Differential value of CT radiomics in papillary renal cell carcinoma and clear cell renal cell carcinoma
10.3969/j.issn.1002-1671.2024.01.017
- VernacularTitle:CT影像组学鉴别乳头状肾细胞癌与肾透明细胞癌
- Author:
Xu LIN
1
;
Yankun GAO
;
Xiaomin ZHENG
;
Xingwang WU
Author Information
1. 安徽医科大学第一附属医院放射科,安徽 合肥 230022
- Keywords:
radiomics;
nomogram;
clear cell renal cell carcinoma;
papillary renal cell carcinoma;
computed tomography
- From:
Journal of Practical Radiology
2024;40(1):74-78
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a radiomics nomogram combining clinical and a radiomics signature for distinguishing type Ⅱpapillary renal cell carcinoma(pRCC)from atypical clear cell renal cell carcinoma(ccRCC).Methods Clinical and CT data of patients with pathologically confirmed type Ⅱ pRCC(62 cases)and atypical ccRCC(56 cases)were analyzed.A random sample was divided into a training set(82 cases)and a test set(36 cases)in a ratio of 7∶3.Clinical factors were screened to construct clinical factor models.A total of 1 595 radiomics features of tumors were extracted from the corticomedullary phase CT images and based on the most effective features to construct a radiomics signature and calculate the radiomics score(Rad-score).A radiomics nomogram was constructed by combining the Rad-score and independent clinical factors.Receiver operating characteristic(ROC)curve was used to assess the clini-cal usefulness of the models.Decision curve analysis(DCA)was used to assess the difference between the models.Results The radiomics signature showed good discrimination in training set area under the curve(AUC)0.894[95％confidence interval(CI)0.834-0.947]and test set AUC 0.879(95％CI 0.774-0.963).The AUC of the clinical factors model in training set and test set were 0.725(95％CI 0.646-0.804)and 0.698(95％CI 0.567-0.819).The AUC of the radiomics nomogram in training set and test set were 0.901(95％CI 0.840-0.953)and 0.901(95％CI 0.809-0.975).DCA demonstrated the radiomics nomogram outmatched the clinical factors model and radiomics signature in the aspects of clinical usefulness.Conclusion Radiomics nomogram based on enhanced CT can provide good prediction of type Ⅱ pRCC and atypical ccRCC preoperatively,improve the diagnostic accuracy and provide guidance for future clinical treatment.
