1
|
Cundari G, Deilmann P, Mergen V, Ciric K, Eberhard M, Jungblut L, Alkadhi H, Higashigaito K. Saving Contrast Media in Coronary CT Angiography with Photon-Counting Detector CT. Acad Radiol 2024; 31:212-220. [PMID: 37532596 DOI: 10.1016/j.acra.2023.06.025] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/10/2023] [Accepted: 06/24/2023] [Indexed: 08/04/2023]
Abstract
RATIONALE AND OBJECTIVES To determine the optimal virtual monoenergetic image (VMI) energy level and the potential of contrast-media (CM) reduction for coronary computed tomography angiography (CCTA) with photon-counting detector CT (PCD-CT). MATERIALS AND METHODS In this institutional review board-approved study, patients who underwent CCTA with dual-source PCD-CT with an identical scan protocol and radiation dose were included. In group 1, CCTA was performed with our standard CM protocol (volume: 72-85.2 mL, 370 mg iodine/mL). VMIs were reconstructed from 40 to 60 keV at 5 keV increments. Objective image quality (IQ) (vascular attenuation, image noise, and contrast-to-noise ratio [CNR]) was measured. Two blinded, independent readers rated subjective IQ (overall IQ, subjective image contrast, and subjective noise using a five-point discrete visual scale). Results of group 1 served to determine the best VMI level for CCTA. In group 2, CM volume was reduced by 20%, and in group 3 by another 20%. RESULTS A total of 100 patients were enrolled (45 females, mean age 54 ± 13 years). Inter-reader agreement was good-to-excellent for all comparisons (κ > 0.6). In group 1, the best VMI level regarding objective and subjective IQ was 45 keV, which was selected as the reference for groups 2 and 3. For group 2, mean vascular attenuation was 890 Hounsfield units (HU) and mean CNR was 26, with no differences compared to group 1, 45 keV for both objective and subjective IQ. For group 3, mean vascular attenuation was 676 HU and mean CNR was 21, and all patients were rated as diagnostic except one (severe motion artifacts). CONCLUSION Increased IQ of PCD-CT can be used for considerable CM volume reduction while still maintaining a diagnostic IQ of CCTA.
Collapse
Affiliation(s)
- Giulia Cundari
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.); Department of Radiological, Oncological and Anatomopathological Sciences, Sapienza University of Rome, Rome, Italy (G.C.)
| | - Philipp Deilmann
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.)
| | - Victor Mergen
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.)
| | - Kristina Ciric
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.)
| | - Matthias Eberhard
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.); Department of Radiology, Spital Interlaken, Spitäler fmi AG, Unterseen, Switzerland (M.E.)
| | - Lisa Jungblut
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.)
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.)
| | - Kai Higashigaito
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistr. 100, CH-8091, Zurich, Switzerland (G.C., P.D., V.M., K.C., M.E., L.J., H.A., K.H.).
| |
Collapse
|
2
|
Mergen V, Sartoretti T, Cundari G, Serifovic M, Higashigaito K, Allmendinger T, Schmidt B, Flohr T, Manka R, Eberhard M, Alkadhi H. The Importance of Temporal Resolution for Ultra-High-Resolution Coronary Angiography: Evidence From Photon-Counting Detector CT. Invest Radiol 2023; 58:767-774. [PMID: 37222522 DOI: 10.1097/rli.0000000000000987] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
PURPOSE The aim of this study was to assess the effect of temporal resolution on subjective and objective image quality of coronary computed tomography angiography (CCTA) in the ultra-high-resolution (UHR) mode with dual-source photon-counting detector (PCD) CT. MATERIALS AND METHODS This retrospective, institutional review board-approved study evaluated 30 patients (9 women; mean age, 80 ± 10 years) undergoing UHR CCTA with a clinical dual-source PCD-CT scanner. Images were acquired with a tube voltage of 120 kV and using a collimation of 120 × 0.2 mm. Gantry rotation time was 0.25 seconds. Each scan was reconstructed using both single-source and dual-source data resulting in an image temporal resolution of 125 milliseconds and 66 milliseconds, respectively. The average heart rate and the heart rate variability were recorded. Images were reconstructed with a slice thickness of 0.2 mm, quantum iterative reconstruction strength level 4, and using the Bv64 and Bv72 kernel for patients without and with coronary stents, respectively. For subjective image quality, 2 experienced readers rated motion artifacts and vessel delineation, or in-stent lumen visualization using 5-point discrete visual scales. For objective image quality, signal-to-noise ratio, contrast-to-noise ratio, stent blooming artifacts, and vessel and stent sharpness were quantified. RESULTS Fifteen patients had coronary stents, and 15 patients had no coronary stents. The mean heart rate and heart rate variability during data acquisition were 72 ± 10 beats per minute and 5 ± 6 beats per minute, respectively. Subjective image quality in the right coronary artery, left anterior descending, and circumflex artery was significantly superior in 66 milliseconds reconstructions compared with 125 milliseconds reconstructions for both readers (all P 's < 0.01; interreader agreement, Krippendorff α = 0.84-1.00). Subjective image quality deteriorated significantly at higher heart rates for 125 milliseconds (ρ = 0.21, P < 0.05) but not for 66 milliseconds reconstructions (ρ = 0.11, P = 0.22). No association was found between heart rate variability and image quality for both 125 milliseconds (ρ = 0.09, P = 0.33) and 66 milliseconds reconstructions (ρ = 0.13, P = 0.17), respectively. Signal-to-noise ratio and contrast-to-noise ratio were similar between 66 milliseconds and 125 milliseconds reconstructions (both P 's > 0.05), respectively. Stent blooming artifacts were significantly lower on 66 milliseconds than on 125 milliseconds reconstructions (46.7% ± 10% vs 52.9% ± 8.9%, P < 0.001). Higher sharpness was found in 66 milliseconds than in 125 milliseconds reconstructions both in native coronary arteries (left anterior descending artery: 1031 ± 265 ∆HU/mm vs 819 ± 253 ∆HU/mm, P < 0.01; right coronary artery: 884 ± 352 ∆HU/mm vs 654 ± 377 ∆HU/mm, P < 0.001) and stents (5318 ± 3874 ∆HU/mm vs 4267 ± 3521 ∆HU/mm, P < 0.001). CONCLUSIONS Coronary angiography with PCD-CT in the UHR mode profits considerably from a high temporal resolution, resulting in less motion artifacts, superior vessel delineation and in-stent lumen visualization, less stent blooming artifacts, and superior vessel and stent sharpness.
Collapse
Affiliation(s)
- Victor Mergen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland (V.M., T.S., G.C., M.S., K.H., R.M., M.E., H.A.); Department of Radiological, Oncological, and Anatomopathological Sciences, Sapienza University of Rome, Rome, Italy (G.C.); Siemens Healthcare GmbH, Computed Tomography, Forchheim, Germany (T.A., B.S., T.F.); and Institute of Radiology, Spitäler fmi AG, Spital Interlaken, Unterseen, Switzerland (M.E.)
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Higashigaito K, Mergen V, Eberhard M, Jungblut L, Hebeisen M, Rätzer S, Zanini B, Kobe A, Martini K, Euler A, Alkadhi H. CT Angiography of the Aorta Using Photon-counting Detector CT with Reduced Contrast Media Volume. Radiol Cardiothorac Imaging 2023; 5:e220140. [PMID: 36860835 PMCID: PMC9969214 DOI: 10.1148/ryct.220140] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [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: 07/02/2022] [Revised: 12/04/2022] [Accepted: 12/14/2022] [Indexed: 01/27/2023]
Abstract
Purpose To develop and evaluate a low-volume contrast media protocol for thoracoabdominal CT angiography (CTA) with photon-counting detector (PCD) CT. Materials and Methods This prospective study included consecutive participants (April-September 2021) who underwent CTA with PCD CT of the thoracoabdominal aorta and previous CTA with energy-integrating detector (EID) CT at equal radiation doses. In PCD CT, virtual monoenergetic images (VMI) were reconstructed in 5-keV intervals from 40 to 60 keV. Attenuation of the aorta, image noise, and contrast-to-noise ratio (CNR) were measured, and subjective image quality was rated by two independent readers. In the first group of participants, the same contrast media protocol was used for both scans. CNR gain in PCD CT compared with EID CT served as the reference for contrast media volume reduction in the second group. Noninferiority analysis was used to test noninferior image quality of the low-volume contrast media protocol with PCD CT. Results The study included 100 participants (mean age, 75 years ± 8 [SD]; 83 men). In the first group (n = 40), VMI at 50 keV provided the best trade-off between objective and subjective image quality, achieving 25% higher CNR compared with EID CT. Contrast media volume in the second group (n = 60) was reduced by 25% (52.5 mL). Mean differences in CNR and subjective image quality between EID CT and PCD CT at 50 keV were above the predefined boundaries of noninferiority (-0.54 [95% CI: -1.71, 0.62] and -0.36 [95% CI: -0.41, -0.31], respectively). Conclusion CTA of the aorta with PCD CT was associated with higher CNR, which was translated into a low-volume contrast media protocol demonstrating noninferior image quality compared with EID CT at the same radiation dose.Keywords: CT Angiography, CT-Spectral, Vascular, Aorta, Contrast Agents-Intravenous, Technology Assessment© RSNA, 2023See also the commentary by Dundas and Leipsic in this issue.
Collapse
Affiliation(s)
- Kai Higashigaito
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Victor Mergen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Matthias Eberhard
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Lisa Jungblut
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Monika Hebeisen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Susan Rätzer
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Bettina Zanini
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Adrian Kobe
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Katharina Martini
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - André Euler
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Hatem Alkadhi
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| |
Collapse
|
4
|
Schenk P, Dimitriou D, Rahm S, Zimmermann SM, Finsterwald M, Higashigaito K, Sutter R, Zingg PO. Natural History of Degenerative Hip Abductor Tendon Lesions. Am J Sports Med 2023; 51:160-168. [PMID: 36412545 PMCID: PMC9810830 DOI: 10.1177/03635465221135759] [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] [Indexed: 11/23/2022]
Abstract
BACKGROUND The best treatment of degenerative hip abductor tendon lesions remains largely unknown, as the natural course of the disease has not yet been reported. The aim of the present study was to investigate the natural history of symptomatic degenerative hip abductor lesions. HYPOTHESIS Nonoperatively treated hip abductor lesions progress over time, resulting in refractory hip pain and low functional outcomes. STUDY DESIGN Case series (prognosis); Level of evidence, 4. METHODS Consecutive patients with greater trochanteric pain syndrome and degenerative changes on magnetic resonance imaging (MRI) of the symptomatic hip were included. Bilateral hip MRI scans and a clinical examination were performed at a minimum follow-up of 36 months to study the type and location of hip abductor lesion. Progression of a lesion was defined as a more severe lesion as compared with the initial MRI results or if the lesion extended to another, initially not involved, trochanteric facet. The muscle's fatty infiltration (FI) was also described. RESULTS From 106 patients identified, 58 patients (64 hips) aged 66 ± 14 years (mean ± SD) agreed to return to the clinic for follow-up MRI and met the inclusion criteria. At a mean 71-month follow-up, an overall 34% (22/64) of lesions had progressed over time: from trochanteric bursitis to tendinopathy (9/64, 14%) or partial tear (5/64, 8%), from tendinopathy to partial tear (4/64, 6%), from a partial to complete tear (3/64, 4.5%), and with 1 complete tear (1/64, 1.5%) extending to another trochanteric facet. Interestingly, 90% of partial tears remained stable or transformed into a scar. Although patients with a progressive lesion experienced more trochanteric pain (visual analog scale, 4.6 vs 2.8; P = .001), the functional outcomes were comparable with patients with a stable lesion. The majority of hips with a partial tear (64%) demonstrated a progression of gluteus minimus FI from a median grade of 1 to 2, whereas only 1 hip (3%) progressed from grade 2 to 3. Only 3 hips (9%) with a partial tear had a progression of gluteus medius FI, which did not differ significantly from the contralateral unaffected side. CONCLUSION Nonoperative treatment might be a valid long-term option for degenerative hip abductor lesions, especially for partial tears, which demonstrated a low risk of clinically relevant progression or muscle FI and similar clinical outcomes to those reported in the literature for operatively treated hip abductor tendon lesions.
Collapse
Affiliation(s)
- Pascal Schenk
- Department of Orthopedics, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland
| | - Dimitris Dimitriou
- Department of Orthopedics, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland,Dimitris Dimitriou, MD, Department of Orthopedics, University
Hospital Balgrist, University of Zürich, Forchstrasse 340, 8008, Zürich,
Switzerland ()
| | - Stefan Rahm
- Department of Orthopedics, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland
| | - Stefan M. Zimmermann
- Department of Orthopedics, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland
| | - Michael Finsterwald
- Department of Orthopedics, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland
| | - Kai Higashigaito
- Department of Radiology, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland
| | - Reto Sutter
- Department of Radiology, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland
| | - Patrick O. Zingg
- Department of Orthopedics, University
Hospital Balgrist, University of Zürich, Zürich, Switzerland
| |
Collapse
|
5
|
Sartoretti T, Landsmann A, Nakhostin D, Eberhard M, Roeren C, Mergen V, Higashigaito K, Raupach R, Alkadhi H, Euler A. Quantum Iterative Reconstruction for Abdominal Photoncounting Detector CT Improves Image Quality. Radiology 2022. [PMID: 35994401 DOI: 10.1148/radiol.213260:213260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
|
6
|
Sartoretti T, Landsmann A, Nakhostin D, Eberhard M, Roeren C, Mergen V, Higashigaito K, Raupach R, Alkadhi H, Euler A. Quantum Iterative Reconstruction for Abdominal Photoncounting Detector CT Improves Image Quality. Radiology 2022; 304:E55. [PMID: 35994401 DOI: 10.1148/radiol.229013] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
7
|
Mergen V, Racine D, Jungblut L, Sartoretti T, Bickel S, Monnin P, Higashigaito K, Martini K, Alkadhi H, Euler A. Virtual Noncontrast Abdominal Imaging with Photon-counting Detector CT. Radiology 2022; 305:107-115. [PMID: 35670712 DOI: 10.1148/radiol.213260] [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: 11/11/2022]
Abstract
Background Accurate CT attenuation and diagnostic quality of virtual noncontrast (VNC) images acquired with photon-counting detector (PCD) CT are needed to replace true noncontrast (TNC) scans. Purpose To assess the attenuation errors and image quality of VNC images from abdominal PCD CT compared with TNC images. Materials and Methods In this retrospective study, consecutive adult patients who underwent a triphasic examination with PCD CT from July 2021 to October 2021 were included. VNC images were reconstructed from arterial and portal venous phase CT. The absolute attenuation error of VNC compared with TNC images was measured in multiple structures by two readers. Then, two readers blinded to image reconstruction assessed the overall image quality, image noise, noise texture, and delineation of small structures using five-point discrete visual scales (5 = excellent, 1 = nondiagnostic). Overall image quality greater than or equal to 3 was deemed diagnostic. In a phantom, noise texture, spatial resolution, and detectability index were assessed. A detectability index greater than or equal to 5 indicated high diagnostic accuracy. Interreader agreement was evaluated using the Krippendorff α coefficient. The paired t test and Friedman test were applied to compare objective and subjective results. Results Overall, 100 patients (mean age, 72 years ± 10 [SD]; 81 men) were included. In patients, VNC image attenuation values were consistent between readers (α = .60), with errors less than 5 HU in 76% and less than 10 HU in 95% of measurements. There was no evidence of a difference in error of VNC images from arterial or portal venous phase CT (3.3 HU vs 3.5 HU, P = .16). Subjective image quality was rated lower in VNC images for all categories (all, P < .001). Diagnostic quality of VNC images was reached in 99% and 100% of patients for readers 1 and 2, respectively. In the phantom, VNC images exhibited 33% higher noise, blotchier noise texture, similar spatial resolution, and inferior but overall good image quality (detectability index >20) compared with TNC images. Conclusion Abdominal virtual noncontrast images from the arterial and portal venous phase of photon-counting detector CT yielded accurate CT attenuation and good image quality compared with true noncontrast images. © RSNA, 2022 Online supplemental material is available for this article See also the editorial by Sosna in this issue.
Collapse
Affiliation(s)
- Victor Mergen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Damien Racine
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Lisa Jungblut
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Thomas Sartoretti
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Steven Bickel
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Pascal Monnin
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Kai Higashigaito
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Katharina Martini
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - Hatem Alkadhi
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| | - André Euler
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (V.M., L.J., T.S., S.B., K.H., K.M., H.A., A.E.); and Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland (D.R., P.M.)
| |
Collapse
|
8
|
Mergen V, Sartoretti T, Klotz E, Schmidt B, Jungblut L, Higashigaito K, Manka R, Euler A, Kasel M, Eberhard M, Alkadhi H. Extracellular Volume Quantification With Cardiac Late Enhancement Scanning Using Dual-Source Photon-Counting Detector CT. Invest Radiol 2022; 57:406-411. [PMID: 35066531 PMCID: PMC9390230 DOI: 10.1097/rli.0000000000000851] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 11/12/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVES The aim of this study was to evaluate the feasibility and accuracy of cardiac late enhancement (LE) scanning for extracellular volume (ECV) quantification with dual-source photon-counting detector computed tomography (PCD-CT). MATERIALS AND METHODS In this institutional review board-approved study, 30 patients (mean age, 79 years; 12 women; mean body mass index, 28 kg/m2) with severe aortic stenosis undergoing PCD-CT as part of their preprocedural workup for transcatheter aortic valve replacement were included. The scan protocol consisted of a nonenhanced calcium-scoring scan, coronary CT angiography (CTA) followed by CTA of the thoracoabdominal aorta, and a low-dose LE scan 5 minutes after the administration of 100 mL contrast media (all scans electrocardiogram-gated). Virtual monoenergetic (65 keV) and dual-energy (DE) iodine images were reconstructed from the LE scan. Extracellular volume was calculated using the iodine ratios of myocardium and blood-pool of the LE scan, and additionally based on single-energy (SE) subtraction of the nonenhanced scan from the LE scan. Three-dimensional analysis was performed automatically for the whole-heart myocardial volume by matching a heart model generated from the respective coronary CTA data. Bland-Altman and correlation analysis were used to compare the ECV values determined by both methods. RESULTS The median dose length product for the LE scan was 84 mGy·cm (interquartile range, 69; 125 mGy·cm). Extracellular volume quantification was feasible in all patients. The median ECV value was 30.5% (interquartile range, 28.4%-33.6%). Two focal ECV elevations matched known prior myocardial infarction. The DE- and SE-based ECV quantification correlated well (r = 0.87, P < 0.001). Bland-Altman analysis showed small mean errors between DE- and SE-based ECV quantification (0.9%; 95% confidence interval, 0.1%-1.6%) with narrow limits of agreement (-3.3% to 5.0%). CONCLUSIONS Dual-source PCD-CT enables accurate ECV quantification using an LE cardiac DE scan at low radiation dose. Extracellular volume calculation from iodine ratios of the LE scan obviates the need for acquisition of a true nonenhanced scan and is not affected by potential misregistration between 2 separate scans.
Collapse
Affiliation(s)
- Victor Mergen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Thomas Sartoretti
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | | | | | - Lisa Jungblut
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Kai Higashigaito
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Robert Manka
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - André Euler
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Markus Kasel
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Eberhard
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Hatem Alkadhi
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| |
Collapse
|
9
|
Higashigaito K, Euler A, Eberhard M, Flohr TG, Schmidt B, Alkadhi H. Contrast-Enhanced Abdominal CT with Clinical Photon-Counting Detector CT: Assessment of Image Quality and Comparison with Energy-Integrating Detector CT. Acad Radiol 2022; 29:689-697. [PMID: 34389259 DOI: 10.1016/j.acra.2021.06.018] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 06/28/2021] [Accepted: 06/30/2021] [Indexed: 02/07/2023]
Abstract
RATIONALE AND OBJECTIVES To determine quantitative and qualitative image quality of contrast-enhanced abdominal photon-counting detector CT (PCD-CT) compared to energy-integrating detector CT (EID-CT) in the same patients. MATERIAL AND METHODS Thirty-nine patients (mean age 63 ± 10 years, 10 females, mean BMI 26.0 ± 5.7 kg/m2) were retrospectively included who underwent clinically indicated, contrast-enhanced abdominal CT in portal-venous phase with first-generation dual-source PCD-CT and who underwent previous abdominal CT with EID-CT. For both scan, same contrast media protocol was used. PCD-CT was performed in QuantumPlus mode (obtaining full spectral information) at 120kVp. EID-CT was performed using automated tube voltage selection (reference tube voltage 100kVp). In PCD-CT, virtual monoenergetic images (VMI) were reconstructed in 10keV intervals (40-90 keV). Tube current-time product in PCD-CT was modified in each patient to obtain same volume CT-dose-index (CTDIvol) as with EID-CT. Attenuation of organs and vascular structures were measured, noise quantified, and contrast-to-noise ratio (CNR) calculated. Two independent, blinded radiologists assessed subjective image quality using a 5-point Likert scale (overall image quality, image noise, contrast, and liver lesion conspicuity). RESULTS Median time interval between the scan was 12 months. BMI (p = 0.905) and CTDIvol (p = 0.984) were similar between scans. CNRparenchymal and CNRvascular of VMI from PCD-CT at 40 and 50keV were significantly higher than EID-CT (all, p < 0.05). Overall, inter-reader agreement for all subjective image quality readings was substantial (Krippendorff's alpha = 0.773). Overall image quality of VMI was rated similar at 50 and 60 keV compared to EID-CT (all, p > 0.05). Subjective image noise was significantly higher at 40-50 keV, contrast significantly higher at 40-60 keV (all, p < 0.05). Lesion conspicuity was rated similar on all images. CONCLUSION Our intra-individual analysis of abdominal PCD-CT indicates that VMI at 50 keV shows significantly higher CNR at similar subjective image quality as compared to EID-CT at identical radiation dose.
Collapse
|
10
|
Sartoretti T, Landsmann A, Nakhostin D, Eberhard M, Röeren C, Mergen V, Higashigaito K, Raupach R, Alkadhi H, Euler A. Quantum Iterative Reconstruction for Abdominal Photon-counting Detector CT Improves Image Quality. Radiology 2022; 303:339-348. [PMID: 35103540 DOI: 10.1148/radiol.211931] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background An iterative reconstruction (IR) algorithm was introduced for clinical photon-counting detector (PCD) CT. Purpose To investigate the image quality and the optimal strength level of a quantum IR algorithm (QIR; Siemens Healthcare) for virtual monoenergetic images and polychromatic images (T3D) in a phantom and in patients undergoing portal venous abdominal PCD CT. Materials and Methods In this retrospective study, noise power spectrum (NPS) was measured in a water-filled phantom. Consecutive oncologic patients who underwent portal venous abdominal PCD CT between March and April 2021 were included. Virtual monoenergetic images at 60 keV and T3D were reconstructed without QIR (QIR-off; reference standard) and with QIR at four levels (QIR 1-4; index tests). Global noise index, contrast-to-noise ratio (CNR), and voxel-wise CT attenuation differences were measured. Noise and texture, artifacts, diagnostic confidence, and overall quality were assessed qualitatively. Conspicuity of hypodense liver lesions was rated by four readers. Parametric (analyses of variance, paired t tests) and nonparametric tests (Friedman, post hoc Wilcoxon signed-rank tests) were used to compare quantitative and qualitative image quality among reconstructions. Results In the phantom, NPS showed unchanged noise texture across reconstructions with maximum spatial frequency differences of 0.01 per millimeter. Fifty patients (mean age, 59 years ± 16 [standard deviation]; 31 women) were included. Global noise index was reduced from QIR-off to QIR-4 by 45% for 60 keV and by 44% for T3D (both, P < .001). CNR of the liver improved from QIR-off to QIR-4 by 74% for 60 keV and by 69% for T3D (both, P < .001). No evidence of difference was found in mean attenuation of fat and liver (P = .79-.84) and on a voxel-wise basis among reconstructions. Qualitatively, QIR-4 outperformed all reconstructions in every category for 60 keV and T3D (P value range, <.001 to .01). All four readers rated QIR-4 superior to other strengths for lesion conspicuity (P value range, <.001 to .04). Conclusion In portal venous abdominal photon-counting detector CT, an iterative reconstruction algorithm (QIR; Siemens Healthcare) at high strength levels improved image quality by reducing noise and improving contrast-to-noise ratio and lesion conspicuity without compromising image texture or CT attenuation values. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Sinitsyn in this issue.
Collapse
Affiliation(s)
- Thomas Sartoretti
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Anna Landsmann
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Dominik Nakhostin
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Matthias Eberhard
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Christian Röeren
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Victor Mergen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Kai Higashigaito
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Rainer Raupach
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - Hatem Alkadhi
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| | - André Euler
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland (T.S., A.L., D.N., M.E., C.R., V.M., K.H., H.A., A.E.); Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands (T.S.); and Siemens Healthcare, Forchheim, Germany (R.R.)
| |
Collapse
|
11
|
Euler A, Higashigaito K, Mergen V, Sartoretti T, Zanini B, Schmidt B, Flohr TG, Ulzheimer S, Eberhard M, Alkadhi H. High-Pitch Photon-Counting Detector Computed Tomography Angiography of the Aorta: Intraindividual Comparison to Energy-Integrating Detector Computed Tomography at Equal Radiation Dose. Invest Radiol 2022; 57:115-121. [PMID: 34352805 DOI: 10.1097/rli.0000000000000816] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE The aims of this study were to determine the objective and subjective image quality of high-pitch computed tomography (CT) angiography of the aorta in clinical dual-source photon-counting detector CT (PCD-CT) and to compare the image quality to conventional dual-source energy-integrating detector CT (EID-CT) in the same patients at equal radiation dose. MATERIALS AND METHODS Patients with prior CT angiography of the thoracoabdominal aorta acquired on third-generation dual-source EID-CT in the high-pitch mode and with automatic tube voltage selection (ATVS, reference tube voltage 100 kV) were included. Follow-up imaging was performed on a first-generation, clinical dual-source PCD-CT scanner in the high-pitch and multienergy (QuantumPlus) mode at 120 kV using the same contrast media protocol as with EID-CT. Radiation doses between scans were matched by adapting the tube current of PCD-CT. Polychromatic images for both EID-CT and PCD-CT (called T3D) and virtual monoenergetic images at 40, 45, 50, and 55 keV for PCD-CT were reconstructed. Computed tomography attenuation was measured in the aorta; noise was defined as the standard deviation of attenuation; contrast-to-noise ratio (CNR) was calculated. Subjective image quality (noise, vessel attenuation, vessel sharpness, and overall quality) was rated by 2 blinded, independent radiologists. RESULTS Forty patients were included (mean age, 63 years; 8 women; mean body mass index [BMI], 26 kg/m2). There was no significant difference in BMI, effective diameter, or radiation dose between scans (all P's > 0.05). The ATVS in EID-CT selected 70, 80, 90, 100, 110, and 120 kV in 2, 14, 14, 7, 2, and 1 patients, respectively. Mean CNR was 17 ± 8 for EID-CT and 22 ± 7, 20 ± 6, 18 ± 5, 16 ± 5, and 12 ± 4 for PCD-CT at 40, 45, 50, 55 keV, and T3D, respectively. Contrast-to-noise ratio was significantly higher for 40 and 45 keV of PCD-CT as compared with EID-CT (both P's < 0.05). The linear regression model (adjusted R2, 0.38; P < 0.001) revealed that PCD-CT reconstruction (P < 0.001), BMI group (P = 0.007), and kV of the EID-CT scan (P = 0.01) were significantly associated with CNR difference, with an increase by 34% with PCD-CT for overweight as compared with normal weight patients. Subjective image quality reading revealed slight differences between readers for subjective vessel attenuation and sharpness, whereas subjective noise was rated significantly higher for 40 and 45 keV (P < 0.001) and overall quality similar (P > 0.05) between scans. CONCLUSIONS High-pitch PCD-CT angiography of the aorta with VMI at 40 and 45 keV resulted in significantly increased CNR compared with EID-CT with ATVS at matched radiation dose. The CNR gain of PCD-CT increased in overweight patients. Taking into account the subjective analysis, VMI at 45 to 50 keV is proposed as the best trade-off between objective and subjective image quality.
Collapse
Affiliation(s)
- André Euler
- From the Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Kai Higashigaito
- From the Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Victor Mergen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | | | - Bettina Zanini
- From the Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | | | | | | | - Matthias Eberhard
- From the Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- From the Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| |
Collapse
|
12
|
Higashigaito K, Fischer G, Jungblut L, Blüthgen C, Schwyzer M, Eberhard M, Dos Santos DP, Baessler B, Vuylsteke P, Soons JAM, Frauenfelder T. Comparison of detection of trauma-related injuries using combined "all-in-one" fused images and conventionally reconstructed images in acute trauma CT. Eur Radiol 2022; 32:3903-3911. [PMID: 35020010 DOI: 10.1007/s00330-021-08473-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/18/2021] [Accepted: 11/18/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To compare the accuracy of lesion detection of trauma-related injuries using combined "all-in-one" fused (AIO) and conventionally reconstructed images (CR) in acute trauma CT. METHODS In this retrospective study, trauma CT of 66 patients (median age 47 years, range 18-96 years; 20 female (30.3%)) were read using AIO and CR. Images were independently reviewed by 4 blinded radiologists (two residents and two consultants) for trauma-related injuries in 22 regions. Sub-analyses were performed to analyze the influence of experience (residents vs. consultants) and body region (chest, abdomen, skeletal structures) on lesion detection. Paired t-test was used to compare the accuracy of lesion detection. The effect size was calculated (Cohen's d). Linear mixed-effects model with patients as the fixed effect and random forest models were used to investigate the effect of experience, reconstruction/image processing, and body region on lesion detection. RESULTS Reading time of residents was significantly faster using AIO (AIO: 266 ± 72 s, CR: 318 ± 113 s; p < 0.001; d = 0.46) while no significant difference was observed in the accuracy of lesion detection (AIO: 93.5 ± 6.0%, CR: 94.6 ± 6.0% p = 0.092; d = - 0.21). Reading time of consultants showed no significant difference (AIO: 283 ± 82 s, CR: 274 ± 95 s; p = 0.067; d = 0.16). Accuracy was significantly higher using CR; however, the difference and effect size were very small (AIO 95.1 ± 4.9%, CR: 97.3 ± 3.7%, p = 0.002; d = - 0.39). The linear mixed-effects model showed only minor effect of image processing/reconstruction for lesion detection. CONCLUSIONS Residents at the emergency department might benefit from faster reading time without sacrificing lesion detection rate using AIO for trauma CT. KEY POINTS • Image fusion techniques decrease the reading time of acute trauma CT without sacrificing diagnostic accuracy.
Collapse
Affiliation(s)
- Kai Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.
| | - Gioia Fischer
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - Lisa Jungblut
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - Christian Blüthgen
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - Moritz Schwyzer
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - Matthias Eberhard
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - Daniel Pinto Dos Santos
- Institute of Diagnostic and Interventional Radiology, University of Cologne, Medical Faculty and University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany
| | - Bettina Baessler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - Pieter Vuylsteke
- Agfa Radiology Solutions, Septestraat 27, 2640, Mortsel, Belgium
| | - Joris A M Soons
- Agfa Radiology Solutions, Septestraat 27, 2640, Mortsel, Belgium
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| |
Collapse
|
13
|
Higashigaito K, Pfirrmann CWA, Koch S, Graf D, Schweizer A, Nanz D, Rosskopf AB. Ligaments of the scapho-trapezial-trapezoidal joint: MR anatomy in asymptomatic and symptomatic individuals. Skeletal Radiol 2022; 51:637-647. [PMID: 34309690 PMCID: PMC8763724 DOI: 10.1007/s00256-021-03865-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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/02/2021] [Accepted: 07/04/2021] [Indexed: 02/02/2023]
Abstract
PURPOSE To evaluate the MRI anatomy of the scapho-trapezial-trapezoidal (STT) ligament complex in asymptomatic and symptomatic individuals. MATERIAL AND METHODS In this retrospective study, STT ligament complex of 42 (male 69%, median age 37.5 years) asymptomatic (n = 25) and symptomatic (n = 17) (defined as pain described over the STT joint) individuals was examined using a high-resolution 3D proton density-weighted isovoxel sequence (MR arthrogram) with multiplanar reconstructions. Two musculoskeletal radiologists independently assessed visibility, signal intensity (SI), morphology, and thickness of the radiopalmar scapho-trapezial ligament (rpSTL), palmar scapho-capitate capsular ligament (pSCL), palmar STT capsule (pSTTC), and dorsal STT capsule (dSTTC). RESULTS Interreader agreement ranged from fair to good and intraclass correlations were good. The rpSTL was almost always visible (85.7%/80.1%; reader 1/reader 2). The pSCL and dSTTC were visible in all cases. The pSTTC was visible in only 52.4%/42.9%. Mean thickness of the rpSTL, pSCL, pSTTC, and dSTTC was 1.4 ± 0.5 mm/1.3 ± 0.5 mm, 2.8 ± 0.7 mm/2.7 ± 0.6 mm, 0.5 ± 0.5 mm/0.4 ± 0.4 mm, and 0.5 ± 0.3 mm/0.3 ± 0.3 mm. Both readers rated SI of the rpSTL significantly more often as increased in the symptomatic group (increased SI in asymptomatic group: 20%/15%; symptomatic group: 56%/50%) (p-values < 0.005). For all other ligaments, no significant difference was observed for SI between symptomatic and asymptomatic group (p-values ranging between 0.188 and 0.890). For all other ligaments, no significant differences were observed regarding ligament visibility, morphology, and thickness (p-values ranging between 0.274 and 1.000). CONCLUSION The anatomy of the STT ligament complex can consistently be visualized on high-resolution 3D MRI. Increased signal intensity of rpSTL is significantly more frequent in patients with radial-sided wrist pain.
Collapse
Affiliation(s)
- Kai Higashigaito
- Radiology, Balgrist University Hospital, Forchstrasse 340, 8008 Zurich, Switzerland ,Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Christian W. A. Pfirrmann
- Radiology, Balgrist University Hospital, Forchstrasse 340, 8008 Zurich, Switzerland ,MRI Medical Radiological Institute Zurich, Zurich, Switzerland
| | - Sarah Koch
- Radiology, Balgrist University Hospital, Forchstrasse 340, 8008 Zurich, Switzerland
| | - Dimitri Graf
- Radiology, Balgrist University Hospital, Forchstrasse 340, 8008 Zurich, Switzerland
| | - Andreas Schweizer
- Handsurgery, Balgrist University Hospital, Forchstrasse 340, 8008 Zurich, Switzerland
| | - Daniel Nanz
- Swiss Center for Musculoskeletal Imaging, Balgrist Campus AG, Zurich, Switzerland
| | - Andrea B. Rosskopf
- Radiology, Balgrist University Hospital, Forchstrasse 340, 8008 Zurich, Switzerland ,ARISTRA, Radiology, Zurich, Switzerland
| |
Collapse
|
14
|
Mergen V, Higashigaito K, Allmendinger T, Manka R, Euler A, Alkadhi H, Eberhard M. Tube voltage-independent coronary calcium scoring on a first-generation dual-source photon-counting CT-a proof-of-principle phantom study. Int J Cardiovasc Imaging 2021; 38:10.1007/s10554-021-02466-y. [PMID: 34780012 DOI: 10.1007/s10554-021-02466-y] [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] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 11/02/2021] [Indexed: 10/19/2022]
Abstract
To evaluate the accuracy of coronary artery calcium (CAC) scoring at various tube voltages and different monoenergetic image reconstructions on a first-generation dual-source photon-counting detector CT (PCD-CT). A commercially available anthropomorphic chest phantom with calcium inserts was scanned at different tube voltages (90 kV, Sn100kV, 120 kV, and Sn140kV) on a first-generation dual-source PCD-CT system with quantum technology using automatic exposure control with an image quality (IQ) level of 20. The same phantom was also scanned on a conventional energy-integrating detector CT (120 kV; weighted filtered back projection) for reference. Extension rings were used to emulate different patient sizes. Virtual monoenergetic images at 65 keV and 70 keV applying different levels of quantum iterative reconstruction (QIR) were reconstructed from the PCD-CT data sets. CAC scores were determined and compared to the reference. Radiation doses were noted. At an IQ level of 20, radiation doses ranged between 1.18 mGy and 4.64 mGy, depending on the tube voltage and phantom size. Imaging at 90 kV or Sn100kV was associated with a size-dependent radiation dose reduction between 23% and 48% compared to 120 kV. Tube voltage adapted image reconstructions with 65 keV and QIR 3 at 90 kV and with 70 keV and QIR 1 at Sn100kV allowed to calculate CAC scores comparable to conventional EID-CT scans with a percentage deviation of ≤ 5% for all phantom sizes. Our phantom study indicates that CAC scoring with dual-source PCD-CT is accurate at various tube voltages, offering the possibility of substantial radiation dose reduction.
Collapse
Affiliation(s)
- V Mergen
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - K Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | | | - R Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - A Euler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - H Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland
| | - M Eberhard
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.
| |
Collapse
|
15
|
Wobben LD, Codari M, Mistelbauer G, Pepe A, Higashigaito K, Hahn LD, Mastrodicasa D, Turner VL, Hinostroza V, Baumler K, Fischbein MP, Fleischmann D, Willemink MJ. Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection. Annu Int Conf IEEE Eng Med Biol Soc 2021; 2021:3912-3915. [PMID: 34892087 PMCID: PMC9261941 DOI: 10.1109/embc46164.2021.9631067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Patients with initially uncomplicated typeB aortic dissection (uTBAD) remain at high risk for developing late complications. Identification of morphologic features for improving risk stratification of these patients requires automated segmentation of computed tomography angiography (CTA) images. We developed three segmentation models utilizing a 3D residual U-Net for segmentation of the true lumen (TL), false lumen (FL), and false lumen thrombosis (FLT). Model 1 segments all labels at once, whereas model 2 segments them sequentially. Best results for TL and FL segmentation were achieved by model 2, with median (interquartiles) Dice similarity coefficients (DSC) of 0.85 (0.77-0.88) and 0.84 (0.82-0.87), respectively. For FLT segmentation, model 1 was superior to model 2, with median (interquartiles) DSCs of 0.63 (0.40-0.78). To purely test the performance of the network to segment FLT, a third model segmented FLT starting from the manually segmented FL, resulting in median (interquartiles) DSCs of 0.99 (0.98-0.99) and 0.85 (0.73-0.94) for patent FL and FLT, respectively. While the ambiguous appearance of FLT on imaging remains a significant limitation for accurate segmentation, our pipeline has the potential to help in segmentation of aortic lumina and thrombosis in uTBAD patients.Clinical relevance- Most predictors of aortic dissection (AD) degeneration are identified through anatomical modeling, which is currently prohibitive in clinical settings due to the timeintense human interaction. False lumen thrombosis, which often develops in patients with type B AD, has proven to show significant prognostic value for predicting late adverse events. Our automated segmentation algorithm offers the potential of personalized treatment for AD patients, leading to an increase in long-term survival.
Collapse
|
16
|
Higashigaito K, Pfirrmann CW, Koch S, Graf D, Schweizer A, Rosskopf AB, Nanz D. Ligaments of the Scaphotrapeziotrapezoidal Joint: MR Anatomy in Asymptomatic and Symptomatic Patients. Semin Musculoskelet Radiol 2021. [DOI: 10.1055/s-0041-1731564] [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]
|
17
|
Higashigaito K, Sailer AM, van Kuijk SMJ, Willemink MJ, Hahn LD, Hastie TJ, Miller DC, Fischbein MP, Fleischmann D. Aortic growth and development of partial false lumen thrombosis are associated with late adverse events in type B aortic dissection. J Thorac Cardiovasc Surg 2021; 161:1184-1190.e2. [PMID: 31839226 PMCID: PMC10552621 DOI: 10.1016/j.jtcvs.2019.10.074] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Revised: 09/13/2019] [Accepted: 10/02/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Patients with medically treated type B aortic dissection (TBAD) remain at significant risk for late adverse events (LAEs). We hypothesize that not only initial morphological features, but also their change over time at follow-up are associated with LAEs. MATERIALS AND METHODS Baseline and 188 follow-up computed tomography (CT) scans with a median follow-up time of 4 years (range, 10 days to 12.7 years) of 47 patients with acute uncomplicated TBAD were retrospectively reviewed. Morphological features (n = 8) were quantified at baseline and each follow-up. Medical records were reviewed for LAEs, which were defined according to current guidelines. To assess the effects of changes of morphological features over time, the linear mixed effects models were combined with Cox proportional hazards regression for the time-to-event outcome using a joint modeling approach. RESULTS LAEs occurred in 21 of 47 patients at a median of 6.6 years (95% confidence interval [CI], 5.1-11.2 years). Among the 8 investigated morphological features, the following 3 features showed strong association with LAEs: increase in partial false lumen thrombosis area (hazard ratio [HR], 1.39; 95% CI, 1.18-1.66 per cm2 increase; P < .001), increase of major aortic diameter (HR, 1.24; 95% CI, 1.13-1.37 per mm increase; P < .001), and increase in the circumferential extent of false lumen (HR, 1.05; 95% CI, 1.01-1.10 per degree increase; P < .001). CONCLUSIONS In medically treated TBAD, increases in aortic diameter, new or increased partial false lumen thrombosis area, and increases of circumferential extent of the false lumen are strongly associated with LAEs.
Collapse
Affiliation(s)
- Kai Higashigaito
- Stanford 3D and Quantitative Imaging Laboratory, Department of Radiology, Stanford University School of Medicine, Stanford, Calif; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, Calif
| | - Anna M Sailer
- Stanford 3D and Quantitative Imaging Laboratory, Department of Radiology, Stanford University School of Medicine, Stanford, Calif; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, Calif
| | - Sander M J van Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martin J Willemink
- Stanford 3D and Quantitative Imaging Laboratory, Department of Radiology, Stanford University School of Medicine, Stanford, Calif; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, Calif; Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lewis D Hahn
- Stanford 3D and Quantitative Imaging Laboratory, Department of Radiology, Stanford University School of Medicine, Stanford, Calif
| | - Trevor J Hastie
- Department of Statistics, Stanford University, Stanford, Calif
| | - D Craig Miller
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif
| | - Michael P Fischbein
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif
| | - Dominik Fleischmann
- Stanford 3D and Quantitative Imaging Laboratory, Department of Radiology, Stanford University School of Medicine, Stanford, Calif; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, Calif.
| |
Collapse
|
18
|
Berli MC, Higashigaito K, Götschi T, Pfirrmann CWA, Sutter R, Rosskopf AB. The "Balgrist Score" for evaluation of Charcot foot: a predictive value for duration of off-loading treatment. Skeletal Radiol 2021; 50:311-320. [PMID: 32699954 PMCID: PMC7736011 DOI: 10.1007/s00256-020-03541-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/30/2020] [Accepted: 07/05/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To develop a new magnetic resonance imaging(MRI) scoring system for evaluation of active Charcot foot and to correlate the score with a duration of off-loading treatment ≥ 90 days. METHODS An outpatient clinic database was searched retrospectively for MRIs of patients with active Charcot foot who completed off-loading treatment. Images were assessed by two radiologists (readers 1 and 2) and an orthopedic surgeon (reader 3). Sanders/Frykberg regions I-V were evaluated for soft tissue edema, bone marrow edema, erosions, subchondral cysts, joint destruction, fractures, and overall regional manifestation using a score according to degree of severity (0-3 points). Intraclass correlations (ICC) for interreader agreement and receiver operating characteristic analysis between MR findings and duration of off-loading-treatment were calculated. RESULTS Sixty-five feet in 56 patients (34 men) with a mean age of 62.4 years (range: 44.5-85.5) were included. Region III (reader 1/reader 2: 93.6/90.8%) and region II (92.3/90.8%) were most affected. The most common findings in all regions were soft tissue edema and bone marrow edema. Mean time between MRI and cessation of off-loading-treatment was 150 days (range: 21-405). The Balgrist Score was defined in regions II and III using soft tissue edema, bone marrow edema, joint destruction, and fracture. Interreader agreement for Balgrist Score was excellent: readers 1/2: ICC 0.968 (95% CI: 0.948, 0.980); readers 1/2/3: ICC 0.856 (0.742, 0.917). A cutoff of ≥ 9.0 points in Balgrist Score (specificity 72%, sensitivity 66%) indicated a duration of off-loading treatment ≥ 90 days. CONCLUSION The Balgrist Score is a new MR scoring system for assessment of active Charcot foot with excellent interreader agreement. The Balgrist Score can help to identify patients with off-loading treatment ≥ 90 days.
Collapse
Affiliation(s)
- Martin C. Berli
- grid.412373.00000 0004 0518 9682Orthopedic Surgery, Balgrist University Hospital, Forchstrasse 340, CH-8008 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Kai Higashigaito
- grid.7400.30000 0004 1937 0650Faculty of Medicine, University of Zurich, Zurich, Switzerland ,grid.412373.00000 0004 0518 9682Radiology, Balgrist University Hospital, Forchstrasse 340, CH-8008 Zurich, Switzerland
| | - Tobias Götschi
- grid.412373.00000 0004 0518 9682Unit for Clinical and Applied Research (UCAR), Balgrist University Hospital, Forchstrasse 340, CH-8008 Zurich, Switzerland ,grid.5801.c0000 0001 2156 2780Institute for Biomechanics, Swiss Federal Institute of Technology, Zurich, Switzerland
| | - Christian W. A. Pfirrmann
- grid.7400.30000 0004 1937 0650Faculty of Medicine, University of Zurich, Zurich, Switzerland ,grid.412373.00000 0004 0518 9682Radiology, Balgrist University Hospital, Forchstrasse 340, CH-8008 Zurich, Switzerland
| | - Reto Sutter
- grid.7400.30000 0004 1937 0650Faculty of Medicine, University of Zurich, Zurich, Switzerland ,grid.412373.00000 0004 0518 9682Radiology, Balgrist University Hospital, Forchstrasse 340, CH-8008 Zurich, Switzerland
| | - Andrea B. Rosskopf
- grid.7400.30000 0004 1937 0650Faculty of Medicine, University of Zurich, Zurich, Switzerland ,grid.412373.00000 0004 0518 9682Radiology, Balgrist University Hospital, Forchstrasse 340, CH-8008 Zurich, Switzerland
| |
Collapse
|
19
|
Hahn LD, Mistelbauer G, Higashigaito K, Koci M, Willemink MJ, Sailer AM, Fischbein M, Fleischmann D. CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning. Radiol Cardiothorac Imaging 2020; 2:e190179. [PMID: 33778582 DOI: 10.1148/ryct.2020190179] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/18/2019] [Accepted: 01/02/2020] [Indexed: 01/25/2023]
Abstract
Purpose To develop a segmentation pipeline for segmentation of aortic dissection CT angiograms into true and false lumina on multiplanar reformations (MPRs) perpendicular to the aortic centerline and derive quantitative morphologic features, specifically aortic diameter and true- or false-lumen cross-sectional area. Materials and Methods An automated segmentation pipeline including two convolutional neural network (CNN) segmentation algorithms was developed. The algorithm derives the aortic centerline, generates MPRs orthogonal to the centerline, and segments the true and false lumina. A total of 153 CT angiograms obtained from 45 retrospectively identified patients (mean age, 50 years; range, 22-79 years) were used to train (n = 103), validate (n = 22), and test (n = 28) the CNN pipeline. Accuracy was evaluated by using the Dice similarity coefficient (DSC). Segmentations were then used to derive the maximal diameter of test-set patients and cross-sectional area profiles of the true and false lumina. Results The segmentation pipeline yielded a mean DSC of 0.873 ± 0.056 for the true lumina and 0.894 ± 0.040 for the false lumina of test-set cases. Automated maximal diameter measurements correlated well with manual measurements (R 2 = 0.95). Profiles of cross-sectional diameter, true-lumen area, and false-lumen area over several follow-up examinations were derived. Conclusion A segmentation pipeline was used to accurately identify true and false lumina on CT angiograms of aortic dissection. These segmentations can be used to obtain diameter and other morphologic parameters for surveillance and risk stratification.Supplemental material is available for this article.© RSNA, 2020.
Collapse
Affiliation(s)
- Lewis D Hahn
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| | - Gabriel Mistelbauer
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| | - Kai Higashigaito
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| | - Martin Koci
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| | - Martin J Willemink
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| | - Anna M Sailer
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| | - Michael Fischbein
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| | - Dominik Fleischmann
- Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105
| |
Collapse
|
20
|
Willemink MJ, Maret E, Moneghetti KJ, Kim JB, Haddad F, Kobayashi Y, Nishi T, Nieman K, Cauwenberghs N, Kuznetsova T, Higashigaito K, Sailer AM, Yeung AC, Lee AM, Miller DC, Fischbein M, Fearon WF, Fleischmann D. Incremental Value of Aortomitral Continuity Calcification for Risk Assessment after Transcatheter Aortic Valve Replacement. Radiol Cardiothorac Imaging 2019; 1:e190067. [PMID: 33778530 DOI: 10.1148/ryct.2019190067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 08/10/2019] [Accepted: 09/05/2019] [Indexed: 11/11/2022]
Abstract
Purpose To investigate the association of aortomitral continuity calcification (AMCC) with all-cause mortality, postprocedural paravalvular leak (PVL), and prolonged hospital stay in patients undergoing transcatheter aortic valve replacement (TAVR). Materials and Methods The authors retrospectively evaluated 329 patients who underwent TAVR between March 2013 and March 2016. AMCC, aortic valve calcification (AVC), and coronary artery calcification (CAC) were quantified by using preprocedural CT. Pre-procedural Society of Thoracic Surgeons (STS) score was recorded. Associations between baseline AMCC, AVC, and CAC and 1-year mortality, PVL, and hospital stay longer than 7 days were analyzed. Results The median follow-up was 415 days (interquartiles, 344-727 days). After 1 year, 46 of the 329 patients (14%) died and 52 (16%) were hospitalized for more than 7 days. Of the 326 patients who underwent postprocedural echocardiography, 147 (45%) had postprocedural PVL. The CAC score (hazard ratio: 1.11 per 500 points) and AMCC mass (hazard ratio: 1.13 per 500 mg) were associated with 1-year mortality. AVC mass (odds ratio: 1.93 per 100 mg) was associated with postprocedural PVL. Only the STS score was associated with prolonged hospital stay (odds ratio: 1.19 per point). Conclusion AMCC is associated with mortality within 1 year after TAVR and substantially improves individual risk classification when added to a model consisting of STS score and AVC mass only.Supplemental material is available for this article.© RSNA, 2019See also the commentary by Brown and Leipsic in this issue.
Collapse
Affiliation(s)
- Martin J Willemink
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Eva Maret
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Kegan J Moneghetti
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Juyong Brian Kim
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Francois Haddad
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Yukari Kobayashi
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Takeshi Nishi
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Koen Nieman
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Nicholas Cauwenberghs
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Tatiana Kuznetsova
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Kai Higashigaito
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Anna M Sailer
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Alan C Yeung
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Anson M Lee
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - D Craig Miller
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Michael Fischbein
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - William F Fearon
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| | - Dominik Fleischmann
- Department of Radiology (M.J.W., E.M., K.H., A.M.S., D.F.), Stanford Cardiovascular Institute (M.J.W., E.M., K.J.M., J.B.K., F.H., Y.K., T.N., K.N., K.H., A.M.S., A.C.Y., A.M.L., D.C.M., M.F., W.F.F., D.F.), Division of Cardiovascular Medicine (J.B.K., F.H., Y.K., T.N., K.N., A.C.Y., W.F.F.), and Department of Cardiothoracic Surgery (A.M.L., D.C.M., M.F.), Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden (E.M.); and Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (N.C., T.K.)
| |
Collapse
|
21
|
Higashigaito K, Hinzpeter R, Baumueller S, Benz D, Manka R, Keller DI, Alkadhi H, Morsbach F. Chest pain CT in the emergency department: Watch out for the myocardium. Eur J Radiol Open 2018; 5:202-208. [PMID: 30456219 PMCID: PMC6232643 DOI: 10.1016/j.ejro.2018.10.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [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: 04/23/2018] [Accepted: 10/21/2018] [Indexed: 12/31/2022] Open
Abstract
Hypodense myocardium (HM) can be observed often in chest pain CT examinations of patients presenting to the emergency department with chest pain. There is benefit when the myocardium is also analyzed for the presence of HM, even when the heart and coronary arteries were not specifically asked-for. Sensitivity, specificity, PPV and NPV for the detection of acute myocardial infarction by assessing HM was 52%, 100%, 100% and 95% respectively. Assessment of hypodense myocardium may increase the diagnostic confidence in ambiguous coronary findings in chest pain CT.
Rationale and Objectives To evaluate the frequency and relevance of hypodense myocardium (HM) encountered in patients undergoing chest-pain CT in the emergency department (ED). Material and Methods In this IRB-approved retrospective study, ECG-gated chest-pain CT examinations of 300 consecutive patients (mean age 60 ± 17 years) presenting with acute chest-pain to our ED were evaluated. Once ST-segment elevation infarction was excluded, chest-pain CT including the coronary arteries (rule-out acute coronary syndrome (ACS), pulmonary embolism (PE) and acute aortic syndrome (AAS): chest-pain CTcoronary, n = 121) or not including the coronary arteries was performed (rule-out PE and AAS: chest-pain CTw/o coronary, n = 179). Each myocardial segment was assessed for the presence of HM; attenuation was measured and compared to normal myocardium. Results HM was identified in 27/300 patients (9%): 12/179 in chest-pain CTw/o coronary (7%) and 15/121 in chest-pain CTcoronary (12%). Mean attenuation of HM (40 ± 17 HU) was significantly lower than that of healthy myocardium (103 ± 18 HU, p < 0.001), with a mean difference of 61 ± 19 HU. In 15/27 patients (55.6%) with HM, the final diagnosis was acute MI, and in the remaining 12/27 patients (44.4%) previous MI was found in the patients’ history. Chest-pain CTw/o coronary identified HM in 10/15 patients (66.6%) with a final diagnosis of acute MI. Conclusion HM indicating acute MI are often encountered in chest pain CT in the ED, also in chest-pain CTw/o coronary when MI is not suspected. This indicates that the myocardium should always be analyzed for hypodense regions even when MI not suspected.
Collapse
Key Words
- AAC/AHA, American College of Cardiology / American Heart Association
- AAS, acute aortic syndrome
- ACS, acute coronary syndrome
- Acute chest pain
- BPM, beats per minute
- CAD, coronary artery disease
- CI, confidence interval
- CT, computed tomography
- CX, circumflex artery
- Cardiac
- Computed tomography
- ECG, electrocardiography
- ED, emergency department
- Emergency department
- HU, hounsfield unit
- ICC, intraclass correlation coefficients
- LAD, left anterior descending artery
- MH, hypodense myocardium
- MI, myocardial infarction
- NPV, negative predictive value
- NSTEMI, non-ST elevation myocardial infarction
- PE, pulmonary embolism
- PPV, positive predictive value
- RCA, right coronary artery
- ROI, region of interest
Collapse
Affiliation(s)
- Kai Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Ricarda Hinzpeter
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Stephan Baumueller
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - David Benz
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Robert Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.,Department of Cardiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Dagmar I Keller
- Institute for Emergency Medicine, University Hospital Zurich, University of Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Fabian Morsbach
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| |
Collapse
|
22
|
Morsbach F, Hinzpeter R, Higashigaito K, Benz D, Manka R, Keller DI, Alkadhi H. Chest pain CT in the Emergency Department: evaluating the coronary arteries even when not specifically asked for? Acta Radiol 2018; 59:1309-1315. [PMID: 29486599 DOI: 10.1177/0284185118758121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Computed tomography (CT) for excluding acute aortic syndrome (AAS) and pulmonary embolism (PE) simultaneously in patients with chest pain could be used to exclude coronary artery disease (CAD). Purpose To evaluate the frequency of further testing for CAD in patients receiving a CT in the emergency department (ED) for simultaneous evaluation for AAS and PE. Material and Methods This retrospective study was conducted over a three-year period including all patients with acute chest pain visiting our ED. All patients were included that received an electrocardiography (ECG)-gated CT of the entire chest enquiring simultaneously for AAS and PE. Those patients were followed up for 30 days after their initial ED visit whether they received further testing for CAD. Results Within the study period, a total of 157 patients with acute chest pain received a chest pain CT for simultaneous evaluation of both AAS and PE. Image quality was deemed sufficient to evaluate the coronary arteries in 80% of the patients. Thirty-seven patients (24%) underwent additional testing for CAD within 30 days of their ED visit, including catheter coronary angiography (n = 25), cardiac-stress single-photon emission-CT (n = 6), and cardiac magnetic resonance imaging (MRI) (n = 6). Conclusion Of patients presenting to the ED with acute chest pain who received a chest pain CT for simultaneous evaluation of AAS and PE, 24% had further imaging for CAD within 30 days of the initial ED visit. Immediate evaluation of the coronary arteries as part of a chest pain CT should be considered here for not delaying diagnosis.
Collapse
Affiliation(s)
- Fabian Morsbach
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Ricarda Hinzpeter
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Kai Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - David Benz
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Robert Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
- Department of Cardiology, University Heart Center Zurich, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Dagmar I Keller
- Institute for Emergency Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| |
Collapse
|
23
|
Willemink M, Maret E, Moneghetti K, Kim J, Haddad F, Kobayashi Y, Higashigaito K, Yeung A, Lee A, Miller DC, Fischbein M, Fearon W, Fleischmann D. PREDICTING MORTALITY WITH AORTOMITRAL CALCIFICATIONS IN 317 TAVR PATIENTS. J Am Coll Cardiol 2018. [DOI: 10.1016/s0735-1097(18)32132-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
|
24
|
Riffel P, Haubenreisser H, Higashigaito K, Alkadhi H, Morelli JN, Alber B, Schoenberg SO, Henzler T. Combined Static and Dynamic Computed Tomography Angiography of Peripheral Artery Occlusive Disease: Comparison with Magnetic Resonance Angiography. Cardiovasc Intervent Radiol 2018; 41:1205-1213. [PMID: 29484465 DOI: 10.1007/s00270-018-1911-6] [Citation(s) in RCA: 2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 02/17/2018] [Indexed: 10/17/2022]
Abstract
PURPOSE To compare in patients with known peripheral artery occlusive disease (PAOD), image quality of a combined CTA to a combined MRA protocol, including both static and dynamic acquisitions. MATERIALS AND METHODS Twenty-two patients with PAOD were examined with a combined CTA and MRA protocol consisting of static acquisitions (s-CTA, s-MRA) of the entire runoff and dynamic acquisitions (d-CTA, d-MRA) of the calves. Two radiologists compared image quality of the s-MRA versus s-CTA as well as d-MRA versus d-CTA. Image quality was assessed on a segmental basis using a 4-point Likert scale. RESULTS For s-CTA, 76% of segments were rated as excellent or good. For s-MRA, 50% of segments were rated as excellent or good (p < 0.0001). For d-CTA, median image quality score for all segments was rated as excellent for both readers. For d-MRA, median image quality for the different segments ranged from moderate to good. For both d-CTA and d-MRA, the median image quality scores were significantly higher for all segments of the lower limb compared with the static examinations of the lower limb segments (all p values < 0.0001). In patients with PAOD category 4-6, 80% of segments were rated as excellent or good for d-CTA, while 45% of segments were rated as poor or non-diagnostic for d-MRA. CONCLUSION In patients with known PAOD, a combined static and dynamic CTA examination improves image quality relative to static and dynamic MRA and should be considered as an alternative to MRA, particularly in patients with advanced stage PAOD.
Collapse
Affiliation(s)
- Philipp Riffel
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim - Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
| | - Holger Haubenreisser
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim - Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Kai Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | | | - Bettina Alber
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim - Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.,Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan O Schoenberg
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim - Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Thomas Henzler
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim - Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| |
Collapse
|
25
|
Amaxopoulou C, Gnannt R, Higashigaito K, Jung A, Kellenberger CJ. Structural and perfusion magnetic resonance imaging of the lung in cystic fibrosis. Pediatr Radiol 2018; 48:165-175. [PMID: 29143200 DOI: 10.1007/s00247-017-4021-8] [Citation(s) in RCA: 12] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 09/10/2017] [Accepted: 10/19/2017] [Indexed: 11/24/2022]
Abstract
BACKGROUND Because of its absence of ionising radiation and possibility for obtaining functional information, MRI is promising for assessing lung disease in children who require repetitive imaging for long-term follow-up. OBJECTIVE To describe MRI findings in children with cystic fibrosis and evaluate semi-quantitative dynamic contrast-enhanced lung perfusion. MATERIALS AND METHODS We retrospectively compared lung MRI in 25 children and young adults with cystic fibrosis (median age 3.7 years) to 12 children (median age 2 years) imaged for other pathologies. MRI at 1.5 T included respiratory-gated sequences and contrast-enhanced lung perfusion imaging. We described and graded any morphologic change. Signal enhancement and time to peak values of perfusion abnormalities were compared to those of normally enhancing lung parenchyma. RESULTS Frequent findings in patients with cystic fibrosis were bronchial wall thickening (24/25, 96%), areas of consolidation (22/25, 88%), enlarged lymph nodes (20/25, 80%), bronchiectasis (5/25, 20%) and mucus plugging (3/25, 12%). Compared to normally enhancing lung, perfusion defects (21/25, 84%), characterised by decreased enhancement, showed prolonged time to peak. Areas of consolidation showed increased enhancement. While time to peak of procedure-related atelectasis was not significantly different from that of normal lung, disease-related consolidation showed prolonged time to peak (P=0.01). CONCLUSION Lung MRI demonstrates structural and perfusion abnormalities in children and young people with cystic fibrosis. Semi-quantitative assessment of dynamic contrast-enhanced perfusion imaging might allow differentiation between procedure-related atelectasis and disease-related consolidation.
Collapse
Affiliation(s)
- Christina Amaxopoulou
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Steinwiesstr. 75, 8032, Zürich, CH, Switzerland. .,Children's Research Center, University Children's Hospital Zürich, Zürich, Switzerland.
| | - Ralph Gnannt
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Steinwiesstr. 75, 8032, Zürich, CH, Switzerland.,Children's Research Center, University Children's Hospital Zürich, Zürich, Switzerland
| | - Kai Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zürich, Zürich, Switzerland
| | - Andreas Jung
- Children's Research Center, University Children's Hospital Zürich, Zürich, Switzerland.,Division of Pneumology, University Children's Hospital Zürich, Zürich, Switzerland
| | - Christian J Kellenberger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Steinwiesstr. 75, 8032, Zürich, CH, Switzerland.,Children's Research Center, University Children's Hospital Zürich, Zürich, Switzerland
| |
Collapse
|
26
|
von Spiczak J, Manka R, Mannil M, Oebel S, Hamada S, Higashigaito K, Klotz E, Ruschitzka F, Alkadhi H. 3D fusion of coronary CT angiography and CT myocardial perfusion imaging: Intuitive assessment of morphology and function. J Cardiovasc Comput Tomogr 2017; 11:437-443. [DOI: 10.1016/j.jcct.2017.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 09/04/2017] [Indexed: 10/18/2022]
|
27
|
Martini K, Barth BK, Higashigaito K, Baumueller S, Alkadhi H, Frauenfelder T. Dose-Optimized Computed Tomography for Screening and Follow-Up of Solid Pulmonary Nodules in Obesity: A Phantom Study. Curr Probl Diagn Radiol 2017; 46:204-209. [DOI: 10.1067/j.cpradiol.2016.07.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 06/13/2016] [Accepted: 07/28/2016] [Indexed: 12/21/2022]
|
28
|
Hinzpeter R, Higashigaito K, Morsbach F, Benz D, Manka R, Seifert B, Keller DI, Alkadhi H. Coronary artery calcium scoring for ruling-out acute coronary syndrome in chest pain CT. Am J Emerg Med 2017; 35:1565-1567. [PMID: 28390834 DOI: 10.1016/j.ajem.2017.03.075] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 03/29/2017] [Accepted: 03/30/2017] [Indexed: 10/19/2022] Open
Affiliation(s)
- Ricarda Hinzpeter
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Kai Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Fabian Morsbach
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - David Benz
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Robert Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland; Department of Cardiology, University Heart Center Zurich, University of Zurich, Switzerland; Institute for Biomedical Engineering, University and ETH Zurich, Switzerland
| | - Burkhardt Seifert
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland
| | - Dagmar I Keller
- Institute for Emergency Medicine, University Hospital Zurich, University of Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
| |
Collapse
|
29
|
Martini K, Meier A, Higashigaito K, Saltybaeva N, Alkadhi H, Frauenfelder T. Prospective Randomized Comparison of High-pitch CT at 80 kVp Under Free Breathing with Standard-pitch CT at 100 kVp Under Breath-Hold for Detection of Pulmonary Embolism. Acad Radiol 2016; 23:1335-1341. [PMID: 27639625 DOI: 10.1016/j.acra.2016.07.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 07/18/2016] [Accepted: 07/19/2016] [Indexed: 12/11/2022]
Abstract
RATIONALE AND OBJECTIVES To prospectively compare high-pitch computed tomography (HPCT) under free breathing (FB) with standard-pitch CT (SPCT) under breath-hold (BH) for detection of pulmonary embolism (PE). MATERIALS AND METHODS One hundred consecutive patients (47 females; mean age 58.7 ± 16.6) randomly underwent HPCT-FB (n = 50) or SPCT-BH (n = 50). Radiation doses were documented. One reader measured pulmonary artery attenuation and noise; mean signal-to-noise ratio (SNR) was calculated. Two readers assessed image quality, diagnostic confidence for detection of PE, motion artifacts, assessability of anatomical structures, and presence of transient interruption of contrast as sign of Valsalva maneuver. Inter-reader agreement was calculated. RESULTS Radiation dose was significantly lower in HPCT compared to SPCT (2.68 ± 0.60 mGy vs 6.01 ± 2.26 mGy; P < .001). Mean pulmonary artery attenuation and image noise were significantly higher in HPCT (attenuation: 479 Hounsfield unit (HU) vs 343HU; P < .001; noise: 16 HU vs 10 HU; P < .001) whereas SNR was similar between groups (34 HU vs 38 HU; P = .258). HPCT had significantly higher diagnostic confidence for PE detection (P = .048), less cardiac and breathing artifacts (P < .001), better assessability of anatomical structures, and fewer cases of transient interruption of contrast (P < .001) compared to the SPCT. CONCLUSIONS HPCT-FB allows for a significant reduction of breathing and motion artifacts compared to SPCT-BH. Diagnostic confidence, assessability of vascular and bronchial structures, as well as SNR are maintained.
Collapse
Affiliation(s)
- K Martini
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland.
| | - A Meier
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland
| | - K Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland
| | - N Saltybaeva
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland
| | - H Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland
| | - T Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zürich, Switzerland
| |
Collapse
|
30
|
Higashigaito K, Schmid T, Puippe G, Morsbach F, Lachat M, Seifert B, Pfammatter T, Alkadhi H, Husarik DB. CT Angiography of the Aorta: Prospective Evaluation of Individualized Low-Volume Contrast Media Protocols. Radiology 2016; 280:960-8. [DOI: 10.1148/radiol.2016151982] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
31
|
Holubec T, Higashigaito K, Belobradek Z, Dergel M, Harrer J, Alkadhi H, Zacek P, Vojacek J. An Expansible Aortic Ring in Aortic Root Remodeling: Exact Position, Pulsatility, Effectiveness, and Stability in Three-Dimensional CT Study. Ann Thorac Surg 2016; 103:83-90. [PMID: 27457826 DOI: 10.1016/j.athoracsur.2016.05.098] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Revised: 04/21/2016] [Accepted: 05/23/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND The aim of this study was to assess effectiveness, stability, position, and expansibility of an expansible aortic annuloplasty ring with computed tomography (CT). METHODS Ten men (median age 51 years) scheduled for aortic root remodeling with implantation of external annuloplasty ring underwent contrast-enhanced CT of the aortic root preoperatively, postoperatively, and at a median of 21 months after operation. A reconstructed transverse double oblique view of the aortic base (AB) and of the new defined annuloplasty ring base (ARB; plane of the lower edge of the ring) in systole and diastole were obtained. The diameters, perimeter, and area were measured. In addition, the distances between AB and ARB in the nadir of each sinus were measured. RESULTS We found 12% reduction of the postoperative AB and 19% of ARB perimeter in both systole (p = 0.004, p < 0.001, respectively) and diastole (p = 0.001, p < 0.001, respectively) compared with preoperative. There was 22% reduction of the postoperative AB area in systole and 24% in diastole (p = 0.002, p = 0.001, respectively) and 33% reduction of the ARB area in systole and 32% in diastole (p < 0.001 for both) compared with the preoperative period. Nearly all measured variables in the follow-up period showed a slight increase compared with the postoperative period; however, they did not reach statistical significance. The postoperative systolic-diastolic differences in the three measured variables at the level of AB and ARB were statistically significant and were maintained throughout the follow-up period. The base of the ring was implanted 2 ± 2 mm at the right, 0 ± 1 mm at the left above the AB, and 2 (-3 to 2) mm at the noncoronary nadir below the AB. CONCLUSIONS This study demonstrates imaging evidence of the effectiveness, stability, and pulsatility of the annuloplasty ring in aortic root remodeling in follow-up and describes the exact position of the ring at the base of the aortic root.
Collapse
Affiliation(s)
- Tomas Holubec
- Division of Cardiovascular Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Cardiac Surgery, Charles University in Prague, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic.
| | - Kai Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Zdenek Belobradek
- Department of Radiology, Charles University in Prague, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Martin Dergel
- Department of Cardiac Surgery, Charles University in Prague, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Jan Harrer
- Department of Cardiac Surgery, Charles University in Prague, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Pavel Zacek
- Department of Cardiac Surgery, Charles University in Prague, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Jan Vojacek
- Department of Cardiac Surgery, Charles University in Prague, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| |
Collapse
|
32
|
Higashigaito K, Becker AS, Sprengel K, Simmen HP, Wanner G, Alkadhi H. Automatic radiation dose monitoring for CT of trauma patients with different protocols: feasibility and accuracy. Clin Radiol 2016; 71:905-11. [PMID: 27234434 DOI: 10.1016/j.crad.2016.04.023] [Citation(s) in RCA: 4] [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] [Received: 09/11/2015] [Revised: 04/15/2016] [Accepted: 04/29/2016] [Indexed: 11/15/2022]
Abstract
AIM To demonstrate the feasibility and accuracy of automatic radiation dose monitoring software for computed tomography (CT) of trauma patients in a clinical setting over time, and to evaluate the potential of radiation dose reduction using iterative reconstruction (IR). MATERIALS AND METHODS In a time period of 18 months, data from 378 consecutive thoraco-abdominal CT examinations of trauma patients were extracted using automatic radiation dose monitoring software, and patients were split into three cohorts: cohort 1, 64-section CT with filtered back projection, 200 mAs tube current-time product; cohort 2, 128-section CT with IR and identical imaging protocol; cohort 3, 128-section CT with IR, 150 mAs tube current-time product. Radiation dose parameters from the software were compared with the individual patient protocols. Image noise was measured and image quality was semi-quantitatively determined. RESULTS Automatic extraction of radiation dose metrics was feasible and accurate in all (100%) patients. All CT examinations were of diagnostic quality. There were no differences between cohorts 1 and 2 regarding volume CT dose index (CTDIvol; p=0.62), dose-length product (DLP), and effective dose (ED, both p=0.95), while noise was significantly lower (chest and abdomen, both -38%, p<0.017). Compared to cohort 1, CTDIvol, DLP, and ED in cohort 3 were significantly lower (all -25%, p<0.017), similar to the noise in the chest (-32%) and abdomen (-27%, both p<0.017). Compared to cohort 2, CTDIvol (-28%), DLP, and ED (both -26%) in cohort 3 was significantly lower (all, p<0.017), while noise in the chest (+9%) and abdomen (+18%) was significantly higher (all, p<0.017). CONCLUSION Automatic radiation dose monitoring software is feasible and accurate, and can be implemented in a clinical setting for evaluating the effects of lowering radiation doses of CT protocols over time.
Collapse
Affiliation(s)
- K Higashigaito
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - A S Becker
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - K Sprengel
- Division of Trauma Surgery, University Hospital Zurich, University of Zurich, Switzerland
| | - H-P Simmen
- Division of Trauma Surgery, University Hospital Zurich, University of Zurich, Switzerland
| | - G Wanner
- Division of Trauma Surgery, University Hospital Zurich, University of Zurich, Switzerland
| | - H Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
| |
Collapse
|
33
|
Affiliation(s)
- Kai Higashigaito
- From Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland (K.H., R.M., H.A.); Division of Cardiovascular Surgery, University Hospital Zurich, University of Zurich, Switzerland (M.T., F.M., T.H.); Department of Cardiology, University Hospital Zurich, University of Zurich, Switzerland (R.M.); and Institute for Biomedical Engineering, University and ETH Zurich, Switzerland (R.M.).
| | - Robert Manka
- From Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland (K.H., R.M., H.A.); Division of Cardiovascular Surgery, University Hospital Zurich, University of Zurich, Switzerland (M.T., F.M., T.H.); Department of Cardiology, University Hospital Zurich, University of Zurich, Switzerland (R.M.); and Institute for Biomedical Engineering, University and ETH Zurich, Switzerland (R.M.)
| | - Maurizio Taramasso
- From Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland (K.H., R.M., H.A.); Division of Cardiovascular Surgery, University Hospital Zurich, University of Zurich, Switzerland (M.T., F.M., T.H.); Department of Cardiology, University Hospital Zurich, University of Zurich, Switzerland (R.M.); and Institute for Biomedical Engineering, University and ETH Zurich, Switzerland (R.M.)
| | - Francesco Maisano
- From Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland (K.H., R.M., H.A.); Division of Cardiovascular Surgery, University Hospital Zurich, University of Zurich, Switzerland (M.T., F.M., T.H.); Department of Cardiology, University Hospital Zurich, University of Zurich, Switzerland (R.M.); and Institute for Biomedical Engineering, University and ETH Zurich, Switzerland (R.M.)
| | - Hatem Alkadhi
- From Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland (K.H., R.M., H.A.); Division of Cardiovascular Surgery, University Hospital Zurich, University of Zurich, Switzerland (M.T., F.M., T.H.); Department of Cardiology, University Hospital Zurich, University of Zurich, Switzerland (R.M.); and Institute for Biomedical Engineering, University and ETH Zurich, Switzerland (R.M.)
| | - Tomas Holubec
- From Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland (K.H., R.M., H.A.); Division of Cardiovascular Surgery, University Hospital Zurich, University of Zurich, Switzerland (M.T., F.M., T.H.); Department of Cardiology, University Hospital Zurich, University of Zurich, Switzerland (R.M.); and Institute for Biomedical Engineering, University and ETH Zurich, Switzerland (R.M.)
| |
Collapse
|
34
|
Martini K, Higashigaito K, Barth BK, Baumueller S, Alkadhi H, Frauenfelder T. Ultralow-dose CT with tin filtration for detection of solid and sub solid pulmonary nodules: a phantom study. Br J Radiol 2015; 88:20150389. [PMID: 26492317 DOI: 10.1259/bjr.20150389] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES To investigate the diagnostic performance of advanced modelled iterative reconstruction (ADMIRE) to filtered back projection (FBP) when using an ultralow-dose protocol for the detection of solid and subsolid pulmonary nodules. METHODS Single-energy CT was performed at 100 kVp with tin filtration in an anthropomorphic chest phantom with solid and subsolid pulmonary nodules (2-10 mm, attenuation, 20 to -800 HU at 120 kVp). The mean volume CT dose index (CTDIvol) of the standard chest protocol was 2.2 mGy. Subsequent scans were obtained at 1/8 (0.28 mGy), 1/20 (0.10 mGy) and 1/70 (0.03 mGy) dose levels by lowering tube voltage and tube current. Images were reconstructed with FBP and ADMIRE. One reader measured image noise; two readers determined image quality and assessed nodule localization. RESULTS Image noise was significantly reduced using ADMIRE compared with FBP (ADMIRE at a strength level of 5 : 70.4% for 1/20; 71.6% for 1/8; p < 0.001). Interobserver agreement for image quality was excellent (k = 0.88). Image quality was considered diagnostic for all images at 1/20 dose using ADMIRE. Sensitivity of nodule detection was 97.1% (100% for solid, 93.8% for subsolid nodules) at 1/20 dose and 100% for both nodule entities at 1/8 dose using ADMIRE 5. Images obtained with 1/70 dose had moderate sensitivity (overall 85.7%; solid 95%; subsolid 73.3%). CONCLUSION Our study suggests that with a combination of tin filtration and ADMIRE, the CTDIvol of chest CT can be lowered considerably, while sensitivity for nodule detection remains high. For solid nodules, CTDIvol was 0.10 mGy, while subsolid nodules required a slightly higher CTDIvol of 0.28 mGy. ADVANCES IN KNOWLEDGE Detection of subsolid nodules is feasible with ultralow-dose protocols.
Collapse
Affiliation(s)
- Katharina Martini
- University Hospital Zurich, Department of Diagnostic and Interventional Radiology/University of Zurich, Zurich, Switzerland
| | - Kai Higashigaito
- University Hospital Zurich, Department of Diagnostic and Interventional Radiology/University of Zurich, Zurich, Switzerland
| | - Borna K Barth
- University Hospital Zurich, Department of Diagnostic and Interventional Radiology/University of Zurich, Zurich, Switzerland
| | - Stephan Baumueller
- University Hospital Zurich, Department of Diagnostic and Interventional Radiology/University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- University Hospital Zurich, Department of Diagnostic and Interventional Radiology/University of Zurich, Zurich, Switzerland
| | - Thomas Frauenfelder
- University Hospital Zurich, Department of Diagnostic and Interventional Radiology/University of Zurich, Zurich, Switzerland
| |
Collapse
|