Photon-Counting Detector CT Radiological-Histological Correlation in Cadaveric Human Lung Nodules and Airways.

Autor:	Hata A; From the Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, Suita, Japan (A.H., M.Y., K.N., C.M., T.Y., D.N., S.D., K.Y., Y.Y., R.O., Y.T., N.T.); Department of Radiology, Minoh City Hospital, Minoh City, Japan (N.K.); and Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Japan (M.K., E.M.)., Yanagawa M, Ninomiya K, Kikuchi N, Kurashige M, Masuda C, Yoshida T, Nishigaki D, Doi S, Yamagata K, Yoshida Y, Ogawa R, Tokuda Y, Morii E, Tomiyama N
Jazyk:	angličtina
Zdroj:	Investigative radiology [Invest Radiol] 2024 Aug 20. Date of Electronic Publication: 2024 Aug 20.
DOI:	10.1097/RLI.0000000000001117
Abstrakt:	Objectives: The aim of this study was to compare the performances of photon-counting detector computed tomography (PCD-CT) and energy-integrating detector computed tomography (EID-CT) for visualizing nodules and airways in human cadaveric lungs. Materials and Methods: Previously obtained 20 cadaveric lungs were scanned, and images were prospectively acquired by EID-CT and PCD-CT at a radiation dose with a noise level equivalent to the diagnostic reference level. PCD-CT was scanned with ultra-high-resolution mode. The EID-CT images were reconstructed with a 512 matrix, 0.6-mm thickness, and a 350-mm field of view (FOV). The PCD-CT images were reconstructed at 3 settings: PCD-512: same as EID-CT; PCD-1024-FOV350: 1024 matrix, 0.2-mm thickness, 350-mm FOV; and PCD-1024-FOV50: 1024 matrix, 0.2-mm thickness, 50-mm FOV. Two specimens per lung were examined after hematoxylin and eosin staining. The CT images were evaluated for nodules on a 5-point scale and for airways on a 4-point scale to compare the histology. The Wilcoxon signed rank test with Bonferroni correction was performed for statistical analyses. Results: Sixty-seven nodules (1321 μm; interquartile range [IQR], 758-3105 μm) and 92 airways (851 μm; IQR, 514-1337 μm) were evaluated. For nodules and airways, scores decreased in order of PCD-1024-FOV50, PCD-1024-FOV350, PCD-512, and EID-CT. Significant differences were observed between series other than PCD-1024-FOV350 versus PCD-1024-FOV50 for nodules (PCD-1024-FOV350 vs PCD-1024-FOV50, P = 0.063; others P < 0.001) and between series other than EID-CT versus PCD-512 for airways (EID-CT vs PCD-512, P = 0.549; others P < 0.005). On PCD-1024-FOV50, the median size of barely detectable nodules was 604 μm (IQR, 469-756 μm) and that of barely detectable airways was 601 μm (IQR, 489-929 μm). On EID-CT, that of barely detectable nodules was 837 μm (IQR, 678-914 μm) and that of barely detectable airways was 1210 μm (IQR, 674-1435 μm). Conclusions: PCD-CT visualized small nodules and airways better than EID-CT and improved with high spatial resolution and potentially can detect submillimeter nodules and airways. Competing Interests: Conflicts of interest and sources of funding: none declared. The study was supported by a grant from the Grants-in-Aid for Scientific Research–KAKENHI (JP21K07672). (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu