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Gotta J, Koch V, Geyer T, Martin SS, Booz C, Mahmoudi S, Eichler K, Reschke P, D'Angelo T, Klimek K, Vogl TJ, Gruenewald LD. Imaging-based risk stratification of patients with pulmonary embolism based on dual-energy CT-derived radiomics. Eur J Clin Invest 2024; 54:e14139. [PMID: 38063028 DOI: 10.1111/eci.14139] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 03/13/2024]
Abstract
BACKGROUND Technological progress in the acquisition of medical images and the extraction of underlying quantitative imaging data has introduced exciting prospects for the diagnostic assessment of a wide range of conditions. This study aims to investigate the diagnostic utility of a machine learning classifier based on dual-energy computed tomography (DECT) radiomics for classifying pulmonary embolism (PE) severity and assessing the risk for early death. METHODS Patients who underwent CT pulmonary angiogram (CTPA) between January 2015 and March 2022 were considered for inclusion in this study. Based on DECT imaging, 107 radiomic features were extracted for each patient using standardized image processing. After dividing the dataset into training and test sets, stepwise feature reduction based on reproducibility, variable importance and correlation analyses were performed to select the most relevant features; these were used to train and validate the gradient-boosted tree models. RESULTS The trained machine learning classifier achieved a classification accuracy of .90 for identifying high-risk PE patients with an area under the receiver operating characteristic curve of .59. This CT-based radiomics signature showed good diagnostic accuracy for risk stratification in individuals presenting with central PE, particularly within higher risk groups. CONCLUSION Models utilizing DECT-derived radiomics features can accurately stratify patients with pulmonary embolism into established clinical risk scores. This approach holds the potential to enhance patient management and optimize patient flow by assisting in the clinical decision-making process. It also offers the advantage of saving time and resources by leveraging existing imaging to eliminate the necessity for manual clinical scoring.
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Affiliation(s)
- Jennifer Gotta
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Vitali Koch
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tobias Geyer
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Katrin Eichler
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Philipp Reschke
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Konrad Klimek
- Goethe University Frankfurt, University Hospital, Clinic for Nuclear Medicine, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
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Steyer A, Puntmann VO, Nagel E, Leistner DM, Koch V, Vasa-Nicotera M, Kumar P, Booz C, Vogl TJ, Mas-Peiro S, Martin SS. Coronary Artery Disease Assessment via On-Site CT Fractional Flow Reserve in Patients Undergoing Transcatheter Aortic Valve Replacement. Radiol Cardiothorac Imaging 2024; 6:e230096. [PMID: 38546330 PMCID: PMC11056750 DOI: 10.1148/ryct.230096] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 01/05/2024] [Accepted: 02/14/2024] [Indexed: 05/01/2024]
Abstract
Purpose To examine the clinical feasibility of workstation-based CT fractional flow reserve (CT-FFR) for coronary artery disease (CAD) evaluation during preprocedural planning in patients undergoing transcatheter aortic valve replacement (TAVR). Materials and Methods In this retrospective single-center study, 434 patients scheduled for TAVR between 2018 and 2020 were screened for study inclusion; a relevant proportion of patients (35.0% [152 of 434]) was not suitable for evaluation due to insufficient imaging properties. A total of 112 patients (mean age, 82.1 years ± 6.7 [SD]; 58 [52%] men) were included in the study. Invasive angiography findings, coronary CT angiography results, and Agatston score were acquired and compared with on-site CT-FFR computation for evaluation of CAD and prediction of major adverse cardiovascular events (MACE) within a 24-month follow-up. Results Hemodynamic relevant CAD, as suggested by CT-FFR of 0.80 or less, was found in 41 of 70 (59%) patients with stenosis of 50% or more. MACE occurred in 23 of 112 (20.5%) patients, from which 14 of 23 had stenoses with CT-FFR of 0.80 or less (hazard ratio [HR], 3.33; 95% CI: 1.56, 7.10; P = .002). CT-FFR remained a significant predictor of MACE after inclusion in a multivariable model with relevant covariables (HR, 2.89; 95% CI: 1.22, 6.86; P = .02). An Agatston score of 1000 Agatston units or more (HR, 2.25; 95% CI: 0.98, 5.21; P = .06) and stenoses of 50% or more determined via invasive angiography (HR, 0.94; 95% CI: 0.41, 2.17; P = .88) were not significant predictors of MACE. Conclusion Compared with conventional CAD markers, CT-FFR better predicted adverse outcomes after TAVR. A relevant portion of the screened cohort, however, was not suitable for CT-based CAD evaluation. Keywords: CT, Transcatheter Aortic Valve Implantation/Replacement (TAVI/TAVR), Cardiac, Coronary Arteries, Outcomes Analysis © RSNA, 2024 See also the commentary by Weir-McCall and Pugliese in this issue.
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Affiliation(s)
- Alexandra Steyer
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - Valentina O. Puntmann
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - Eike Nagel
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - David M. Leistner
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - Vitali Koch
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - Mariuca Vasa-Nicotera
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - Parveen Kumar
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - Christian Booz
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
| | - Thomas J. Vogl
- From the Department of Diagnostic and Interventional Radiology (A.S.,
V.K., C.B., T.J.V., S.S.M.), Institute for Experimental and Translational
Cardiovascular Imaging (A.S., V.O.P., E.N., P.K., S.S.M.), and Department of
Cardiology (D.M.L., M.V.N., S.M.P.), Goethe University Frankfurt, University
Hospital, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany; Department of
Radiology, Fortis Escort Heart Institute, New Delhi, India (P.K.); German Centre
for Cardiovascular Research, Berlin, Germany (E.N., M.V.N., S.M.P., S.S.M.); and
Cardiopulmonary Institute, Frankfurt, Germany (S.M.P.)
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Reschke P, Koch V, Mahmoudi S, Booz C, Yel I, Gotta J, Stahl A, Reschke R, Scholtz JE, Martin SS, Gruber-Rouh T, Eichler K, Vogl TJ, Gruenewald LD. Predictive Value of Dual-Energy CT-Derived Metrics for the Use of Bone Substitutes in Distal Radius Fracture Surgery. Diagnostics (Basel) 2024; 14:697. [PMID: 38611610 PMCID: PMC11011262 DOI: 10.3390/diagnostics14070697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
(1) Background: Low bone mineral density (BMD) is a significant risk factor for complicated surgery and leads to the increased use of bone substitutes in patients with distal radius fractures (DRFs). No accepted model has yet been established to predict the use of bone substitutes to facilitate preoperative planning. (2) Methods: Unenhanced dual-energy CT (DECT) images of DRFs were retrospectively acquired between March 2016 and September 2020 using the internal PACS system. Available follow-up imaging and medical health records were reviewed to determine the use of bone substitutes. DECT-based BMD, trabecular Hounsfield units (HU), cortical HU, and cortical thickness ratio were measured in non-fractured segments of the distal radius. Diagnostic accuracy parameters were calculated for all metrics using receiver-operating characteristic (ROC) curves and associations of all metrics with the use of bone substitutes were evaluated using logistic regression models. (3) The final study population comprised 262 patients (median age 55 years [IQR 43-67 years]; 159 females, 103 males). According to logistic regression analysis, DECT-based BMD was the only metric significantly associated with the use of bone substitutes (odds ratio 0.96, p = 0.003). However, no significant associations were found for cortical HU (p = 0.06), trabecular HU (p = 0.33), or cortical thickness ratio (p = 0.21). ROC-curve analysis revealed that a combined model of all four metrics had the highest diagnostic accuracy with an area under the curve (AUC) of 0.76. (4) Conclusions: DECT-based BMD measurements performed better than HU-based measurements and cortical thickness ratio. The diagnostic performance of all four metrics combined was superior to that of the individual parameters.
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Affiliation(s)
- Philipp Reschke
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Jennifer Gotta
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Adrian Stahl
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Robin Reschke
- Department of Dermatology and Venereology, University Medical Center Hamburg-Eppendorf, 20537 Hamburg, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Simon S. Martin
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
| | - Leon D. Gruenewald
- Department of Diagnostic and Interventional Radiology, Clinic for Radiology and Nuclear Medicine, Hospital of the Goethe University Frankfurt, 60590 Frankfurt am Main, Germany; (P.R.); (V.K.); (I.Y.); (J.G.); (A.S.); (L.D.G.)
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Gotta J, Gruenewald LD, Martin SS, Booz C, Mahmoudi S, Eichler K, Gruber-Rouh T, Biciusca T, Reschke P, Juergens LJ, Onay M, Herrmann E, Scholtz JE, Sommer CM, Vogl TJ, Koch V. From pixels to prognosis: Imaging biomarkers for discrimination and outcome prediction of pulmonary embolism : Original Research Article. Emerg Radiol 2024:10.1007/s10140-024-02216-2. [PMID: 38523224 DOI: 10.1007/s10140-024-02216-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/11/2024] [Indexed: 03/26/2024]
Abstract
PURPOSE Recent advancements in medical imaging have transformed diagnostic assessments, offering exciting possibilities for extracting biomarker-based information. This study aims to investigate the capabilities of a machine learning classifier that incorporates dual-energy computed tomography (DECT) radiomics. The primary focus is on discerning and predicting outcomes related to pulmonary embolism (PE). METHODS The study included 131 participants who underwent pulmonary artery DECT angiography between January 2015 and March 2022. Among them, 104 patients received the final diagnosis of PE and 27 patients served as a control group. A total of 107 radiomic features were extracted for every case based on DECT imaging. The dataset was divided into training and test sets for model development and validation. Stepwise feature reduction identified the most relevant features, which were used to train a gradient-boosted tree model. Receiver operating characteristics analysis and Cox regression tests assessed the association of texture features with overall survival. RESULTS The trained machine learning classifier achieved a classification accuracy of 0.94 for identifying patients with acute PE with an area under the receiver operating characteristic curve of 0.91. Radiomics features could be valuable for predicting outcomes in patients with PE, demonstrating strong prognostic capabilities in survival prediction (c-index, 0.991 [0.979-1.00], p = 0.0001) with a median follow-up of 130 days (IQR, 38-720). Notably, the inclusion of clinical or DECT parameters did not enhance predictive performance. CONCLUSION In conclusion, our study underscores the promising potential of leveraging radiomics on DECT imaging for the identification of patients with acute PE and predicting their outcomes. This approach has the potential to improve clinical decision-making and patient management, offering efficiencies in time and resources by utilizing existing DECT imaging without the need for an additional scoring system.
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Affiliation(s)
- Jennifer Gotta
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
- University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany.
| | | | - Simon S Martin
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Katrin Eichler
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Teodora Biciusca
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Philipp Reschke
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Melis Onay
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Eva Herrmann
- Institut for Biostatistics and Mathematic Modelling, Goethe University Frankfurt, Frankfurt, 60590, Germany
| | - Jan-Erik Scholtz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Thomas J Vogl
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Vitali Koch
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
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Mahmoudi S, Gruenewald LD, Koch V, Bernatz S, Martin SS, Engelskirchen L, Radic I, Bucolo G, D'Angelo T, Gotta J, Mader C, Dos Santos DP, Scholtz JE, Gruber-Rouh T, Eichler K, Vogl TJ, Booz C, Yel I. Potential of Dual-Energy CT-Based Collagen Maps for the Assessment of Disk Degeneration in the Lumbar Spine. Acad Radiol 2024:S1076-6332(24)00127-2. [PMID: 38519304 DOI: 10.1016/j.acra.2024.02.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/16/2024] [Accepted: 02/23/2024] [Indexed: 03/24/2024]
Abstract
RATIONALE AND OBJECTIVES Lumbar disk degeneration is a common condition contributing significantly to back pain. The objective of the study was to evaluate the potential of dual-energy CT (DECT)-derived collagen maps for the assessment of lumbar disk degeneration. PATIENTS AND METHODS We conducted a retrospective analysis of 127 patients who underwent dual-source DECT and MRI of the lumbar spine between 07/2019 and 10/2022. The level of lumbar disk degeneration was categorized by three radiologists as follows: no/mild (Pfirrmann 1&2), moderate (Pfirrmann 3&4), and severe (Pfirrmann 5). Recall (sensitivity) and accuracy of DECT collagen maps were calculated. Intraclass correlation coefficient (ICC) was used to evaluate inter-reader reliability. Subjective evaluations were performed using 5-point Likert scales for diagnostic confidence and image quality. RESULTS We evaluated a total of 762 intervertebral disks from 127 patients (median age, 69.7 (range, 23.0-93.7), female, 56). MRI identified 230 non/mildly degenerated disks (30.2%), 484 moderately degenerated disks (63.5%), and 48 severely degenerated disks (6.3%). DECT collagen maps yielded an overall accuracy of 85.5% (1955/2286). Recall (sensitivity) was 79.3% (547/690) for the detection of no/mild lumbar disk degeneration, 88.7% (1288/1452) for the detection of moderate disk degeneration, and 83.3% (120/144) for the detection of severe disk degeneration (ICC=0.9). Subjective evaluations of DECT collagen maps showed high diagnostic confidence (median 4) and good image quality (median 4). CONCLUSION The use of DECT collagen maps to distinguish different stages of lumbar disk degeneration may have clinical significance in the early diagnosis of disk-related pathologies in patients with contraindications for MRI or in cases of unavailability of MRI.
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Affiliation(s)
- Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany; Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Lara Engelskirchen
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Ivana Radic
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Giuseppe Bucolo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Jennifer Gotta
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Christoph Mader
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Daniel Pinto Dos Santos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany; Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
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6
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Reschke P, Gotta J, Stahl A, Koch V, Mader C, Martin SS, Scholtz JE, Booz C, Yel I, Hescheler DA, Gruber-Rouh T, Eichler K, Vogl TJ, Gruenewald LD. Value of Dual-Energy CT-Derived Metrics for the Prediction of Bone Non-union in Distal Radius Fractures. Acad Radiol 2024:S1076-6332(24)00063-1. [PMID: 38461052 DOI: 10.1016/j.acra.2024.01.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/14/2024] [Accepted: 01/30/2024] [Indexed: 03/11/2024]
Abstract
RATIONALE AND OBJECTIVES Bone non-union is a serious complication of distal radius fractures (DRF) that can result in functional limitations and persistent pain. However, no accepted method has been established to identify patients at risk of developing bone non-union yet. This study aimed to compare various CT-derived metrics for bone mineral density (BMD) assessment to identify predictive values for the development of bone non-union. MATERIALS AND METHODS CT images of 192 patients with DRFs who underwent unenhanced dual-energy CT (DECT) of the distal radius between 03/2016 and 12/2020 were retrospectively identified. Available follow-up imaging and medical health records were evaluated to determine the occurrence of bone non-union. DECT-based BMD, trabecular Hounsfield unit (HU), cortical HU and cortical thickness ratio were measured in normalized non-fractured segments of the distal radius. RESULTS Patients who developed bone non-union were significantly older (median age 72 years vs. 54 years) and had a significantly lower DECT-based BMD (median 68.1 mg/cm3 vs. 94.6 mg/cm3, p < 0.001). Other metrics (cortical thickness ratio, cortical HU, trabecular HU) showed no significant differences. ROC and PR curve analyses confirmed the highest diagnostic accuracy for DECT-based BMD with an area under the curve (AUC) of 0.83 for the ROC curve and an AUC of 0.46 for the PR curve. In logistic regression models, DECT-based BMD was the sole metric significantly associated with bone non-union. CONCLUSION DECT-derived metrics can accurately predict bone non-union in patients who sustained DRF. The diagnostic performance of DECT-based BMD is superior to that of HU-based metrics and cortical thickness ratio.
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Affiliation(s)
- Philipp Reschke
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany.
| | - Jennifer Gotta
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Adrian Stahl
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Christoph Mader
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Daniel A Hescheler
- Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, Hospital of the Goethe University Frankfurt, Frankfurt am Main, Germany
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7
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Bernatz S, Böth I, Ackermann J, Burck I, Mahmoudi S, Lenga L, Martin SS, Scholtz JE, Koch V, Grünewald LD, Koch I, Stöver T, Wild PJ, Winkelmann R, Vogl TJ, Pinto Dos Santos D. Does Dual-Energy Computed Tomography Material Decomposition Improve Radiomics Capability to Predict Survival in Head and Neck Squamous Cell Carcinoma Patients? A Preliminary Investigation. J Comput Assist Tomogr 2024; 48:323-333. [PMID: 38013237 DOI: 10.1097/rct.0000000000001551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
OBJECTIVE Our study objective was to explore the additional value of dual-energy CT (DECT) material decomposition for squamous cell carcinoma of the head and neck (SCCHN) survival prognostication. METHODS A group of 50 SCCHN patients (male, 37; female, 13; mean age, 63.6 ± 10.82 years) with baseline head and neck DECT between September 2014 and August 2020 were retrospectively included. Primary tumors were segmented, radiomics features were extracted, and DECT material decomposition was performed. We used independent train and validation datasets with cross-validation and 100 independent iterations to identify prognostic signatures applying elastic net (EN) and random survival forest (RSF). Features were ranked and intercorrelated according to their prognostic importance. We benchmarked the models against clinical parameters. Intraclass correlation coefficients were used to analyze the interreader variation. RESULTS The exclusively radiomics-trained models achieved similar ( P = 0.947) prognostic performance of area under the curve (AUC) = 0.784 (95% confidence interval [CI], 0.775-0.812) (EN) and AUC = 0.785 (95% CI, 0.759-0.812) (RSF). The additional application of DECT material decomposition did not improve the model's performance (EN, P = 0.594; RSF, P = 0.198). In the clinical benchmark, the top averaged AUC value of 0.643 (95% CI, 0.611-0.675) was inferior to the quantitative imaging-biomarker models ( P < 0.001). A combined imaging and clinical model did not improve the imaging-based models ( P > 0.101). Shape features revealed high prognostic importance. CONCLUSIONS Radiomics AI applications may be used for SCCHN survival prognostication, but the spectral information of DECT material decomposition did not improve the model's performance in our preliminary investigation.
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Affiliation(s)
| | - Ines Böth
- From the Department of Diagnostic and Interventional Radiology
| | - Jörg Ackermann
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University
| | - Iris Burck
- From the Department of Diagnostic and Interventional Radiology
| | | | - Lukas Lenga
- From the Department of Diagnostic and Interventional Radiology
| | - Simon S Martin
- From the Department of Diagnostic and Interventional Radiology
| | | | - Vitali Koch
- From the Department of Diagnostic and Interventional Radiology
| | | | - Ina Koch
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University
| | - Timo Stöver
- Department of Otorhinolaryngology, University Hospital Frankfurt, Goethe University Frankfurt am Main
| | | | - Ria Winkelmann
- Dr Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main
| | - Thomas J Vogl
- From the Department of Diagnostic and Interventional Radiology
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8
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Gruenewald LD, Booz C, Gotta J, Reschke P, Martin SS, Mahmoudi S, Bernatz S, Eichler K, D'Angelo T, Chernyak V, Sommer CM, Vogl TJ, Koch V. Incident fractures of the distal radius: Dual-energy CT-derived metrics for opportunistic risk stratification. Eur J Radiol 2024; 171:111283. [PMID: 38183896 DOI: 10.1016/j.ejrad.2023.111283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/13/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Dual-energy CT (DECT)-derived bone mineral density (BMD) of the distal radius and other CT-derived metrics related to bone health have been suggested for opportunistic osteoporosis screening and risk evaluation for sustaining distal radius fractures (DRFs). METHODS The distal radius of patients who underwent DECT between 01/2016 and 08/2021 was retrospectively analyzed. Cortical Hounsfield Unit (HU), trabecular HU, cortical thickness, and DECT-based BMD were acquired from a non-fractured, metaphyseal area in all examinations. Receiver-operating characteristic (ROC) analysis was conducted to determine the area under the curve (AUC) values for predicting DRFs based on DECT-derived BMD, HU values, and cortical thickness. Logistic regression models were then employed to assess the associations of these parameters with the occurrence of DRFs. RESULTS In this study, 263 patients (median age: 52 years; interquartile range: 36-64; 132 women; 192 fractures) were included. ROC curve analysis revealed a higher area under the curve (AUC) value for DECT-derived BMD compared to cortical HU, trabecular HU, and cortical thickness (0.91 vs. 0.61, 0.64, and 0.69, respectively; p <.001). Logistic regression models confirmed the association between lower DECT-derived BMD and the occurrence of DRFs (Odds Ratio, 0.83; p <.001); however, no influence was observed for cortical HU, trabecular HU, or cortical thickness. CONCLUSIONS DECT can be used to assess the BMD of the distal radius without dedicated equipment such as calibration phantoms to increase the detection rates of osteoporosis and stratify the individual risk to sustain DRFs. In contrast, assessing HU-based values and cortical thickness does not provide clinical benefit.
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Affiliation(s)
- Leon D Gruenewald
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Christian Booz
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Jennifer Gotta
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Philipp Reschke
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon S Martin
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon Bernatz
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Katrin Eichler
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Victoria Chernyak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Thomas J Vogl
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Vitali Koch
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
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9
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Gotta J, Gruenewald LD, Geyer T, Eichler K, Martin SS, Mahmoudi S, Booz C, Biciusca T, Reschke P, Juergens LJ, Sommer CM, D'Angelo T, Almansour H, Onay M, Herrmann E, Vogl TJ, Koch V. Indicators for Hospitalization in Acute Pulmonary Embolism: Uncover the Association Between D-dimer Levels, Thrombus Volume and Radiomics. Acad Radiol 2024:S1076-6332(23)00724-9. [PMID: 38242733 DOI: 10.1016/j.acra.2023.12.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 12/23/2023] [Accepted: 12/30/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND The advent of advanced computed tomography (CT) technology and the field of radiomics has opened up new avenues in diagnostic assessments. Increasingly, there is substantial evidence advocating for the incorporation of quantitative imaging biomarkers in the clinical decision-making process. This study aimed to examine the correlation between D-dimer levels and thrombus size in acute pulmonary embolism (PE) combining dual-energy CT (DECT) and radiomics and to investigate the diagnostic utility of a machine learning classifier based on dual-energy computed tomography (DECT) radiomics for identifying patients with a complicated course, defined as at least hospitalization at IMC. METHODS The study was conducted including 136 participants who underwent pulmonary artery CT angiography from January 2015 to March 2022. Based on DECT imaging, 107 radiomic features were extracted for each patient using standardized image processing. After dividing the dataset into training and test sets, stepwise feature reduction based on reproducibility, variable importance and correlation analyses were performed to select the most relevant features; these were used to train and validate the gradient-boosted tree models.Receiver operating characteristics (ROC) analysis was utilized to evaluate the association between volumetric, laboratory data and adverse outcomes. RESULTS In the central PE group, we observed a significant correlation between thrombus volumetrics and D-dimer levels (p = 0.0037), as well as between thrombus volumetrics and hospitalization at the Intermediate Care Unit (IMC) (p = 0.0001). In contrast, no statistically significant differences were identified in thrombus sizes between patients who experienced complications and those who had a favorable course (p = 0.3162). The trained machine learning classifier achieved an accuracy of 61% and 55% in identifying patients with a complicated course, as indicated by an area under the ROC curve of 0.63 and 0.58. CONCLUSION In conclusion, our findings indicate a positive correlation between D-dimer levels and central PE's pulmonary embolic burden. Thrombus volumetrics may serve as an indicator for complications and outcomes in acute PE patients. Thus, thrombus volumetrics, as opposed to D-dimers, could be an additional marker for evaluating embolic disease severity. Moreover, DECT-derived radiomic feature models show promise in identifying patients with a complicated course, such as hospitalization at IMC.
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Affiliation(s)
- Jennifer Gotta
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.).
| | - Leon D Gruenewald
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Tobias Geyer
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Katrin Eichler
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Simon S Martin
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Scherwin Mahmoudi
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Christian Booz
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Teodora Biciusca
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Philipp Reschke
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Lisa-Joy Juergens
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany (C.M.S.)
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy (T.D.)
| | - Haidara Almansour
- Department of Diagnostic and Interventional Radiology, Tuebingen University Hospital, Tuebingen, Germany (H.A.)
| | - Melis Onay
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany (M.O.)
| | - Eva Herrmann
- Institute for Biostatistics and Mathematic Modelling, Goethe University Frankfurt, 60590, Frankfurt, Germany (E.H.)
| | - Thomas J Vogl
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
| | - Vitali Koch
- Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany (J.G., L.D.G., T.G., K.E., S.S.M., S.M., C.B., T.B., P.R., J.J., T.J.V., V.K.)
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10
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Gruenewald LD, Booz C, Martin SS, Mahmoudi S, Yel I, Eichler K, Alizadeh LS, Bernatz S, Gotta J, Reschke P, Weber C, Sommer CM, D'Angelo T, Bucolo G, Leistner DM, Vogl TJ, Koch V. Diagnostic performance of modern computed tomography in cruciate ligament injury detection: A comprehensive study. Eur J Radiol 2024; 170:111235. [PMID: 38071908 DOI: 10.1016/j.ejrad.2023.111235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/30/2023] [Accepted: 11/25/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND This study aimed to evaluate the clinical utility of modern single and dual-energy computed tomography (CT) for assessing the integrity of the cruciate ligaments in patients that sustained acute trauma. METHODS Patients who underwent single- or dual-energy CT followed by 3 Tesla magnetic resonance imaging (MRI) or knee joint arthroscopy between 01/2016 and 12/2022 were included in this retrospective, monocentric study. Three radiologists specialized in musculoskeletal imaging independently evaluated all CT images for the presence of injury to the cruciate ligaments. An MRI consensus reading of two experienced readers and arthroscopy provided the reference standard. Diagnostic accuracy parameters and area under the receiver operator characteristic curve (AUC) were the primary metrics for diagnostic performance. RESULTS CT images of 204 patients (median age, 49 years; IQR 36 - 64; 113 males) were evaluated. Dual-energy CT yielded significantly higher diagnostic accuracy and AUC for the detection of injury to the anterior (94% [240/255] vs 75% [266/357] and 0.89 vs 0.66) and posterior cruciate ligaments (95% [243/255] vs 87% [311/357] and 0.90 vs 0.61) compared to single-energy CT (all parameters, p <.005). Diagnostic confidence and image quality were significantly higher in dual-energy CT compared to single-energy CT (all parameters, p <.005). CONCLUSIONS Modern dual-energy CT is readily available and can serve as a screening tool for detecting or excluding cruciate ligament injuries in patients with acute trauma. Accurate diagnosis of cruciate ligament injuries is crucial to prevent adverse outcomes, including delayed treatment, chronic instability, or long-term functional limitations.
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Affiliation(s)
- Leon D Gruenewald
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Christian Booz
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon S Martin
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Katrin Eichler
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Leona S Alizadeh
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon Bernatz
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Jennifer Gotta
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Philipp Reschke
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Christophe Weber
- Department of Cardiology, Angiology, and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Giuseppe Bucolo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - David M Leistner
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Vitali Koch
- Goethe University Frankfurt, University Hospital, Institute for Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
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11
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Uebelacker R, Martin SS, Vasa-Nicotera M, Mas-Peiro S. Value of Post-/Pre-Procedural Aortic Regurgitation Ratio vs. Pre-Procedural Aortic Valve Calcium Score to Predict Moderate to Severe Paravalvular Leak Requiring Post-Dilation after Transcatheter Aortic Valve Implantation. J Clin Med 2023; 12:7735. [PMID: 38137804 PMCID: PMC10743807 DOI: 10.3390/jcm12247735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/01/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND AND AIM Tools that assist interventionists in selecting patients for post-dilation (PD) are needed. We aimed to assess whether pre-interventional aortic valve calcium (AVC) or the peri-interventional aortic regurgitation (ARI) ratio is a better predictor for a more than mild paravalvular leak (PVL) requiring PD after TAVI. METHODS Patients undergoing TAVI with available data on AVC derived from MSCTs and the ARI ratio derived from peri-interventional hemodynamic curves were studied. The main outcome was moderate-to-severe PVL requiring PD. RESULTS In 237 patients, more than mild PVL after valve deployment was present in 25.7%. PD was performed in 65 patients. The median (IQR) total AVC was 390.5 (211.5-665.4) mm3. All calcification values were significantly higher in patients who underwent PD. The median (IQR) individual threshold was 600 (550-685) Hus. The overall ARI ratio was 0.78 (0.61-0.96), with values being significantly lower in patients who underwent PD: 0.61 (0.49-0.80) vs. 0.82 (0.69-0.99) (p < 0.001). Both the ARI ratio (OR [95%CI] 0.053 [0.014-0.203]; p < 0.001) and AVC (1.01 [1.000-1.002]; p = 0.015) predicted PD need. ROC curves showed higher discrimination for the ARI ratio (AUC 0.73) than for any calcification parameter (all AUCs ≤ 0.62). CONCLUSIONS The ARI ratio provides interventionists with a powerful predictive tool for PVL requiring PD after TAVI that is beyond the predictive value of pre-procedural valve calcification derived from MSCT.
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Affiliation(s)
- Roman Uebelacker
- Department of Cardiology, University Hospital Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (R.U.); (M.V.-N.)
| | - Simon S. Martin
- Department of Radiology, University Hospital Frankfurt am Main, 60590 Frankfurt am Main, Germany;
| | - Mariuca Vasa-Nicotera
- Department of Cardiology, University Hospital Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (R.U.); (M.V.-N.)
- German Centre for Cardiovascular Research (DZHK), 10785 Berlin, Germany
- Cardiopulmonary Institute (CPI), 60590 Frankfurt am Main, Germany
| | - Silvia Mas-Peiro
- Department of Cardiology, University Hospital Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (R.U.); (M.V.-N.)
- German Centre for Cardiovascular Research (DZHK), 10785 Berlin, Germany
- Cardiopulmonary Institute (CPI), 60590 Frankfurt am Main, Germany
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12
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Vogl TJ, Fouad MEEM, Martin SS, Al Shaya EA, Emara EH, Nour-Eldin NEA. [Computertomographie-gesteuerte retromaxilläre Drainage eines disseminierten infratemporalen Abszesses nach Tonsillitis: ein Fallbericht]. ROFO-FORTSCHR RONTG 2023; 195:1129-1130. [PMID: 37467776 DOI: 10.1055/a-2096-8345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Affiliation(s)
- Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | | | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Emad Ali Al Shaya
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Emad Hassan Emara
- Diagnostic and Interventional Radiology, Kafrelsheikh University, Kafr el-Sheikh, Egypt
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13
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Mahmoudi S, Gruenewald LD, Eichler K, Althoff FC, Martin SS, Bernatz S, Booz C, Yel I, Kinzler MN, Ziegengeist NS, Torgashov K, Mohammed H, Geyer T, Scholtz JE, Hammerstingl RM, Weber C, Hardt SE, Sommer CM, Gruber-Rouh T, Leistner DM, Vogl TJ, Koch V. Multiparametric Evaluation of Radiomics Features and Dual-Energy CT Iodine Maps for Discrimination and Outcome Prediction of Thymic Masses. Acad Radiol 2023; 30:3010-3021. [PMID: 37105804 DOI: 10.1016/j.acra.2023.03.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 04/29/2023]
Abstract
RATIONALE AND OBJECTIVES To investigate the diagnostic value of radiomics features and dual-source dual-energy CT (DECT) based material decomposition in differentiating low-risk thymomas, high-risk thymomas, and thymic carcinomas. MATERIALS AND METHODS This retrospective study included 32 patients (16 males, mean age 66 ± 14 years) with pathologically confirmed thymic masses who underwent contrast-enhanced DECT between 10/2014 and 01/2023. Two experienced readers evaluated all patients regarding conventional radiomics features, as well as DECT-based features, including attenuation (HU), iodine density (mg/mL), and fat fraction (%). Data comparisons were performed using analysis of variance and chi-square statistic tests. Receiver operating characteristic curve analysis and Cox-regression tests were used to discriminate between low-risk/high-risk thymomas and thymic carcinomas. RESULTS Of the 32 thymic tumors, 12 (38%) were low-risk thymomas, 11 (34%) were high-risk thymomas, and 9 (28%) were thymic carcinomas. Values differed significantly between low-risk thymoma, high-risk thymoma, and thymic carcinoma regarding DECT-based features (p ≤ 0.023) and 30 radiomics features (p ≤ 0.037). The area under the curve to differentiate between low-risk/high-risk thymomas and thymic cancer was 0.998 (95% CI, 0.915-1.000; p < 0.001) for the combination of DECT imaging parameters and radiomics features, yielding a sensitivity of 100% and specificity of 96%. During a follow-up of 60 months (IQR, 35-60 months), the multiparametric approach including radiomics features, DECT parameters, and clinical parameters showed an excellent prognostic power to predict all-cause mortality (c-index = 0.978 [95% CI, 0.958-0.998], p = 0.003). CONCLUSION A multiparametric approach including conventional radiomics features and DECT-based features facilitates accurate, non-invasive discrimination between low-risk/high-risk thymomas and thymic carcinomas.
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Affiliation(s)
- Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.).
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Friederike C Althoff
- Department of Internal Medicine II, University Hospital Frankfurt, Frankfurt am Main, Germany (F.C.A.)
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Maximilian N Kinzler
- Department of Internal Medicine I, University Hospital Frankfurt, Frankfurt am Main, Germany (M.N.K.)
| | - Nicole Suarez Ziegengeist
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Katerina Torgashov
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Hanin Mohammed
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Tobias Geyer
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Christophe Weber
- Department of Cardiology, Angiology and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany (C.W., S.E.H.)
| | - Stefan E Hardt
- Department of Cardiology, Angiology and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany (C.W., S.E.H.)
| | - Christof M Sommer
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (C.M.S.)
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - David M Leistner
- Department of Internal Medicine III, University Hospital Frankfurt, Frankfurt am Main, Germany (D.M.L.)
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany (S.M., L.D.G., K.E., S.S.M., S.B., C.B., I.Y., N.S.Z., K.T., H.M., T.G., J.-E.S., R.M.H., T.G.-R., T.J.V., V.K.)
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14
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Mahmoudi S, Gruenewald LD, Eichler K, Martin SS, Booz C, Bernatz S, Lahrsow M, Yel I, Gotta J, Biciusca T, Mohammed H, Ziegengeist NS, Torgashov K, Hammerstingl RM, Sommer CM, Weber C, Almansour H, Bucolo G, D'Angelo T, Scholtz JE, Gruber-Rouh T, Vogl TJ, Koch V. Advanced biomedical imaging for accurate discrimination and prognostication of mediastinal masses. Eur J Clin Invest 2023; 53:e14075. [PMID: 37571983 DOI: 10.1111/eci.14075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/06/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND To investigate the potential of radiomic features and dual-source dual-energy CT (DECT) parameters in differentiating between benign and malignant mediastinal masses and predicting patient outcomes. METHODS In this retrospective study, we analysed data from 90 patients (38 females, mean age 51 ± 25 years) with confirmed mediastinal masses who underwent contrast-enhanced DECT. Attenuation, radiomic features and DECT-derived imaging parameters were evaluated by two experienced readers. We performed analysis of variance (ANOVA) and Chi-square statistic tests for data comparison. Receiver operating characteristic curve analysis and Cox regression tests were used to differentiate between mediastinal masses. RESULTS Of the 90 mediastinal masses, 49 (54%) were benign, including cases of thymic hyperplasia/thymic rebound (n = 10), mediastinitis (n = 16) and thymoma (n = 23). The remaining 41 (46%) lesions were classified as malignant, consisting of lymphoma (n = 28), mediastinal tumour (n = 4) and thymic carcinoma (n = 9). Significant differences were observed between benign and malignant mediastinal masses in all DECT-derived parameters (p ≤ .001) and 38 radiomic features (p ≤ .044) obtained from contrast-enhanced DECT. The combination of these methods achieved an area under the curve of .98 (95% CI, .893-1.000; p < .001) to differentiate between benign and malignant masses, with 100% sensitivity and 91% specificity. Throughout a follow-up of 1800 days, a multiparametric model incorporating radiomic features, DECT parameters and gender showed promising prognostic power in predicting all-cause mortality (c-index = .8 [95% CI, .702-.890], p < .001). CONCLUSIONS A multiparametric approach combining radiomic features and DECT-derived imaging biomarkers allows for accurate and noninvasive differentiation between benign and malignant masses in the anterior mediastinum.
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Affiliation(s)
- Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Maximilian Lahrsow
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Jennifer Gotta
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Teodora Biciusca
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Hanin Mohammed
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Nicole Suarez Ziegengeist
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Katerina Torgashov
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christof M Sommer
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Christophe Weber
- Department of Cardiology, Angiology and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
| | - Haidara Almansour
- Department of Diagnostic and Interventional Radiology, Tuebingen University Hospital, Tuebingen, Germany
| | - Giuseppe Bucolo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
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15
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Gotta J, Gruenewald LD, Eichler K, Martin SS, Mahmoudi S, Booz C, Biciusca T, Reschke P, Bernatz S, Pinto Dos Santos D, Scholtz JE, Alizadeh LS, Nour-Eldin NEA, Hammerstingl RM, Gruber-Rouh T, Mader C, Hardt SE, Sommer CM, Bucolo G, D'Angelo T, Onay M, Finkelmeier F, Leistner DM, Vogl TJ, Giannitsis E, Koch V. Unveiling the diagnostic enigma of D-dimer testing in cancer patients: Current evidence and areas of application. Eur J Clin Invest 2023; 53:e14060. [PMID: 37409393 DOI: 10.1111/eci.14060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 05/30/2023] [Accepted: 06/15/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Cancer is a well-known risk factor for venous thromboembolism (VTE). A combined strategy of D-dimer testing and clinical pre-test probability is usually used to exclude VTE. However, its effectiveness is diminished in cancer patients due to reduced specificity, ultimately leading to a decreased clinical utility. This review article seeks to provide a comprehensive summary of how to interpret D-dimer testing in cancer patients. METHODS In accordance with PRISMA standards, literature pertaining to the diagnostic and prognostic significance of D-dimer testing in cancer patients was carefully chosen from reputable sources such as PubMed and the Cochrane databases. RESULTS D-dimers have not only a diagnostic value in ruling out VTE but can also serve as an aid for rule-in if their values exceed 10-times the upper limit of normal. This threshold allows a diagnosis of VTE in cancer patients with a positive predictive value of more than 80%. Moreover, elevated D-dimers carry important prognostic information and are associated with VTE reoccurrence. A gradual increase in risk for all-cause death suggests that VTE is also an indicator of biologically more aggressive cancer types and advanced cancer stages. Considering the lack of standardization for D-dimer assays, it is essential for clinicians to carefully consider the variations in assay performance and the specific test characteristics of their institution. CONCLUSIONS Standardizing D-dimer assays and developing modified pretest probability models specifically for cancer patients, along with adjusted cut-off values for D-dimer testing, could significantly enhance the accuracy and effectiveness of VTE diagnosis in this population.
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Affiliation(s)
- Jennifer Gotta
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Katrin Eichler
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Christian Booz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Teodora Biciusca
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Philipp Reschke
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon Bernatz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Jan-Erik Scholtz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leona S Alizadeh
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | | | | | - Christoph Mader
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Stefan E Hardt
- Department of Cardiology, Angiology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Giuseppe Bucolo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Melis Onay
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - David M Leistner
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Vitali Koch
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
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16
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Bernatz S, Koch V, Dos Santos DP, Ackermann J, Grünewald LD, Weitkamp I, Yel I, Martin SS, Lenga L, Scholtz JE, Vogl TJ, Mahmoudi S. Comparison of radiomics models and dual-energy material decomposition to decipher abdominal lymphoma in contrast-enhanced CT. Int J Comput Assist Radiol Surg 2023; 18:1829-1839. [PMID: 36877288 PMCID: PMC10497439 DOI: 10.1007/s11548-023-02854-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/10/2023] [Indexed: 03/07/2023]
Abstract
PURPOSE The radiologists' workload is increasing, and computational imaging techniques may have the potential to identify visually unequivocal lesions, so that the radiologist can focus on equivocal and critical cases. The purpose of this study was to assess radiomics versus dual-energy CT (DECT) material decomposition to objectively distinguish visually unequivocal abdominal lymphoma and benign lymph nodes. METHODS Retrospectively, 72 patients [m, 47; age, 63.5 (27-87) years] with nodal lymphoma (n = 27) or benign abdominal lymph nodes (n = 45) who had contrast-enhanced abdominal DECT between 06/2015 and 07/2019 were included. Three lymph nodes per patient were manually segmented to extract radiomics features and DECT material decomposition values. We used intra-class correlation analysis, Pearson correlation and LASSO to stratify a robust and non-redundant feature subset. Independent train and test data were applied on a pool of four machine learning models. Performance and permutation-based feature importance was assessed to increase the interpretability and allow for comparison of the models. Top performing models were compared by the DeLong test. RESULTS About 38% (19/50) and 36% (8/22) of the train and test set patients had abdominal lymphoma. Clearer entity clusters were seen in t-SNE plots using a combination of DECT and radiomics features compared to DECT features only. Top model performances of AUC = 0.763 (CI = 0.435-0.923) were achieved for the DECT cohort and AUC = 1.000 (CI = 1.000-1.000) for the radiomics feature cohort to stratify visually unequivocal lymphomatous lymph nodes. The performance of the radiomics model was significantly (p = 0.011, DeLong) superior to the DECT model. CONCLUSIONS Radiomics may have the potential to objectively stratify visually unequivocal nodal lymphoma versus benign lymph nodes. Radiomics seems superior to spectral DECT material decomposition in this use case. Therefore, artificial intelligence methodologies may not be restricted to centers with DECT equipment.
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Affiliation(s)
- Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
- Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Daniel Pinto Dos Santos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - Jörg Ackermann
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, 60325 Frankfurt am Main, Germany
| | - Leon D. Grünewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Inga Weitkamp
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Simon S. Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Lukas Lenga
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
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Gruenewald LD, Koch V, Martin SS, Yel I, Mahmoudi S, Bernatz S, Eichler K, Alizadeh LS, D'Angelo T, Mazziotti S, Singer H, Heck V, Vogl TJ, Booz C. Diagnostic value of DECT-based colored collagen maps for the assessment of cruciate ligaments in patients with acute trauma. Eur Radiol 2023; 33:6339-6350. [PMID: 37000215 PMCID: PMC10415420 DOI: 10.1007/s00330-023-09558-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/27/2023] [Accepted: 03/10/2023] [Indexed: 04/01/2023]
Abstract
OBJECTIVES The purpose of this study was to evaluate the diagnostic accuracy of third-generation dual-source dual-energy CT (DECT) color-coded collagen reconstructions for the assessment of the cruciate ligaments compared to standard grayscale image reconstruction. METHODS Patients who underwent third-generation dual-source DECT followed by either 3-T MRI or arthroscopy of the knee joint within 14 days between January 2016 and December 2021 were included in this retrospective study. Five radiologists independently evaluated conventional grayscale DECT for the presence of injury to the cruciate ligaments; after 4 weeks, readers re-evaluated the examinations using grayscale images and color-coded collagen reconstructions. A reference standard for MRI was provided by a consensus reading of two experienced readers and arthroscopy. Sensitivity and specificity were the primary metrics of diagnostic performance. RESULTS Eighty-five patients (mean age, 44 years ± 16; 50 male) with injury to the ACL or PCL (n = 31) were ultimately included. Color-coded collagen reconstructions significantly increased overall sensitivity (94/105 [90%] vs. 67/105 [64%]), specificity (248/320 [78%] vs. 215/320 [67%]), PPV (94/166 [57%] vs. 67/162 [39%]), NPV (248/259 [96%] vs. 215/253 [85%]), and accuracy (342/425 [81%] vs. 282/425 [66%]) for the detection of injury to the anterior cruciate ligament (all parameters, p < .001). For injury to the posterior cruciate ligament, diagnostic accuracy increased for complete tears (p < .001). Color-coded collagen reconstructions achieved superior diagnostic confidence, image quality, and noise scores compared to grayscale CT (all parameters, p < .001) and showed good agreement with MRI examinations. CONCLUSIONS DECT-derived color-coded collagen reconstructions yield substantially higher diagnostic accuracy and confidence for assessing the integrity of the cruciate ligaments compared to standard grayscale CT in patients with acute trauma. KEY POINTS • Color-coded collagen reconstructions derived from dual-energy CT yield substantially higher diagnostic accuracy and confidence for the assessment of the cruciate ligaments compared to standard grayscale CT in patients with acute trauma. • Color-coded collagen reconstructions demonstrate good agreement with MRI for the assessment cruciate ligament injury. • Dual-energy CT may serve as a readily available screening approach for patients with acute trauma to the knee when injury to the cruciate ligaments is suspected.
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Affiliation(s)
- Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
| | - Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
| | - Simon S Martin
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Leona S Alizadeh
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Silvio Mazziotti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Hendrik Singer
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
| | - Vincent Heck
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany
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Juergens LJ, Thalhammer A, Gruber-Rouh T, Koch V, Vogl TJ, Martin SS. Coil embolization of a fistula from the right inferior phrenic artery to the right pulmonary artery with involvement of further arteries: A rare case report. J Radiol Case Rep 2023; 17:22-28. [PMID: 38098960 PMCID: PMC10718308 DOI: 10.3941/jrcr.v17i8.4972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2023] Open
Abstract
A 51-year-old female patient was presenting dyspnea for more than a year with no previous lung infections or surgery. Initially, a diagnostic computed tomography was made, showing a rare arterio-arterial malformation between the right inferior phrenic and right pulmonary artery leading into a vascular bundle in the middle lung lobe. Due to the patients' dyspnea and massive extent of malformation, the indication for transcatheter arterial embolization was made. The first transcatheter arterial embolization procedure involved the inferior phrenic and a selective branch of the internal thoracic artery. Interventional angiography as well as computed tomography revealed further extend of the malformation showing a connection of right lateral thoracic, hepatic, and inferior epigastric artery to the fistula. After one month, a second transcatheter arterial embolization of these arteries as well as a second approach of the proximal internal thoracic artery was performed. In the follow-up the patient described a substantial improvement of her dyspnea and showed no signs of infections. A phrenic artery to pulmonary artery fistula is an extremely rare case occurring congenital or acquired. Patients may be asymptomatic or present, among others, dyspnea, hemoptysis, pulmonary infections and congestive heart failure. Symptomatic patients require treatment using transcatheter arterial embolization or surgical resection. The patient had dyspnea and a substantial extent of malformation with possibly complicated clinical course. The recommended less invasive treatment using transcatheter arterial embolization was successfully performed. In conclusion, our patient represented a rare congenital case of systemic and pulmonary artery communication, which we were able to treat sufficiently with coil embolization.
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Affiliation(s)
- L J Juergens
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Germany
| | - A Thalhammer
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Germany
| | - T Gruber-Rouh
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Germany
| | - V Koch
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Germany
| | - T J Vogl
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Germany
| | - S S Martin
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Germany
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19
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Gruenewald LD, Koch V, Martin SS, Yel I, Mahmoudi S, Bernatz S, Eichler K, Gruber-Rouh T, Pinto Dos Santos D, D'Angelo T, Wesarg S, Herrmann E, Golbach R, Handon M, Vogl TJ, Booz C. Dual-Energy CT-based Opportunistic Volumetric Bone Mineral Density Assessment of the Distal Radius. Radiology 2023; 308:e223150. [PMID: 37552067 DOI: 10.1148/radiol.223150] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Background In patients with distal radius fractures (DRFs), low bone mineral density (BMD) is associated with bone substitute use during surgery and bone nonunion, but BMD information is not regularly available. Purpose To evaluate the feasibility of dual-energy CT (DECT)-based BMD assessment from routine examinations in the distal radius and the relationship between the obtained BMD values, the occurrence of DRFs, bone nonunion, and use of surgical bone substitute. Materials and Methods Scans in patients who underwent routine dual-source DECT in the distal radius between January 2016 and December 2021 were retrospectively acquired. Phantomless BMD assessment was performed using the delineated trabecular bone of a nonfractured segment of the distal radius and both DECT image series. CT images and health records were examined to determine fracture severity, surgical management, and the occurrence of bone nonunion. Associations of BMD with the occurrence of DRFs, bone nonunion, and bone substitute use at surgical treatment were examined with generalized additive models and receiver operating characteristic analysis. Results This study included 263 patients (median age, 52 years; IQR, 36-64 years; 132 female patients), of whom 192 were diagnosed with fractures. Mean volumetric BMD was lower in patients who sustained a DRF (93.9 mg/cm3 vs 135.4 mg/cm3; P < .001), required bone substitutes (79.6 mg/cm3 vs 95.5 mg/cm3; P < .001), and developed bone nonunion (71.1 mg/cm3 vs 96.5 mg/cm3; P < .001). Receiver operating characteristic curve analysis identified these patients with an area under the curve of 0.71-0.91 (P < .001). Lower BMD increased the risk to sustain DRFs, develop bone nonunion, and receive bone substitutes at surgery (P < .001). Conclusion DECT-based BMD assessment at routine examinations is feasible and could help predict surgical bone substitute use and the occurrence of bone nonunion in patients with DRFs. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Carrino in this issue.
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Affiliation(s)
- Leon D Gruenewald
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Vitali Koch
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Simon S Martin
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Ibrahim Yel
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Scherwin Mahmoudi
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Simon Bernatz
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Katrin Eichler
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Tatjana Gruber-Rouh
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Daniel Pinto Dos Santos
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Tommaso D'Angelo
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Stefan Wesarg
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Eva Herrmann
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Rejane Golbach
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Marlin Handon
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Thomas J Vogl
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Christian Booz
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
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20
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Alizadeh LS, Vogl TJ, Waldeck SS, Overhoff D, D'Angelo T, Martin SS, Yel I, Gruenewald LD, Koch V, Fulisch F, Booz C. Dual-Energy CT in Cardiothoracic Imaging: Current Developments. Diagnostics (Basel) 2023; 13:2116. [PMID: 37371011 DOI: 10.3390/diagnostics13122116] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/31/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
This article describes the technical principles and clinical applications of dual-energy computed tomography (DECT) in the context of cardiothoracic imaging with a focus on current developments and techniques. Since the introduction of DECT, different vendors developed distinct hard and software approaches for generating multi-energy datasets and multiple DECT applications that were developed and clinically investigated for different fields of interest. Benefits for various clinical settings, such as oncology, trauma and emergency radiology, as well as musculoskeletal and cardiovascular imaging, were recently reported in the literature. State-of-the-art applications, such as virtual monoenergetic imaging (VMI), material decomposition, perfused blood volume imaging, virtual non-contrast imaging (VNC), plaque removal, and virtual non-calcium (VNCa) imaging, can significantly improve cardiothoracic CT image workflows and have a high potential for improvement of diagnostic accuracy and patient safety.
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Affiliation(s)
- Leona S Alizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Stephan S Waldeck
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Mainz, 55131 Mainz, Germany
| | - Daniel Overhoff
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Mannheim, 68167 Mannheim, Germany
| | - Tommaso D'Angelo
- Diagnostic and Interventional Radiology Unit, Department of Biomedical Sciences and Morphological and Functional Imaging, "G. Martino" University Hospital Messina, 98124 Messina, Italy
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Florian Fulisch
- Department of Diagnostic and Interventional Radiology, Bundeswehrzentralkrankenhaus Koblenz, 56072 Koblenz, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
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21
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Vogl TJ, Martin SS, Koch V, Scholtz JE, Booz C, Leistner DM, Fichtlscherer S, Biciusca T. Letter to the Editor: CT Guided Biopsy of a Right Ventricle Primary Cardiac Lymphoma-A Case Report. Cardiovasc Intervent Radiol 2023:10.1007/s00270-023-03482-2. [PMID: 37337061 PMCID: PMC10322777 DOI: 10.1007/s00270-023-03482-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 05/25/2023] [Indexed: 06/21/2023]
Affiliation(s)
- Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590, Frankfurt, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590, Frankfurt, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590, Frankfurt, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590, Frankfurt, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590, Frankfurt, Germany
| | - David M Leistner
- Department of Cardiology and Angiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Stephan Fichtlscherer
- Department of Cardiology and Angiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Teodora Biciusca
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590, Frankfurt, Germany.
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22
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Bernatz S, Böth I, Ackermann J, Burck I, Mahmoudi S, Lenga L, Martin SS, Scholtz JE, Koch V, Grünewald LD, Koch I, Stöver T, Wild PJ, Winkelmann R, Vogl TJ, Dos Santos DP. Radiomics for therapy-specific head and neck squamous cell carcinoma survival prognostication (part I). BMC Med Imaging 2023; 23:71. [PMID: 37268876 DOI: 10.1186/s12880-023-01034-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 05/25/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND Treatment plans for squamous cell carcinoma of the head and neck (SCCHN) are individually decided in tumor board meetings but some treatment decision-steps lack objective prognostic estimates. Our purpose was to explore the potential of radiomics for SCCHN therapy-specific survival prognostication and to increase the models' interpretability by ranking the features based on their predictive importance. METHODS We included 157 SCCHN patients (male, 119; female, 38; mean age, 64.39 ± 10.71 years) with baseline head and neck CT between 09/2014 and 08/2020 in this retrospective study. Patients were stratified according to their treatment. Using independent training and test datasets with cross-validation and 100 iterations, we identified, ranked and inter-correlated prognostic signatures using elastic net (EN) and random survival forest (RSF). We benchmarked the models against clinical parameters. Inter-reader variation was analyzed using intraclass-correlation coefficients (ICC). RESULTS EN and RSF achieved top prognostication performances of AUC = 0.795 (95% CI 0.767-0.822) and AUC = 0.811 (95% CI 0.782-0.839). RSF prognostication slightly outperformed the EN for the complete (ΔAUC 0.035, p = 0.002) and radiochemotherapy (ΔAUC 0.092, p < 0.001) cohort. RSF was superior to most clinical benchmarking (p ≤ 0.006). The inter-reader correlation was moderate or high for all features classes (ICC ≥ 0.77 (± 0.19)). Shape features had the highest prognostic importance, followed by texture features. CONCLUSIONS EN and RSF built on radiomics features may be used for survival prognostication. The prognostically leading features may vary between treatment subgroups. This warrants further validation to potentially aid clinical treatment decision making in the future.
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Affiliation(s)
- Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany.
- Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Frankfurt Am Main, 60590, Germany.
- Frankfurt Cancer Institute (FCI), Frankfurt Am Main, 60590, Germany.
| | - Ines Böth
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Jörg Ackermann
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, Frankfurt Am Main, 60325, Germany
| | - Iris Burck
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Lukas Lenga
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Leon D Grünewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Ina Koch
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, Frankfurt Am Main, 60325, Germany
| | - Timo Stöver
- Department of Otorhinolaryngology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Peter J Wild
- Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Frankfurt Am Main, 60590, Germany
- Frankfurt Institute for Advanced Studies (FIAS), Frankfurt Am Main, 60438, Germany
| | - Ria Winkelmann
- Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Frankfurt Am Main, 60590, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
| | - Daniel Pinto Dos Santos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt Am Main, Theodor-Stern-Kai 7, Frankfurt Am Main, 60590, Germany
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Str. 62, Cologne, 50937, Germany
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23
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Steyer A, Mas-Peiro S, Leistner DM, Puntmann VO, Nagel E, Dey D, Goeller M, Koch V, Booz C, Vogl TJ, Martin SS. Computed tomography-based pericoronary adipose tissue attenuation in patients undergoing TAVR: a novel method for risk assessment. Front Cardiovasc Med 2023; 10:1192093. [PMID: 37288259 PMCID: PMC10242002 DOI: 10.3389/fcvm.2023.1192093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/27/2023] [Indexed: 06/09/2023] Open
Abstract
Objectives This study aims to assess the attenuation of pericoronary adipose tissue (PCAT) surrounding the proximal right coronary artery (RCA) in patients with aortic stenosis (AS) and undergoing transcatheter aortic valve replacement (TAVR). RCA PCAT attenuation is a novel computed tomography (CT)-based marker for evaluating coronary inflammation. Coronary artery disease (CAD) in TAVR patients is common and usually evaluated prior to intervention. The most sensible screening method and consequential treatment approach are unclear and remain a matter of ceaseless discussion. Thus, interest remains for safe and low-demand predictive markers to identify patients at risk for adverse outcomes postaortic valve replacement. Methods This single-center retrospective study included patients receiving a standard planning CT scan prior to TAVR. Conventional CAD diagnostic tools, such as coronary artery calcium score and significant stenosis via invasive coronary angiography and coronary computed tomography angiography, were determined in addition to RCA PCAT attenuation using semiautomated software. These were assessed for their relationship with major adverse cardiovascular events (MACE) during a 24-month follow-up period. Results From a total of 62 patients (mean age: 82 ± 6.7 years), 15 (24.2%) patients experienced an event within the observation period, 10 of which were attributed to cardiovascular death. The mean RCA PCAT attenuation was higher in patients enduring MACE than that in those without an endpoint (-69.8 ± 7.5 vs. -74.6 ± 6.2, P = 0.02). Using a predefined cutoff of >-70.5 HU, 20 patients (32.3%) with high RCA PCAT attenuation were identified, nine (45%) of which met the endpoint within 2 years after TAVR. In a multivariate Cox regression model including conventional CAD diagnostic tools, RCA PCAT attenuation prevailed as the only marker with significant association with MACE (P = 0.02). After dichotomization of patients into high- and low-RCA PCAT attenuation groups, high attenuation was related to greater risk of MACE (hazard ration: 3.82, P = 0.011). Conclusion RCA PCAT attenuation appears to have predictive value also in a setting of concomitant AS in patients receiving TAVR. RCA PCAT attenuation was more reliable than conventional CAD diagnostic tools in identifying patients at risk for MACE .
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Affiliation(s)
- Alexandra Steyer
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
- Institute for Experimental and Translational Cardiovascular Imaging, Goethe University, University Hospital Frankfurt, Frankfurt, Germany
| | - Silvia Mas-Peiro
- Department of Cardiology, University Hospital Frankfurt, Frankfurt, Germany
- German Centre for Cardiovascular Research (DZHK), Berlin, Germany
- Cardiopulmonary Institute (CPI), Frankfurt am Main, Germany
| | - David M. Leistner
- Department of Cardiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Valentina O. Puntmann
- Institute for Experimental and Translational Cardiovascular Imaging, Goethe University, University Hospital Frankfurt, Frankfurt, Germany
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, Goethe University, University Hospital Frankfurt, Frankfurt, Germany
- German Centre for Cardiovascular Research (DZHK), Berlin, Germany
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Markus Goeller
- Department of Cardiology, Friedrich-Alexander-University Hospital Erlangen, Erlangen, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
- Institute for Experimental and Translational Cardiovascular Imaging, Goethe University, University Hospital Frankfurt, Frankfurt, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Simon S. Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
- Institute for Experimental and Translational Cardiovascular Imaging, Goethe University, University Hospital Frankfurt, Frankfurt, Germany
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Bucolo GM, D'Angelo T, Yel I, Koch V, Gruenewald LD, Othman AE, Alizadeh LS, Overhoff DP, Waldeck S, Martin SS, Mazziotti S, Ascenti G, Blandino A, Vogl TJ, Booz C. Virtual Monoenergetic Imaging of Lower Extremities Using Dual-Energy CT Angiography in Patients with Diabetes Mellitus. Diagnostics (Basel) 2023; 13:diagnostics13101790. [PMID: 37238274 DOI: 10.3390/diagnostics13101790] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/11/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (DM) is the most common metabolic disorder in the world and an important risk factor for peripheral arterial disease (PAD). CT angiography represents the method of choice for the diagnosis, pre-operative planning, and follow-up of vascular disease. Low-energy dual-energy CT (DECT) virtual mono-energetic imaging (VMI) has been shown to improve image contrast, iodine signal, and may also lead to a reduction in contrast medium dose. In recent years, VMI has been improved with the use of a new algorithm called VMI+, able to obtain the best image contrast with the least possible image noise in low-keV reconstructions. PURPOSE To evaluate the impact of VMI+ DECT reconstructions on quantitative and qualitative image quality in the evaluation of the lower extremity runoff. MATERIALS AND METHODS We evaluated DECT angiography of lower extremities in patients suffering from diabetes who had undergone clinically indicated DECT examinations between January 2018 and January 2023. Images were reconstructed with standard linear blending (F_0.5) and low VMI+ series were generated from 40 to 100 keV, in an interval of 15 keV. Vascular attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for objective analysis. Subjective analysis was performed using five-point scales to evaluate image quality, image noise, and diagnostic assessability of vessel contrast. RESULTS Our final study cohort consisted of 77 patients (41 males). Attenuation values, CNR, and SNR were higher in 40-keV VMI+ reconstructions compared to the remaining VMI+ and standard F_0.5 series (HU: 1180.41 ± 45.09; SNR: 29.91 ± 0.99; CNR: 28.60 ± 1.03 vs. HU 251.32 ± 7.13; SNR: 13.22 ± 0.44; CNR: 10.57 ± 0.39 in standard F_0.5 series) (p < 0.0001). Subjective image rating was significantly higher in 55-keV VMI+ images compared to the other VMI+ and standard F_0.5 series in terms of image quality (mean score: 4.77), image noise (mean score: 4.39), and assessability of vessel contrast (mean value: 4.57) (p < 0.001). CONCLUSIONS DECT 40-keV and 55-keV VMI+ showed the highest objective and subjective parameters of image quality, respectively. These specific energy levels for VMI+ reconstructions could be recommended in clinical practice, providing high-quality images with greater diagnostic suitability for the evaluation of lower extremity runoff, and potentially needing a lower amount of contrast medium, which is particularly advantageous for diabetic patients.
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Affiliation(s)
- Giuseppe Mauro Bucolo
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
| | - Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
| | - Ahmed E Othman
- Department of Neuroradiology, University Hospital Mainz, 55131 Mainz, Germany
| | - Leona Soraja Alizadeh
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, 56072 Koblenz, Germany
| | - Daniel P Overhoff
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, 56072 Koblenz, Germany
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Stephan Waldeck
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, 56072 Koblenz, Germany
- Institute of Neuroradiology, University Medical Centre, Johannes Gutenberg University Mainz, 55099 Mainz, Germany
| | - Simon S Martin
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
| | - Silvio Mazziotti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy
| | - Giorgio Ascenti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy
| | - Alfredo Blandino
- Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, 98122 Messina, Italy
| | - Thomas J Vogl
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany
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Koch V, Weitzer N, Dos Santos DP, Gruenewald LD, Mahmoudi S, Martin SS, Eichler K, Bernatz S, Gruber-Rouh T, Booz C, Hammerstingl RM, Biciusca T, Rosbach N, Gökduman A, D'Angelo T, Finkelmeier F, Yel I, Alizadeh LS, Sommer CM, Cengiz D, Vogl TJ, Albrecht MH. Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics. Cancer Imaging 2023; 23:38. [PMID: 37072856 PMCID: PMC10114410 DOI: 10.1186/s40644-023-00549-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/17/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND The advent of next-generation computed tomography (CT)- and magnetic resonance imaging (MRI) opened many new perspectives in the evaluation of tumor characteristics. An increasing body of evidence suggests the incorporation of quantitative imaging biomarkers into clinical decision-making to provide mineable tissue information. The present study sought to evaluate the diagnostic and predictive value of a multiparametric approach involving radiomics texture analysis, dual-energy CT-derived iodine concentration (DECT-IC), and diffusion-weighted MRI (DWI) in participants with histologically proven pancreatic cancer. METHODS In this study, a total of 143 participants (63 years ± 13, 48 females) who underwent third-generation dual-source DECT and DWI between November 2014 and October 2022 were included. Among these, 83 received a final diagnosis of pancreatic cancer, 20 had pancreatitis, and 40 had no evidence of pancreatic pathologies. Data comparisons were performed using chi-square statistic tests, one-way ANOVA, or two-tailed Student's t-test. For the assessment of the association of texture features with overall survival, receiver operating characteristics analysis and Cox regression tests were used. RESULTS Malignant pancreatic tissue differed significantly from normal or inflamed tissue regarding radiomics features (overall P < .001, respectively) and iodine uptake (overall P < .001, respectively). The performance for the distinction of malignant from normal or inflamed pancreatic tissue ranged between an AUC of ≥ 0.995 (95% CI, 0.955-1.0; P < .001) for radiomics features, ≥ 0.852 (95% CI, 0.767-0.914; P < .001) for DECT-IC, and ≥ 0.690 (95% CI, 0.587-0.780; P = .01) for DWI, respectively. During a follow-up of 14 ± 12 months (range, 10-44 months), the multiparametric approach showed a moderate prognostic power to predict all-cause mortality (c-index = 0.778 [95% CI, 0.697-0.864], P = .01). CONCLUSIONS Our reported multiparametric approach allowed for accurate discrimination of pancreatic cancer and revealed great potential to provide independent prognostic information on all-cause mortality.
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Affiliation(s)
- Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany.
| | - Nils Weitzer
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Daniel Pinto Dos Santos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Teodora Biciusca
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Nicolas Rosbach
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Aynur Gökduman
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Fabian Finkelmeier
- Department of Internal Medicine, University Hospital Frankfurt, Frankfurt Am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Leona S Alizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Duygu Cengiz
- Department of Radiology, University of Koc School of Medicine, Istanbul, Turkey
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
| | - Moritz H Albrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany
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Koch V, Martin SS, Gruber-Rouh T, Eichler K, Mahmoudi S, Leistner DM, Scholtz JE, Bernatz S, Puntmann VO, Nagel E, Booz C, D'Angelo T, Alizadeh LS, Yel I, Ziegengeist NS, Torgashov K, Geyer T, Hardt SE, Vogl TJ, Gruenewald LD, Giannitsis E. Cancer patients with venous thromboembolism: Diagnostic and prognostic value of elevated D-dimers. Eur J Clin Invest 2023; 53:e13914. [PMID: 36444723 DOI: 10.1111/eci.13914] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND D-dimer testing is known to have a high sensitivity at simultaneously low specificity, resulting in nonspecific elevations in a variety of conditions. METHODS This retrospective study sought to assess diagnostic and prognostic features of D-dimers in cancer patients referred to the emergency department for suspected pulmonary embolism (PE) and deep vein thrombosis (DVT). In total, 526 patients with a final adjudicated diagnosis of PE (n = 83) and DVT (n = 69) were enrolled, whereas 374 patients served as the comparative group, in which venous thromboembolism (VTE) has been excluded. RESULTS For the identification of VTE, D-dimers yielded the highest positive predictive value of 96% (95% confidence interval (CI), 85-99) at concentrations of 9.9 mg/L and a negative predictive value of 100% at .6 mg/L (95% CI, 97-100). At the established rule-out cut-off level of .5 mg/L, D-dimers were found to be very sensitive (100%) at a moderate specificity of nearly 65%. Using an optimised cut-off value of 4.9 mg/L increased the specificity to 95% for the detection of life-threatening VTE at the cost of moderate sensitivities (64%). During a median follow-up of 30 months, D-dimers positively correlated with the reoccurrence of VTE (p = .0299) and mortality in both cancer patients with VTE (p < .0001) and without VTE (p = .0008). CONCLUSIONS Although D-dimer testing in cancer patients is discouraged by current guidelines, very high concentrations above the 10-fold upper reference limit contain diagnostic and prognostic information and might be helpful in risk assessment, while low concentrations remain useful for ruling out VTE.
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Affiliation(s)
- Vitali Koch
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.,Department of Cardiology, Angiology, and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
| | - Simon S Martin
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Katrin Eichler
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - David M Leistner
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Jan-Erik Scholtz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon Bernatz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Eike Nagel
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Leona S Alizadeh
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | | | - Tobias Geyer
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Stefan E Hardt
- Department of Cardiology, Angiology, and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
| | - Thomas J Vogl
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Evangelos Giannitsis
- Department of Cardiology, Angiology, and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
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Martin SS, Puntmann V, Nagel EC, Vasa-Nicotera M, Kumar P. CLINICAL VALUE OF CT-BASED FRACTIONAL FLOW RESERVE IN PRE-PROCEDURAL TAVR PLANNING. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01874-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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28
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D’Angelo T, Arico FM, Broccio L, Ascenti G, Mazziotti S, Booz C, Martin SS, Yel I, Lanzafame LRM, Blandino A, Sofia C. Multi-Contrast Differentiation by Dual-Energy Spectral CT Angiography in a Patient with Pulmonary Barium Granulomas. Diagnostics (Basel) 2023; 13:diagnostics13050832. [PMID: 36899976 PMCID: PMC10000742 DOI: 10.3390/diagnostics13050832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 02/10/2023] [Accepted: 02/20/2023] [Indexed: 02/24/2023] Open
Abstract
Barium inhalation usually relates to accidental aspiration during radiological procedures with an oral contrast agent. When present, barium lung deposits are visible as high-density opacities on chest X-ray or CT scan due to high atomic number, and they may be indistinguishable from calcifications. Dual-layer spectral CT has shown good material differentiation capabilities, due to its increased high-Z element range and smaller spectral separation between low- and high-energy spectral data. We present the case of a 17-year-old female with a history of tracheoesophageal fistula, who underwent chest CT angiography on a dual-layer spectral platform. Despite the close Z numbers and K-edge energy levels of the two different contrast materials, spectral CT was able to identify barium lung deposits from a previous swallowing study and to clearly distinguish them from calcium and the surrounding iodine-containing structures.
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Affiliation(s)
- Tommaso D’Angelo
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands
- Correspondence: (T.D.); (F.M.A.)
| | - Francesco M. Arico
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
- Correspondence: (T.D.); (F.M.A.)
| | - Lydia Broccio
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Giorgio Ascenti
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Silvio Mazziotti
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Simon S. Martin
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Ludovica R. M. Lanzafame
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Alfredo Blandino
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
| | - Carmelo Sofia
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital “Policlinico G. Martino”, 98124 Messina, Italy
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Booz C, Yel I, Wichmann JL, Martin SS, Koch V, Gruenewald LD, Alizadeh LS, Vogl TJ, D’Angelo T. Diagnosis of Uric Acid-Based Urine Sedimentation in the Bladder Using Dual-Energy CT. Diagnostics (Basel) 2023; 13:diagnostics13030542. [PMID: 36766647 PMCID: PMC9913993 DOI: 10.3390/diagnostics13030542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/07/2023] [Accepted: 01/27/2023] [Indexed: 02/05/2023] Open
Abstract
Urine sedimentation in the bladder can occur in various circumstances and can lead to urinary obstruction/stasis with associated pain. It is usually diagnosed with an ultrasound; however, CT is also used to assess the amount and to further check for urinary stones. Depending on the composition, urine sedimentation and stones can be treated medically by alkalinisation of the urine with potassium sodium hydrogen citrate in the case of uric acid-based sedimentation/stones. Due to technical developments and improved material differentiation and characterisation in CT imaging, dual-energy CT allows for differentiation of uric acid from calcium, which can be used for sedimentation/stone composition analysis. Subsequently, treatment decisions can be made based on the findings in dual-energy CT.
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Affiliation(s)
- Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Correspondence:
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Julian L. Wichmann
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Simon S. Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Leon D. Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Leona S. Alizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
| | - Tommaso D’Angelo
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Division of Experimental Imaging, University Hospital Frankfurt, 60590 Frankfurt, Germany
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital Messina, 98158 Messina, Italy
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands
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Koch V, Merklein D, Zangos S, Eichler K, Gruenewald LD, Mahmoudi S, Booz C, Yel I, D'Angelo T, Martin SS, Bernatz S, Hammerstingl RM, Albrecht MH, Scholtz JE, Kaltenbach B, Vogl TJ, Langenbach M, Gruber-Rouh T. Free-breathing accelerated whole-body MRI using an automated workflow: Comparison with conventional breath-hold sequences. NMR Biomed 2023; 36:e4828. [PMID: 36082477 DOI: 10.1002/nbm.4828] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/15/2022] [Accepted: 09/06/2022] [Indexed: 06/15/2023]
Abstract
Whole-body magnetic resonance imaging (MRI) has become increasingly popular in oncology. However, the long acquisition time might hamper its widespread application. We sought to assess and compare free-breathing sequences with conventional breath-hold examinations in whole-body MRI using an automated workflow process. This prospective study consisted of 20 volunteers and six patients with a variety of pathologies who had undergone whole-body 1.5-T MRI that included T1-weighted radial and Dixon volumetric interpolated breath-hold examination sequences. Free-breathing sequences were operated by using an automated user interface. Image quality, diagnostic confidence, and image noise were evaluated by two experienced radiologists. Additionally, signal-to-noise ratio was measured. Diagnostic performance for the overall detection of pathologies was assessed using the area under the receiver operating characteristics curve (AUC). Study participants were asked to rate their examination experiences in a satisfaction survey. MR free-breathing scans were rated as at least equivalent to conventional MR scans in more than 92% of cases, showing high overall diagnostic accuracy (95% [95% CI 92-100]) and performance (AUC 0.971, 95% CI 0.942-0.988; p < 0.0001) for the assessment of pathologies at simultaneously reduced examination times (25 ± 2 vs. 32 ± 3 min; p < 0.0001). Interrater agreement was excellent for both free-breathing (ϰ = 0.96 [95% CI 0.88-1.00]) and conventional scans (ϰ = 0.93 [95% CI 0.84-1.00]). Qualitative and quantitative assessment for image quality, image noise, and diagnostic confidence did not differ between the two types of MR image acquisition (all p > 0.05). Scores for patient satisfaction were significantly better for free-breathing compared with breath-hold examinations (p = 0.0145), including significant correlations for the grade of noise (r = 0.79, p < 0.0001), tightness (r = 0.71, p < 0.0001), and physical fatigue (r = 0.52, p = 0.0065). In summary, free-breathing whole-body MRI in tandem with an automated user interface yielded similar diagnostic performance at equivalent image quality and shorter acquisition times compared to conventional breath-hold sequences.
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Affiliation(s)
- Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Domenica Merklein
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Stephan Zangos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Moritz H Albrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Benjamin Kaltenbach
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Marcel Langenbach
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
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31
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Mahmoudi S, Bernatz S, Ackermann J, Koch V, Dos Santos DP, Grünewald LD, Yel I, Martin SS, Scholtz JE, Stehle A, Walter D, Zeuzem S, Wild PJ, Vogl TJ, Kinzler MN. Computed Tomography Radiomics to Differentiate Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma. Clin Oncol (R Coll Radiol) 2023; 35:e312-e318. [PMID: 36804153 DOI: 10.1016/j.clon.2023.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/05/2022] [Accepted: 01/25/2023] [Indexed: 02/04/2023]
Abstract
AIMS Intrahepatic cholangiocarcinoma (iCCA) and hepatocellular carcinoma (HCC) differ in prognosis and treatment. We aimed to non-invasively differentiate iCCA and HCC by means of radiomics extracted from contrast-enhanced standard-of-care computed tomography (CT). MATERIALS AND METHODS In total, 94 patients (male, n = 68, mean age 63.3 ± 12.4 years) with histologically confirmed iCCA (n = 47) or HCC (n = 47) who underwent contrast-enhanced abdominal CT between August 2014 and November 2021 were retrospectively included. The enhancing tumour border was manually segmented in a clinically feasible way by defining three three-dimensional volumes of interest per tumour. Radiomics features were extracted. Intraclass correlation analysis and Pearson metrics were used to stratify robust and non-redundant features with further feature reduction by LASSO (least absolute shrinkage and selection operator). Independent training and testing datasets were used to build four different machine learning models. Performance metrics and feature importance values were computed to increase the models' interpretability. RESULTS The patient population was split into 65 patients for training (iCCA, n = 32) and 29 patients for testing (iCCA, n = 15). A final combined feature set of three radiomics features and the clinical features age and sex revealed a top test model performance of receiver operating characteristic (ROC) area under the curve (AUC) = 0.82 (95% confidence interval =0.66-0.98; train ROC AUC = 0.82) using a logistic regression classifier. The model was well calibrated, and the Youden J Index suggested an optimal cut-off of 0.501 to discriminate between iCCA and HCC with a sensitivity of 0.733 and a specificity of 0.857. CONCLUSIONS Radiomics-based imaging biomarkers can potentially help to non-invasively discriminate between iCCA and HCC.
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Affiliation(s)
- S Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
| | - S Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany; Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany; Frankfurt Cancer Institute (FCI), Goethe University, Frankfurt am Main, Germany; University Cancer Center Frankfurt (UCT), University Hospital, Goethe University, Frankfurt am Main, Germany
| | - J Ackermann
- Department of Molecular Bioinformatics, Institute of Computer Science, Goethe University, Frankfurt am Main, Germany
| | - V Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - D P Dos Santos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany
| | - L D Grünewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - I Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - S S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - J-E Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - A Stehle
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - D Walter
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - S Zeuzem
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - P J Wild
- Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany; Frankfurt Cancer Institute (FCI), Goethe University, Frankfurt am Main, Germany; Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, Germany
| | - T J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - M N Kinzler
- Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
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32
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Bernatz S, Elenberger O, Ackermann J, Lenga L, Martin SS, Scholtz JE, Koch V, Grünewald LD, Herrmann Y, Kinzler MN, Stehle A, Koch I, Zeuzem S, Bankov K, Doering C, Reis H, Flinner N, Schulze F, Wild PJ, Hammerstingl R, Eichler K, Gruber-Rouh T, Vogl TJ, dos Santos DP, Mahmoudi S. CT-radiomics and clinical risk scores for response and overall survival prognostication in TACE HCC patients. Sci Rep 2023; 13:533. [PMID: 36631548 PMCID: PMC9834236 DOI: 10.1038/s41598-023-27714-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 01/06/2023] [Indexed: 01/12/2023] Open
Abstract
We aimed to identify hepatocellular carcinoma (HCC) patients who will respond to repetitive transarterial chemoembolization (TACE) to improve the treatment algorithm. Retrospectively, 61 patients (mean age, 65.3 years ± 10.0 [SD]; 49 men) with 94 HCC mRECIST target-lesions who had three consecutive TACE between 01/2012 and 01/2020 were included. Robust and non-redundant radiomics features were extracted from the 24 h post-embolization CT. Five different clinical TACE-scores were assessed. Seven different feature selection methods and machine learning models were used. Radiomics, clinical and combined models were built to predict response to TACE on a lesion-wise and patient-wise level as well as its impact on overall-survival prognostication. 29 target-lesions of 19 patients were evaluated in the test set. Response rates were 37.9% (11/29) on the lesion-level and 42.1% (8/19) on the patient-level. Radiomics top lesion-wise response prognostications was AUC 0.55-0.67. Clinical scores revealed top AUCs of 0.65-0.69. The best working model combined the radiomic feature LargeDependenceHighGrayLevelEmphasis and the clinical score mHAP_II_score_group with AUC = 0.70, accuracy = 0.72. We transferred this model on a patient-level to achieve AUC = 0.62, CI = 0.41-0.83. The two radiomics-clinical features revealed overall-survival prognostication of C-index = 0.67. In conclusion, a random forest model using the radiomic feature LargeDependenceHighGrayLevelEmphasis and the clinical mHAP-II-score-group seems promising for TACE response prognostication.
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Affiliation(s)
- Simon Bernatz
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. .,Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590, Frankfurt am Main, Germany. .,Frankfurt Cancer Institute (FCI), 60590, Frankfurt am Main, Germany.
| | - Oleg Elenberger
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Jörg Ackermann
- grid.7839.50000 0004 1936 9721Department of Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt am Main, Robert-Mayer-Str. 11-15, 60325 Frankfurt am Main, Germany
| | - Lukas Lenga
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Simon S. Martin
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Jan-Erik Scholtz
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Vitali Koch
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Leon D. Grünewald
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Yannis Herrmann
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Maximilian N. Kinzler
- grid.411088.40000 0004 0578 8220Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Angelika Stehle
- grid.411088.40000 0004 0578 8220Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Ina Koch
- grid.7839.50000 0004 1936 9721Department of Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt am Main, Robert-Mayer-Str. 11-15, 60325 Frankfurt am Main, Germany
| | - Stefan Zeuzem
- grid.411088.40000 0004 0578 8220Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Katrin Bankov
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
| | - Claudia Doering
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
| | - Henning Reis
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
| | - Nadine Flinner
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
| | - Falko Schulze
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
| | - Peter J. Wild
- grid.7839.50000 0004 1936 9721Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany ,grid.511198.5Frankfurt Cancer Institute (FCI), 60590 Frankfurt am Main, Germany ,grid.417999.b0000 0000 9260 4223Frankfurt Institute for Advanced Studies (FIAS), 60438 Frankfurt am Main, Germany
| | - Renate Hammerstingl
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Katrin Eichler
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Thomas J. Vogl
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Daniel Pinto dos Santos
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany ,grid.6190.e0000 0000 8580 3777Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - Scherwin Mahmoudi
- grid.7839.50000 0004 1936 9721University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt am Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
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33
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Koch V, Conrades LM, Gruenewald LD, Eichler K, Martin SS, Booz C, D'Angelo T, Yel I, Bernatz S, Mahmoudi S, Albrecht MH, Scholtz J, Thalhammer A, Zangos S, Vogl TJ, Gruber‐Rouh T. Reduction of radiation dose using real-time visual feedback dosimetry during angiographic interventions. J Appl Clin Med Phys 2022; 24:e13860. [PMID: 36565180 PMCID: PMC9924107 DOI: 10.1002/acm2.13860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/31/2022] [Accepted: 11/15/2022] [Indexed: 12/25/2022] Open
Abstract
This prospective study sought to evaluate potential savings of radiation dose to medical staff using real-time dosimetry coupled with visual radiation dose feedback during angiographic interventions. For this purpose, we analyzed a total of 214 angiographic examinations that consisted of chemoembolizations and several other types of therapeutic interventions. The Unfors RaySafe i2 dosimeter was worn by the interventionalist at chest height over the lead protection. A total of 110 interventions were performed with real-time radiation dosimetry allowing the interventionalist to react upon higher x-ray exposure and 104 examinations served as the comparative group without real-time radiation monitoring. By using the real-time display during interventions, the overall mean operator radiation dose decreased from 3.67 (IQR, 0.95-23.01) to 2.36 μSv (IQR, 0.52-12.66) (-36%; p = 0.032) at simultaneously reduced operator exposure time by 4.5 min (p = 0.071). Dividing interventions into chemoembolizations and other types of therapeutic interventions, radiation dose decreased from 1.31 (IQR, 0.46-3.62) to 0.95 μSv (IQR, 0.53-3.11) and from 24.39 (IQR, 12.14-63.0) to 10.37 μSv (IQR, 0.85-36.84), respectively, using live-screen dosimetry (p ≤ 0.005). Radiation dose reductions were also observed for the participating assistants, indicating that they could also benefit from real-time visual feedback dosimetry during interventions (-30%; p = 0.039). Integration of real-time dosimetry into clinical processes might be useful in reducing occupational radiation exposure time during angiographic interventions. The real-time visual feedback raised the awareness of interventionalists and their assistants to the potential danger of prolonged radiation exposure leading to the adoption of radiation-sparing practices. Therefore, it might create a safer environment for the medical staff by keeping the applied radiation exposure as low as possible.
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Affiliation(s)
- Vitali Koch
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Lena Marie Conrades
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Leon D. Gruenewald
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Katrin Eichler
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Simon S. Martin
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Christian Booz
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional ImagingUniversity Hospital MessinaMessinaItaly
| | - Ibrahim Yel
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Simon Bernatz
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Moritz H. Albrecht
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Jan‐Erik Scholtz
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Axel Thalhammer
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Stephan Zangos
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
| | - Tatjana Gruber‐Rouh
- Department of Diagnostic and Interventional RadiologyUniversity Hospital FrankfurtFrankfurt am MainGermany
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34
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Koch V, Gruenewald LD, Gruber-Rouh T, Eichler K, Leistner DM, Mahmoudi S, Booz C, Bernatz S, D'Angelo T, Albrecht MH, Alizadeh LS, Nour-Eldin NEA, Scholtz JE, Yel I, Vogl TJ, März W, Hardt SE, Martin SS. Homoarginine in the cardiovascular system: Pathophysiology and recent developments. Fundam Clin Pharmacol 2022; 37:519-529. [PMID: 36509694 DOI: 10.1111/fcp.12858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/04/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022]
Abstract
Upcoming experimental and epidemiological data have identified the endogenous non-proteinogenic amino acid L-homoarginine (L-hArg) not only as a novel biomarker for cardiovascular disease but also as being directly involved in the pathogenesis of cardiac dysfunction. The association of low L-hArg levels with adverse cardiovascular events and mortality has proposed the idea of nutritional supplementation to rescue pathways inversely associated with cardiovascular health. Subsequent clinical and experimental studies contributed significantly to our knowledge of potential effects on the cardiorenal axis, acting either as a biomarker or a cardiovascular active agent. In this review article, we provide a comprehensive summary of the L-hArg metabolism, pathophysiological aspects, and current developments in the field of experimental and clinical evidence in favor of protective cardiovascular effects. Establishing a reliable biomarker to identify patients at high risk to die of cardiovascular disease represents one of the main goals for tackling this disease and providing individual therapeutic guidance.
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Affiliation(s)
- Vitali Koch
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.,Department of Cardiology, Angiology, and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
| | | | | | - Katrin Eichler
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - David M Leistner
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Christian Booz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon Bernatz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | | | - Leona S Alizadeh
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Jan-Erik Scholtz
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Winfried März
- Fifth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan E Hardt
- Department of Cardiology, Angiology, and Pulmonology, University Hospital Heidelberg, Heidelberg, Germany
| | - Simon S Martin
- Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
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35
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Mahmoudi S, Koch V, Santos DPD, Ackermann J, Grünewald LD, Weitkamp I, Yel I, Martin SS, Albrecht MH, Scholtz JE, Vogl TJ, Bernatz S. Imaging biomarkers to stratify lymph node metastases in abdominal CT - Is radiomics superior to dual-energy material decomposition? Eur J Radiol Open 2022; 10:100459. [PMID: 36561422 PMCID: PMC9763741 DOI: 10.1016/j.ejro.2022.100459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/16/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Purpose To assess the potential of radiomic features in comparison to dual-energy CT (DECT) material decomposition to objectively stratify abdominal lymph node metastases. Materials and methods In this retrospective study, we included 81 patients (m, 57; median age, 65 (interquartile range, 58.7-73.3) years) with either lymph node metastases (n = 36) or benign lymph nodes (n = 45) who underwent contrast-enhanced abdominal DECT between 06/2015-07/2019. All malignant lymph nodes were classified as unequivocal according to RECIST criteria and confirmed by histopathology, PET-CT or follow-up imaging. Three investigators segmented lymph nodes to extract DECT and radiomics features. Intra-class correlation analysis was applied to stratify a robust feature subset with further feature reduction by Pearson correlation analysis and LASSO. Independent training and testing datasets were applied on four different machine learning models. We calculated the performance metrics and permutation-based feature importance values to increase interpretability of the models. DeLong test was used to compare the top performing models. Results Distance matrices and t-SNE plots revealed clearer clusters using a combination of DECT and radiomic features compared to DECT features only. Feature reduction by LASSO excluded all DECT features of the combined feature cohort. The top performing radiomic features model (AUC = 1.000; F1 = 1.000; precision = 1.000; Random Forest) was significantly superior to the top performing DECT features model (AUC = 0.942; F1 = 0.762; precision = 0.800; Stochastic Gradient Boosting) (DeLong < 0.001). Conclusion Imaging biomarkers have the potential to stratify unequivocal lymph node metastases. Radiomics models were superior to DECT material decomposition and may serve as a support tool to facilitate stratification of abdominal lymph node metastases.
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Key Words
- ADB, AdaBoost
- AUC, Area under the curve
- Abdominal imaging
- CT, Computed tomography
- CTDI, Computed tomography dose index
- DECT, Dual-energy computed tomography
- DICOM, Digital Imaging and Communications in Medicine
- DLP, Dose-length product
- Dual-energy computed tomography
- GLCM, Gray Level Co-occurrence Matrix
- GLDM, Gray Level Dependence Matrix
- GLRLM, Gray Level Run Length Matrix
- GLSZM, Gray Level Size Zone Matrix
- HU, Hounsfield Units
- ICC, Intra-class correlation coefficient
- ID%, Normalized iodine uptake
- ID, Iodine density
- LR, Logistic Regression
- Lymph node metastasis
- Machine Learning
- NGTDM, Neighboring Gray Tone Difference Matrix
- Oncology
- PET, Positron emission tomography
- RF, Random Forest
- ROC, Receiver operating characteristics
- ROI, Region of interest
- Radiomics
- SGB, Stochastic Gradient Boosting
- VOI, Volume of interest
- mGy, Milligray
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Affiliation(s)
- Scherwin Mahmoudi
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany,Corresponding author.
| | - Vitali Koch
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Daniel Pinto Dos Santos
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany,University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Kerpener Str. 62, 50937 Cologne, Germany
| | - Jörg Ackermann
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, 60325 Frankfurt am Main, Germany
| | - Leon D. Grünewald
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Inga Weitkamp
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Ibrahim Yel
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Simon S. Martin
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Moritz H. Albrecht
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Jan-Erik Scholtz
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Thomas J. Vogl
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
| | - Simon Bernatz
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany,Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany
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D'Angelo T, Caudo D, Blandino A, Albrecht MH, Vogl TJ, Gruenewald LD, Gaeta M, Yel I, Koch V, Martin SS, Lenga L, Muscogiuri G, Sironi S, Mazziotti S, Booz C. Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications. J Clin Ultrasound 2022; 50:1414-1431. [PMID: 36069404 DOI: 10.1002/jcu.23321] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/18/2022] [Accepted: 08/20/2022] [Indexed: 06/15/2023]
Abstract
Artificial intelligence is rapidly expanding in all technological fields. The medical field, and especially diagnostic imaging, has been showing the highest developmental potential. Artificial intelligence aims at human intelligence simulation through the management of complex problems. This review describes the technical background of artificial intelligence, machine learning, and deep learning. The first section illustrates the general potential of artificial intelligence applications in the context of request management, data acquisition, image reconstruction, archiving, and communication systems. In the second section, the prospective of dedicated tools for segmentation, lesion detection, automatic diagnosis, and classification of musculoskeletal disorders is discussed.
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Affiliation(s)
- Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
- Department of Radiology and Nuclear Medicine, Rotterdam, Netherlands
| | - Danilo Caudo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
- Department or Radiology, IRRCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
| | - Alfredo Blandino
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Moritz H Albrecht
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Michele Gaeta
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Lukas Lenga
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Giuseppe Muscogiuri
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy
| | - Sandro Sironi
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Silvio Mazziotti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
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Koch V, Abt J, Gruenewald LD, Eichler K, D’Angelo T, Martin SS, Albrecht MH, Thalhammer A, Booz C, Yel I, Bernatz S, Mahmoudi S, Harth M, Derwich W, Vogl TJ, Gray D, Gruber-Rouh T, Jung G. Systematic evaluation of imaging techniques and baseline characteristics in patients with suspected vasculitis. Eur J Radiol Open 2022; 9:100445. [PMID: 36262692 PMCID: PMC9574707 DOI: 10.1016/j.ejro.2022.100445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022] Open
Abstract
Purpose To assess the diagnostic value of different imaging modalities in distinguishing systemic vasculitis from other internal and immunological diseases. Methods This retrospective study included 134 patients with suspected vasculitis who underwent ultrasound, magnetic resonance imaging (MRI), or 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) between 01/2010 and 01/2019, finally consisting of 70 individuals with vasculitis. The main study parameter was the confirmation of the diagnosis using one of the three different imaging modalities, with the adjudicated clinical and histopathological diagnosis as the gold standard. A secondary parameter was the morphological appearance of the vessel affected by vasculitis. Results Patients with systemic vasculitis had myriad clinical manifestations with joint pain as the most common symptom. We found significant correlations between different imaging findings suggestive of vasculitis and the final adjudicated clinical diagnosis. In this context, on MRI, vessel wall thickening, edema, and diameter differed significantly between vasculitis and non-vasculitis groups (p < 0.05). Ultrasound revealed different findings that may serve as red flags in identifying patients with vasculitis, such as vascular occlusion or halo sign (p = 0.02 vs. non-vasculitis group). Interestingly, comparing maximal standardized uptake values from PET/CT examinations with vessel wall thickening or vessel diameter did not result in significant differences (p > 0.05). Conclusions We observed significant correlations between different imaging findings suggestive of vasculitis on ultrasound or MRI and the final adjudicated diagnosis. While ultrasound and MRI were considered suitable imaging methods for detecting and discriminating typical vascular changes, 18F-FDG PET/CT requires careful timing and patient selection given its moderate diagnostic accuracy.
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Affiliation(s)
- Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany,Correspondence to: University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
| | - Julia Abt
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D. Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D’Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Simon S. Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Moritz H. Albrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Axel Thalhammer
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Marc Harth
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Wojciech Derwich
- Department of Vascular Surgery, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Daphne Gray
- Department of Vascular Surgery, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Georg Jung
- Department of Vascular Surgery, University Hospital Frankfurt, Frankfurt am Main, Germany
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Martin SS, Kolaneci J, Czwikla R, Booz C, Gruenewald LD, Albrecht MH, Thompson ZM, Lenga L, Yel I, Vogl TJ, Wichmann JL, Koch V. Dual-Energy CT for the Detection of Portal Vein Thrombosis: Improved Diagnostic Performance Using Virtual Monoenergetic Reconstructions. Diagnostics (Basel) 2022; 12:diagnostics12071682. [PMID: 35885585 PMCID: PMC9317258 DOI: 10.3390/diagnostics12071682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 06/26/2022] [Accepted: 07/07/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose: To investigate the diagnostic performance of noise-optimized virtual monoenergetic images (VMI+) in dual-energy CT (DECT) of portal vein thrombosis (PVT) compared to standard reconstructions. Method: This retrospective, single-center study included 107 patients (68 men; mean age, 60.1 ± 10.7 years) with malignant or cirrhotic liver disease and suspected PVT who had undergone contrast-enhanced portal-phase DECT of the abdomen. Linearly blended (M_0.6) and virtual monoenergetic images were calculated using both standard VMI and noise-optimized VMI+ algorithms in 20 keV increments from 40 to 100 keV. Quantitative measurements were performed in the portal vein for objective contrast-to-noise ratio (CNR) calculation. The image series showing the greatest CNR were further assessed for subjective image quality and diagnostic accuracy of PVT detection by two blinded radiologists. Results: PVT was present in 38 subjects. VMI+ reconstructions at 40 keV revealed the best objective image quality (CNR, 9.6 ± 4.3) compared to all other image reconstructions (p < 0.01). In the standard VMI series, CNR peaked at 60 keV (CNR, 4.7 ± 2.1). Qualitative image parameters showed the highest image quality rating scores for the 60 keV VMI+ series (median, 4) (p ≤ 0.03). The greatest diagnostic accuracy for the diagnosis of PVT was found for the 40 keV VMI+ series (sensitivity, 96%; specificity, 96%) compared to M_0.6 images (sensitivity, 87%; specificity, 92%), 60 keV VMI (sensitivity, 87%; specificity, 97%), and 60 keV VMI+ reconstructions (sensitivity, 92%; specificity, 97%) (p ≤ 0.01). Conclusions: Low-keV VMI+ reconstructions resulted in significantly improved diagnostic performance for the detection of PVT compared to other DECT reconstruction algorithms.
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Affiliation(s)
- Simon S. Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC 29425, USA;
- Correspondence: ; Tel.: +49-(0)69-6301-80414; Fax: +49-(0)69-6301-7288
| | - Jetlir Kolaneci
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Rouben Czwikla
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Leon D. Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Moritz H. Albrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Zachary M. Thompson
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC 29425, USA;
| | - Lukas Lenga
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Julian L. Wichmann
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany; (J.K.); (R.C.); (C.B.); (L.D.G.); (M.H.A.); (L.L.); (I.Y.); (T.J.V.); (J.L.W.); (V.K.)
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Koch V, Loos G, Gruenewald LD, Eichler K, Booz C, D'Angelo T, Yel I, Mahmoudi S, Martin SS, Harth M, Albrecht MH, Zangos S, Bernatz S, Thalhammer A, Scholtz JE, Vogl TJ, Gruber-Rouh T. Comprehensive comparison of three different workstations for accurate planning of endovascular stent implantation in patients with thoracic aortic aneurysms. Eur J Radiol Open 2022; 9:100427. [PMID: 35757233 PMCID: PMC9213697 DOI: 10.1016/j.ejro.2022.100427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/12/2022] [Accepted: 05/25/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose To assess the diagnostic precision of three different workstations for measuring thoracic aortic aneurysms (TAAs) in vivo and ex vivo using either pre-interventional computed tomography angiography scans (CTA) or a specifically designed phantom model. Methods This retrospective study included 23 patients with confirmed TAA on routinely performed CTAs. In addition to phantom tube diameters, one experienced blinded radiologist evaluated the dimensions of TAAs on three different workstations in two separate rounds. Precision was assessed by calculating measurement errors. In addition, correlation analysis was performed using Pearson correlation. Results Measurements acquired at the Siemens workstation deviated by 3.54% (range, 2.78–4.03%; p = 0.14) from the true size, those at General Electric by 4.05% (range, 1.46–7.09%; p < 0.0001), and at TeraRecon by 4.86% (range, 3.22–6.45%; p < 0.0001). Accordingly, Siemens provided the most precise workstation at simultaneously most fluctuating values (scattering of 4.46%). TeraRecon had the smallest fluctuation (scattering of 2.83%), but the largest deviation from the true size of the phantom. The workstation from General Electric showed a scattering of 2.94%. The highest overall correlation between the 1st and 2nd rounds was observed with measurements from Siemens (r = 0.898), followed by TeraRecon (r = 0.799), and General Electric (r = 0.703). Repetition of measurements reduced processing times by 40% when using General Electric, by 20% with Siemens, and by 18% with TeraRecon. Conclusions In conclusion, all three workstations facilitated precise assessment of dimensions in the majority of cases at simultaneously high reproducibility, ensuring accurate pre-interventional planning of thoracic endovascular aortic repair. Pre-interventional planning of TEVAR in patients with TAAs using CTA is feasible. All three workstations facilitated accurate measurements in vivo and ex vivo. Repetition of measurements resulted in faster processing due to learning effects.
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Affiliation(s)
- Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Gerald Loos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Ibrahim Yel
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Marc Harth
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Moritz H Albrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Stephan Zangos
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Axel Thalhammer
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Jan-Erik Scholtz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
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Koch V, Albrecht MH, Gruenewald LD, Yel I, Eichler K, Gruber-Rouh T, Hammerstingl RM, Burck I, Wichmann JL, Alizadeh LS, Vogl TJ, Lenga L, Wesarg S, Martin SS, Mader C, Dimitrova M, D'Angelo T, Booz C. Impact of Intravenously Injected Contrast Agent on Bone Mineral Density Measurement in Dual-Source Dual-Energy CT. Acad Radiol 2022; 29:880-887. [PMID: 34266738 DOI: 10.1016/j.acra.2021.06.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/07/2021] [Accepted: 06/11/2021] [Indexed: 12/01/2022]
Abstract
PURPOSE To assess the influence of intravenously injected contrast agent on bone mineral density (BMD) assessment in dual-source dual-energy CT. METHODS This retrospective study included 1,031 patients (mean age, 53 ± 7 years; 519 women) who had undergone third-generation dual-source dual-energy CT in context of tumor staging between January 2019 and December 2019. Dedicated postprocessing software based on material decomposition was used for phantomless volumetric BMD assessment of trabecular bone of the lumbar spine. Volumetric trabecular BMD values derived from unenhanced and contrast-enhanced portal venous phase were compared by calculating correlation and agreement analyses using Pearson product-moment correlation, linear regression, and Bland-Altman plots. RESULTS Mean BMD values were 115.53 ± 37.23 and 116.10 ± 37.78 mg/cm3 in unenhanced and contrast-enhanced dual-energy CT series, respectively. Values from contrast-enhanced portal venous phase differed not significantly from those of the unenhanced phase (p = 0.44) and showed high correlation (r = 0.971 [95% CI, 0.969-0.973]) with excellent agreement in Bland-Altman plots. Mean difference of the two phases was 0.61 mg/cm3 (95% limits of agreement, -17.14 and 18.36 mg/cm3). CONCLUSION Portal venous phase dual-source dual-energy CT allows for accurate opportunistic BMD assessment of trabecular bone of the lumbar spine compared to unenhanced imaging. Therefore, dual-source CT may provide greater flexibility regarding BMD assessment in clinical routine and reduce radiation exposure by avoiding additional osteodensitometry examinations, as contrast-enhanced CT scans in context of tumor staging are increasingly performed in dual-energy mode.
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Affiliation(s)
- Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Moritz H Albrecht
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Iris Burck
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Julian L Wichmann
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leona S Alizadeh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Lukas Lenga
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Stefan Wesarg
- Fraunhofer IGD, Cognitive Computing & Medical Imaging, Darmstadt, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christoph Mader
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Mirela Dimitrova
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
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Koch V, Gruenewald LD, Albrecht MH, Eichler K, Gruber-Rouh T, Yel I, Alizadeh LS, Mahmoudi S, Scholtz JE, Martin SS, Lenga L, Vogl TJ, Nour-Eldin NEA, Bienenfeld F, Hammerstingl RM, Graf C, Sommer CM, Hardt SE, Mazziotti S, Ascenti G, Versace GA, D'Angelo T, Booz C. Lung Opacity and Coronary Artery Calcium Score: A Combined Tool for Risk Stratification and Outcome Prediction in COVID-19 Patients. Acad Radiol 2022; 29:861-870. [PMID: 35346565 PMCID: PMC8882413 DOI: 10.1016/j.acra.2022.02.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 02/21/2022] [Accepted: 02/21/2022] [Indexed: 01/01/2023]
Abstract
PURPOSE To assess and correlate pulmonary involvement and outcome of SARS-CoV-2 pneumonia with the degree of coronary plaque burden based on the CAC-DRS classification (Coronary Artery Calcium Data and Reporting System). METHODS This retrospective study included 142 patients with confirmed SARS-CoV-2 pneumonia (58 ± 16 years; 57 women) who underwent non-contrast CT between January 2020 and August 2021 and were followed up for 129 ± 72 days. One experienced blinded radiologist analyzed CT series for the presence and extent of calcified plaque burden according to the visual and quantitative HU-based CAC-DRS Score. Pulmonary involvement was automatically evaluated with a dedicated software prototype by another two experienced radiologists and expressed as Opacity Score. RESULTS CAC-DRS Scores derived from visual and quantitative image evaluation correlated well with the Opacity Score (r=0.81, 95% CI 0.76-0.86, and r=0.83, 95% CI 0.77-0.89, respectively; p<0.0001) with higher correlation in severe than in mild stage SARS-CoV-2 pneumonia (p<0.0001). Combined, CAC-DRS and Opacity Scores revealed great potential to discriminate fatal outcomes from a mild course of disease (AUC 0.938, 95% CI 0.89-0.97), and the need for intensive care treatment (AUC 0.801, 95% CI 0.77-0.83). Visual and quantitative CAC-DRS Scores provided independent prognostic information on all-cause mortality (p=0.0016 and p<0.0001, respectively), both in univariate and multivariate analysis. CONCLUSIONS Coronary plaque burden is strongly correlated to pulmonary involvement, adverse outcome, and death due to respiratory failure in patients with SARS-CoV-2 pneumonia, offering great potential to identify individuals at high risk.
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Fischer AM, Decker JA, Schoepf J, Varga-Szemes A, Flohr T, Schmidt B, Gutjahr R, Sahbaee P, Giovagnoli DA, Emrich T, Martinez JD, Lari KB, Bayer RR, Martin SS. Optimization of contrast material administration for coronary CT angiography using a software-based test-bolus evaluation algorithm. Br J Radiol 2022; 95:20201456. [PMID: 35084228 PMCID: PMC10993975 DOI: 10.1259/bjr.20201456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 11/23/2021] [Accepted: 01/12/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES To evaluate the benefit of a prototype circulation time-based test bolus evaluation algorithm for the individualized optimal timing of contrast media (CM) delivery in patients undergoing coronary CT angiography (CCTA). METHODS Thirty-two patients (62 ± 16 years) underwent CCTA using a prototype bolus evaluation tool to determine the optimal time-delay for CM administration. Contrast attenuation, signal-to-noise ratio (SNR), objective, and subjective image quality were evaluated by two independent radiologists. Results were compared to a control cohort (matched for age, sex, body mass index, and tube voltage) of patients who underwent CCTA using the generic test bolus peak attenuation +4 s protocol as scan delay. RESULTS In the study group, the mean time delay to CCTA acquisition was significantly longer (26.0 ± 2.9 s) compared to the control group (23.1 ± 3.5 s; p < 0.01). In the study group, SNR improvement was seen in the right coronary artery (17.5 vs 13; p = 0.028), the left main (15.3 vs 12.3; p = 0.027), and the left anterior descending artery (18.5 vs 14.1; p = 0.048). Subjective image quality was rated higher in the study group (4.75 ± 0.7 vs 3.64 ± 0.5; p < 0.001). CONCLUSIONS The prototype test bolus evaluation algorithm provided a reliable patient-specific scan delay for CCTA that ensured homogenous vascular attenuation, improvement in objective and subjective image quality, and avoidance of beam hardening artifacts. ADVANCES IN KNOWLEDGE The prototype contrast bolus evaluation and optimization tool estimated circulation time-based time-delay improves the overall quality of CCTA.
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Affiliation(s)
- Andreas M Fischer
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
- University Department of Geriatric Medicine FELIX PLATTER and
University of Basel, Basel,
Switzerland
| | - Josua A. Decker
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
- Department of Diagnostic and Interventional Radiology,
University Hospital Augsburg,
Augsburg, Germany
| | - Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
| | - Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
| | | | | | | | | | - Dante A Giovagnoli
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
- Department of Diagnostic and Interventional Radiology,
University Medical Center, Mainz,
Germany
- German Center for Cardiovascular Research (DZHK), Partner Site
Rhine Main, Mainz,
Germany
| | - John D Martinez
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
| | - Kia B Lari
- University of South Carolina School of Medicine
Greenville, Greenville, South
Carolina, USA
| | - Robert R Bayer
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
- Division of Cardiology, Department of Medicine, Medical
University of South Carolina, Charleston, South
Carolina, USA
| | - Simon S Martin
- Division of Cardiovascular Imaging, Department of Radiology and
Radiological Science, Medical University of South
Carolina, Charleston, South Carolina,
USA
- Department of Diagnostic and Interventional Radiology,
University Hospital Frankfurt,
Frankfurt, Germany
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Martin SS, Kolaneci D, Wichmann JL, Lenga L, Leithner D, Vogl TJ, Jacobi V. Development and evaluation of a computer-based decision support system for diffuse lung diseases at high-resolution computed tomography. Acta Radiol 2022; 63:328-335. [PMID: 33657848 DOI: 10.1177/0284185121995799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND High-resolution computed tomography (HRCT) is essential in narrowing the possible differential diagnoses of diffuse and interstitial lung diseases. PURPOSE To investigate the value of a novel computer-based decision support system (CDSS) for facilitating diagnosis of diffuse lung diseases at HRCT. MATERIAL AND METHODS A CDSS was developed that includes about 100 different illustrations of the most common HRCT signs and patterns and describes the corresponding pathologies in detail. The logical set-up of the software facilitates a structured evaluation. By selecting one or more CT patterns, the program generates a ranked list of the most likely differential diagnoses. Three independent and blinded radiology residents initially evaluated 40 cases with different lung diseases alone; after at least 12 weeks, observers re-evaluated all cases using the CDSS. RESULTS In 40 patients, a total of 113 HRCT patterns were evaluated. The percentage of correctly classified patterns was higher with CDSS (96.8%) compared to assessment without CDSS (90.3%; P < 0.01). Moreover, the percentage of correct diagnosis (81.7% vs. 64.2%) and differential diagnoses (89.2% vs. 38.3%) were superior with CDSS compared to evaluation without CDSS (both P < 0.01). CONCLUSION Addition of a CDSS using a structured approach providing explanations of typical HRCT patterns and graphical illustrations significantly improved the performance of trainees in characterizing and correctly identifying diffuse lung diseases.
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Affiliation(s)
- Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Delina Kolaneci
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Julian L Wichmann
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Lukas Lenga
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Doris Leithner
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Volkmar Jacobi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
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Koch V, Booz C, Gruenewald LD, Albrecht MH, Gruber-RouhMD T, Eichler K, Yel I, Mahmoudi S, Scholtz JE, Martin SS, Graf C, Vogl TJ, Weber C, Hardt SE, Frey N, Giannitsis E. Diagnostic performance and predictive value of D-dimer testing in patients referred to the emergency department for suspected myocardial infarction. Clin Biochem 2022; 104:22-29. [PMID: 35181290 DOI: 10.1016/j.clinbiochem.2022.02.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 01/08/2022] [Accepted: 02/08/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE The study sought to assess the performance of D-dimer testing for the diagnosis of acute coronary syndrome (ACS) and prediction of outcomes in patients admitted for suspected myocardial infarction (MI). RESULTS A total of 3,557 patients with suspected ACS presenting to a single center with a broad range of symptoms including atypical chest pain were retrospectively recruited between 02/2012-01/2019. Of the study cohort, 435 patients had unstable angina (UA), 420 non-ST-segment elevation myocardial infarction (NSTEMI), 22 ST-segment elevation myocardial infarction (STEMI), and 2,680 non-coronary chest pain. Plasma D-dimer concentrations in patients with hs-cTnT >14 ng/L differed significantly from those with hs-cTnT <14 ng/L (1.5 ± 3.6 mg/L vs. 0.5 ± 0.8 mg/L; p<0.0001). Positive predictive value for a final diagnosis of ACS increased proportionally to rising D-dimer concentrations. The area under the curve (AUC) to discriminate STEMI from non-coronary chest pain (AUC 0.729, 95% confidence interval [CI] 0.71-0.75) was moderate and differed not significantly to UA (AUC 0.595, 95% CI 0.58-0.61; p=0.0653). During a median follow-up of 29 months, higher D-dimer was associated with a significantly increased risk of recurrent MI (quartile 4 vs. 1: hazard ratio [HR], 6.9 [95% CI 1.2-39.9]; p<0.0001) and higher all-cause mortality (HR, 17.4 [95% CI 4.3-69.9]; p<0.0001). D-dimer was an independent predictor of all-cause mortality (p<0.0001) and subsequent MI events (p=0.0333). CONCLUSIONS D-dimer testing revealed great potential to provide independent prognostic information on recurrent MI and all-cause mortality. However, D-dimers do not improve the diagnostic performance except if values exceed the 95th percentile.
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Affiliation(s)
- Vitali Koch
- Department of Cardiology, Angiology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.
| | | | | | | | | | | | - Ibrahim Yel
- Goethe University, Frankfurt Frankfurt am Main, Germany
| | | | | | | | | | - Thomas J Vogl
- Goethe University, Frankfurt Frankfurt am Main, Germany
| | - Christophe Weber
- Department of Cardiology, Angiology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan E Hardt
- Department of Cardiology, Angiology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
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Vogl TJ, Jaraysa Y, Martin SS, Gruber-Rouh T, Savage RH, Nour-Eldin NEA, Mehmedovic A. A prospective randomized trial comparing microwave and radiofrequency ablation for the treatment of liver metastases using a dual ablation system ─ The Mira study. Eur J Radiol Open 2022; 9:100399. [PMID: 35155721 PMCID: PMC8822176 DOI: 10.1016/j.ejro.2022.100399] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/19/2022] [Accepted: 01/21/2022] [Indexed: 12/22/2022] Open
Abstract
Purpose The aim of this study was to prospectively compare the therapy response and safety of microwave (MWA) and radiofrequency ablation (RFA) for the treatment of liver metastases using a dual ablation system. Methods Fifty patients with liver metastases (23 men, mean age: 62.8 ± 11.8 years) were randomly assigned to MWA or RFA for thermal ablation using a one generator dual ablation system. Magnetic resonance imaging (MRI) was acquired before treatment and 24 h post ablation. The morphologic responses to treatment regarding size, volume, necrotic areas, and diffusion characteristics were evaluated by MRI. Imaging follow-up was obtained for one year in three months intervals, whereas clinical follow-up was obtained for two years in all patients. Results Twenty-six patients received MWA and 24 patients received RFA (mean diameter: 1.6 cm, MWA: 1.7 cm, RFA: 1.5 cm). The mean volume 24 h after ablation was 37.0 cm3 (MWA: 50.5 cm3, RFA: 22.9 cm3, P < 0.01). The local recurrence rate was 0% (0/26) in the MWA-group and 8.3% (2/24) in the RFA-group (P = 0.09). The rate of newly developed malignant formations was 38.0% (19/50) for both groups (MWA: 38.4%, RFA: 37.5%, P = 0.07). The overall survival rate was 70.0% (35/50) after two years (MWA: 76.9%, RFA: 62.5%, P = 0.60). No major complications were reported. Conclusion In conclusion, MWA and RFA are both safe and effective methods for the treatment of liver metastases with MWA generating greater volumes of ablation. No significant differences were found for overall survival, rate of neoplasm, or major complications between both groups. A dual ablation system allows for MWA and RFA treatment using the same hardware. Both methods are safe and effective for the treatment of liver metastases. MWA generates greater volumes of ablation and larger ablative margins compared to RFA.
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Affiliation(s)
- Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
- Correspondence to: University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
| | - Yousef Jaraysa
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Simon S. Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Rock H. Savage
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Nour-Eldin A. Nour-Eldin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Amela Mehmedovic
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
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Martin SS, Muscogiuri E, Burchett PF, van Assen M, Tessarin G, Vogl TJ, Schoepf UJ, De Cecco CN. Tumorous tissue characterization using integrated 18F-FDG PET/dual-energy CT in lung cancer: Combining iodine enhancement and glycolytic activity. Eur J Radiol 2021; 150:110116. [PMID: 34996651 DOI: 10.1016/j.ejrad.2021.110116] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/14/2021] [Accepted: 12/19/2021] [Indexed: 11/03/2022]
Abstract
Positron emission tomography/computed tomography (PET/CT) with 18F-fluorodeoxyglucose (18F-FDG) has become the method of choice for tumor staging in lung cancer patients with improved diagnostic accuracy for the evaluation of lymph node involvement and distant metastasis. Due to its spectral capabilities, dual-energy CT (DECT) employs a material decomposition algorithm enabling precise quantification of iodine concentrations in distinct tissues. This technique enhances the characterization of tumor blood supply and has demonstrated promising results for the assessment of therapy response in patients with lung cancer. Several studies have demonstrated that DECT provides additional value to the PET-based evaluation of glycolytic activity, especially for the evaluation of therapy response and follow-up of patients with lung cancer. The combination of PET and DECT in a single scanner system enables the simultaneous assessment of glycolytic activity and iodine enhancement, offering further insight to the characterization of tumorous tissues. Recently a new approach of a novel integrated PET/DECT was investigated in a pilot study on patients with non-small cell lung cancer (NSCLC). The study showed a moderate correlation between PET-based standard uptake values (SUV) and DECT-based iodine densities in the evaluation of lung tumorous tissue but with limited assessment of lymph nodes. The following review on tumorous tissue characterization using PET and DECT imaging describes the strengths and limitations of this novel technique.
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Affiliation(s)
- Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Emanuele Muscogiuri
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA; Institute of Radiology, University of Rome "Sapienza", Rome, Italy
| | - Philip F Burchett
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Marly van Assen
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA
| | - Giovanni Tessarin
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA; Department of Medicine-DIMED, Institute of Radiology, University of Padova, Italy
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Carlo N De Cecco
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
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Martin SS, van Assen M, Burchett P, Monti CB, Schoepf UJ, Ravenel J, Rieter WJ, Vogl TJ, Costello P, Gordon L, De Cecco CN. Prospective Evaluation of the First Integrated Positron Emission Tomography/Dual-Energy Computed Tomography System in Patients With Lung Cancer. J Thorac Imaging 2021; 36:382-388. [PMID: 34029282 DOI: 10.1097/rti.0000000000000597] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE The aim of this pilot study was to prospectively evaluate the first integrated positron emission tomography (PET)/dual-energy computed tomography (DECT) system performance in patients with non-small cell lung cancer (NSCLC). MATERIALS AND METHODS In this single-center, prospective trial, consecutive patients with NSCLC referred for a PET study between May 2017 and June 2018 were enrolled. All patients received contrast-enhanced imaging on a clinical PET/DECT system. Data analysis included PET-based standard uptake values (SUVmax) and DECT-based iodine densities of tumor masses, lymph nodes, and distant metastases. Results were analyzed using correlation tests and receiver operating characteristics curves. RESULTS The study population was composed of 21 patients (median age 62 y, 14 male patients). A moderate positive correlation was found between iodine density values (2.2 mg/mL) and SUVmax (10.5) in tumor masses (ρ=0.53, P<0.01). Iodine density values (2.3 mg/mL) and SUVmax (5.4) of lymph node metastases showed a weak positive correlation (ρ=0.23, P=0.14). In addition, iodine quantification analysis provided no added value in differentiating between pathologic and nonpathologic lymph nodes with an area under the curve (AUC) of 0.55 using PET-based SUVmax as the reference standard. A weak positive correlation was observed between iodine density (2.2 mg/mL) and SUVmax in distant metastases (14.9, ρ=0.23, P=0.52). CONCLUSIONS The application of an integrated PET/DECT system in lung cancer might provide additional insights in the assessment of tumor masses. However, the added value of iodine density quantification for the evaluation of lymph nodes and distant metastases seems limited.
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Affiliation(s)
- Simon S Martin
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Marly van Assen
- Department of Radiology and Imaging Sciences, Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Emory University, Atlanta, GA
| | - Philip Burchett
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - Caterina B Monti
- Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milano, Italy
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - James Ravenel
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - William J Rieter
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Philip Costello
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - Leonie Gordon
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - Carlo N De Cecco
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
- Department of Radiology and Imaging Sciences, Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Emory University, Atlanta, GA
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Koch V, Hokamp NG, Albrecht MH, Gruenewald LD, Yel I, Borggrefe J, Wesarg S, Eichler K, Burck I, Gruber-Rouh T, Lenga L, Vogl TJ, Martin SS, Wichmann JL, Hammerstingl RM, Alizadeh LS, Mader C, Huizinga NA, D'Angelo T, Ascenti G, Mazziotti S, Booz C. Accuracy and precision of volumetric bone mineral density assessment using dual-source dual-energy versus quantitative CT: a phantom study. Eur Radiol Exp 2021; 5:43. [PMID: 34608576 PMCID: PMC8490583 DOI: 10.1186/s41747-021-00241-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/26/2021] [Indexed: 01/03/2023] Open
Abstract
Background Dual-source dual-energy computed tomography (DECT) offers the potential for opportunistic osteoporosis screening by enabling phantomless bone mineral density (BMD) quantification. This study sought to assess the accuracy and precision of volumetric BMD measurement using dual-source DECT in comparison to quantitative CT (QCT). Methods A validated spine phantom consisting of three lumbar vertebra equivalents with 50 (L1), 100 (L2), and 200 mg/cm3 (L3) calcium hydroxyapatite (HA) concentrations was scanned employing third-generation dual-source DECT and QCT. While BMD assessment based on QCT required an additional standardised bone density calibration phantom, the DECT technique operated by using a dedicated postprocessing software based on material decomposition without requiring calibration phantoms. Accuracy and precision of both modalities were compared by calculating measurement errors. In addition, correlation and agreement analyses were performed using Pearson correlation, linear regression, and Bland-Altman plots. Results DECT-derived BMD values differed significantly from those obtained by QCT (p < 0.001) and were found to be closer to true HA concentrations. Relative measurement errors were significantly smaller for DECT in comparison to QCT (L1, 0.94% versus 9.68%; L2, 0.28% versus 5.74%; L3, 0.24% versus 3.67%, respectively). DECT demonstrated better BMD measurement repeatability compared to QCT (coefficient of variance < 4.29% for DECT, < 6.74% for QCT). Both methods correlated well to each other (r = 0.9993; 95% confidence interval 0.9984–0.9997; p < 0.001) and revealed substantial agreement in Bland-Altman plots. Conclusions Phantomless dual-source DECT-based BMD assessment of lumbar vertebra equivalents using material decomposition showed higher diagnostic accuracy compared to QCT.
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Affiliation(s)
- Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Nils Große Hokamp
- Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany
| | - Moritz H Albrecht
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
| | - Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Jan Borggrefe
- Department of Radiology, Neuroradiology and Nuclear Medicine, Minden Hospital, University of Kiel, Kiel, Germany
| | - Stefan Wesarg
- Cognitive Computing and Medical Imaging, Fraunhofer IGD, Darmstadt, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Iris Burck
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Lukas Lenga
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.,Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Julian L Wichmann
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leona S Alizadeh
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Christoph Mader
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Nicole A Huizinga
- Interdisciplinary Center for Neuroscience, Goethe University of Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Giorgio Ascenti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Silvio Mazziotti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
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Mahmoudi S, Martin SS, Ackermann J, Zhdanovich Y, Koch I, Vogl TJ, Albrecht MH, Lenga L, Bernatz S. Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans. BMC Med Imaging 2021; 21:123. [PMID: 34384385 PMCID: PMC8359593 DOI: 10.1186/s12880-021-00654-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 07/30/2021] [Indexed: 11/10/2022] Open
Abstract
Background To assess the potential of radiomic features to quantify components of blood in intraaortic vessels to non-invasively predict moderate-to-severe anemia in non-contrast enhanced CT scans. Methods One hundred patients (median age, 69 years; range, 19–94 years) who received CT scans of the thoracolumbar spine and blood-testing for hemoglobin and hematocrit levels ± 24 h between 08/2018 and 11/2019 were retrospectively included. Intraaortic blood was segmented using a spherical volume of interest of 1 cm diameter with consecutive radiomic analysis applying PyRadiomics software. Feature selection was performed applying analysis of correlation and collinearity. The final feature set was obtained to differentiate moderate-to-severe anemia. Random forest machine learning was applied and predictive performance was assessed. A decision-tree was obtained to propose a cut-off value of CT Hounsfield units (HU). Results High correlation with hemoglobin and hematocrit levels was shown for first-order radiomic features (p < 0.001 to p = 0.032). The top 3 features showed high correlation to hemoglobin values (p) and minimal collinearity (r) to the top ranked feature Median (p < 0.001), Energy (p = 0.002, r = 0.387), Minimum (p = 0.032, r = 0.437). Median (p < 0.001) and Minimum (p = 0.003) differed in moderate-to-severe anemia compared to non-anemic state. Median yielded superiority to the combination of Median and Minimum (p(AUC) = 0.015, p(precision) = 0.017, p(accuracy) = 0.612) in the predictive performance employing random forest analysis. A Median HU value ≤ 36.5 indicated moderate-to-severe anemia (accuracy = 0.90, precision = 0.80). Conclusions First-order radiomic features correlate with hemoglobin levels and may be feasible for the prediction of moderate-to-severe anemia. High dimensional radiomic features did not aid augmenting the data in our exemplary use case of intraluminal blood component assessment. Trial registration Retrospectively registered. Supplementary Information The online version contains supplementary material available at 10.1186/s12880-021-00654-9.
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Affiliation(s)
- Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Jörg Ackermann
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, 60325, Frankfurt am Main, Germany
| | - Yauheniya Zhdanovich
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, 60325, Frankfurt am Main, Germany
| | - Ina Koch
- Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Robert-Mayer-Str. 11-15, 60325, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Moritz H Albrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Lukas Lenga
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
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Mader C, Bernatz S, Michalik S, Koch V, Martin SS, Mahmoudi S, Basten L, Grünewald LD, Bucher A, Albrecht MH, Vogl TJ, Booz C. Quantification of COVID-19 Opacities on Chest CT - Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients. Acad Radiol 2021; 28:1048-1057. [PMID: 33741210 PMCID: PMC7936551 DOI: 10.1016/j.acra.2021.03.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/14/2021] [Accepted: 03/01/2021] [Indexed: 12/31/2022]
Abstract
Objectives To evaluate the potential of a fully automatic artificial intelligence (AI)-driven computed tomography (CT) software prototype to quantify severity of COVID-19 infection on chest CT in relationship with clinical and laboratory data. Methods We retrospectively analyzed 50 patients with laboratory confirmed COVID-19 infection who had received chest CT between March and July 2020. Pulmonary opacifications were automatically evaluated by an AI-driven software and correlated with clinical and laboratory parameters using Spearman-Rho and linear regression analysis. We divided the patients into sub cohorts with or without necessity of intensive care unit (ICU) treatment. Sub cohort differences were evaluated employing Wilcoxon-Mann-Whitney-Test. Results We included 50 CT examinations (mean age, 57.24 years), of whom 24 (48%) had an ICU stay. Extent of COVID-19 like opacities on chest CT showed correlations (all p < 0.001 if not otherwise stated) with occurrence of ICU stay (R = 0.74), length of ICU stay (R = 0.81), lethal outcome (R = 0.56) and length of hospital stay (R = 0.33, p < 0.05). The opacities extent was correlated with laboratory parameters: neutrophil count (NEU) (R = 0.60), lactate dehydrogenase (LDH) (R = 0.60), troponin (TNTHS) (R = 0.55) and c-reactive protein (CRP) (R = 0.51). Differences (p < 0.001) between ICU group and non-ICU group concerned longer length of hospital stay (24.04 vs. 10.92 days), higher opacity score (12.50 vs. 4.96) and severity of laboratory data changes such as c-reactive protein (11.64 vs. 5.07 mg/dl, p < 0.01). Conclusions Automatically AI-driven quantification of opacities on chest CT correlates with laboratory and clinical data in patients with confirmed COVID-19 infection and may serve as non-invasive predictive marker for clinical course of COVID-19.
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Affiliation(s)
- Christoph Mader
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
| | - Simon Bernatz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany; Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Sabine Michalik
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Vitali Koch
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Lajos Basten
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leon D Grünewald
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Andreas Bucher
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Moritz H Albrecht
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Booz
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
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