Suppr超能文献

对比增强光子计数探测器CT扫描中无实性成分的高密度非血管性和血管性肾病变的光谱鉴别——一项初步研究

Spectral Differentiation of Hyperdense Non-Vascular and Vascular Renal Lesions Without Solid Components in Contrast-Enhanced Photon-Counting Detector CT Scans-A Pilot Study.

作者信息

Becker Judith, Feitelson Laura-Marie, Risch Franka, Canalini Luca, Kaufmann David, Wudy Ramona, Jehs Bertram, Haerting Mark, Wollny Claudia, Scheurig-Muenkler Christian, Kroencke Thomas, Schwarz Florian, Decker Josua A, Bette Stefanie

机构信息

Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany.

Centre for Advanced Analytics and Predictive Sciences (CAAPS), University of Augsburg, Universitätsstr. 2, 86159 Augsburg, Germany.

出版信息

Diagnostics (Basel). 2025 Jan 1;15(1):79. doi: 10.3390/diagnostics15010079.

Abstract

: The number of incidental renal lesions identified in CT scans of the abdomen is increasing. Objective: The aim of this study was to determine whether hyperdense renal lesions without solid components in a portal venous CT scan can be clearly classified as vascular or non-vascular by material decomposition into iodine and water. This retrospective single-center study included 26 patients (mean age 72 years ± 9; 16 male) with 42 hyperdense renal lesions (>20 HU) in a contrast-enhanced Photon-Counting Detector CT scan (PCD-CT) between May and December 2022. Spectral decomposition into virtual non-contrast (VNC) images and iodine quantification maps was performed, and HU values were quantified within the lesions. Further imaging and histopathological reports served as reference standards. Mean VNC values were 55.7 (±24.2) HU for non-vascular and 32.2 (±11.1) HU for vascular renal lesions. Mean values in the iodine maps were 5.7 (±7.8) HU for non-vascular and 33.3 (±19.0) HU for vascular renal lesions. Using a threshold of >20.3 HU in iodine maps, a total of 7/8 (87.5%) vascular lesions were correctly identified. This proof-of-principle study suggests that the routine use of spectral information acquired in PCD-CT scans might be able to reduce the necessary workup for hyperdense renal lesions without solid components. Further studies with larger patient cohorts are necessary to validate the results of this study and to determine the usefulness of this method in clinical routine.

摘要

腹部CT扫描中发现的偶然肾病变数量正在增加。目的:本研究旨在确定在门静脉CT扫描中无实性成分的高密度肾病变是否可以通过分解为碘和水的物质分解法清晰地分类为血管性或非血管性。这项回顾性单中心研究纳入了2022年5月至12月期间在对比增强光子计数探测器CT扫描(PCD-CT)中出现42处高密度肾病变(>20 HU)的26例患者(平均年龄72岁±9岁;16例男性)。进行了光谱分解以生成虚拟平扫(VNC)图像和碘定量图,并对病变内的HU值进行了量化。进一步的影像学和组织病理学报告作为参考标准。非血管性肾病变的平均VNC值为55.7(±24.2)HU,血管性肾病变的平均VNC值为32.2(±11.1)HU。碘图中的平均值,非血管性肾病变为5.7(±7.8)HU,血管性肾病变为33.3(±19.0)HU。使用碘图中>20.3 HU的阈值,总共正确识别了7/8(87.5%)的血管性病变。这项原理验证研究表明,常规使用PCD-CT扫描中获取的光谱信息可能能够减少对无实性成分的高密度肾病变的必要检查。需要对更大的患者队列进行进一步研究,以验证本研究的结果并确定该方法在临床常规中的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6053/11719968/7f58518da48b/diagnostics-15-00079-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验