Detection of moderate hepatic steatosis on contrast-enhanced dual-source dual-energy CT: Role and accuracy of virtual non-contrast CT

医学 脂肪变性 核医学 脂肪肝 对比度(视觉) 回顾性队列研究 放射科 胃肠病学 外科 内科学 人工智能 计算机科学 疾病
作者
Roberta Catania,Leo Jia,Maryam Haghshomar,Frank H. Miller,Amir A. Borhani
出处
期刊:European Journal of Radiology [Elsevier]
卷期号:172: 111328-111328
标识
DOI:10.1016/j.ejrad.2024.111328
摘要

Abstract

Purpose

To investigate diagnostic accuracy of virtual non contrast (VNC) images, based on dual-source dual-energy CT (dsDECT), for detection of at least moderate steatosis and to define a threshold value to make this diagnosis on VNC.

Methods

This single-institution retrospective study included patients who had multi-phasic protocol dsDECT. Regions of interests were placed in different segments of the liver and spleen on true non-contrast (TNC), VNC, and portal-venous phase (PVP) images. At least moderate steatosis was defined as liver attenuation (LHU) < 40 HU on TNC. Diagnostic performance of VNC to detect steatosis was determined and the new threshold was tested in a validation cohort.

Results

236 patients were included in training cohort. Mean liver attenuation values were 51.3 ± 10.8 HU and 58.1 ± 11.5 HU for TNC and VNC (p < 0.001), with a mean difference (VNC – TNC) of 6.8 ± 6.9 HU. Correlation between TNC and VNC was strong (r = 0.81, p < 0.001). The AUCs of LHU on VNC for detection of hepatic steatosis were 0.92 (95 % Cl: 0.86–0.98), 0.92 (95 % Cl: 0.87–0.97), 0.92 (95 % Cl: 0.86–0.99), 0.91 (95 % Cl: 0.84–0.97), and 0.87 (95 % Cl: 0.80–0.95) for entire liver, left lateral, left medial, right anterior, and right posterior segments, respectively. VNC had sensitivity/specificity of 100 % /42 % when using a threshold of 40 HU; they were 69 % and 95 %, respectively, when using optimized threshold of 46 HU. This threshold showed similar performance in validation cohort (n = 80).

Conclusions

Hepatic attenuation on VNC has promising performance for detection of at least moderate steatosis. Proposed threshold of 46 HU provides high specificity and moderate sensitivity to detect steatosis.

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