학술논문
Imaging features in post-mortem x-ray dark-field chest radiographs and correlation with conventional x-ray and CT.
Document Type
Academic Journal
Author
Fingerle AA; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany. alexander.fingerle@tum.de.; De Marco F; Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.; Andrejewski J; Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.; Willer K; Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.; Gromann LB; Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.; Noichl W; Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.; Kriner F; Institute of Forensic Medicine, Ludwig-Maximilians-University Munich, 80336, Munich, Germany.; Fischer F; Institute of Forensic Medicine, Ludwig-Maximilians-University Munich, 80336, Munich, Germany.; Braun C; Institute of Forensic Medicine, Ludwig-Maximilians-University Munich, 80336, Munich, Germany.; Maack HI; Philips Medical Systems DMC GmbH, 22335, Hamburg, Germany.; Pralow T; Philips Medical Systems DMC GmbH, 22335, Hamburg, Germany.; Koehler T; Philips GmbH Innovative Technologies, Research Laboratories, 22335, Hamburg, Germany.; Institute for Advanced Study, Technical University of Munich, 85748, Garching, Germany.; Noël PB; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.; Meurer F; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.; Deniffel D; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.; Sauter AP; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.; Haller B; Institute of Medical Informatics, Statistics and Epidemiology, Technical University of Munich, 81675, Munich, Germany.; Pfeiffer D; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.; Rummeny EJ; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.; Herzen J; Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.; Pfeiffer F; Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.; Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.; Institute for Advanced Study, Technical University of Munich, 85748, Garching, Germany.
Source
Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE
Subject
Language
English
Abstract
Background: Although x-ray dark-field imaging has been intensively investigated for lung imaging in different animal models, there is very limited data about imaging features in the human lungs. Therefore, in this work, a reader study on nine post-mortem human chest x-ray dark-field radiographs was performed to evaluate dark-field signal strength in the lungs, intraobserver and interobserver agreement, and image quality and to correlate with findings of conventional x-ray and CT.
Methods: In this prospective work, chest x-ray dark-field radiography with a tube voltage of 70 kVp was performed post-mortem on nine humans (3 females, 6 males, age range 52-88 years). Visual quantification of dark-field and transmission signals in the lungs was performed by three radiologists. Results were compared to findings on conventional x-rays and 256-slice computed tomography. Image quality was evaluated. For ordinal data, median, range, and dot plots with medians and 95% confidence intervals are presented; intraobserver and interobserver agreement were determined using weighted Cohen κ.
Results: Dark-field signal grading showed significant differences between upper and middle (p = 0.004-0.016, readers 1-3) as well as upper and lower zones (p = 0.004-0.016, readers 1-2). Median transmission grading was indifferent between all lung regions. Intraobserver and interobserver agreements were substantial to almost perfect for grading of both dark-field (κ = 0.793-0.971 and κ = 0.828-0.893) and transmission images (κ = 0.790-0.918 and κ = 0.700-0.772). Pulmonary infiltrates correlated with areas of reduced dark-field signal. Image quality was rated good for dark-field images.
Conclusions: Chest x-ray dark-field images provide information of the lungs complementary to conventional x-ray and allow reliable visual quantification of dark-field signal strength.
Methods: In this prospective work, chest x-ray dark-field radiography with a tube voltage of 70 kVp was performed post-mortem on nine humans (3 females, 6 males, age range 52-88 years). Visual quantification of dark-field and transmission signals in the lungs was performed by three radiologists. Results were compared to findings on conventional x-rays and 256-slice computed tomography. Image quality was evaluated. For ordinal data, median, range, and dot plots with medians and 95% confidence intervals are presented; intraobserver and interobserver agreement were determined using weighted Cohen κ.
Results: Dark-field signal grading showed significant differences between upper and middle (p = 0.004-0.016, readers 1-3) as well as upper and lower zones (p = 0.004-0.016, readers 1-2). Median transmission grading was indifferent between all lung regions. Intraobserver and interobserver agreements were substantial to almost perfect for grading of both dark-field (κ = 0.793-0.971 and κ = 0.828-0.893) and transmission images (κ = 0.790-0.918 and κ = 0.700-0.772). Pulmonary infiltrates correlated with areas of reduced dark-field signal. Image quality was rated good for dark-field images.
Conclusions: Chest x-ray dark-field images provide information of the lungs complementary to conventional x-ray and allow reliable visual quantification of dark-field signal strength.