CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection.

Autor: Sauter AP; Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany. andreas.sauter@tum.de., Proksa R; Philips Research, Hamburg, Germany., Knipfer A; Department of Radiology, Helios Klinikum München West, Munich, Germany., Reischl S; Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany., Braren RF; Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany., Nadjiri J; Department of Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany., Kopp F; Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany., Noël PB; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA., Makowski MR; Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany., Rummeny EJ; Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts Der Isar, Technical University of Munich, Ismaningerstr. 22, 81675, Munich, Germany., Fingerle AA; Department of Radiology, Kantonsspital Münsterlingen, Muensterlingen, Switzerland.
Jazyk: angličtina
Zdroj: Cardiovascular and interventional radiology [Cardiovasc Intervent Radiol] 2023 Nov; Vol. 46 (11), pp. 1621-1631. Date of Electronic Publication: 2023 Sep 27.
DOI: 10.1007/s00270-023-03550-7
Abstrakt: Purpose: Evaluation of dual-layer spectral computed tomography (CT) for contrast enhancement during image-guided biopsy of liver lesions using virtual monoenergetic images (VMI) and virtual non-contrast (VNC) images.
Methods: Spectral CT data of 20 patients receiving CT-guided needle biopsy of focal liver lesions were used to generate VMI at energy levels from 40 to 200 keV and VNC images. Images were analyzed objectively regarding contrast-to-noise ratio between lesion center (CNR cent ) or periphery (CNR peri ) and normal liver parenchyma. Lesion visibility and image quality were evaluated on a 4-point Likert scale by two radiologists.
Results: Using VMI/VNC images, readers reported an increased visibility of the lesion compared to the conventional CT images in 18/20 cases. In 75% of cases, the highest visibility was derived by VMI-40. Showing all reconstructions simultaneously, VMI-40 offered the highest visibility in 75% of cases, followed by VNC in 12.5% of cases. Either CNR cent (17/20) or/and CNR peri (17/20) was higher (CNR increase > 50%) in 19/20 cases for VMI-40 or VNC images compared to conventional CT images. VMI-40 showed the highest CNR cent in 14 cases and the highest CNR peri in 12 cases. High image quality was present for all reconstructions with a minimum median of 3.5 for VMI-40 and VMI-50.
Conclusions: When implemented in the CT scanner software, automated contrast enhancement of liver lesions during image-guided biopsy may facilitate the procedure.
(© 2023. The Author(s).)
Databáze: MEDLINE
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