Abstract

BackgroundRenal cell carcinoma (RCC) is a heterogeneous group of kidney cancers. Renal capsule invasion is an essential factor for RCC staging. To develop radiomics models from CT images for the preoperative prediction of capsule invasion in RCC patients.MethodsThis retrospective study included patients with RCC admitted to the Chongqing University Cancer Hospital (01/2011–05/2019). We built a radiomics model to distinguish patients grouped as capsule invasion versus non-capsule invasion, using preoperative CT scans. We evaluated effects of three imaging phases, i.e., unenhanced phases (UP), corticomedullary phases (CMP), and nephrographic phases (NP). Five different machine learning classifiers were compared. The effects of tumor and tumor margins are also compared. Five-fold cross-validation and the area under the receiver operating characteristic curve (AUC) are used to evaluate model performance.ResultsThis study included 126 RCC patients, including 46 (36.5%) with capsule invasion. CMP exhibited the highest AUC (AUC = 0.81) compared to UP and NP, when using the forward neural network (FNN) classifier. The AUCs using features extracted from the tumor region were generally higher than those of the marginal regions in the CMP (0.81 vs. 0.73) and NP phase (AUC = 0.77 vs. 0.76). For UP, the best result was obtained from the marginal region (AUC = 0.80). The robustness analysis on the UP, CMP, and NP achieved the AUC of 0.76, 0.79, and 0.77, respectively.ConclusionsRadiomics features in renal CT imaging are associated with the renal capsule invasion in RCC patients. Further evaluation of the models is warranted.

Highlights

  • Renal cell carcinoma (RCC) is a heterogeneous group of kidney cancers

  • The results show an association between radiomics features in renal computed tomography (CT) imaging and the renal capsule invasion of RCC, and, in particular, it shows that the characteristics of tumors at the corticomedullary phases (CMP) stage are predictive of the capsule’s invasion

  • The results of this study showed that the radiomics features separately extracted from the tumor or marginal regions are generally more predictive than the features extracted from the combined regions (i.e., “T + M” or the “whole region”)

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Summary

Introduction

Renal cell carcinoma (RCC) is a heterogeneous group of kidney cancers. Renal capsule invasion is an essential factor for RCC staging. Renal cell carcinoma (RCC) is a heterogeneous group of kidney cancers comprising many histologic subtypes, with clear cell histology being the most common subtype [1, 2]. Committee on Cancer (AJCC) guideline [6], renal capsule invasion is an essential factor distinguishing the T2 and T3 stages. Several studies [7,8,9] showed that the prognosis of RCC patients with renal capsule invasion was poorer than those without the invasion. A recent study showed that the existence and extent of renal capsule invasion are associated with prognosis, while lymphovascular invasion was not [10]. Another study on surgically treated stages I and II RCC patients

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