1. Additional file 1 of Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation
- Author
-
Kong, Jianqiu, Zheng, Junjiong, Wu, Jieying, Wu, Shaoxu, Cai, Jinhua, Diao, Xiayao, Xie, Weibin, Chen, Xiong, Yu, Hao, Huang, Lifang, Fang, Hongpeng, Fan, Xinxiang, Qin, Haide, Li, Yong, Wu, Zhuo, Huang, Jian, and Lin, Tianxin
- Abstract
Additional file 1: Fig. S1. Recruitment pathways. Fig. S2. Receiver operating characteristic analysis (A���C) and decision curve analysis (D���F) of radiomic-clinical nomogram model and clinical model in the training set, internal validation set, and external validation set, respectively. Fig. S3. Performance of the radiomics signature and radiomic-clinical model in the prospective validation set. (A) ROC curve of the radiomics signature in the prospective validation set. (B) Boxplots of the radiomics score in the prospective validation set. (C) ROC curve of the radiomic-clinical nomogram in the prospective validation set. Table S1. The clinical data of the prospective validation set. Table S2. Stratified analysis of the association between the radiomics signature and the pathological characteristics of adrenal lesions in the combined training, internal validation and external validation sets. Table S3. Stratified analysis of the association between the radiomics signature and MRI parameters in all enrolled patients.
- Published
- 2022
- Full Text
- View/download PDF