CT radiomics to differentiate between Wilms tumor and clear cell sarcoma of the kidney in children

作者全名："Deng, Yaxin; Wang, Haoru; He, Ling"

作者地址："[Deng, Yaxin; Wang, Haoru; He, Ling] Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Key Lab Child Dev & Disorders, Childrens Hosp,Minist Educ,Dept Radiol,Chongqing K, Chongqing 400014, Peoples R China"

通信作者："He, L (通讯作者)，Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Key Lab Child Dev & Disorders, Childrens Hosp,Minist Educ,Dept Radiol,Chongqing K, Chongqing 400014, Peoples R China."

来源：BMC MEDICAL IMAGING

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001137120100001

JCR分区：Q2

影响因子：2.7

年份：2024

卷号：24

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Children; Clear cell sarcoma of the kidney; Computed tomography; Radiomics; Wilms tumor

摘要："Background To investigate the role of CT radiomics in distinguishing Wilms tumor (WT) from clear cell sarcoma of the kidney (CCSK) in pediatric patients.Methods We retrospectively enrolled 83 cases of WT and 33 cases of CCSK. These cases were randomly stratified into a training set (n = 81) and a test set (n = 35). Several imaging features from the nephrographic phase were analyzed, including the maximum tumor diameter, the ratio of the maximum CT value of the tumor solid portion to the mean CT value of the contralateral renal vein (CTmax/CT renal vein), and the presence of dilated peritumoral cysts. Radiomics features from corticomedullary phase were extracted, selected, and subsequently integrated into a logistic regression model. We evaluated the model's performance using the area under the curve (AUC), 95% confidence interval (CI), and accuracy.Results In the training set, there were statistically significant differences in the maximum tumor diameter (P = 0.021) and the presence of dilated peritumoral cysts (P = 0.005) between WT and CCSK, whereas in the test set, no statistically significant differences were observed (P > 0.05). The radiomics model, constructed using four radiomics features, demonstrated strong performance in the training set with an AUC of 0.889 (95% CI: 0.811-0.967) and an accuracy of 0.864. Upon evaluation using fivefold cross-validation in the training set, the AUC remained high at 0.863 (95% CI: 0.774-0.952), with an accuracy of 0.852. In the test set, the radiomics model achieved an AUC of 0.792 (95% CI: 0.616-0.968) and an accuracy of 0.857.Conclusion CT radiomics proves to be diagnostically valuable for distinguishing between WT and CCSK in pediatric cases."

基金机构：National Natural Science Foundation of Chongqing

基金资助正文：None.