A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Nie, Pei;Yang, Guangjie;Wang, Yanmei;Xu, Yuchao;Yan, Lei;...

通讯作者：

Wang, X.;Wang, Z.

作者机构：

[Nie, Pei] Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China

[Yan, Lei; Yang, Guangjie] Department of Nuclear Medicine, the Affiliated Hospital of Qingdao University, No. 59, Haier Road, Qingdao, 266061, Shandong, China

[Wang, Yanmei; Duan, Shaofeng] GE Healthcare, Shanghai, China

[Xu, Yuchao] School of Nuclear Science and Technology, University of South China, Hengyang, Hunan, China

[Zhang, Mingxin] Department of Urology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China

通讯机构：

[Wang, Z.; Wang, X.] D

Department of Radiology, No. 324 Jingwu Road, Shandong, China

Department of Nuclear Medicine, No. 59, Haier Road, Shandong, China

语种：

英文

关键词：

Clear cell renal cell carcinoma;Deep learning;Prognosis;Radiomics;Tomography, X-ray computed

期刊：

European Radiology

ISSN：

0938-7994

年：

2023

卷：

期：

页码：

8858-8868

DOI：

10.1007/s00330-023-09869-6

基金类别：

This study was supported by the Postdoctoral Science Foundation of China (2021M701811) and the National Natural Science Foundation of China (82271993, 81871354).

机构署名：

本校为其他机构

院系归属：

核科学技术学院

摘要：

Objectives: To develop and validate a CT-based deep learning radiomics nomogram (DLRN) for outcome prediction in clear cell renal cell carcinoma (ccRCC), and its performance was compared with the Stage, Size, Grade, and Necrosis (SSIGN) score, the University of California, Los Angeles, Integrated Staging System (UISS), the Memorial Sloan-Kettering Cancer Center (MSKCC), and the International Metastatic Renal Cell Database Consortium (IMDC). Methods: A multicenter of 799 localized (training/ test cohort, 558/241) and 45 metastatic ccRCC patients...

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A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study

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