Computed tomography features predicting aggressiveness of malignant parenchymal renal tumors suitable for partial nephrectomy: a review.

Q1 Medicine
V. Ficarra, S. Caloggero, M. Rossanese, G. Giannarini, A. Crestani, G. Ascenti, G. Novara, F. Porpiglia
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引用次数: 7

Abstract

PURPOSE To identify and standardize computed tomography (CT) features having a potential role in predicting aggressiveness of malignant parenchymal renal tumors suitable for partial nephrectomy (PN). METHODS We performed a non-systematic review of the recent literature to evaluate the potential impact of CT variables proposed by the Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma in predicting aggressiveness of newly diagnosed malignant parenchymal renal tumors. Variables were: clinical tumor size, tumor growth rate, enhancement characteristics, amount of cystic component, polar and capsular location, tumor margins, and distance between tumor and renal sinus. Unfavorable behavior was defined as: 1) renal cell carcinoma (RCC) with stage ≥ pT3; 2) nuclear grade 3 or 4; 3) presence of sarcomatoid de-differentiation; or 4) non-clear cell subtypes with unfavorable prognosis (type 2 papillary RCC, collecting duct or renal medullary carcinoma, unclassified RCC). RESULTS Beyond clinical tumor size, tumor growth rate, enhancement characteristics, amount of cystic component, tumor margins and distance between tumor and renal sinus are highly relevant features predicting an unfavorable behavior. Moreover, several studies supported the role of necrosis as preoperative predictor of tumor aggressiveness. Peritumoral and intratumoral vasculature as well as capsule status are emerging variables that need to be further evaluated. CONCLUSIONS Tumor size, enhancement characteristics, tumor margins and distance to the renal sinus are highly relevant CT features predicting biological aggressiveness of malignant parenchymal renal tumors. Combination of these parameters might be useful to generate tools to predict the unfavorable behavior of renal tumors suitable for PN.
计算机断层扫描特征预测恶性肾实质肿瘤的侵袭性适合部分肾切除术:综述。
目的鉴别和规范计算机断层扫描(CT)在预测适合部分肾切除术(PN)的恶性肾实质肿瘤侵袭性中的潜在作用。方法:我们对近期文献进行了非系统回顾,以评估腹部放射学会疾病聚焦小组提出的CT变量在预测新诊断的恶性肾实质肿瘤侵袭性方面的潜在影响。变量包括:临床肿瘤大小、肿瘤生长速度、增强特征、囊性成分数量、极性和囊性位置、肿瘤边缘、肿瘤与肾窦的距离。不良行为定义为:1)分期≥pT3期的肾细胞癌(RCC);2)核3级或4级;3)存在肉瘤样去分化;4)预后不良的非透明细胞亚型(2型乳头状肾细胞癌、集管癌或肾髓样癌、未分类肾细胞癌)。结果除临床外,肿瘤大小、肿瘤生长速度、增强特征、囊性成分的数量、肿瘤边缘、肿瘤与肾窦的距离是预测不良行为的高度相关特征。此外,一些研究支持坏死作为术前肿瘤侵袭性预测因子的作用。肿瘤周围和肿瘤内的血管系统以及被囊状态是需要进一步评估的新变量。结论肿瘤大小、增强特征、肿瘤边缘及与肾窦的距离是预测恶性肾实质肿瘤生物侵袭性的重要CT特征。这些参数的组合可能有助于生成工具来预测适合PN的肾肿瘤的不良行为。
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来源期刊
Minerva Urologica E Nefrologica
Minerva Urologica E Nefrologica UROLOGY & NEPHROLOGY-
CiteScore
5.50
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal Minerva Urologica e Nefrologica publishes scientific papers on nephrology and urology. Manuscripts may be submitted in the form of Minerva opinion editorials, editorial comments, original articles, video illustrated articles, review articles and letters to the Editor.
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