医学
肾脂肪囊
血管性
软组织
肾细胞癌
多探测器计算机断层扫描
放射科
断层摄影术
计算机断层摄影术
病态的
核医学
病理
内科学
肾
作者
Jaime Landman,Jae Young Park,Chang Zhao,Molly Baker,Martin R. Hofmann,Mohammad Helmy,Chandana Lall,Mari Bozoghlanian,Zhamshid Okhunov
出处
期刊:Journal of Computer Assisted Tomography
[Ovid Technologies (Wolters Kluwer)]
日期:2017-09-01
卷期号:41 (5): 702-707
被引量:12
标识
DOI:10.1097/rct.0000000000000588
摘要
Objective The aim of this study was to assess the accuracy of computed tomography (CT) imaging in diagnosing perinephric fat (PNF) invasion in patients with renal cell carcinoma. Methods We retrospectively reviewed the medical records and preoperative CT images of 161 patients (105 men and 56 women) for pT1–pT3a renal cell carcinoma. We analyzed the predictive accuracy of CT criteria for PNF invasion stratified by tumor size. We determined the predictive value of CT findings in diagnosing PNF invasion using logistic regression analysis. Results The overall accuracy of perinephric (PN) soft-tissue stranding, peritumoral vascularity, increased density of the PNF, tumoral margin, and contrast-enhancing soft-tissue nodule to predict PNF invasion were 56%, 59%, 35%, 80%, and 87%, respectively. Perinephric soft-tissue stranding and peritumoral vascularity showed high sensitivity but low specificity regardless of tumor size. A contrast-enhancing soft-tissue nodule showed low sensitivity but high specificity in predicting PNF invasion. Among tumors 4 cm or less, PN soft-tissue stranding showed 100% sensitivity and 70% specificity, and tumor margin showed 100% sensitivity and 98% specificity. Among CT criteria for PNF invasion, PN soft-tissue stranding was chosen as the only significant factor for assessing PNF invasion by logistic regression analysis. Conclusions Computed tomography does not seem to reliably predict PNF invasion. However, PN soft-tissue stranding was shown to be the only significant factor for predicting PNF invasion, which showed good accuracy with high sensitivity and high specificity in tumors 4 cm or less.
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