Radiomics nomogram for predicting disease-free survival after partial resection or radical cystectomy in patients with bladder cancer

被引:1
|
作者
Cai, Qian [1 ]
Huang, Yiping [1 ]
Ling, Jian [2 ]
Kong, Lingmin [1 ]
Lin, Yingyu [1 ]
Chen, Yanling [1 ]
Cao, Wenxin [1 ]
Liao, Yuting [3 ]
Guo, Yan [1 ]
Guan, Jian [1 ]
Wang, Huanjun [1 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Radiol, Guangzhou 510080, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Eastern Hosp, Affiliated Hosp 1, Dept Radiol, Guangzhou 510700, Guangdong, Peoples R China
[3] Philips Healthcare, Guangzhou 510220, Guangdong, Peoples R China
来源
BRITISH JOURNAL OF RADIOLOGY | 2024年 / 97卷 / 1153期
基金
中国国家自然科学基金;
关键词
urinary bladder neoplasms; magnetic resonance imaging; prognosis; nomograms; LYMPH-NODE METASTASIS; ACOUSTIC RADIATION FORCE; DIFFERENTIATED THYROID-CANCER; SHEAR-WAVE ELASTOGRAPHY; MANAGEMENT GUIDELINES; PROGNOSTIC-FACTOR; DATA SYSTEM; ULTRASONOGRAPHY; DIAGNOSIS; ULTRASOUND;
D O I
10.1093/bjr/tqad010
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives: To create a MRI-derived radiomics nomogram that combined clinicopathological factors and radiomics signature (Rad-score) for predicting disease-free survival (DFS) in patients with bladder cancer (BCa) following partial resection (PR) or radical cystectomy (RC), including lymphadenectomy (LAE). Methods: Finally, 80 patients with BCa after PR or RC with LAE were enrolled. Patients were randomly split into training (n = 56) and internal validation (n = 24) cohorts. Radiomic features were extracted from T2-weighted, dynamic contrast-enhanced, diffusion-weighted imaging, and apparent diffusion coefficient sequence. The least absolute shrinkage and selection operator (LASSO) Cox regression algorithm was applied to choose the valuable features and construct the Rad-score. The DFS prediction model was built using the Cox proportional hazards model. The relationship between the Rad-score and DFS was assessed using Kaplan-Meier analysis. A radiomics nomogram that combined the Rad-score and clinicopathological factors was created for individualized DFS estimation. Results: In both the training and validation cohorts, the Rad-score was positively correlated with DFS (P<.001). In the validation cohort, the radiomics nomogram combining the Rad-score, tumour pathologic stage (pT stage), and lymphovascular invasion (LVI) achieved better performance in DFS prediction (C-index, 0.807; 95% CI, 0.713-0.901) than either the clinicopathological (C-index, 0.654; 95% CI, 0.467-0.841) or Radscore-only model (C-index, 0.770; 95% CI, 0.702-0.837). Conclusion: The Rad-score was an independent predictor of DFS for patients with BCa after PR or RC with LAE, and the radiomics nomogram that combined the Rad-score, pT stage, and LVI achieved better performance in individual DFS prediction. Advances in knowledge: This study provided a non-invasive and simple method for personalized and accurate prediction of DFS in BCa patients after PR or RC.
引用
收藏
页码:201 / 209
页数:9
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