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Thater G, Appelhaus S, Schoenberg SO, Weis M. [Congenital diaphragmatic hernia : Imaging-from diagnosis to aftercare]. Radiologie (Heidelb) 2024; 64:366-372. [PMID: 38587632 DOI: 10.1007/s00117-024-01289-x] [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] [Subscribe] [Scholar Register] [Accepted: 03/06/2024] [Indexed: 04/09/2024]
Abstract
STANDARD RADIOLOGICAL METHODS Fetal: Ultrasound and magnetic resonance imaging (MRI); postnatal: conventional X‑ray diagnostics, computed tomography (CT) and MRI. METHODICAL INNOVATIONS MRI-based lung ventilation and perfusion measurement. PRACTICAL RECOMMENDATIONS Lifelong follow-up care should be provided, in which radiology is part of the treatment team.
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Affiliation(s)
- G Thater
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
| | - S Appelhaus
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
| | - S O Schoenberg
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
| | - M Weis
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland.
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Haag F, Hokamp NG, Overhoff D, Dasegowda G, Kuru M, Nörenberg D, Schoenberg SO, Kalra MK, Froelich MF. Potential of photon counting computed tomography derived spectral reconstructions to reduce beam-hardening artifacts in chest CT. Eur J Radiol 2024; 175:111448. [PMID: 38574510 DOI: 10.1016/j.ejrad.2024.111448] [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: 08/04/2023] [Revised: 02/02/2024] [Accepted: 03/25/2024] [Indexed: 04/06/2024]
Abstract
PURPOSE Aim of the recent study is to point out a method to optimize quality of CT scans in oncological patients with port systems. This study investigates the potential of photon counting computed tomography (PCCT) for reduction of beam hardening artifacts caused by port-implants in chest imaging by means of spectral reconstructions. METHOD In this retrospective single-center study, 8 ROIs for 19 spectral reconstructions (polyenergetic imaging, monoenergetic reconstructions from 40 to 190 keV as well as iodine maps and virtual non contrast (VNC)) of 49 patients with pectoral port systems undergoing PCCT of the chest for staging of oncologic disease were measured. Mean values and standard deviation (SD) Hounsfield unit measurements of port-chamber associated hypo- and hyperdense artifacts, bilateral muscles and vessels has been carried out. Also, a structured assessment of artifacts and imaging findings was performed by two radiologists. RESULTS A significant association of keV with iodine contrast as well as artifact intensity was noted (all p < 0.001). In qualitative assessment, utilization of 120 keV monoenergetic reconstructions could reduce severe and pronounced artifacts completely, as compared to lower keV reconstructions (p < 0.001). Regarding imaging findings, no significant difference between monoenergetic reconstructions was noted (all p > 0.05). In cases with very high iodine concentrations in the subclavian vein, image distortions were noted at 40 keV images (p < 0.01). CONCLUSIONS The present study demonstrates that PCCT derived spectral reconstructions can be used in oncological imaging of the thorax to reduce port-derived beam-hardening artefacts. When evaluating image data sets within a staging, it can be particularly helpful to consider the 120 keV VMIs, in which the artefacts are comparatively low.
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Affiliation(s)
- Florian Haag
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Nils Große Hokamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; Bundeswehrzentralkrankenhaus, Koblenz, Germany
| | - Giridhar Dasegowda
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mustafa Kuru
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Mannudeep K Kalra
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Rink JS, Tollens F, Tschalzev A, Bartelt C, Heinzl A, Hoffmann J, Schoenberg SO, Marzina A, Sandikci V, Wiegand C, Hoyer C, Szabo K. Establishing an MSU service in a medium-sized German urban area-clinical and economic considerations. Front Neurol 2024; 15:1358145. [PMID: 38487327 PMCID: PMC10938346 DOI: 10.3389/fneur.2024.1358145] [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: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Background and purpose Mobile stroke units (MSU) have been demonstrated to improve prehospital stroke care in metropolitan and rural regions. Due to geographical, social and structural idiosyncrasies of the German city of Mannheim, concepts of established MSU services are not directly applicable to the Mannheim initiative. The aim of the present analysis was to identify major determinants that need to be considered when initially setting up a local MSU service. Methods Local stroke statistics from 2015 to 2021 were analyzed and circadian distribution of strokes and local incidence rates were calculated. MSU patient numbers and total program costs were estimated for varying operating modes, daytime coverage models, staffing configurations which included several resource sharing models with the hospital. Additional case-number simulations for expanded catchment areas were performed. Results Median time of symptom onset of ischemic stroke patients was 1:00 p.m. 54.3% of all stroke patients were admitted during a 10-h time window on weekdays. Assuming that MSU is able to reach 53% of stroke patients, the average expected number of ischemic stroke patients admitted to MSU would be 0.64 in a 10-h shift each day, which could potentially be increased by expanding the MSU catchment area. Total estimated MSU costs amounted to € 815,087 per annum. Teleneurological assessment reduced overall costs by 11.7%. Conclusion This analysis provides a framework of determinants and considerations to be addressed during the design process of a novel MSU program in order to balance stroke care improvements with the sustainable use of scarce resources.
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Affiliation(s)
- Johann S. Rink
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Fabian Tollens
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Andrej Tschalzev
- Institute for Enterprise Systems, University of Mannheim, Mannheim, Germany
| | - Christian Bartelt
- Institute for Enterprise Systems, University of Mannheim, Mannheim, Germany
| | | | - Jens Hoffmann
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Annika Marzina
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Vesile Sandikci
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Carla Wiegand
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Carolin Hoyer
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Kristina Szabo
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
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Kaatsch HL, Fulisch F, Dillinger D, Kubitscheck L, Becker BV, Piechotka J, Brockmann MA, Froelich MF, Schoenberg SO, Overhoff D, Waldeck S. Ultra-low-dose photon-counting CT of paranasal sinus: an in vivo comparison of radiation dose and image quality to cone-beam CT. Dentomaxillofac Radiol 2024; 53:103-108. [PMID: 38330501 DOI: 10.1093/dmfr/twad010] [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: 08/29/2023] [Revised: 10/29/2023] [Accepted: 11/16/2023] [Indexed: 02/10/2024] Open
Abstract
PURPOSE This study investigated the differences in subjective and objective image parameters as well as dose exposure of photon-counting CT (PCCT) compared to cone-beam CT (CBCT) in paranasal sinus imaging for the assessment of rhinosinusitis and sinonasal anatomy. METHODS This single-centre retrospective study included 100 patients, who underwent either clinically indicated PCCT or CBCT of the paranasal sinus. Two blinded experienced ENT radiologists graded image quality and delineation of specific anatomical structures on a 5-point Likert scale. In addition, contrast-to-noise ratio (CNR) and applied radiation doses were compared among both techniques. RESULTS Image quality and delineation of bone structures in paranasal sinus PCCT was subjectively rated superior by both readers compared to CBCT (P < .001). CNR was significantly higher for photon-counting CT (P < .001). Mean effective dose for PCCT examinations was significantly lower than for CBCT (0.038 mSv ± 0.009 vs. 0.14 mSv ± 0.011; P < .001). CONCLUSION In a performance comparison of PCCT and a modern CBCT scanner in paranasal sinus imaging, we demonstrated that first-use PCCT in clinical routine provides higher subjective image quality accompanied by higher CNR at close to a quarter of the dose exposure compared to CBCT.
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Affiliation(s)
- Hanns Leonhard Kaatsch
- Department of Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz 56072, Germany
| | - Florian Fulisch
- Department of Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz 56072, Germany
| | - Daniel Dillinger
- Department of Vascular Surgery and Endovascular Surgery, Bundeswehr Central Hospital, Koblenz 56072, Germany
| | - Laura Kubitscheck
- Department of Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz 56072, Germany
- Bundeswehr Institute of Radiobiology affiliated to Ulm University, Munich 80937, Germany
| | - Benjamin V Becker
- Department of Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz 56072, Germany
- Department of Neuroradiology, University Medical Center Mainz, Mainz 55131, Germany
| | - Joel Piechotka
- Department of Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz 56072, Germany
| | - Marc A Brockmann
- Department of Neuroradiology, University Medical Center Mainz, Mainz 55131, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim 68167, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim 68167, Germany
| | - Daniel Overhoff
- Department of Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz 56072, Germany
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim 68167, Germany
| | - Stephan Waldeck
- Department of Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz 56072, Germany
- Department of Neuroradiology, University Medical Center Mainz, Mainz 55131, Germany
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Mundt P, Hertel A, Tharmaseelan H, Nörenberg D, Papavassiliu T, Schoenberg SO, Froelich MF, Ayx I. Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature! Diagnostics (Basel) 2024; 14:277. [PMID: 38337793 PMCID: PMC10854976 DOI: 10.3390/diagnostics14030277] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 01/25/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
(1) Background: Epicardial adipose tissue influences cardiac biology in physiological and pathological terms. As it is suspected to be linked to coronary artery calcification, identifying improved methods of diagnostics for these patients is important. The use of radiomics and the new Photon-Counting computed tomography (PCCT) may offer a feasible step toward improved diagnostics in these patients. (2) Methods: In this retrospective single-centre study epicardial adipose tissue was segmented manually on axial unenhanced images. Patients were divided into three groups, depending on the severity of coronary artery calcification. Features were extracted using pyradiomics. Mean and standard deviation were calculated with the Pearson correlation coefficient for feature correlation. Random Forest classification was applied for feature selection and ANOVA was performed for group comparison. (3) Results: A total of 53 patients (32 male, 21 female, mean age 57, range from 21 to 80 years) were enrolled in this study and scanned on the novel PCCT. "Original_glrlm_LongRunEmphasis", "original_glrlm_RunVariance", "original_glszm_HighGrayLevelZoneEmphasis", and "original_glszm_SizeZoneNonUniformity" were found to show significant differences between patients with coronary artery calcification (Agatston score 1-99/≥100) and those without. (4) Conclusions: Four texture features of epicardial adipose tissue are associated with coronary artery calcification and may reflect inflammatory reactions of epicardial adipose tissue, offering a potential imaging biomarker for atherosclerosis detection.
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Affiliation(s)
- Peter Mundt
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany; (P.M.); (A.H.); (H.T.); (D.N.); (S.O.S.); (M.F.F.)
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany; (P.M.); (A.H.); (H.T.); (D.N.); (S.O.S.); (M.F.F.)
| | - Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany; (P.M.); (A.H.); (H.T.); (D.N.); (S.O.S.); (M.F.F.)
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany; (P.M.); (A.H.); (H.T.); (D.N.); (S.O.S.); (M.F.F.)
| | - Theano Papavassiliu
- First Department of Internal Medicine-Cardiology, University Medical Centre Mannheim, and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany; (P.M.); (A.H.); (H.T.); (D.N.); (S.O.S.); (M.F.F.)
| | - Matthias F. Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany; (P.M.); (A.H.); (H.T.); (D.N.); (S.O.S.); (M.F.F.)
| | - Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany; (P.M.); (A.H.); (H.T.); (D.N.); (S.O.S.); (M.F.F.)
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Chen Y, Froelich MF, Tharmaseelan H, Jiang H, Wang Y, Li H, Tao M, Gao Y, Wang J, Liu J, Schoenberg SO, Feng S, Weis M. Computed tomography imaging phenotypes of hepatoblastoma identified from radiomics signatures are associated with the efficacy of neoadjuvant chemotherapy. Pediatr Radiol 2024; 54:58-67. [PMID: 37982901 PMCID: PMC10776468 DOI: 10.1007/s00247-023-05793-5] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Though neoadjuvant chemotherapy has been widely used in the treatment of hepatoblastoma, there still lacks an effective way to predict its effect. OBJECTIVE To characterize hepatoblastoma based on radiomics image features and identify radiomics-based lesion phenotypes by unsupervised machine learning, intended to build a classifier to predict the response to neoadjuvant chemotherapy. MATERIALS AND METHODS In this retrospective study, we segmented the arterial phase images of 137 cases of pediatric hepatoblastoma and extracted the radiomics features using PyRadiomics. Then unsupervised k-means clustering was applied to cluster the tumors, whose result was verified by t-distributed stochastic neighbor embedding (t-SNE). The least absolute shrinkage and selection operator (LASSO) regression was used for feature selection, and the clusters were visually analyzed by radiologists. The correlations between the clusters, clinical and pathological parameters, and qualitative radiological features were analyzed. RESULTS Hepatoblastoma was clustered into three phenotypes (homogenous type, heterogenous type, and nodulated type) based on radiomics features. The clustering results had a high correlation with response to neoadjuvant chemotherapy (P=0.02). The epithelial ratio and cystic components in radiological features were also associated with the clusters (P=0.029 and 0.008, respectively). CONCLUSIONS This radiomics-based cluster system may have the potential to facilitate the precise treatment of hepatoblastoma. In addition, this study further demonstrated the feasibility of using unsupervised machine learning in a disease without a proper imaging classification system.
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Affiliation(s)
- Yingqian Chen
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, No. 58 Zhongshan Er Lu, Guangzhou, 510080, China
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Hong Jiang
- Department of Pediatric Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yuanqi Wang
- Department of Pediatric Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Haitao Li
- Department of Pediatric Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Mingyao Tao
- Department of Pediatric Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Ying Gao
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, No. 58 Zhongshan Er Lu, Guangzhou, 510080, China
| | - Jifei Wang
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, No. 58 Zhongshan Er Lu, Guangzhou, 510080, China
| | - Juncheng Liu
- Department of Pediatric Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Shiting Feng
- Department of Radiology, First Affiliated Hospital, Sun Yat-Sen University, No. 58 Zhongshan Er Lu, Guangzhou, 510080, China.
| | - Meike Weis
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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Wiedbrauck D, Karczewski M, Schoenberg SO, Fink C, Kayed H. Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading. J Comput Assist Tomogr 2023:00004728-990000000-00266. [PMID: 38110294 DOI: 10.1097/rct.0000000000001572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
OBJECTIVE The aim of the study is to assess the correlation between artificial intelligence (AI)-based low attenuation volume percentage (LAV%) with forced expiratory volume in the first second to forced vital capacity (FEV1/FVC) and visual emphysema grades in routine chest computed tomography (CT). Furthermore, optimal LAV% cutoff values for predicting a FEV1/FVC < 70% or moderate to more extensive visual emphysema grades were calculated. METHODS In a retrospective study of 298 consecutive patients who underwent routine chest CT and spirometry examinations, LAV% was quantified using an AI-based software with a threshold < -950 HU. The FEV1/FVC was derived from spirometry, with FEV1/FVC < 70% indicating airway obstruction. The mean time interval of CT from spirometry was 3.87 ± 4.78 days. Severity of emphysema was visually graded by an experienced chest radiologist using an established 5-grade ordinal scale (Fleischner Society classification system). Spearman correlation coefficient between LAV% and FEV1/FVC was calculated. Receiver operating characteristic determined the optimal LAV% cutoff values for predicting a FEV1/FVC < 70% or a visual emphysema grade of moderate or higher (Fleischner grade 3-5). RESULTS Significant correlation between LAV% and FEV1/FVC was found (ϱ = -0.477, P < 0.001). Increasing LAV% corresponded to higher visual emphysema grades. For patients with absent visual emphysema, mean LAV% was 2.98 ± 3.30, for patients with trace emphysema 3.22 ± 2.75, for patients with mild emphysema 3.90 ± 3.33, for patients with moderate emphysema 6.41 ± 3.46, for patients with confluent emphysema 9.02 ± 5.45, and for patients with destructive emphysema 16.90 ± 8.19. Optimal LAV% cutoff value for predicting a FEV1/FVC < 70 was 6.1 (area under the curve = 0.764, sensitivity = 0.773, specificity = 0.665), while for predicting a visual emphysema grade of moderate or higher, it was 4.7 (area under the curve = 0.802, sensitivity = 0.766, specificity = 0.742). Furthermore, correlation between visual emphysema grading and FEV1/FVC was found. In patients with FEV1/FVC < 70% a high proportion of subjects had emphysema grade 3 (moderate) or higher, whereas in patients with FEV1/FVC ≥ 70%, a larger proportion had emphysema grade 3 (moderate) or lower. The sensitivity for visual emphysema grading predicting a FEV1/FVC < 70% was 56.3% with an optimal cutoff point at a visual grade of 4 (confluent), demonstrating a lower sensitivity compared with LAV% (77.3%). CONCLUSIONS A significant correlation between AI-based LAV% and FEV1/FVC as well as visual CT emphysema grades can be found in routine chest CT suggesting that AI-based LAV% measurement might be integrated as an add-on functional parameter in the evaluation of chest CT in the future.
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Affiliation(s)
| | - Maciej Karczewski
- Department of Applied Mathematics, Wrocław University of Environmental and Life Sciences, 50-357 Wroclaw, Poland
| | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | - Hany Kayed
- Department of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Virlan SV, Froelich MF, Thater G, Rafat N, Elrod J, Boettcher M, Schoenberg SO, Weis M. Radiomics-Assisted Computed Tomography-Based Analysis to Evaluate Lung Morphology Characteristics after Congenital Diaphragmatic Hernia. J Clin Med 2023; 12:7700. [PMID: 38137769 PMCID: PMC10744187 DOI: 10.3390/jcm12247700] [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: 11/15/2023] [Revised: 12/09/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Purpose: Children with congenital diaphragmatic hernia suffer from long-term morbidity, including lung function impairment. Our study aims to analyze lung morphology characteristics via radiomic-assisted extraction of lung features in patients after congenital diaphragmatic hernia repair. Materials and Methods: 72 patients were retrospectively analyzed after approval by the local research ethics committee. All the image data were acquired using a third-generation dual-source CT (SOMATOM Force, Siemens Healthineers, Erlangen, Germany). Dedicated software was used for image analysis, segmentation, and processing. Results: Radiomics analysis of pediatric chest CTs of patients with status after CDH was possible. Between the ipsilateral (side of the defect) and contralateral lung, three shape features and two higher-order texture features were considered statistically significant. Contralateral lungs in patients with and without ECMO treatment showed significant differences in two shape features. Between the ipsilateral lungs in patients with and without the need for ECMO 1, a higher-order texture feature was depicted as statistically significant. Conclusions: By adding quantitative information to the visual assessment of the radiologist, radiomics-assisted feature analysis could become an additional tool in the future to assess the degree of lung hypoplasia in order to further improve the therapy and outcome of CDH patients.
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Affiliation(s)
- Silviu-Viorel Virlan
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany; (M.F.F.); (G.T.); (S.O.S.)
| | - Matthias F. Froelich
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany; (M.F.F.); (G.T.); (S.O.S.)
| | - Greta Thater
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany; (M.F.F.); (G.T.); (S.O.S.)
| | - Neysan Rafat
- Department of Neonatology, Center for Children, Adolescent and Women’s Medicine, Olgahospital, Clinic of Stuttgart, 70174 Stuttgart, Germany;
| | - Julia Elrod
- Department of Pediatric Surgery, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany; (J.E.); (M.B.)
| | - Michael Boettcher
- Department of Pediatric Surgery, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany; (J.E.); (M.B.)
| | - Stefan O. Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany; (M.F.F.); (G.T.); (S.O.S.)
| | - Meike Weis
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany; (M.F.F.); (G.T.); (S.O.S.)
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Birgin E, Hempel S, Reeg A, Oehme F, Schnizer A, Rink JS, Froelich MF, Hetjens S, Plodeck V, Nebelung H, Abdelhadi S, Rahbari M, Téoule P, Rasbach E, Reissfelder C, Weitz J, Schoenberg SO, Distler M, Rahbari NN. Development and Validation of a Model for Postpancreatectomy Hemorrhage Risk. JAMA Netw Open 2023; 6:e2346113. [PMID: 38055279 DOI: 10.1001/jamanetworkopen.2023.46113] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2023] Open
Abstract
Importance Postpancreatectomy hemorrhage (PPH) due to postoperative pancreatic fistula (POPF) is a life-threatening complication after pancreatoduodenectomy. However, there is no prediction tool for early identification of patients at high risk of late PPH. Objective To develop and validate a prediction model for PPH. Design, Setting, and Participants This retrospective prognostic study included consecutive patients with clinically relevant POPF who underwent pancreatoduodenectomy from January 1, 2009, to May 20, 2023, at the University Hospital Mannheim (derivation cohort), and from January 1, 2012, to May 31, 2022, at the University Hospital Dresden (validation cohort). Data analysis was performed from May 30 to July 29, 2023. Exposure Clinical and radiologic features of PPH. Main Outcomes and Measures Accuracy of a predictive risk score of PPH. A multivariate prediction model-the hemorrhage risk score (HRS)-was established in the derivation cohort (n = 139) and validated in the validation cohort (n = 154). Results A total of 293 patients (187 [64%] men; median age, 69 [IQR, 60-76] years) were included. The HRS comprised 4 variables with associations: sentinel bleeding (odds ratio [OR], 35.10; 95% CI, 5.58-221.00; P < .001), drain fluid culture positive for Candida species (OR, 14.40; 95% CI, 2.24-92.20; P < .001), and radiologic proof of rim enhancement of (OR, 12.00; 95% CI, 2.08-69.50; P = .006) or gas within (OR, 12.10; 95% CI, 2.22-65.50; P = .004) a peripancreatic fluid collection. Two risk categories were identified with patients at low risk (0-1 points) and high risk (≥2 points) to develop PPH. Patients with PPH were predicted accurately in the derivation cohort (C index, 0.97) and validation cohort (C index 0.83). The need for more invasive PPH management (74% vs 34%; P < .001) and severe complications (49% vs 23%; P < .001) were more frequent in high-risk patients compared with low-risk patients. Conclusions and Relevance In this retrospective prognostic study, a robust prediction model for PPH was developed and validated. This tool may facilitate early identification of patients at high risk for PPH.
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Affiliation(s)
- Emrullah Birgin
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of General and Visceral Surgery, Ulm University Hospital, Ulm, Germany
| | - Sebastian Hempel
- Department of Visceral, Thoracic and Vascular Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Alina Reeg
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Florian Oehme
- Department of Visceral, Thoracic and Vascular Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Annika Schnizer
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Johann S Rink
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany
| | - Svetlana Hetjens
- Department of Medical Statistics and Biomathematics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Verena Plodeck
- Department of Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Heiner Nebelung
- Department of Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Schaima Abdelhadi
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Mohammad Rahbari
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patrick Téoule
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Erik Rasbach
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christoph Reissfelder
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jürgen Weitz
- Department of Visceral, Thoracic and Vascular Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany
| | - Marius Distler
- Department of Visceral, Thoracic and Vascular Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Nuh N Rahbari
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of General and Visceral Surgery, Ulm University Hospital, Ulm, Germany
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Ilicak E, Thater G, Ozdemir S, Zapp J, Schad LR, Schoenberg SO, Zöllner FG, Weis M. Functional lung imaging of 2-year-old children after congenital diaphragmatic hernia repair using dynamic mode decomposition MRI. Eur Radiol 2023:10.1007/s00330-023-10335-6. [PMID: 37940710 DOI: 10.1007/s00330-023-10335-6] [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: 06/30/2023] [Revised: 09/07/2023] [Accepted: 09/14/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVES To investigate the feasibility of non-contrast-enhanced functional lung imaging in 2-year-old children after congenital diaphragmatic hernia (CDH) repair. METHODS Fifteen patients after CDH repair were examined using non-contrast-enhanced dynamic magnetic resonance imaging (MRI). For imaging two protocols were used during free-breathing: Protocol A with high temporal resolution and Protocol B with high spatial resolution. The dynamic images were then analysed through a recently developed post-processing method called dynamic mode decomposition (DMD) to obtain ventilation and perfusion maps. The ventilation ratios (VRatio) and perfusion ratios (QRatio) of ipsilateral to contralateral lung were compared to evaluate functional differences. Lastly, DMD MRI-based perfusion results were compared with perfusion parameters obtained using dynamic contrast-enhanced (DCE) MRI to assess agreement between methods. RESULTS Both imaging protocols successfully generated pulmonary ventilation (V) and perfusion (Q) maps in all patients. Overall, the VRatio and QRatio values were 0.84 ± 0.19 and 0.70 ± 0.24 for Protocol A, and 0.88 ± 0.18 and 0.72 ± 0.23 for Protocol B, indicating reduced ventilation ([Formula: see text]) and perfusion ([Formula: see text]) on the ipsilateral side. Moreover, there is a very strong positive correlation ([Formula: see text]) and close agreement between DMD MRI-based perfusion values and DCE MRI-based perfusion parameters. CONCLUSIONS DMD MRI can obtain pulmonary functional information in 2-year-old CDH patients. The results obtained with DMD MRI correlate with DCE MRI, without the need for ionising radiation or exposure to contrast agents. While further studies with larger cohorts are warranted, DMD MRI is a promising option for functional lung imaging in CDH patients. CLINICAL RELEVANCE STATEMENT We demonstrate that pulmonary ventilation and perfusion information can be obtained in 2-year-old patients after CDH repair, without the need for ionising radiation or contrast agents by utilising non-contrast-enhanced MRI acquisitions together with dynamic mode decomposition analysis. KEY POINTS • Non-contrast-enhanced functional MR imaging is a promising option for functional lung imaging in 2-year-old children after congenital diaphragmatic hernia. • DMD MRI can generate pulmonary ventilation and perfusion maps from free-breathing dynamic acquisitions without the need for ionising radiation or contrast agents. • Lung perfusion parameters obtained with DMD MRI correlate with perfusion parameters obtained using dynamic contrast-enhanced MRI.
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Affiliation(s)
- Efe Ilicak
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
| | - Greta Thater
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Safa Ozdemir
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jascha Zapp
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lothar R Schad
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frank G Zöllner
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
| | - Meike Weis
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
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11
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von Münchhausen N, Janssen S, Overhoff D, Rink JS, Geurts B, Gutzeit A, Prokop M, Schoenberg SO, Froelich MF. Influence of device-assisted suction against resistance (Mueller maneuver) on image quality in CTPA for suspected lung embolism. Eur Radiol 2023; 33:7840-7848. [PMID: 37338555 PMCID: PMC10598181 DOI: 10.1007/s00330-023-09834-3] [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: 01/03/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 06/21/2023]
Abstract
OBJECTIVES To investigate the effect of a device-assisted suction against resistance Mueller maneuver (MM) on transient interruption of contrast (TIC) in the aorta and pulmonary trunk (PT) on computed tomography pulmonary angiogram (CTPA). METHODS In this prospective single-center study, 150 patients with suspected pulmonary artery embolism were assigned randomly with two different breathing maneuvers (Mueller maneuver (MM) or standard end-inspiratory breath-hold command (SBC)) during routine CTPA. The MM was performed using a patented prototype (Contrast Booster™) which allows both the patient by means of visual feedback and the medical staff in the CT scanning room to monitor whether the patient is sucking sufficiently or not. Mean Hounsfield attenuation in descending aorta and PT was measured and compared. RESULTS Overall, patients with MM showed an attenuation of 338.24 HU in the pulmonary trunk, compared to 313.71 HU in SBC (p = 0.157). In the aorta, the values for MM were lower compared to SBC (134.42 HU vs. 177.83 HU, p = 0.001). The TP-aortic ratio was significantly higher in the MM group at 3.86 compared to the SBC group at 2.26, p = 0.001. TIC phenomenon was absent in the MM group, whereas it was present in 9 patients (12.3%) in the SBC group (p = 0.005). Overall contrast was better on all levels for MM (p < 0.001). The presence of breathing artifacts was higher in the MM group (48.1% vs. 30.1%, p = 0.038), without clinical consequence. CONCLUSIONS Performing the MM with the application of the prototype is an effective way of preventing the TIC phenomenon during i.v. contrast-enhanced CTPA scanning compared to the standard end-inspiratory breathing command. CLINICAL RELEVANCE Compared to standard end-inspiratory breathing command, the device-assisted Mueller maneuver (MM) improves contrast enhancement and prevents the transient interruption of contrast (TIC) phenomenon in CTPA. Therefore, it may offer optimized diagnostic workup and timely treatment for patients with pulmonary embolism. KEY POINTS • Transient interruption of contrast (TIC) may impair image quality in CTPA. • Mueller Maneuver using a device prototype could lower the rate of TIC. • Device application in clinical routine may increase diagnostic accuracy.
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Affiliation(s)
- Niklas von Münchhausen
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Sonja Janssen
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz, Germany
| | - Johann S Rink
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Bram Geurts
- Department of Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Andreas Gutzeit
- Department of Radiology, Paracelsus Medical University, Salzburg, Austria
- Department of Health Sciences and Medicine, Universität Luzern, Frohburgstrasse 3, 6002, Lucerne, Switzerland
| | - Mathias Prokop
- Department of Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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12
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Kahmann J, Tharmaseelan H, Riffel P, Overhoff D, Papavassiliu T, Schoenberg SO, Froelich MF, Ayx I. Pericoronary radiomics texture features associated with hypercholesterolemia on a photon-counting-CT. Front Cardiovasc Med 2023; 10:1223035. [PMID: 37965085 PMCID: PMC10642353 DOI: 10.3389/fcvm.2023.1223035] [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: 05/15/2023] [Accepted: 10/18/2023] [Indexed: 11/16/2023] Open
Abstract
Introduction Pericoronary adipose tissue (PCAT) stands in complex bidirectional interaction with the surrounding arteries and is known to be connected to many cardiovascular diseases involving vascular inflammation. PCAT texture may be influenced by other cardiovascular risk factors such as hypercholesterolemia. The recently established photon-counting CT could improve texture analysis and help detect those changes by offering higher spatial resolution and signal-to-noise ratio. Methods In this retrospective, single-center, IRB-approved study, PCAT of the left and right coronary artery was manually segmented and radiomic features were extracted using pyradiomics. The study population consisted of a test collective and a validation collective. The collectives were each divided into two groups defined by the presence or absence of hypercholesterolemia, taken from self-reported conditions and confirmed by medical records. Mean and standard deviation were calculated with Pearson correlation coefficient for correlation of features and visualized as boxplots and heatmaps using R statistics. Random forest feature selection was performed to identify differentiating features between the two groups. 66 patients were enrolled in this study (34 female, mean age 58 years). Results Two radiomics features allowing differentiation between PCAT texture of the groups were identified (p-values between 0.013 and 0.24) and validated. Patients with hypercholesterolemia presented with a greater concentration of high-density values as indicated through analysis of specific texture features as "gldm_HighGrayLevelEmphasis" (23.95 vs. 22.99) and "glrlm_HighGrayLevelRunEmphasis" (24.21 vs. 23.31). Discussion Texture analysis of PCAT allowed differentiation between patients with and without hypercholesterolemia offering a potential imaging biomarker for this specific cardiovascular risk factor.
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Affiliation(s)
- Jannik Kahmann
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
| | - Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
| | - Philipp Riffel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Koblenz, Germany
| | - Theano Papavassiliu
- First Department of Medicine-Cardiology, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthias F. Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
| | - Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
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Tharmaseelan H, Vellala AK, Hertel A, Tollens F, Rotkopf LT, Rink J, Woźnicki P, Ayx I, Bartling S, Nörenberg D, Schoenberg SO, Froelich MF. Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning. Cancer Imaging 2023; 23:95. [PMID: 37798797 PMCID: PMC10557291 DOI: 10.1186/s40644-023-00612-4] [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: 06/14/2022] [Accepted: 09/17/2023] [Indexed: 10/07/2023] Open
Abstract
OBJECTIVES The goal of this study is to demonstrate the performance of radiomics and CNN-based classifiers in determining the primary origin of gastrointestinal liver metastases for visually indistinguishable lesions. METHODS In this retrospective, IRB-approved study, 31 pancreatic cancer patients with 861 lesions (median age [IQR]: 65.39 [56.87, 75.08], 48.4% male) and 47 colorectal cancer patients with 435 lesions (median age [IQR]: 65.79 [56.99, 74.62], 63.8% male) were enrolled. A pretrained nnU-Net performed automated segmentation of 1296 liver lesions. Radiomics features for each lesion were extracted using pyradiomics. The performance of several radiomics-based machine-learning classifiers was investigated for the lesions and compared to an image-based deep-learning approach using a DenseNet-121. The performance was evaluated by AUC/ROC analysis. RESULTS The radiomics-based K-nearest neighbor classifier showed the best performance on an independent test set with AUC values of 0.87 and an accuracy of 0.67. In comparison, the image-based DenseNet-121-classifier reached an AUC of 0.80 and an accuracy of 0.83. CONCLUSIONS CT-based radiomics and deep learning can distinguish the etiology of liver metastases from gastrointestinal primary tumors. Compared to deep learning, radiomics based models showed a varying generalizability in distinguishing liver metastases from colorectal cancer and pancreatic adenocarcinoma.
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Affiliation(s)
- Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Abhinay K Vellala
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Fabian Tollens
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Lukas T Rotkopf
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
- German Cancer Research Center, E010 Radiology, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Johann Rink
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Piotr Woźnicki
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Sönke Bartling
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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Appelhaus S, Schoenberg SO, Weis M. [Septic arthritis and transient synovitis of the hip]. Radiologie (Heidelb) 2023; 63:729-735. [PMID: 37407747 DOI: 10.1007/s00117-023-01179-8] [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] [Subscribe] [Scholar Register] [Accepted: 06/16/2023] [Indexed: 07/07/2023]
Abstract
CLINICAL/METHODICAL ISSUE Differentiating between septic arthritis and transient synovitis can be challenging but is very important as a late diagnosis of septic arthritis can lead to sepsis and joint damage. For correct diagnosis and prediction of complications, the right combination of physical examination, laboratory and radiological studies is needed. STANDARD RADIOLOGICAL METHODS Hip ultrasound is easy to learn and has a high sensitivity for joint effusion. Faster diagnosis and therapy are possible due to increasing use of ultrasound. Magnetic resonance imaging (MRI) is primarily used to rule out co-infections (osteomyelitis, pyomyositis) and differential diagnoses. X‑ray is typically nonremarkable in septic arthritis. PRACTICAL RECOMMENDATIONS Routine use of ultrasound in nontraumatic pediatric hip pain. Generous use of MRI in case of elevated inflammatory markers or inconclusive clinical findings. Using only few sequences may be appropriate to avoid sedation, primarily fluid sensitive sequences (fat-saturated T2, TIRM, STIR), in case of positive findings, accompanied by T1-weighted images.
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Affiliation(s)
- S Appelhaus
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
| | - S O Schoenberg
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
| | - M Weis
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland.
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15
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Rau A, Straehle J, Stein T, Diallo T, Rau S, Faby S, Nikolaou K, Schoenberg SO, Overhoff D, Beck J, Urbach H, Klingler JH, Bamberg F, Weiss J. Photon-Counting Computed Tomography (PC-CT) of the spine: impact on diagnostic confidence and radiation dose. Eur Radiol 2023; 33:5578-5586. [PMID: 36890304 PMCID: PMC10326119 DOI: 10.1007/s00330-023-09511-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [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: 09/22/2022] [Revised: 01/23/2023] [Accepted: 02/10/2023] [Indexed: 03/10/2023]
Abstract
OBJECTIVES Computed tomography (CT) is employed to evaluate surgical outcome after spinal interventions. Here, we investigate the potential of multispectral photon-counting computed tomography (PC-CT) on image quality, diagnostic confidence, and radiation dose compared to an energy-integrating CT (EID-CT). METHODS In this prospective study, 32 patients underwent PC-CT of the spine. Data was reconstructed in two ways: (1) standard bone kernel with 65-keV (PC-CTstd) and (2) 130-keV monoenergetic images (PC-CT130 keV). Prior EID-CT was available for 17 patients; for the remaining 15, an age-, sex-, and body mass index-matched EID-CT cohort was identified. Image quality (5-point Likert scales on overall, sharpness, artifacts, noise, diagnostic confidence) of PC-CTstd and EID-CT was assessed by four radiologists independently. If metallic implants were present (n = 10), PC-CTstd and PC-CT130 keV images were again assessed by 5-point Likert scales by the same radiologists. Hounsfield units (HU) were measured within metallic artifact and compared between PC-CTstd and PC-CT130 keV. Finally, the radiation dose (CTDIvol) was evaluated. RESULTS Sharpness was rated significantly higher (p = 0.009) and noise significantly lower (p < 0.001) in PC-CTstd vs. EID-CT. In the subset of patients with metallic implants, reading scores for PC-CT130 keV revealed superior ratings vs. PC-CTstd for image quality, artifacts, noise, and diagnostic confidence (all p < 0.001) accompanied by a significant increase of HU values within the artifact (p < 0.001). Radiation dose was significantly lower for PC-CT vs. EID-CT (mean CTDIvol: 8.83 vs. 15.7 mGy; p < 0.001). CONCLUSIONS PC-CT of the spine with high-kiloelectronvolt reconstructions provides sharper images, higher diagnostic confidence, and lower radiation dose in patients with metallic implants. KEY POINTS • Compared to energy-integrating CT, photon-counting CT of the spine had significantly higher sharpness and lower image noise while radiation dose was reduced by 45%. • In patients with metallic implants, virtual monochromatic photon-counting images at 130 keV were superior to standard reconstruction at 65 keV in terms of image quality, artifacts, noise, and diagnostic confidence.
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Affiliation(s)
- Alexander Rau
- Department of Diagnostic and Interventional Radiology, University Hospital, Hugstetter Straße 55, 79106, Freiburg, Germany.
- Department of Neuroradiology, University Hospital, Breisacher Straße 64, 79106, Freiburg, Germany.
| | - Jakob Straehle
- Department of Neurosurgery, University Hospital, Breisacher Straße 64, 79106, Freiburg, Germany
| | - Thomas Stein
- Department of Diagnostic and Interventional Radiology, University Hospital, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Thierno Diallo
- Department of Diagnostic and Interventional Radiology, University Hospital, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Stephan Rau
- Department of Diagnostic and Interventional Radiology, University Hospital, Hugstetter Straße 55, 79106, Freiburg, Germany
- Department of Neuroradiology, University Hospital, Breisacher Straße 64, 79106, Freiburg, Germany
| | | | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Tuebingen, Hoppe-Seyler Straße 3, 72076, Tuebingen, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Jürgen Beck
- Department of Neurosurgery, University Hospital, Breisacher Straße 64, 79106, Freiburg, Germany
| | - Horst Urbach
- Department of Neuroradiology, University Hospital, Breisacher Straße 64, 79106, Freiburg, Germany
| | - Jan-Helge Klingler
- Department of Neurosurgery, University Hospital, Breisacher Straße 64, 79106, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University Hospital, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Jakob Weiss
- Department of Diagnostic and Interventional Radiology, University Hospital, Hugstetter Straße 55, 79106, Freiburg, Germany
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Mundt P, Tharmaseelan H, Hertel A, Rotkopf LT, Nörenberg D, Riffel P, Schoenberg SO, Froelich MF, Ayx I. Periaortic adipose radiomics texture features associated with increased coronary calcium score-first results on a photon-counting-CT. BMC Med Imaging 2023; 23:97. [PMID: 37495950 PMCID: PMC10373379 DOI: 10.1186/s12880-023-01058-7] [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: 08/20/2022] [Accepted: 07/19/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Cardiovascular diseases remain the world's primary cause of death. The identification and treatment of patients at risk of cardiovascular events thus are as important as ever. Adipose tissue is a classic risk factor for cardiovascular diseases, has been linked to systemic inflammation, and is suspected to contribute to vascular calcification. To further investigate this issue, the use of texture analysis of adipose tissue using radiomics features could prove a feasible option. METHODS In this retrospective single-center study, 55 patients (mean age 56, 34 male, 21 female) were scanned on a first-generation photon-counting CT. On axial unenhanced images, periaortic adipose tissue surrounding the thoracic descending aorta was segmented manually. For feature extraction, patients were divided into three groups, depending on coronary artery calcification (Agatston Score 0, Agatston Score 1-99, Agatston Score ≥ 100). 106 features were extracted using pyradiomics. R statistics was used for statistical analysis, calculating mean and standard deviation with Pearson correlation coefficient for feature correlation. Random Forest classification was carried out for feature selection and Boxplots and heatmaps were used for visualization. Additionally, monovariable logistic regression predicting an Agatston Score > 0 was performed, selected features were tested for multicollinearity and a 10-fold cross-validation investigated the stability of the leading feature. RESULTS Two higher-order radiomics features, namely "glcm_ClusterProminence" and "glcm_ClusterTendency" were found to differ between patients without coronary artery calcification and those with coronary artery calcification (Agatston Score ≥ 100) through Random Forest classification. As the leading differentiating feature "glcm_ClusterProminence" was identified. CONCLUSION Changes in periaortic adipose tissue texture seem to correlate with coronary artery calcium score, supporting a possible influence of inflammatory or fibrotic activity in perivascular adipose tissue. Radiomics features may potentially aid as corresponding biomarkers in the future.
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Affiliation(s)
- Peter Mundt
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Lukas T Rotkopf
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
- Department of Radiology, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Philipp Riffel
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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Gerhards C, Haselmann V, Schaible SF, Ast V, Kittel M, Thiel M, Hertel A, Schoenberg SO, Neumaier M, Froelich MF. Exploring the Synergistic Potential of Radiomics and Laboratory Biomarkers for Enhanced Identification of Vulnerable COVID-19 Patients. Microorganisms 2023; 11:1740. [PMID: 37512912 PMCID: PMC10384842 DOI: 10.3390/microorganisms11071740] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 06/23/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Severe courses and high hospitalization rates were ubiquitous during the first pandemic SARS-CoV-2 waves. Thus, we aimed to examine whether integrative diagnostics may aid in identifying vulnerable patients using crucial data and materials obtained from COVID-19 patients hospitalized between 2020 and 2021 (n = 52). Accordingly, we investigated the potential of laboratory biomarkers, specifically the dynamic cell decay marker cell-free DNA and radiomics features extracted from chest CT. METHODS Separate forward and backward feature selection was conducted for linear regression with the Intensive-Care-Unit (ICU) period as the initial target. Three-fold cross-validation was performed, and collinear parameters were reduced. The model was adapted to a logistic regression approach and verified in a validation naïve subset to avoid overfitting. RESULTS The adapted integrated model classifying patients into "ICU/no ICU demand" comprises six radiomics and seven laboratory biomarkers. The models' accuracy was 0.54 for radiomics, 0.47 for cfDNA, 0.74 for routine laboratory, and 0.87 for the combined model with an AUC of 0.91. CONCLUSION The combined model performed superior to the individual models. Thus, integrating radiomics and laboratory data shows synergistic potential to aid clinic decision-making in COVID-19 patients. Under the need for evaluation in larger cohorts, including patients with other SARS-CoV-2 variants, the identified parameters might contribute to the triage of COVID-19 patients.
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Affiliation(s)
- Catharina Gerhards
- Institute for Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Verena Haselmann
- Institute for Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Samuel F Schaible
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Volker Ast
- Institute for Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Maximilian Kittel
- Institute for Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Manfred Thiel
- Department of Anaesthesiology and Surgical Intensive Care Medicine, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Michael Neumaier
- Institute for Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, Theodor Kutzer Ufer 1-3, 68167 Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
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Hertel A, Tharmaseelan H, Rotkopf LT, Nörenberg D, Riffel P, Nikolaou K, Weiss J, Bamberg F, Schoenberg SO, Froelich MF, Ayx I. Phantom-based radiomics feature test-retest stability analysis on photon-counting detector CT. Eur Radiol 2023; 33:4905-4914. [PMID: 36809435 PMCID: PMC10289937 DOI: 10.1007/s00330-023-09460-z] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 01/02/2023] [Accepted: 01/22/2023] [Indexed: 02/23/2023]
Abstract
OBJECTIVES Radiomics image data analysis offers promising approaches in research but has not been implemented in clinical practice yet, partly due to the instability of many parameters. The aim of this study is to evaluate the stability of radiomics analysis on phantom scans with photon-counting detector CT (PCCT). METHODS Photon-counting CT scans of organic phantoms consisting of 4 apples, kiwis, limes, and onions each were performed at 10 mAs, 50 mAs, and 100 mAs with 120-kV tube current. The phantoms were segmented semi-automatically and original radiomics parameters were extracted. This was followed by statistical analysis including concordance correlation coefficients (CCC), intraclass correlation coefficients (ICC), as well as random forest (RF) analysis, and cluster analysis to determine the stable and important parameters. RESULTS Seventy-three of the 104 (70%) extracted features showed excellent stability with a CCC value > 0.9 when compared in a test and retest analysis, and 68 features (65.4%) were stable compared to the original in a rescan after repositioning. Between the test scans with different mAs values, 78 (75%) features were rated with excellent stability. Eight radiomics features were identified that had an ICC value greater than 0.75 in at least 3 of 4 groups when comparing the different phantoms in a phantom group. In addition, the RF analysis identified many features that are important for distinguishing the phantom groups. CONCLUSION Radiomics analysis using PCCT data provides high feature stability on organic phantoms, which may facilitate the implementation of radiomics analysis likewise in clinical routine. KEY POINTS • Radiomics analysis using photon-counting computed tomography provides high feature stability. • Photon-counting computed tomography may pave the way for implementation of radiomics analysis in clinical routine.
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Affiliation(s)
- Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Lukas T Rotkopf
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
- Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Philipp Riffel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University of Tübingen, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany
| | - Jakob Weiss
- Department of Diagnostic and Interventional Radiology, Medial Center-University of Freiburg, Hugstetter Str. 55, 79106, Freiburg Im Breisgau, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medial Center-University of Freiburg, Hugstetter Str. 55, 79106, Freiburg Im Breisgau, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
| | - Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
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Wiedbrauck D, Karczewski M, Schoenberg SO, Fink C, Kayed H. Influence of contrast agent on artificial intelligence-based CT low attenuation volume percentage measurement. Acta Radiol 2023; 64:2111-2117. [PMID: 37046385 DOI: 10.1177/02841851231165486] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
BACKGROUND Low attenuation volume percentage (LAV%) has been identified as a quantitative imaging biomarker for emphysema with good correlation with spirometry. The influence of intravenous contrast agent on LAV% and its correlation with spirometry is not well known. PURPOSE To evaluate the influence of intravenous contrast agent on artificial intelligence (AI)-based LAV% in correlation with spirometric Tiffeneau-Pinelli Index (TI). MATERIAL AND METHODS In a retrospective study, two groups of 47 patients (mean age 68.04 ± 12.64 and 67.89 ± 11.54 years) with either non-enhanced chest computed tomography (CT) or contrast-enhanced CT were compared. Using an AI-based software, LAV% was quantified using a threshold <-950 HU. TI was calculated from spirometry and pathologic airway obstruction was considered with a TI <70. The effect of contrast agent on LAV% and the relationship between TI and LAV% was analyzed. Correlation coefficients between TI and LAV% were compared for both groups. RESULTS Patients with non-enhanced CT had a mean LAV% of 9.07 ± 7.53. Of them, 22 patients had a TI <70% and 25 patients a TI ≥70%. Patients with contrast-enhanced CT had a mean LAV% of 6.54 ± 4.62. Of them, 20 patients had a TI <70% and 27 patients had a TI ≥70%. Contrast agent did not show a major effect on LAV% (P = 0.099) and the relationship between TI and LAV% (P = 0.88). In both groups, a significant correlation between TI and LAV% was found (ρ = -0.317 for non-enhanced CT; ρ = -0.514 for contrast-enhanced CT). Difference between correlation coefficients was insignificant. CONCLUSION Our findings suggest that contrast agent does not influence LAV% nor its correlation with TI.
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Affiliation(s)
- Damian Wiedbrauck
- Department of Radiology, AKH Celle, Celle, Germany
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Maciej Karczewski
- Department of Applied Mathematics, Wrocław University of Environmental and Life Sciences, Wroclaw, Poland
| | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Christian Fink
- Department of Radiology, AKH Celle, Celle, Germany
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Hany Kayed
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
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Lautenschlaeger P, Rathmann N, Rothfuss A, Kuhne M, Stork S, Noll M, Hetjens S, Schoenberg SO, Stallkamp J, Diehl S. Learning Needle Placement in Soft Tissue With Robot-assisted Navigation. In Vivo 2023; 37:702-708. [PMID: 36881085 PMCID: PMC10026658 DOI: 10.21873/invivo.13131] [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: 12/30/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND/AIM The aim of this phantom study was to evaluate the learning curves of novices practicing how to place a cone-beam computed tomography (CBCT)-guided needle using a novel robotic assistance system (RAS). MATERIALS AND METHODS Ten participants performed 18 punctures each with random trajectories in a phantom setting, supported by a RAS over 3 days. Precision, duration of the total intervention, duration of the needle placement, autonomy, and confidence of the participants were measured, displaying possible learning curves. RESULTS No statistically significant differences were observed in terms of needle tip deviation during the trial days (mean deviation day 1: 2.82 mm; day 3: 3.07 mm; p=0.7056). During the trial days, the duration of the total intervention (mean duration: day 1: 11:22 min; day 3: 07:39 min; p<0.0001) and the duration of the needle placement decreased (mean duration: day 1: 03:17 min; day 3: 02:11 min; p<0.0001). In addition, autonomy (mean percentage of achievable points: day 1: 94%; day 3: 99%; p<0.0001) and confidence of the participants (mean percentage of achievable points: day 1: 78%; day 3: 91%; p<0.0001) increased significantly during the trial days. CONCLUSION The participants were already able to carry out the intervention precisely using the RAS on the first day of the trial. Throughout the trial, the participants' performance improved in terms of duration and confidence.
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Affiliation(s)
- Philipp Lautenschlaeger
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Nils Rathmann
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany;
| | | | - Markus Kuhne
- Fraunhofer IPA, Fraunhofer Project Group for Automation in Medicine and Biotechnology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | - Matthias Noll
- Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany
| | - Svetlana Hetjens
- Department for Medical Statistics, Biomathematics and Information Processing, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Stefan O Schoenberg
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Jan Stallkamp
- Mannheim Institute for Intelligent Systems in Medicine MIISM, Department for Automation in Medicine and Biotechnology, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Steffen Diehl
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Baumann S, Overhoff D, Tesche C, Korosoglou G, Kelle S, Nassar M, Buss SJ, Andre F, Renker M, Schoepf UJ, Akin I, Waldeck S, Schoenberg SO, Lossnitzer D. [Morphological and functional diagnostics of coronary artery disease by computed tomography]. Herz 2023; 48:39-47. [PMID: 35244729 PMCID: PMC9892087 DOI: 10.1007/s00059-022-05098-7] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 12/05/2021] [Accepted: 01/17/2022] [Indexed: 02/05/2023]
Abstract
Computed tomography coronary angiography (cCTA) is a safe option for the noninvasive exclusion of significant coronary stenoses in patients with a low or moderate pretest probability for coronary artery disease (CAD). Furthermore, it also allows functional and morphological assessment of coronary stenoses. The European Society of Cardiology (ESC) guidelines on the diagnosis and management of chronic coronary syndrome published in 2019 have strengthened the importance of cCTA in this context and for this reason it has experienced a considerable upgrade. The determination of the Agatston score is a clinically established method for quantifying coronary calcification and influences the initiation of drug treatment. With technologies, such as the introduction of electrocardiography (ECG)-controlled dose modulation and iterative image reconstruction, cCTA can be performed with high image quality and low radiation exposure. Anatomic imaging of coronary stenoses alone is currently being augmented by innovative techniques, such as myocardial CT perfusion imaging or CT-fractional flow reserve (FFR) but the clinical value of these methods merits further investigation. The cCTA could therefore develop into a gatekeeper with respect to the indications for invasive coronary diagnostics and interventions.
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Affiliation(s)
- S Baumann
- First Department of Medicine - Cardiology, University Medical Centre Mannheim, Mannheim, Germany and DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Deutschland
| | - D Overhoff
- Department for Radiology and Neuroradiology, German Federal Armed Forces Central Hospital Koblenz, Koblenz, Deutschland
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Faculty of Medicine Mannheim, Heidelberg University, Heidelberg, Deutschland
| | - C Tesche
- Department of Internal Medicine, Cardiology, St. Johannes Hospital, Dortmund, Deutschland
| | - G Korosoglou
- Department of Cardiology & Vascular Medicine, GRN Hospital Weinheim, Weinheim, Deutschland
| | - S Kelle
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Berlin, Deutschland
| | - M Nassar
- Department of Internal Medicine/Cardiology, German Heart Institute Berlin, Berlin, Deutschland
| | - S J Buss
- The Radiology Center, Sinsheim, Eberbach, Erbach, Walldorf, Heidelberg, Heidelberg, Deutschland
| | - F Andre
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Heidelberg, Deutschland
| | - M Renker
- Department of Cardiology, Kerckhoff Heart Center, Bad Nauheim, Deutschland
| | - U J Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - I Akin
- First Department of Medicine - Cardiology, University Medical Centre Mannheim, Mannheim, Germany and DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Deutschland
| | - S Waldeck
- Department for Radiology and Neuroradiology, German Federal Armed Forces Central Hospital Koblenz, Koblenz, Deutschland
| | - S O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Faculty of Medicine Mannheim, Heidelberg University, Heidelberg, Deutschland
| | - D Lossnitzer
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Heidelberg, Deutschland.
- Klinik für Kardiologie, Angiologie und Pneumologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Deutschland.
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Tsiflikas I, Thater G, Ayx I, Weiss J, Schaefer J, Stein T, Schoenberg SO, Weis M. Low dose pediatric chest computed tomography on a photon counting detector system - initial clinical experience. Pediatr Radiol 2023; 53:1057-1062. [PMID: 36635378 DOI: 10.1007/s00247-022-05584-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [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: 07/12/2022] [Revised: 11/23/2022] [Accepted: 12/23/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND With the clinical release of a photon counting detector-based computed tomography (CT) system, the potential benefits of this new technology need to be evaluated clinically. Literature concerning this new generation of detector is sparse, especially in the field of pediatric radiology. Therefore, this study outlines our initial experience with ultra-low dose chest CT imaging on the new photon counting CT system. MATERIALS AND METHODS A pediatric phantom (1-year old, CIRS ATOM phantom, model 704 [CIRS-computerized imaging reference system, Norfolk, VA]) was scanned at different dose levels and different image quality levels to define a protocol for clinical examinations. Next, 20 consecutive pediatric non-contrast ultra-low dose chest CT examinations were evaluated for radiation dose and diagnostic image quality using a 4-point Likert-scale-1 = excellent, 4 = bad image quality-by two radiologists in a consensus reading. This retrospective analysis was approved by the local research ethics committee. RESULTS Chest CT examinations performed at ultra-low radiation dose (effective dose 0.19 ± 0.07 mSv; size-specific dose estimate 0.45 ± 0.14 mGy) in pediatric patients ages (2.6 ± 1.8 years) show good to excellent image quality for lung structures (1.4 ± 0.4) and moderate image quality for soft tissue structures (2.8 ± 0.2). CONCLUSION Pediatric ultra-low dose chest CT examinations are feasible with the new generation photon counting detector-based CT system. The benefits of this technology must be evaluated for pediatric patients from the outset.
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Affiliation(s)
- Ilias Tsiflikas
- Department of Diagnostic and Interventional Radiology, University Hospital, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Greta Thater
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Isabelle Ayx
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Jakob Weiss
- Department of Radiology, Freiburg University Hospital, Freiburg, Germany
| | - Juergen Schaefer
- Department of Diagnostic and Interventional Radiology, University Hospital, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Thomas Stein
- Department of Radiology, Freiburg University Hospital, Freiburg, Germany
| | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Meike Weis
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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23
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Rink JS, Froelich MF, Nour M, Saver JL, Szabo K, Hoyer C, Fassbender KC, Schoenberg SO, Tollens F. Lifetime economic potential of mobile stroke units in acute stroke care: A model-based analysis of the drivers of cost-effectiveness. J Telemed Telecare 2022:1357633X221140951. [PMID: 36484406 DOI: 10.1177/1357633x221140951] [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: 02/17/2024]
Abstract
BACKGROUND AND PURPOSE To simulate patient-level costs, analyze the economic potential of telemedicine-based mobile stroke units for acute prehospital stroke care, and identify major determinants of cost-effectiveness, based on two recent prospective trials from the United States and Germany. METHODS A Markov decision model was developed to simulate lifetime costs and outcomes of mobile stroke unit. The model compares diagnostic and therapeutic pathways of ischemic stroke, hemorrhagic stroke, and stroke mimic patients by conventional care or by mobile stroke units. The treatment outcomes were derived from the B_PROUD and the BEST-mobile stroke unit trials and further input parameters were derived from recent literature. Uncertainty was addressed by deterministic and probabilistic sensitivity analyses. A lifetime horizon based on the US healthcare system was adopted to evaluate different cost thresholds for mobile stroke unit and the resulting cost-effectiveness. Willingness-to-pay thresholds were set at 1x and 3x gross domestic product per capita, as recommended by the World Health Organization. RESULTS In the base case scenario, mobile stroke unit care yielded an incremental gain of 0.591 quality-adjusted life years per dispatch. Mobile stroke unit was highly cost-effective up to a maximum average cost of 43,067 US dollars per patient. Sensitivity analyses revealed that MSU cost-effectiveness is mainly affected by reduction of long-term disability costs. Also, among other parameters, the rate of stroke mimics patients diagnosed by MSU plays an important role. CONCLUSION This study demonstrated that mobile stroke unit can possibly be operated on an excellent level of cost-effectiveness in urban areas in North America with number of stroke mimic patients and long-term stroke survivor costs as major determinants of lifetime cost-effectiveness.
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Affiliation(s)
- Johann S Rink
- Department of Radiology and Nuclear Medicine, 36642University Medical Centre Mannheim, University of Heidelberg, Mannheim, Mannheim, BW, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, 36642University Medical Centre Mannheim, University of Heidelberg, Mannheim, Mannheim, BW, Germany
| | - May Nour
- Departments of Neurology and Radiology, 21767Ronald Reagan UCLA Medical Center, Los Angeles, CA, USA
| | - Jeffrey L Saver
- Department of Neurology, UCLA Stroke Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kristina Szabo
- Department of Neurology, 36642University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany, Mannheim, BW, Germany
| | - Carolin Hoyer
- Department of Neurology, 36642University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany, Mannheim, BW, Germany
| | - Klaus C Fassbender
- Department of Neurology, Saarland University Medical Center, Homburg, Saarland, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, 36642University Medical Centre Mannheim, University of Heidelberg, Mannheim, Mannheim, BW, Germany
| | - Fabian Tollens
- Department of Radiology and Nuclear Medicine, 36642University Medical Centre Mannheim, University of Heidelberg, Mannheim, Mannheim, BW, Germany
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Abstract
BACKGROUND Integrated diagnostics is increasingly gaining scientific traction as it promises to address several challenges currently facing diagnostic medicine. These challenges range from the need for improved diagnostic accuracy to optimized timing of diagnostic procedures, to the variety of diagnostic markers and thus the complexity of their interpretation, and finally to economic pressure. METHODICAL INNOVATIONS While many of these challenges may be difficult to solve with a monomodal approach, the integration of laboratory markers and imaging procedures promises to allow both disciplines to achieve their actual clinical potential. Combining complementary diagnostic approaches can help to improve the interpretation of measurements, provide a better cost-effectiveness particularly when cutting-edge techniques are used for specific indications, and facilitate optimized timing and rational choice of appropriate diagnostic approaches for disease surveillance. Furthermore, close interdisciplinary assessment of diagnostic results will increase diagnostic accuracy and will enable selection of specific patient cohorts at increased risk for certain diseases who are suitable for further testing. CONCLUSION The potential of an integrated diagnostic approach represents a strategic goal for diagnostic disciplines as it achieves better visibility and greater clinical impact. In addition to close collaboration among relevant diagnostic experts, an appropriate structure for integrated data evaluation needs to be established to provide actionable health guidance so that integrated diagnostics can be implemented in standard care.
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Affiliation(s)
- Verena Haselmann
- Institute of Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, University Hospital Mannheim, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Michael Neumaier
- Institute of Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, University Hospital Mannheim, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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Soschynski M, Hagen F, Baumann S, Hagar MT, Weiss J, Krauss T, Schlett CL, von zur Mühlen C, Bamberg F, Nikolaou K, Greulich S, Froelich MF, Riffel P, Overhoff D, Papavassiliu T, Schoenberg SO, Faby S, Ulzheimer S, Ayx I, Krumm P. High Temporal Resolution Dual-Source Photon-Counting CT for Coronary Artery Disease: Initial Multicenter Clinical Experience. J Clin Med 2022; 11:jcm11206003. [PMID: 36294324 PMCID: PMC9604695 DOI: 10.3390/jcm11206003] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [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: 09/04/2022] [Revised: 09/29/2022] [Accepted: 10/06/2022] [Indexed: 11/16/2022] Open
Abstract
The aim of this paper is to evaluate the diagnostic image quality of spectral dual-source photon-counting detector coronary computed tomography angiography (PCD-CCTA) for coronary artery disease in a multicenter study. The image quality (IQ), assessability, contrast-to-noise ratio (CNR), Agatston score, and radiation exposure were measured. Stenoses were quantified and compared with invasive coronary angiography, if available. A total of 92 subjects (65% male, age 58 ± 14 years) were analyzed. The prevalence of significant coronary artery disease (CAD) (stenosis ≥ 50%) was 17% of all patients, the range of the Agatston score was 0−2965 (interquartile range (IQR) 0−135). The IQ was very good (one, IQR one−two), the CNR was very high (20 ± 10), and 5% of the segments were rated non-diagnostic. The IQ and assessability were higher in proximal coronary segments (p < 0.001). Agatston scores up to 600 did not significantly affect the assessability of the coronary segments (p = 0.3). Heart rate influenced assessability only at a high-pitch mode (p = 0.009). For the invasive coronary angiography (ICA) subgroup (n = nine), the diagnostic performance for CAD per segment was high (sensitivity 92%, specificity 96%), although the limited number of patients who underwent both diagnostic modalities limits the generalization of this finding at this stage. PCD-CCTA provides good image quality for low and moderate levels of coronary calcifications.
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Affiliation(s)
- Martin Soschynski
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Florian Hagen
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany
| | - Stefan Baumann
- First Department of Medicine-Cardiology, University Medical Centre Mannheim, and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Muhammad Taha Hagar
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Jakob Weiss
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Tobias Krauss
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Christopher L. Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Constantin von zur Mühlen
- Department of Cardiology and Angiology I, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany
| | - Simon Greulich
- Department of Cardiology and Angiology, University of Tuebingen, Otfried-Müller-Str. 10, 72076 Tuebingen, Germany
| | - Matthias F. Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Philipp Riffel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Theano Papavassiliu
- First Department of Medicine-Cardiology, University Medical Centre Mannheim, and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Sebastian Faby
- Computed Tomography, Siemens Healthcare GmbH, 91301 Forchheim, Germany
| | - Stefan Ulzheimer
- Computed Tomography, Siemens Healthcare GmbH, 91301 Forchheim, Germany
| | - Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
- Correspondence: ; Tel.: +49-62-1383-2067
| | - Patrick Krumm
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany
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Ayx I, Tharmaseelan H, Hertel A, Nörenberg D, Overhoff D, Rotkopf LT, Riffel P, Schoenberg SO, Froelich MF. Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score—First Results of a Photon-Counting CT. Diagnostics (Basel) 2022; 12:diagnostics12071663. [PMID: 35885567 PMCID: PMC9320412 DOI: 10.3390/diagnostics12071663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 06/10/2022] [Revised: 07/03/2022] [Accepted: 07/05/2022] [Indexed: 11/16/2022] Open
Abstract
The coronary artery calcium score is an independent risk factor of the development of adverse cardiac events. The severity of coronary artery calcification may influence the myocardial texture. Due to higher spatial resolution and signal-to-noise ratio, new CT technologies such as PCCT may improve the detection of texture alterations depending on the severity of coronary artery calcification. In this retrospective, single-center, IRB-approved study, left ventricular myocardium was segmented and radiomics features were extracted using pyradiomics. The mean and standard deviation with the Pearson correlation coefficient for correlations of features were calculated and visualized as boxplots and heatmaps. Random forest feature selection was performed. Thirty patients (26.7% women, median age 58 years) were enrolled in the study. Patients were divided into two subgroups depending on the severity of coronary artery calcification (Agatston score 0 and Agatston score ≥ 100). Through random forest feature selection, a set of four higher-order features could be defined to discriminate myocardial texture between the two groups. When including the additional Agatston 1–99 groups as a validation, a severity-associated change in feature intensity was detected. A subset of radiomics features texture alterations of the left ventricular myocardium was associated with the severity of coronary artery calcification estimated by the Agatston score.
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Affiliation(s)
- Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
- Correspondence: ; Tel.: +49-62-1383-2067
| | - Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Rübenacher Straße 170, 56072 Koblenz, Germany
| | - Lukas T. Rotkopf
- Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany;
| | - Philipp Riffel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
| | - Matthias F. Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.); (M.F.F.)
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Hohenberger P, Rathmann N, Buesing K, Menge F, Reichardt P, Schoenberg SO, Diehl S. Selective internal radioembolization (SIRT) allows to control liver metastases of gastrointestinal stromal tumors (GIST) failing treatment with tyrosine kinase inhibitors (TKI). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.11540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
11540 Background: The liver and the peritoneum are the main area of metastatic spread in GIST. Liver resection does not play a role for hepatic metastases in comparison to f.e. colorectal cancer. If hepatic metastases are the only or major area of tumor progression and are resistant to available TKIs due to a missing mutation in KIT/PDGFRA/SDH (‘wildtype’) or after treatment with 1st/2nd/3rd/4th line therapy, interventional radioembolization with yttrium-90 (90Y) microspheres are promising treatment options, as radiation doses as high as 200Gy can be applied locally. We analyzed the long-term results of SIRT with respect to hepatic-progression-free survival (HEP-PFS) in a consecutive cohort of patients Methods: From 1/2008 to 1/2018, 2^6 pts (12f, 14m) with biopsy proven liver metastases of GIST which were the only (n = 13) or the dominant site of progression (n = 12) were treated by SIRT. Median age at GIST diagnosis had been 51.8 yrs and when receiving SIRT was 57.6yrs (range, 18–75yrs). The mutational status was ‘wildtype’ (n = 7, 2 NF-1), exon 11 (n = 7), exon 11+2nd mutation (n = 7), exon 9 (n = 3), exon 9+2ndmut (n = 1), and, exon 13 (n = 1). All patients except of two had prior TKI therapy: 1 line n = 3, 2 lines n = 11, 3-4 lines n = 9. Follow-up after SIRT was done via dynamic MRI and contrast-enhanced (CE)-CT, the median follow-up is 33.6 mos (range, 12-108mos) and all patients were followed until death Results:.The median hepatic-progression free survival (HEP-PFS) after SIRT was 17 months (range, 5-53+, 95%CI 10.7-23.8 mos). Of the patients with concomitant extrahepatic disease, the extraHEP-PFS was median 10 months. Twelve patients received next-line TKI therapy for progressive extrahepatic disease, whereas six patients required this for progressive liver metastases. When comparing the results according to the mutational status, patients with a ‘wildtype’ tumor showed a better median HEP-PFS of 19 mos (range, 12-53+, 95%CI 16.7-21.2 mos.) in comparison to KIT exon 9/11/13 mutated patients with only 14 months (range, 4-34 mos., 95%CI 6.5-21.4 mos), p < 0.11 (Wilcoxon). Conclusions: 90Y radioembolization (SIRT) offers a safe and effective treatment for patients with liver metastases of GISTs being the dominant site of tumor progression and with no drug treatment options available. In patients known to have no mutation in KIT/PDGFRA (wt, also NF-1 associated) it looks whether the results might be even more promising and SIRT could be used in earlier treatment lines.
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Affiliation(s)
- Peter Hohenberger
- Division of Surgical Oncology and Thoracic Surgery, Mannheim University Medical Centre, University of Heidelberg, Mannheim, Germany
| | - Nils Rathmann
- IKRN, Mannheim University Medical Center, Mannheim, Germany
| | - Karen Buesing
- IKRN, Mannheim University Medical Center, Mannheim, Germany
| | - Franka Menge
- University Medical Center Mannheim, Div.of Surgical Oncology & Thoracic Surgery, Mannheim, Germany
| | - Peter Reichardt
- Sarcoma Center Berlin-Brandenburg, Helios Klinikum Berlin Buch, Berlin, Germany
| | - Stefan O. Schoenberg
- University Medical Center Mannheim, Medical Faculty Mannheim–Heidelberg University, Mannheim, Germany
| | - Steffen Diehl
- IKRN, Mannheim University Medical Center, Mannheim, Germany
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Ilicak E, Ozdemir S, Schad LR, Weis M, Schoenberg SO, Zöllner FG, Zapp J. Phase-cycled balanced SSFP imaging for non-contrast-enhanced functional lung imaging. Magn Reson Med 2022; 88:1764-1774. [PMID: 35608220 DOI: 10.1002/mrm.29302] [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: 02/18/2022] [Revised: 04/11/2022] [Accepted: 04/25/2022] [Indexed: 11/09/2022]
Abstract
PURPOSE To introduce phase-cycled balanced SSFP (bSSFP) acquisition as an alternative in Fourier decomposition MRI for improved robustness against field inhomogeneities. METHODS Series 2D dynamic lung images were acquired in 5 healthy volunteers at 1.5 T and 3 T using bSSFP sequence with multiple RF phase increments and compared with conventional single RF phase increment acquisitions. The approach was evaluated based on functional map homogeneity analysis, while ensuring image and functional map quality by means of SNR and contrast-to-noise ratio analyses. RESULTS At both field strengths, functional maps obtained with phase-cycled acquisitions displayed improved robustness against local signal losses compared with single-phase acquisitions. The coefficient of variation (mean ± SD, across volunteers) measured in the ventilation maps resulted in 29.7 ± 2.6 at 1.5 T and 37.5 ± 3.1 at 3 T for phase-cycled acquisitions, compared with 39.9 ± 5.2 at 1.5 T and 49.5 ± 3.7 at 3 T for single-phase acquisitions, indicating a significant improvement ( p < 0.05 $$ p<0.05 $$ ) in ventilation map homogeneity. CONCLUSIONS Phase-cycled bSSFP acquisitions improve robustness against field inhomogeneity artifacts and significantly improve ventilation map homogeneity at both field strengths. As such, phase-cycled bSSFP may serve as a robust alternative in lung function assessments.
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Affiliation(s)
- Efe Ilicak
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Safa Ozdemir
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lothar R Schad
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Meike Weis
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frank G Zöllner
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jascha Zapp
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Ayx I, Tharmaseelan H, Hertel A, Nörenberg D, Overhoff D, Rotkopf LT, Riffel P, Schoenberg SO, Froelich MF. Comparison Study of Myocardial Radiomics Feature Properties on Energy-Integrating and Photon-Counting Detector CT. Diagnostics (Basel) 2022; 12:diagnostics12051294. [PMID: 35626448 PMCID: PMC9141463 DOI: 10.3390/diagnostics12051294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 04/19/2022] [Revised: 05/20/2022] [Accepted: 05/21/2022] [Indexed: 12/30/2022] Open
Abstract
The implementation of radiomics-based, quantitative imaging parameters is hampered by a lack of stability and standardization. Photon-counting computed tomography (PCCT), compared to energy-integrating computed tomography (EICT), does rely on a novel detector technology, promising better spatial resolution and contrast-to-noise ratio. However, its effect on radiomics feature properties is unknown. This work investigates this topic in myocardial imaging. In this retrospective, single-center IRB-approved study, the left ventricular myocardium was segmented on CT, and the radiomics features were extracted using pyradiomics. To compare features between scanners, a t-test for non-paired samples and F-test was performed, with a threshold of 0.05 set as a benchmark for significance. Feature correlations were calculated by the Pearson correlation coefficient, and visualization was performed with heatmaps. A total of 50 patients (56% male, mean age 56) were enrolled in this study, with equal proportions of PCCT and EICT. First-order features were, nearly, comparable between both groups. However, higher-order features showed a partially significant difference between PCCT and EICT. While first-order radiomics features of left ventricular myocardium show comparability between PCCT and EICT, detected differences of higher-order features may indicate a possible impact of improved spatial resolution, better detection of lower-energy photons, and a better signal-to-noise ratio on texture analysis on PCCT.
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Affiliation(s)
- Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
| | - Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Rübenacher Straße 170, 56072 Koblenz, Germany
| | - Lukas T. Rotkopf
- Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany;
| | - Philipp Riffel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
| | - Matthias F. Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany; (I.A.); (H.T.); (A.H.); (D.N.); (D.O.); (P.R.); (S.O.S.)
- Correspondence: ; Tel.: +49-621-383-2067
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Tharmaseelan H, Hertel A, Tollens F, Rink J, Woźnicki P, Haselmann V, Ayx I, Nörenberg D, Schoenberg SO, Froelich MF. Identification of CT Imaging Phenotypes of Colorectal Liver Metastases from Radiomics Signatures-Towards Assessment of Interlesional Tumor Heterogeneity. Cancers (Basel) 2022; 14:cancers14071646. [PMID: 35406418 PMCID: PMC8997087 DOI: 10.3390/cancers14071646] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/17/2022] [Accepted: 03/21/2022] [Indexed: 02/06/2023] Open
Abstract
(1) Background: Tumoral heterogeneity (TH) is a major challenge in the treatment of metastatic colorectal cancer (mCRC) and is associated with inferior response. Therefore, the identification of TH would be beneficial for treatment planning. TH can be assessed by identifying genetic alterations. In this work, a radiomics-based approach for assessment of TH in colorectal liver metastases (CRLM) in CT scans is demonstrated. (2) Methods: In this retrospective study, CRLM of mCRC were segmented and radiomics features extracted using pyradiomics. Unsupervised k-means clustering was applied to features and lesions. Feature redundancy was evaluated by principal component analysis and reduced by Pearson correlation coefficient cutoff. Feature selection was conducted by LASSO regression and visual analysis of the clusters by radiologists. (3) Results: A total of 47 patients’ (36% female, median age 64) CTs with 261 lesions were included. Five clusters were identified, and the categories small disseminated (n = 31), heterogeneous (n = 105), homogeneous (n = 64), mixed (n = 59), and very large type (n = 2) were assigned based on visual characteristics. Further statistical analysis showed correlation (p < 0.01) of clusters with sex, primary location, T- and N-status, and mutational status. Feature reduction and selection resulted in the identification of four features as a final set for cluster definition. (4) Conclusions: Radiomics features can characterize TH in liver metastases of mCRC in CT scans, and may be suitable for a better pretherapeutic classification of liver lesion phenotypes.
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Affiliation(s)
- Hishan Tharmaseelan
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Fabian Tollens
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Johann Rink
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Piotr Woźnicki
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Verena Haselmann
- Institute of Clinical Chemistry, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany;
| | - Isabelle Ayx
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Dominik Nörenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
| | - Matthias F. Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, 68167 Mannheim, Germany; (H.T.); (A.H.); (F.T.); (J.R.); (P.W.); (I.A.); (D.N.); (S.O.S.)
- Correspondence:
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Tharmaseelan H, Froelich MF, Nörenberg D, Overhoff D, Rotkopf LT, Riffel P, Schoenberg SO, Ayx I. Influence of local aortic calcification on periaortic adipose tissue radiomics texture features-a primary analysis on PCCT. Int J Cardiovasc Imaging 2022; 38:2459-2467. [PMID: 36434338 PMCID: PMC9700618 DOI: 10.1007/s10554-022-02656-2] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 05/22/2022] [Indexed: 12/14/2022]
Abstract
Perivascular adipose tissue is known to be metabolically active. Volume and density of periaortic adipose tissue are associated with aortic calcification as well as aortic diameter indicating a possible influence of periaortic adipose tissue on the development of aortic calcification. Due to better spatial resolution and signal-to-noise ratio, new CT technologies such as photon-counting computed tomography may allow the detection of texture alterations of periaortic adipose tissue depending on the existence of local aortic calcification possibly outlining a biomarker for the development of arteriosclerosis. In this retrospective, single-center, IRB-approved study, periaortic adipose tissue was segmented semiautomatically and radiomics features were extracted using pyradiomics. Statistical analysis was performed in R statistics calculating mean and standard deviation with Pearson correlation coefficient for feature correlation. For feature selection Random Forest classification was performed. A two-tailed unpaired t test was applied to the final feature set. Results were visualized as boxplots and heatmaps. A total of 30 patients (66.6% female, median age 57 years) were enrolled in this study. Patients were divided into two subgroups depending on the presence of local aortic calcification. By Random Forest feature selection a set of seven higher-order features could be defined to discriminate periaortic adipose tissue texture between these two groups. The t test showed a statistic significant discrimination for all features (p < 0.05). Texture changes of periaortic adipose tissue associated with the existence of local aortic calcification may lay the foundation for finding a biomarker for development of arteriosclerosis.
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Affiliation(s)
- Hishan Tharmaseelan
- grid.411778.c0000 0001 2162 1728Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Matthias F. Froelich
- grid.411778.c0000 0001 2162 1728Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Dominik Nörenberg
- grid.411778.c0000 0001 2162 1728Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Daniel Overhoff
- grid.411778.c0000 0001 2162 1728Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany ,Department of Diagnostic and Interventional Radiology and Neuroradiology, Bundeswehr Central Hospital Koblenz, Rübenacher Straße 170, 56072 Koblenz, Germany
| | - Lukas T. Rotkopf
- grid.7497.d0000 0004 0492 0584Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Philipp Riffel
- grid.411778.c0000 0001 2162 1728Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Stefan O. Schoenberg
- grid.411778.c0000 0001 2162 1728Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Isabelle Ayx
- grid.411778.c0000 0001 2162 1728Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
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Rennebaum S, Schneider SW, Henzler T, Desch A, Weiß C, Haubenreisser H, Goerdt S, Morelli JN, Utikal JS, Schoenberg SO, Riffel J. Incidence of pulmonary embolism and impact on mortality in patients with malignant melanoma. Clin Imaging 2021; 83:72-76. [PMID: 34990983 DOI: 10.1016/j.clinimag.2021.12.012] [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: 08/30/2021] [Revised: 12/02/2021] [Accepted: 12/21/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE Pulmonary embolism (PE) occurs frequently in patients with malignant melanoma (MM). The aim of this study is to determine the incidence of PE in patients with MM and to assess the clinical characteristics and mortality of MM patients with PE. MATERIAL AND METHODS Medical records from 381 MM patients who underwent contrast-enhanced computed tomography were evaluated. Imaging parameters including location of PE and measurements of right heart dysfunction and clinical parameters including D-Dimer levels, local and distant tumor stage and time of death were analyzed. RESULTS PE was found in 23/381 (6%) MM patients, whereby 17/23 (74%) were detected incidentally and only 6/23 (26%) were symptomatic. The presence of PE significantly correlated with elevated D-Dimers (p < 0.001), right ventricular dysfunction (p = 0.04), higher local tumor stage (≥T3) (p = 0.05), presence of visceral (p = 0.02) or cerebral metastases (p = 0.03) and increased mortality (p = 0.05). Further, patients with central PE showed an increased mortality compared to peripheral PE (p = 0.03), but no correlation was found between the localization of PE and the occurrence of clinical symptoms (p = 0.36). CONCLUSION PE in patients with MM often occurs without clinical symptoms and is indicative for advanced disease and a poorer prognosis.
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Affiliation(s)
- Shereen Rennebaum
- Medical Faculty Mannheim, University of Heidelberg, Institute of Clinical Radiology and Nuclear Medicine, Mannheim, Germany
| | - Stefan W Schneider
- University Hospital of Hamburg-Eppendorf, Clinic of Dermatology, Hamburg, Germany
| | - Thomas Henzler
- Medical Faculty Mannheim, University of Heidelberg, Institute of Clinical Radiology and Nuclear Medicine, Mannheim, Germany
| | - Anna Desch
- University Medical Center Mainz, Department of Dermatology, Venereology and Allergology, Germany
| | - Christel Weiß
- University of Heidelberg, Medical Statistics, Mannheim, Germany
| | - Holger Haubenreisser
- Medical Faculty Mannheim, University of Heidelberg, Institute of Clinical Radiology and Nuclear Medicine, Mannheim, Germany
| | - Sergij Goerdt
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, Mannheim, Germany
| | - John N Morelli
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jochen S Utikal
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, Mannheim, Germany
| | - Stefan O Schoenberg
- Medical Faculty Mannheim, University of Heidelberg, Institute of Clinical Radiology and Nuclear Medicine, Mannheim, Germany
| | - Julia Riffel
- Medical Faculty Mannheim, University of Heidelberg, Institute of Clinical Radiology and Nuclear Medicine, Mannheim, Germany.
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Schnitzer ML, Kremer C, Hertel A, Haselmann V, von Münchhausen N, Schoenberg SO, Froelich MF. Economic assessment of molecular imaging in the oncology treatment process. Eur J Radiol 2021; 146:110105. [PMID: 34920293 DOI: 10.1016/j.ejrad.2021.110105] [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: 10/10/2021] [Accepted: 12/08/2021] [Indexed: 11/19/2022]
Abstract
The development towards targeted treatments in oncology has been accompanied by significant improvements in molecular imaging. Yet, broad application of novel imaging techniques has partly been slowed down due to economical considerations. Building on the broad positive evidence of its diagnostic accuracy, modelling of effects on long-term costs and effectiveness may help to foster a broader application and acceptance of comprehensive molecular imaging techniques, such as PET/MRI. In this article, common economic evaluation techniques and cost-effectiveness analysis (CEA) evaluation methods will be introduced including Markov models and incremental cost-effectiveness ratios (ICER). This is complemented with a review of literature on recently published cost-effectiveness of molecular imaging. Additionally, the strategic relevance of CEAs for the molecular imaging community is discussed and combined with a global outlook.
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Affiliation(s)
- Moritz L Schnitzer
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Christophe Kremer
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Alexander Hertel
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Verena Haselmann
- Department of Clinical Chemistry, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
| | - Niklas von Münchhausen
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.
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Overhoff D, Ansari U, Hohneck A, Tülümen E, Rudic B, Kuschyk J, Lossnitzer D, Baumann S, Froelich MF, Waldeck S, Akin I, Borggrefe M, Schoenberg SO, Papavassiliu T. Prediction of cardiac events with non-contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy. ESC Heart Fail 2021; 9:574-584. [PMID: 34818694 PMCID: PMC8788051 DOI: 10.1002/ehf2.13712] [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: 06/20/2021] [Revised: 09/24/2021] [Accepted: 10/31/2021] [Indexed: 11/23/2022] Open
Abstract
Aims The aim of this study was to evaluate the prognostic value of feature tracking (FT) derived cardiac magnetic resonance (CMR) strain parameters of the left ventricle (LV)/right ventricle (RV) in ischaemic cardiomyopathy (ICM) patients treated with an implantable cardioverter‐defibrillator (ICD). Current guidelines suggest a LV‐ejection fraction ≤35% as major criterion for ICD implantation in ICM, but this is a poor predictor for arrhythmic events. Supplementary parameters are missing. Methods and results Ischaemic cardiomyopathy patients (n = 242), who underwent CMR imaging prior to primary and secondary implantation of ICD, were classified depending on EF ≤ 35% (n = 188) or >35% (n = 54). FT parameters were derived from steady‐state free precession cine views using dedicated software. The primary endpoint was a composite of cardiovascular mortality (CVM) and/or appropriate ICD therapy. There were no significant differences in FT‐function or LV‐/RV‐function parameters in patients with an EF ≤ 35% correlating to the primary endpoint. In patients with EF > 35%, standard CMR functional parameters, such as LV‐EF, did not reveal significant differences. However, significant differences in most FT parameters correlating to the primary endpoint were observed in this subgroup. LV‐GLS (left ventricular‐global longitudinal strain) and RV‐GRS (right ventricular‐global radial strain) revealed the best diagnostic performance in ROC curve analysis. The combination of LV‐GLS and RV‐GRS showed a sensitivity of 85% and a specificity of 76% for the prediction of future events. Conclusions The impact of FT derived measurements in the risk stratification of patients with ICM depends on LV function. The combination of LV‐GLS/RV‐GRS seems to be a predictor of cardiovascular mortality and/or appropriate ICD therapy in patients with EF > 35%.
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Affiliation(s)
- Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.,Department of Radiology and Neuroradiology, German Federal Armed Forces Central Hospital, Koblenz, Germany
| | - Uzair Ansari
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Anna Hohneck
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Erol Tülümen
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany
| | - Boris Rudic
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany
| | - Jürgen Kuschyk
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany
| | - Dirk Lossnitzer
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Stefan Baumann
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Stephan Waldeck
- Department of Radiology and Neuroradiology, German Federal Armed Forces Central Hospital, Koblenz, Germany
| | - Ibrahim Akin
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Martin Borggrefe
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Theano Papavassiliu
- 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Heidelberg, D-68167, Germany.,DZHK (German Centre for Cardiovascular Research) partner site Mannheim, Mannheim, Germany
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Golla AK, Tönnes C, Russ T, Bauer DF, Froelich MF, Diehl SJ, Schoenberg SO, Keese M, Schad LR, Zöllner FG, Rink JS. Automated Screening for Abdominal Aortic Aneurysm in CT Scans under Clinical Conditions Using Deep Learning. Diagnostics (Basel) 2021; 11:2131. [PMID: 34829478 PMCID: PMC8621263 DOI: 10.3390/diagnostics11112131] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 11/10/2021] [Accepted: 11/14/2021] [Indexed: 11/16/2022] Open
Abstract
Abdominal aortic aneurysms (AAA) may remain clinically silent until they enlarge and patients present with a potentially lethal rupture. This necessitates early detection and elective treatment. The goal of this study was to develop an easy-to-train algorithm which is capable of automated AAA screening in CT scans and can be applied to an intra-hospital environment. Three deep convolutional neural networks (ResNet, VGG-16 and AlexNet) were adapted for 3D classification and applied to a dataset consisting of 187 heterogenous CT scans. The 3D ResNet outperformed both other networks. Across the five folds of the first training dataset it achieved an accuracy of 0.856 and an area under the curve (AUC) of 0.926. Subsequently, the algorithms performance was verified on a second data set containing 106 scans, where it ran fully automated and resulted in an accuracy of 0.953 and an AUC of 0.971. A layer-wise relevance propagation (LRP) made the decision process interpretable and showed that the network correctly focused on the aortic lumen. In conclusion, the deep learning-based screening proved to be robust and showed high performance even on a heterogeneous multi-center data set. Integration into hospital workflow and its effect on aneurysm management would be an exciting topic of future research.
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Affiliation(s)
- Alena-K. Golla
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (A.-K.G.); (C.T.); (T.R.); (D.F.B.); (L.R.S.); (F.G.Z.)
| | - Christian Tönnes
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (A.-K.G.); (C.T.); (T.R.); (D.F.B.); (L.R.S.); (F.G.Z.)
| | - Tom Russ
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (A.-K.G.); (C.T.); (T.R.); (D.F.B.); (L.R.S.); (F.G.Z.)
| | - Dominik F. Bauer
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (A.-K.G.); (C.T.); (T.R.); (D.F.B.); (L.R.S.); (F.G.Z.)
| | - Matthias F. Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (M.F.F.); (S.J.D.); (S.O.S.)
| | - Steffen J. Diehl
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (M.F.F.); (S.J.D.); (S.O.S.)
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (M.F.F.); (S.J.D.); (S.O.S.)
| | - Michael Keese
- Department of Surgery, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany;
| | - Lothar R. Schad
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (A.-K.G.); (C.T.); (T.R.); (D.F.B.); (L.R.S.); (F.G.Z.)
| | - Frank G. Zöllner
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (A.-K.G.); (C.T.); (T.R.); (D.F.B.); (L.R.S.); (F.G.Z.)
| | - Johann S. Rink
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany; (M.F.F.); (S.J.D.); (S.O.S.)
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Karampinis I, Rathmann N, Kostrzewa M, Diehl SJ, Schoenberg SO, Hohenberger P, Roessner ED. Computer tomography guided thoracoscopic resection of small pulmonary nodules in the hybrid theatre. PLoS One 2021; 16:e0258896. [PMID: 34731178 PMCID: PMC8565725 DOI: 10.1371/journal.pone.0258896] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/07/2021] [Indexed: 11/20/2022] Open
Abstract
Purpose Thoracic surgeons are currently asked to resect smaller and deeper lesions which are difficult to detect thoracoscopically. The growing number of those lesions arises both from lung cancer screening programs and from follow-up of extrathoracic malignancies. This study analyzed the routine use of a CT-aided thoracoscopic approach to small pulmonary nodules in the hybrid theatre and the resulting changes in the treatment pathway. Methods 50 patients were retrospectively included. The clinical indication for histological diagnosis was suspected metastasis in 46 patients. Technically, the radiological distance between the periphery of the lesion and the visceral pleura had to exceed the maximum diameter of the lesion for the patient to be included. A spiral wire was placed using intraoperative CT-based laser navigation to guide the thoracoscopic resection. Results The mean diameter of the lesions was 8.4 mm (SD 4.27 mm). 29.4 minutes (SD 28.5) were required on average for the wire placement and 42.3 minutes (SD 20.1) for the resection of the lesion. Histopathology confirmed the expected diagnosis in 30 of 52 lesions. In the remaining 22 lesions, 9 cases of primary lung cancer were detected while 12 patients showed a benign disease. Conclusion Computer tomography assisted thoracoscopic surgery (CATS) enabled successful resection in all cases with minimal morbidity. The histological diagnosis led to a treatment change in 42% of the patients. The hybrid-CATS technique provides good access to deeply located small pulmonary nodules and could be particularly valuable in the emerging setting of lung cancer screening.
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Affiliation(s)
- Ioannis Karampinis
- Division of Thoracic Surgery, The Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
- Division of Surgical Oncology and Thoracic Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Nils Rathmann
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael Kostrzewa
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Steffen J. Diehl
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan O. Schoenberg
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Peter Hohenberger
- Division of Surgical Oncology and Thoracic Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Eric D. Roessner
- Division of Surgical Oncology and Thoracic Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Academic Thoracic Center, University Medical Center Mainz, Johannes Gutenberg University Mainz, Germany
- * E-mail:
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Darwich A, Geiselhardt C, Bdeir M, Janssen S, Schoenberg SO, Gravius S, Jawhar A. Anthropometry of the proximal femur and femoral head in children/adolescents using three-dimensional computed tomography-based measurements. Surg Radiol Anat 2021; 43:2009-2023. [PMID: 34599355 PMCID: PMC8536629 DOI: 10.1007/s00276-021-02841-3] [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: 01/18/2021] [Accepted: 09/19/2021] [Indexed: 12/03/2022]
Abstract
Purpose Defining normal anthropometric ranges of proximal femur and femoral head for each age group in children/adolescents is a necessity when differentiating normal anatomical variants from pathological deformities. Aim of this study is to define a set of normal anthropometric parameters based on 3D-CT measurements in normal asymptomatic children/adolescents and analyse the variations arising depending on age, side, and/or gender. Methods Morphology of the proximal femur was retrospectively assessed in 170 hips (85 children, < 15 years). Measurements included covered femoral head volume (CFHV), femoral head diameter (FHD), femoral head extrusion index (FHEI), coronal alpha angle (CAA), lateral centre-edge angle (LCEA), anterior (AOS) and posterior head-neck offset (POS) and femoral neck-shaft angle (FNSA). Correlation analyses as well as inter- and intra-rater reliability were performed. Results CFHV, LCEA, FHD and AOS/POS increased with age and FHEI, CAA, and FNSA decreased with age. None of the measurements correlated with the side. AOS showed a poor correlation with gender. Rapid growth phases were observed at the age of 1, 7 and 11. The inter- and intra-rater reliability was high (range ICC 0.8–0.99 Cronbach alpha 0.86–0.99). Conclusion This data delivers a description of growth phases as well as gender and age-correlated reference values of the proximal femoral morphology that could be used by paediatricians and orthopaedic/paediatric surgeons to early diagnose proximal femur deformities and provide guidance in the planning of possible operations. Supplementary Information The online version contains supplementary material available at 10.1007/s00276-021-02841-3.
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Affiliation(s)
- Ali Darwich
- Department of Orthopaedics and Traumatology Surgery, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Christiane Geiselhardt
- Department of Orthopaedics and Traumatology Surgery, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Mohamad Bdeir
- Department of Orthopaedics and Traumatology Surgery, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Sonja Janssen
- Clinic of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Stefan O Schoenberg
- Clinic of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Sascha Gravius
- Department of Orthopaedics and Traumatology Surgery, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Ahmed Jawhar
- Department of Orthopaedics and Traumatology Surgery, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany. .,Department of Trauma, Orthopedics, Hand and Reconstructive Surgery, Klinikum Worms, Academic Teaching Hospital of the University Mainz, Gabriel-von-Seidl-Straße 81, 67550, Worms, Germany.
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Janssen S, Overhoff D, Froelich MF, Schoenberg SO, Rathmann N. Detectability of Lung Nodules in Ultra-low Dose CT. Anticancer Res 2021; 41:5053-5058. [PMID: 34593454 DOI: 10.21873/anticanres.15320] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 08/27/2021] [Accepted: 08/30/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND/AIM Investigation of the influence of different ultra-low dose computed tomography (ULDCT) protocols on the detection of solid and subsolid nodules in a phantom study. PATIENTS AND METHODS A chest phantom with pulmonary nodules was scanned with different CT protocols ranging from ultra-low dose settings with spectral shaping to a standard low dose lung cancer screening protocol. Image analysis was performed with different reconstruction algorithms and dedicated computer aided detection (CAD), which was compared to manual readout. RESULTS The highest sensitivity rates (83%) were achieved for the 90 mAs and 120 mAs protocols when reconstructed with ADMIRE 3 or 5 and manual readout. The only statistically significant difference was found for subsolid nodules with preference of manual readout compared to CAD (p<0.05). Dose levels for the mAs settings ranged from 0.029 to 0.2 mSv. CONCLUSION Reliable detectability rates for solid nodules were achieved; CAD software did not prove reliable for subsolid nodules.
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Affiliation(s)
- Sonja Janssen
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Daniel Overhoff
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Nils Rathmann
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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39
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Riffel J, Kannengiesser S, Schoenberg SO, Kaiser AK, Overhoff D, Riffel P, Kaiser CG. T2-weighted Imaging of the Breast at 1.5T Using Simultaneous Multi-slice Acceleration. Anticancer Res 2021; 41:4423-4429. [PMID: 34475064 DOI: 10.21873/anticanres.15249] [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: 05/28/2021] [Revised: 07/14/2021] [Accepted: 07/20/2021] [Indexed: 11/10/2022]
Abstract
AIM To evaluate the image quality and time saving using simultaneous multi-slice (SMS)-accelerated T2-weighted turbo spin echo (TSE) sequences compared to standard T2 TSE sequences in breast magnetic resonance imaging (MRI). PATIENTS AND METHODS Thirty patients were examined with an SMS-accelerated T2 TSE sequence and a standard T2 TSE sequence as part of a breast MRI protocol at 1.5T. Image quality, signal homogeneity and tissue delineation were evaluated. For quantitative assessment, the signal-to-noise ratio (SNR) was measured from representative SNR maps. RESULTS There were no significant differences regarding tissue delineation and signal homogeneity. Image quality was rated equal at the chest wall and the breasts but decreased in the axilla on SMS-T2 TSE (p=0.01) with a simultaneous decrease of SNR (p=0.03). This did not significantly impact the overall image quality (p=0.2). The acquisition time for SMS-T2 TSE was 48% shorter compared to standard T2 TSE. CONCLUSION SMS-acceleration for T2-weighted imaging of the breast at 1.5T substantially reduces acquisition time while maintaining comparable quantitative and qualitative image quality. This may pave the way for protocol abbreviation especially in a high-throughput clinical workspace.
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Affiliation(s)
- Julia Riffel
- Clinic of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany;
| | | | - Stefan O Schoenberg
- Clinic of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Anna K Kaiser
- Clinic of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Daniel Overhoff
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Philipp Riffel
- Clinic of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Clemens G Kaiser
- Clinic of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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40
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Scherer J, Nolden M, Kleesiek J, Metzger J, Kades K, Schneider V, Bach M, Sedlaczek O, Bucher AM, Vogl TJ, Grünwald F, Kühn JP, Hoffmann RT, Kotzerke J, Bethge O, Schimmöller L, Antoch G, Müller HW, Daul A, Nikolaou K, la Fougère C, Kunz WG, Ingrisch M, Schachtner B, Ricke J, Bartenstein P, Nensa F, Radbruch A, Umutlu L, Forsting M, Seifert R, Herrmann K, Mayer P, Kauczor HU, Penzkofer T, Hamm B, Brenner W, Kloeckner R, Düber C, Schreckenberger M, Braren R, Kaissis G, Makowski M, Eiber M, Gafita A, Trager R, Weber WA, Neubauer J, Reisert M, Bock M, Bamberg F, Hennig J, Meyer PT, Ruf J, Haberkorn U, Schoenberg SO, Kuder T, Neher P, Floca R, Schlemmer HP, Maier-Hein K. Joint Imaging Platform for Federated Clinical Data Analytics. JCO Clin Cancer Inform 2021; 4:1027-1038. [PMID: 33166197 PMCID: PMC7713526 DOI: 10.1200/cci.20.00045] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [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] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Image analysis is one of the most promising applications of artificial intelligence (AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases. Although scientific advances in this area critically depend on the accessibility of large-volume and high-quality data, sharing data between institutions faces various ethical and legal constraints as well as organizational and technical obstacles. METHODS The Joint Imaging Platform (JIP) of the German Cancer Consortium (DKTK) addresses these issues by providing federated data analysis technology in a secure and compliant way. Using the JIP, medical image data remain in the originator institutions, but analysis and AI algorithms are shared and jointly used. Common standards and interfaces to local systems ensure permanent data sovereignty of participating institutions. RESULTS The JIP is established in the radiology and nuclear medicine departments of 10 university hospitals in Germany (DKTK partner sites). In multiple complementary use cases, we show that the platform fulfills all relevant requirements to serve as a foundation for multicenter medical imaging trials and research on large cohorts, including the harmonization and integration of data, interactive analysis, automatic analysis, federated machine learning, and extensibility and maintenance processes, which are elementary for the sustainability of such a platform. CONCLUSION The results demonstrate the feasibility of using the JIP as a federated data analytics platform in heterogeneous clinical information technology and software landscapes, solving an important bottleneck for the application of AI to large-scale clinical imaging data.
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Affiliation(s)
- Jonas Scherer
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.,German Cancer Consortium, Heidelberg, Germany
| | - Marco Nolden
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.,German Cancer Consortium, Heidelberg, Germany.,Pattern Analysis and Learning Group, Radio-oncology and Clinical Radiotherapy, Heidelberg University Hospital, Heidelberg, Germany
| | - Jens Kleesiek
- German Cancer Consortium, Heidelberg, Germany.,Division of Radiology, German Cancer Research Center, Heidelberg, Germany
| | - Jasmin Metzger
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.,German Cancer Consortium, Heidelberg, Germany
| | - Klaus Kades
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.,German Cancer Consortium, Heidelberg, Germany
| | - Verena Schneider
- German Cancer Consortium, Heidelberg, Germany.,Division of Radiology, German Cancer Research Center, Heidelberg, Germany
| | - Michael Bach
- German Cancer Consortium, Heidelberg, Germany.,Division of Radiology, German Cancer Research Center, Heidelberg, Germany
| | - Oliver Sedlaczek
- German Cancer Consortium, Heidelberg, Germany.,Division of Radiology, German Cancer Research Center, Heidelberg, Germany.,Klinik Diagnostische und Interventionelle Radiologie der Universität Heidelberg, Heidelberg, Germany
| | - Andreas M Bucher
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Frankfurt, Frankfurt, Germany
| | - Thomas J Vogl
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Frankfurt, Frankfurt, Germany
| | - Frank Grünwald
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin, Universitätsklinikum Frankfurt, Frankfurt, Germany
| | - Jens-Peter Kühn
- German Cancer Consortium, Heidelberg, Germany.,Institut und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Germany
| | - Ralf-Thorsten Hoffmann
- German Cancer Consortium, Heidelberg, Germany.,Institut und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Germany
| | - Jörg Kotzerke
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Germany
| | - Oliver Bethge
- German Cancer Consortium, Heidelberg, Germany.,Medical Faculty, Department of Diagnostic and Interventional Radiology, University Düsseldorf, Düsseldorf, Germany
| | - Lars Schimmöller
- German Cancer Consortium, Heidelberg, Germany.,Medical Faculty, Department of Diagnostic and Interventional Radiology, University Düsseldorf, Düsseldorf, Germany
| | - Gerald Antoch
- German Cancer Consortium, Heidelberg, Germany.,Medical Faculty, Department of Diagnostic and Interventional Radiology, University Düsseldorf, Düsseldorf, Germany
| | - Hans-Wilhelm Müller
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin, Universitätsklinikum Düsseldorf, Düsseldorf, Germany
| | - Andreas Daul
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Konstantin Nikolaou
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Christian la Fougère
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin und Klinische Molekulare Bildgebung, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Wolfgang G Kunz
- German Cancer Consortium, Heidelberg, Germany.,Department of Radiology, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Michael Ingrisch
- German Cancer Consortium, Heidelberg, Germany.,Department of Radiology, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Balthasar Schachtner
- German Cancer Consortium, Heidelberg, Germany.,Department of Radiology, University Hospital, Ludwig Maximilian University Munich, Munich, Germany.,German Center of Lung Research, Giessen, Germany
| | - Jens Ricke
- German Cancer Consortium, Heidelberg, Germany.,Department of Radiology, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
| | - Peter Bartenstein
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Nuklearmedizin, Klinikum der Universität München, München, Germany
| | - Felix Nensa
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen AöR, Essen, Germany
| | - Alexander Radbruch
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen AöR, Essen, Germany
| | - Lale Umutlu
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen AöR, Essen, Germany
| | - Michael Forsting
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen AöR, Essen, Germany
| | - Robert Seifert
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin, Universitätsklinikum Essen AöR, Essen, Germany
| | - Ken Herrmann
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin, Universitätsklinikum Essen AöR, Essen, Germany
| | - Philipp Mayer
- German Cancer Consortium, Heidelberg, Germany.,Klinik Diagnostische und Interventionelle Radiologie der Universität Heidelberg, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- German Cancer Consortium, Heidelberg, Germany.,Klinik Diagnostische und Interventionelle Radiologie der Universität Heidelberg, Heidelberg, Germany.,German Center of Lung Research, Giessen, Germany
| | - Tobias Penzkofer
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Radiologie (mit dem Bereich Kinderradiologie), Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Hamm
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Radiologie (mit dem Bereich Kinderradiologie), Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Winfried Brenner
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Roman Kloeckner
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsmedizin Mainz, Mainz, Germany
| | - Christoph Düber
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsmedizin Mainz, Mainz, Germany
| | - Mathias Schreckenberger
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Nuklearmedizin, Universitätsmedizin Mainz, Mainz, Germany
| | - Rickmer Braren
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Georgios Kaissis
- German Cancer Consortium, Heidelberg, Germany.,Pattern Analysis and Learning Group, Radio-oncology and Clinical Radiotherapy, Heidelberg University Hospital, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,Department of Computing, Imperial College London, London, United Kingdom
| | - Marcus Makowski
- German Cancer Consortium, Heidelberg, Germany.,Institut für Diagnostische und Interventionelle Radiologie, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Matthias Eiber
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Nuklearmedizin, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Andrei Gafita
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Nuklearmedizin, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rupert Trager
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Nuklearmedizin, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Wolfgang A Weber
- German Cancer Consortium, Heidelberg, Germany.,Klinik und Poliklinik für Nuklearmedizin, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jakob Neubauer
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Marco Reisert
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Michael Bock
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Jürgen Hennig
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Philipp Tobias Meyer
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Juri Ruf
- German Cancer Consortium, Heidelberg, Germany.,Klinik für Nuklearmedizin, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Uwe Haberkorn
- German Cancer Consortium, Heidelberg, Germany.,Klinische Kooperationseinheit Nuklearmedizin, Deutsches Krebsforschungszentrum Heidelberg, Heidelberg, Germany
| | - Stefan O Schoenberg
- German Cancer Consortium, Heidelberg, Germany.,Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Heidelberg, Germany
| | - Tristan Kuder
- German Cancer Consortium, Heidelberg, Germany.,Medizinische Physik in der Radiologie, Deutsches Krebsforschungszentrum Heidelberg, Heidelberg, Germany
| | - Peter Neher
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.,German Cancer Consortium, Heidelberg, Germany
| | - Ralf Floca
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.,German Cancer Consortium, Heidelberg, Germany.,Pattern Analysis and Learning Group, Radio-oncology and Clinical Radiotherapy, Heidelberg University Hospital, Heidelberg, Germany
| | - Heinz-Peter Schlemmer
- Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany.,German Cancer Consortium, Heidelberg, Germany.,Division of Radiology, German Cancer Research Center, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.,Pattern Analysis and Learning Group, Radio-oncology and Clinical Radiotherapy, Heidelberg University Hospital, Heidelberg, Germany
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Tollens F, Westhoff N, von Hardenberg J, Clausen S, Ehmann M, Zöllner FG, Adlung A, Bauer DF, Schoenberg SO, Nörenberg D. [MRI-guided minimally invasive treatment of prostate cancer]. Radiologe 2021; 61:829-838. [PMID: 34251481 DOI: 10.1007/s00117-021-00883-7] [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] [Accepted: 06/17/2021] [Indexed: 11/27/2022]
Abstract
CLINICAL/METHODOLOGICAL ISSUE Multiparametric magnetic resonance imaging (mpMRI) of the prostate plays a crucial role in the diagnosis and local staging of primary prostate cancer. STANDARD RADIOLOGICAL METHODS Image-guided biopsy techniques such as MRI-ultrasound fusion not only allow guidance for targeted tissue sampling of index lesions for diagnostic confirmation, but also improve the detection of clinically significant prostate cancer. METHODOLOGICAL INNOVATIONS Minimally invasive, focal therapies of localized prostate cancer complement the treatment spectrum, especially for low- and intermediate-risk patients. PERFORMANCE In patients of low and intermediate risk, MR-guided, minimally invasive therapies could enable local tumor control, improved functional outcomes and possible subsequent therapy escalation. Further study results related to multimodal approaches and the application of artificial intelligence (AI) by machine and deep learning algorithms will help to leverage the full potential of focal therapies for prostate cancer in the upcoming era of precision medicine. ACHIEVEMENTS Completion of ongoing randomized trials comparing each minimally invasive therapy approach with established whole-gland procedures is needed before minimally invasive therapies can be implemented into existing treatment guidelines. PRACTICAL RECOMMENDATIONS This review article highlights minimally invasive therapies of prostate cancer and the key role of mpMRI for planning and conducting these therapies.
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Affiliation(s)
- Fabian Tollens
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim, Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
| | - Niklas Westhoff
- Klinik für Urologie und Urochirurgie, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland
| | - Jost von Hardenberg
- Klinik für Urologie und Urochirurgie, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland
| | - Sven Clausen
- Klinik für Strahlentherapie und Radioonkologie, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland
| | - Michael Ehmann
- Klinik für Strahlentherapie und Radioonkologie, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland
| | - Frank G Zöllner
- Computerunterstützte Klinische Medizin, Mannheimer Institut für Intelligente Systeme in der Medizin, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland
| | - Anne Adlung
- Computerunterstützte Klinische Medizin, Mannheimer Institut für Intelligente Systeme in der Medizin, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland
| | - Dominik F Bauer
- Computerunterstützte Klinische Medizin, Mannheimer Institut für Intelligente Systeme in der Medizin, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Deutschland
| | - Stefan O Schoenberg
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim, Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland
| | - Dominik Nörenberg
- Klinik für Radiologie und Nuklearmedizin, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim, Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland.
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42
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Harder FN, Budjan J, Nickel MD, Grimm R, Pietsch H, Schoenberg SO, Jost G, Attenberger UI. Intraindividual Comparison of Compressed Sensing-Accelerated Cartesian and Radial Arterial Phase Imaging of the Liver in an Experimental Tumor Model. Invest Radiol 2021; 56:433-441. [PMID: 33813577 DOI: 10.1097/rli.0000000000000767] [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: 11/25/2022]
Abstract
OBJECTIVES The aim of this study was to intraindividually compare the performance of 2 compressed sensing (CS)-accelerated magnetic resonance imaging (MRI) sequences, 1 featuring Cartesian (compressed sensing volumetric interpolated breath-hold examination [CS-VIBE]) and the other radial (golden-angle radial sparse parallel [GRASP]) k-space sampling in continuous dynamic imaging during hepatic vascular phases, using extracellular and hepatocyte-specific contrast agents. MATERIALS AND METHODS Seven New Zealand white rabbits, with induced VX2 liver tumors (median number of lesions, 2 ± 0.83; range, 1-3), received 2 continuously acquired T1-weighted prototype CS-accelerated MRI sequences (CS-VIBE and GRASP) with high spatial (0.8 × 0.8 × 1.5 mm) and temporal resolution (3.5 seconds) in randomized order on 2 separate days using a 1.5-T scanner. In all animals, imaging was performed using first gadobutrol at a dose of 0.1 mmol/kg and, then 45 minutes later, gadoxetic acid at a dose of 0.025 mmol/kg.The following qualitative parameters were assessed using 3- and 5-point Likert scales (3 and 5 being the highest scores respectively): image quality (IQ), arterial and venous vessel delineation, tumor enhancement, motion artifacts, and sequence-specific artifacts. Furthermore, the following quantitative parameters were obtained: relative peak signal enhancement, time to peak, mean transit time, and plasma flow ratios. Paired sampled t tests and Wilcoxon signed rank tests were used for intraindividual comparison. Image analysis was performed by 2 radiologists. RESULTS Six of 7 animals underwent the full imaging protocol and obtained data were analyzed statistically. Overall IQ was rated moderate to excellent, not differing significantly between the 2 sequences.Gadobutrol-enhanced CS-VIBE examinations revealed the highest mean Likert scale values in terms of vessel delineation and tumor enhancement (arterial 4.4 [4-5], venous 4.3 [3-5], and tumor 2.9 [2-3]). Significantly, more sequence-specific artifacts were seen in GRASP examinations (P = 0.008-0.031). However, these artifacts did not impair IQ. Excellent Likert scale ratings were found for motion artifacts in both sequences. In both sequences, a maximum of 4 hepatic arterial dominant phases were obtained. Regarding the relative peak signal enhancement, CS-VIBE and GRASP showed similar results. The relative peak signal enhancement values did not differ significantly between the 2 sequences in the aorta, the hepatic artery, or the inferior vena cava (P = 0.063-0.536). However, significantly higher values were noted for CS-VIBE in gadoxetic acid-enhanced examinations in the portal vein (P = 0.031) and regarding the tumor enhancement (P = 0.005). Time to peak and mean transit time or plasma flow ratios did not differ significantly between the sequences. CONCLUSIONS Both CS-VIBE and GRASP provide excellent results in dynamic liver MRI using extracellular and hepatocyte-specific contrast agents, in terms of IQ, peak signal intensity, and presence of artifacts.
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Affiliation(s)
- Felix N Harder
- From the Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich
| | | | | | | | | | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim-Heidelberg University, Mannheim
| | - Gregor Jost
- MR and CT Contrast Media Research, Bayer AG, Berlin
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, University of Bonn, Bonn, Germany
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Overhoff D, Kohlmann P, Frydrychowicz A, Gatidis S, Loewe C, Moltz J, Kuhnigk JM, Gutberlet M, Winter H, Völker M, Hahn H, Schoenberg SO. [The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples]. ROFO-FORTSCHR RONTG 2021; 193:e3. [PMID: 33890252 DOI: 10.1055/a-1475-0537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Peter Kohlmann
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Germany
| | - Sergios Gatidis
- Department of Diagnostic and Interventional Radiology, University-Hospital Tübingen, Germany
| | - Christian Loewe
- Department of Radiology, Medical University of Vienna, Austria
| | - Jan Moltz
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | | | - Matthias Gutberlet
- Department of Diagnostic and Interventional Radiology, Leipzig Heart Centre University Hospital, Leipzig, Germany
| | - H Winter
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Martin Völker
- German Roentgen Society "Deutsche Röntgengesellschaft", Berlin, Germany
| | - Horst Hahn
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
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Gassert FG, Rübenthaler J, Cyran CC, Rink JS, Schwarze V, Luitjens J, Gassert FT, Makowski MR, Schoenberg SO, Mayerhoefer ME, Tamandl D, Froelich MF. 18F FDG PET/MRI with hepatocyte-specific contrast agent for M staging of rectal cancer: a primary economic evaluation. Eur J Nucl Med Mol Imaging 2021; 48:3268-3276. [PMID: 33686457 PMCID: PMC8426298 DOI: 10.1007/s00259-021-05193-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/03/2021] [Indexed: 12/25/2022]
Abstract
Purpose Rectal cancer is one of the most frequent causes of cancer-related morbidity and mortality in the world. Correct identification of the TNM state in primary staging of rectal cancer has critical implications on patient management. Initial evaluations revealed a high sensitivity and specificity for whole-body PET/MRI in the detection of metastases allowing for metastasis-directed therapy regimens. Nevertheless, its cost-effectiveness compared with that of standard-of-care imaging (SCI) using pelvic MRI + chest and abdominopelvic CT is yet to be investigated. Therefore, the aim of this study was to analyze the cost-effectiveness of whole-body 18F FDG PET/MRI as an alternative imaging method to standard diagnostic workup for initial staging of rectal cancer. Methods For estimation of quality-adjusted life years (QALYs) and lifetime costs of diagnostic modalities, a decision model including whole-body 18F FDG PET/MRI with a hepatocyte-specific contrast agent and pelvic MRI + chest and abdominopelvic CT was created based on Markov simulations. For obtaining model input parameters, review of recent literature was performed. Willingness to pay (WTP) was set to $100,000/QALY. Deterministic sensitivity analysis of diagnostic parameters and costs was applied, and probabilistic sensitivity was determined using Monte Carlo modeling. Results In the base-case scenario, the strategy whole-body 18F FDG PET/MRI resulted in total costs of $52,186 whereas total costs of SCI were at $51,672. Whole-body 18F FDG PET/MRI resulted in an expected effectiveness of 3.542 QALYs versus 3.535 QALYs for SCI. This resulted in an incremental cost-effectiveness ratio of $70,291 per QALY for PET/MRI. Thus, from an economic point of view, whole-body 18F FDG PET/MRI was identified as an adequate diagnostic alternative to SCI with high robustness of results to variation of input parameters. Conclusion Based on the results of the analysis, use of whole-body 18F FDG PET/MRI was identified as a feasible diagnostic strategy for initial staging of rectal cancer from a cost-effectiveness perspective.
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Affiliation(s)
- Felix G Gassert
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr 15, 81377, Munich, Germany
| | - Clemens C Cyran
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr 15, 81377, Munich, Germany
| | - Johann S Rink
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Vincent Schwarze
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr 15, 81377, Munich, Germany
| | - Johanna Luitjens
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr 15, 81377, Munich, Germany
| | - Florian T Gassert
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Marcus R Makowski
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Marius E Mayerhoefer
- Department of Radiology, Memorial Sloan Kettering Cancer Center New York, New York City, NY, USA
| | - Dietmar Tamandl
- Department of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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Stoll-Dannenhauer T, Schwab G, Zahn K, Schaible T, Wessel L, Weiss C, Schoenberg SO, Henzler T, Weis M. Computed tomography based measurements to evaluate lung density and lung growth after congenital diaphragmatic hernia. Sci Rep 2021; 11:5035. [PMID: 33658565 PMCID: PMC7930262 DOI: 10.1038/s41598-021-84623-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 10/01/2020] [Accepted: 01/20/2021] [Indexed: 11/09/2022] Open
Abstract
Emphysema-like-change of lung is one aspect of lung morbidity in children after congenital diaphragmatic hernia (CDH). This study aims to evaluate if the extent of reduced lung density can be quantified through pediatric chest CT examinations, if side differences are present and if emphysema-like tissue is more prominent after CDH than in controls. Thirty-seven chest CT scans of CDH patients (mean age 4.5 ± 4.0 years) were analyzed semi-automatically and compared to an age-matched control group. Emphysema-like-change was defined as areas of lung density lower than - 950 HU in percentage (low attenuating volume, LAV). A p-value lower than 0.05 was regarded as statistically significant. Hypoattenuating lung tissue was more frequently present in the ipsilateral lung than the contralateral side (LAV 12.6% vs. 5.7%; p < 0.0001). While neither ipsilateral nor contralateral lung volume differed between CDH and control (p > 0.05), LAV in ipsilateral (p = 0.0002), but not in contralateral lung (p = 0.54), was higher in CDH than control. It is feasible to quantify emphysema-like-change in pediatric patients after CDH. In the ipsilateral lung, low-density areas are much more frequently present both in comparison to contralateral and to controls. Especially the ratio of LAV ipsilateral/contralateral seems promising as a quantitative parameter in the follow-up after CDH.
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Affiliation(s)
- Timm Stoll-Dannenhauer
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Gregor Schwab
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Katrin Zahn
- Department of Pediatric Surgery, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Thomas Schaible
- Department of Neonatology, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Lucas Wessel
- Department of Pediatric Surgery, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Christel Weiss
- Department of Medical Statistics and Biomathematics, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Thomas Henzler
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Meike Weis
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
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Overhoff D, Kohlmann P, Frydrychowicz A, Gatidis S, Loewe C, Moltz J, Kuhnigk JM, Gutberlet M, Winter H, Völker M, Hahn H, Schoenberg SO. The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples. ROFO-FORTSCHR RONTG 2020; 193:276-288. [PMID: 33242898 DOI: 10.1055/a-1244-2775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
PURPOSE The DRG-ÖRG IRP (Deutsche Röntgengesellschaft-Österreichische Röntgengesellschaft international radiomics platform) represents a web-/cloud-based radiomics platform based on a public-private partnership. It offers the possibility of data sharing, annotation, validation and certification in the field of artificial intelligence, radiomics analysis, and integrated diagnostics. In a first proof-of-concept study, automated myocardial segmentation and automated myocardial late gadolinum enhancement (LGE) detection using radiomic image features will be evaluated for myocarditis data sets. MATERIALS AND METHODS The DRG-ÖRP IRP can be used to create quality-assured, structured image data in combination with clinical data and subsequent integrated data analysis and is characterized by the following performance criteria: Possibility of using multicentric networked data, automatically calculated quality parameters, processing of annotation tasks, contour recognition using conventional and artificial intelligence methods and the possibility of targeted integration of algorithms. In a first study, a neural network pre-trained using cardiac CINE data sets was evaluated for segmentation of PSIR data sets. In a second step, radiomic features were applied for segmental detection of LGE of the same data sets, which were provided multicenter via the IRP. RESULTS First results show the advantages (data transparency, reliability, broad involvement of all members, continuous evolution as well as validation and certification) of this platform-based approach. In the proof-of-concept study, the neural network demonstrated a Dice coefficient of 0.813 compared to the expert's segmentation of the myocardium. In the segment-based myocardial LGE detection, the AUC was 0.73 and 0.79 after exclusion of segments with uncertain annotation.The evaluation and provision of the data takes place at the IRP, taking into account the FAT (fairness, accountability, transparency) and FAIR (findable, accessible, interoperable, reusable) criteria. CONCLUSION It could be shown that the DRG-ÖRP IRP can be used as a crystallization point for the generation of further individual and joint projects. The execution of quantitative analyses with artificial intelligence methods is greatly facilitated by the platform approach of the DRG-ÖRP IRP, since pre-trained neural networks can be integrated and scientific groups can be networked.In a first proof-of-concept study on automated segmentation of the myocardium and automated myocardial LGE detection, these advantages were successfully applied.Our study shows that with the DRG-ÖRP IRP, strategic goals can be implemented in an interdisciplinary way, that concrete proof-of-concept examples can be demonstrated, and that a large number of individual and joint projects can be realized in a participatory way involving all groups. KEY POINTS · The DRG-ÖRG IRP is a web/cloud-based radiomics platform based on a public-private partnership.. · The DRG-ÖRG IRP can be used for the creation of quality-assured, structured image data in combination with clinical data and subsequent integrated data analysis.. · First results show the applicability of left ventricular myocardial segmentation using a neural network and segment-based LGE detection using radiomic image features.. · The DRG-ÖRG IRP offers the possibility of integrating pre-trained neural networks and networking of scientific groups.. CITATION FORMAT · Overhoff D, Kohlmann P, Frydrychowicz A et al. The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies. Fortschr Röntgenstr 2021; 193: 276 - 287.
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Affiliation(s)
- Daniel Overhoff
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Peter Kohlmann
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Alex Frydrychowicz
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Germany
| | - Sergios Gatidis
- Department of Diagnostic and Interventional Radiology, University-Hospital Tübingen, Germany
| | - Christian Loewe
- Department of Radiology, Medical University of Vienna, Austria
| | - Jan Moltz
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | | | - Matthias Gutberlet
- Department of Diagnostic and Interventional Radiology, Leipzig Heart Centre University Hospital, Leipzig, Germany
| | - H Winter
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Martin Völker
- German Roentgen Society "Deutsche Röntgengesellschaft", Berlin, Germany
| | - Horst Hahn
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
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Pianykh OS, Langs G, Dewey M, Enzmann DR, Herold CJ, Schoenberg SO, Brink JA. Continuous Learning AI in Radiology: Implementation Principles and Early Applications. Radiology 2020; 297:6-14. [DOI: 10.1148/radiol.2020200038] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Attenberger UI, Tavakoli A, Stocker D, Stieb S, Riesterer O, Turina M, Schoenberg SO, Pilz L, Reiner CS. Reduced and standard field-of-view diffusion weighted imaging in patients with rectal cancer at 3 T-Comparison of image quality and apparent diffusion coefficient measurements. Eur J Radiol 2020; 131:109257. [PMID: 32947092 DOI: 10.1016/j.ejrad.2020.109257] [Citation(s) in RCA: 4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/30/2020] [Accepted: 08/24/2020] [Indexed: 01/03/2023]
Abstract
PURPOSE To compare a zoomed EPI-DWI (z-EPI) with a standard EPI-DWI (s-EPI) in the primary diagnostics of rectal cancer and assess its potential of reduced image artifacts. METHOD 22 therapy-naïve patients with rectal cancer underwent rectal MRI at a 3 T-system. The protocols consisted of a z-EPI DWI and s-EPI DWI sequence. Images were assessed by two independent and experienced readers regarding overall image quality and artifacts on a 5-point Likert scale, as well as overall sequence preference. In a lesion-based analysis, tumor and lymph node detection were rated on a 4-point Likert scale. Apparent diffusion coefficient (ADC) measurements were performed. RESULTS Overall Image quality score for z-EPI and s-EPI showed no statistically significant differences (p = 0.80/0.54, reader 1/2) with a median score of 4 ("good" image quality) for both sequences. The image quality preference rank for z-EPI and s-EPI was given the category 'no preference' in 64 % (reader 1) and 50 % (reader 2). Most artifact-related scores (susceptibility, motion and distortion) did not show reproducible significant differences between z-EPI and s-EPI. The two sequences exhibited comparable, mostly good and excellent quality scores for tumor and lymph node detection (p = 0.19-0.99). ADC values were significantly lower for z-EPI than for s-EPI (p = 0.001/0.002, reader 1/2) with good agreement of ADC measurements between both readers. CONCLUSION Our data showed comparable image quality and lesion detection for the z-EPI and the s-EPI sequence in MRI of rectal cancer, whereas the mean ADC of the tumor was significantly lower in z-EPI compared to s-EPI.
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Affiliation(s)
- U I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
| | - A Tavakoli
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim, Germany; Department of Radiology, German Cancer Research Center (DKFZ), Germany.
| | - D Stocker
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
| | - S Stieb
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - O Riesterer
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.
| | - M Turina
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland.
| | - S O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim, Germany.
| | - L Pilz
- Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
| | - C S Reiner
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
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Scherl C, Stratemeier J, Karle C, Rotter N, Hesser J, Huber L, Dias A, Hoffmann O, Riffel P, Schoenberg SO, Schell A, Lammert A, Affolter A, Männle D. Augmented reality with HoloLens in parotid surgery: how to assess and to improve accuracy. Eur Arch Otorhinolaryngol 2020; 278:2473-2483. [PMID: 32910225 DOI: 10.1007/s00405-020-06351-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [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: 07/26/2020] [Accepted: 08/31/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE Augmented reality improves planning and execution of surgical procedures. The aim of this study was to evaluate the feasibility of a 3D augmented reality hologram in live parotic surgery. Another goal was to develop an accuracy measuring instrument and to determine the accuracy of the system. METHODS We created a software to build and manually align 2D and 3D augmented reality models generated from MRI data onto the patient during surgery using the HoloLens® 1 (Microsoft Corporation, Redmond, USA). To assess the accuracy of the system, we developed a specific measuring tool applying a standard electromagnetic navigation device (Fiagon GmbH, Hennigsdorf, Germany). RESULTS The accuracy of our system was measured during real surgical procedures. Training of the experimenters and the use of fiducial markers significantly reduced the accuracy of holographic system (p = 0.0166 and p = 0.0132). Precision of the developed measuring system was very high with a mean error of the basic system of 1.3 mm. Feedback evaluation demonstrated 86% of participants agreed or strongly agreed that the HoloLens will play a role in surgical education. Furthermore, 80% of participants agreed or strongly agreed that the HoloLens is feasible to be introduced in clinical routine and will play a role within surgery in the future. CONCLUSION The use of fiducial markers and repeated training reduces the positional error between the hologram and the real structures. The developed measuring device under the use of the Fiagon navigation system is suitable to measure accuracies of holographic augmented reality images of the HoloLens.
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Affiliation(s)
- Claudia Scherl
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
| | - Johanna Stratemeier
- Institute of Experimental Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Celine Karle
- Institute of Experimental Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Nicole Rotter
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Jürgen Hesser
- Institute of Experimental Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Lena Huber
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Andre Dias
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Oliver Hoffmann
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Philipp Riffel
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Angela Schell
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Anne Lammert
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Annette Affolter
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - David Männle
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
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Schulte N, Li M, Zhan T, Dreikhausen L, Sollors J, Antoni C, Diehl S, Schoenberg SO, Rahbari N, Reissfelder C, Giordano FA, Ebert MP, Teufel A. Response of advanced HCC to pembrolizumab and lenvatinib combination therapy despite monotherapy failure. Z Gastroenterol 2020; 58:773-777. [PMID: 32785913 DOI: 10.1055/a-1190-5681] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In recent years, immune checkpoint inhibitors (ICIs) were successfully introduced to cancer therapy, and these drugs have already become essential for the treatment of various noncurable tumors. However, monotherapy in advanced hepatocellular carcinoma (aHCC) failed to show statistically significant improvement.Recently, the combination of atezolizumab and bevacizumab demonstrated efficacy of combining ICI and VEGF inhibition, further substantiating previous data on synergistic mechanisms among respective substance classes.As TKI treatment is currently standard of care for aHCC, and ICIs are approved by the FDA and available in many areas of the world, numerous patients may have been treated with monotherapy of those drugs. However, it remains unclear if failure to monotherapy has an impact on combination therapy. We therefore report a patient well responding to combination therapy despite previous failures to TKI and ICI monotherapy.
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Affiliation(s)
- Nadine Schulte
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Moying Li
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Tianzuo Zhan
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lena Dreikhausen
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Janina Sollors
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christoph Antoni
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Steffen Diehl
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan O Schoenberg
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Nuh Rahbari
- Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christoph Reissfelder
- Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frank A Giordano
- Department of Radiation Oncology, University Hospital Bonn, Bonn, Germany
| | - Matthias P Ebert
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas Teufel
- Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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