Tumor contour irregularity on preoperative CT predicts prognosis in renal cell carcinoma: a multi-institutional study

被引:1
|
作者
Zhu, Pingyi [1 ,2 ]
Dai, Chenchen [1 ,2 ]
Xiong, Ying [3 ]
Qu, Jianyi [1 ,2 ]
Wang, Ruiting [1 ,2 ]
Yao, Linpeng [4 ]
Zhang, Feng [5 ]
Hou, Jun [6 ]
Zeng, Mengsu [1 ,2 ]
Guo, Jianming [3 ]
Wang, Shuo [7 ,12 ]
Chen, Feng [4 ]
Zhou, Jianjun [1 ,8 ,9 ,10 ,11 ]
机构
[1] Fudan Univ, Zhongshan Hosp, Dept Radiol, 668 Jinhu Rd, Shanghai 361015, Peoples R China
[2] Shanghai Inst Med Imaging, Shanghai, Peoples R China
[3] Fudan Univ, Zhongshan Hosp, Dept Urol, Shanghai, Peoples R China
[4] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Radiol, Hangzhou, Peoples R China
[5] Fudan Univ, Zhongshan Hosp, Dept Gastroenterol & Hepatol, Shanghai, Peoples R China
[6] Fudan Univ, Zhongshan Hosp, Dept Pathol, Shanghai, Peoples R China
[7] Fudan Univ, Digital Med Res Ctr, Sch Basic Med Sci, Shanghai, Peoples R China
[8] Fudan Univ, Zhongshan Hosp Xiamen, Dept Radiol, Xiamen 361015, Peoples R China
[9] Xiamen Municipal Clin Res Ctr Med Imaging, Xiamen 361015, Peoples R China
[10] Fujian Prov Key Clin Specialty Med Imaging, Xiamen 361015, Peoples R China
[11] Xiamen Key Lab Clin Transformat Imaging Big Data &, Xiamen 361015, Peoples R China
[12] Shanghai Key Lab MICCAI, Shanghai, Peoples R China
关键词
Renal cell carcinoma; Prognosis; SSIGN; ADJUVANT PEMBROLIZUMAB; ASSOCIATIONS; NEPHRECTOMY; SURVIVAL; NECROSIS; FEATURES; SYSTEM; STAGE; GRADE; SCORE;
D O I
10.1016/j.eclinm.2024.102775
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Radiology-based prognostic biomarkers play a crucial role in patient counseling, enhancing surveillance, and designing clinical trials effectively. This study aims to assess the predictive significance of preoperative CT-based tumor contour irregularity in determining clinical outcomes among patients with renal cell carcinoma (RCC). Methods We conducted a retrospective multi-institutional review involving 2218 patients pathologically diagnosed with RCC. The training and internal validation sets included patients at Zhongshan Hospital between January 2009 and August 2019. The external test set comprised patients from the First Affiliated fi liated Hospital, Zhejiang University School of Medicine (January 2016 to January 2018), the Xiamen Branch of Zhongshan Hospital (November 2017 to June 2023), and the Cancer Imaging Archive. The contour irregularity degree (CID), quantified fi ed as the ratio of irregular cross-sections to the total tumor cross-sections, was analyzed for its prognostic relevance across different subgroups of RCC patients. A novel CID-based scoring system was developed, and its predictive efficacy was evaluated and compared with existing prognostic models. Findings The CID exhibited significant fi cant discriminatory power in predicting overall survival (OS), recurrence-free survival (RFS), and disease-specific fi c survival (DSS) among patients with RCC tumors measuring 3 cm or larger (all p < 0.001). Multivariate analyses confirmed fi rmed the CID as an independent prognostic indicator. Notably, the CID augmented prognostic stratification fi cation among RCC patients within distinct risk subgroups delineated by SSIGN models and ISUP grades. The CID-based nomogram (C-Model) demonstrated robust predictive performance, with C-index values of 0.88 (95%CI: 0.84-0.92) - 0.92) in the training set, 0.92 (95%CI: 0.88-0.98) - 0.98) in the internal validation set, and 0.86 (95%CI: 0.81-0.90) - 0.90) in the external test set, surpassing existing prognostic models. Interpretation Routine imaging-based assessment of the CID serves as an independent prognostic factor, offering incremental prognostic value to existing models in RCC patients with tumors measuring 3 cm or larger.
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页数:11
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