The preoperative prognostic value of the radiomics nomogram based on CT combined with machine learning in patients with intrahepatic cholangiocarcinoma

World Journal of Surgical Oncology

Xuelei Ma¹  Xianghong Zhou²  Zheyu Chen³  Youyin Tang⁴  Tao Zhang⁵  Yunuo Zhao⁵  Hanyue Xu⁵  Hang Wang⁶  Yichun Liu⁷ 

[1] Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 GuoXue Alley, 610041, Chengdu, People’s Republic of China;Department of Biotherapy, West China Hospital, Sichuan University, No. 37 GuoXue Alley, 610041, Chengdu, People’s Republic of China;Department of Liver Surgery, Division of Liver Transplantation Center, West China Hospital, Sichuan University, No. 37 GuoXue Alley, 610041, Chengdu, People’s Republic of China;Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, No. 37 GuoXue Alley, 610041, Chengdu, People’s Republic of China;West China School of Medicine, West China Hospital, Sichuan University, No. 37 GuoXue Alley, 610041, Chengdu, People’s Republic of China;West China School of Medicine, West China Hospital, Sichuan University, No.14, 3Rd Section Of Ren Min Nan Rd., 610041, Chengdu, Sichuan, People’s Republic of China;West China School of Public Health, NO.4 West China Teaching Hospital, Sichuan University, No. 18, three section of people south road, 610041, Chengdu, People’s Republic of China;

关键词: Intrahepatic cholangiocarcinoma;    Radiomics;    Nomogram;    Prognosis;    Machine learning;   

DOI  :  10.1186/s12957-021-02162-0

来源: Springer

【 摘 要 】

BackgroundIntrahepatic cholangiocarcinoma is an aggressive liver carcinoma with increasing incidence and mortality. A good auxiliary prognostic prediction tool is desperately needed for the development of treatment strategies. The purpose of this study was to explore the prognostic value of the radiomics nomogram based on enhanced CT in intrahepatic cholangiocarcinoma.MethodsIn this retrospective study, 101 patients with pathological confirmation of intrahepatic cholangiocarcinoma were recruited. A radiomics nomogram was developed by radiomics score and independent clinical risk factors selecting from multivariate Cox regression. All patients were stratified as high risk and low risk by a nomogram. Model performance and clinical usefulness were assessed by calibration curve, ROC curve, and survival curve.ResultsA total of 101patients (mean age, 58.2 years old; range 36–79 years old) were included in the study. The 1-year, 3-year, and 5-year overall survival rates were 49.5%, 26.6%, and 14.4%, respectively, with a median survival time of 12.2 months in the whole set. The least absolute shrinkage and selection operator (LASSO) method selected 3 features. Multivariate Cox analysis found three independent prognostic factors. The radiomics nomogram showed a significant prognosis value with overall survival. There was a significant difference in the 1-year and 3-year survival rates of stratified high-risk and low-risk patients in the whole set (30.4% vs. 56.4% and 13.0% vs. 30.6%, respectively, p = 0.018).ConclusionsThis radiomics nomogram has potential application value in the preoperative prognostic prediction of intrahepatic cholangiocarcinoma and may facilitate in clinical decision-making.

【 授权许可】

CC BY