TY - JOUR
T1 - Imaging features in post-mortem x-ray dark-field chest radiographs and correlation with conventional x-ray and CT
AU - Fingerle, Alexander A.
AU - De Marco, Fabio
AU - Andrejewski, Jana
AU - Willer, Konstantin
AU - Gromann, Lukas B.
AU - Noichl, Wolfgang
AU - Kriner, Fabian
AU - Fischer, Florian
AU - Braun, Christian
AU - Maack, Hanns Ingo
AU - Pralow, Thomas
AU - Koehler, Thomas
AU - Noël, Peter B.
AU - Meurer, Felix
AU - Deniffel, Dominik
AU - Sauter, Andreas P.
AU - Haller, Bernhard
AU - Pfeiffer, Daniela
AU - Rummeny, Ernst J.
AU - Herzen, Julia
AU - Pfeiffer, Franz
N1 - Funding Information:
We acknowledge financial support through the DFG (Gottfried Wilhelm Leibniz program) and the European Research Council (AdG 695045). This work was carried out with the support of the Karlsruhe Nano Micro Facility (KNMF, www.kit.edu/knmf ), a Helmholtz Research Infrastructure at Karlsruhe Institute of Technology (KIT).
PY - 2019/7/11
Y1 - 2019/7/11
N2 - 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.
AB - 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.
KW - Lung
KW - Observer variation
KW - Radiography (thoracic)
KW - Tomography (x-ray computed)
KW - X-ray dark-field imaging
UR - http://www.scopus.com/inward/record.url?scp=85068916740&partnerID=8YFLogxK
U2 - 10.1186/s41747-019-0104-7
DO - 10.1186/s41747-019-0104-7
M3 - Article
C2 - 31292790
AN - SCOPUS:85068916740
SN - 2509-9280
VL - 3
SP - 25
JO - European Radiology Experimental
JF - European Radiology Experimental
IS - 1
ER -