DWI-based radiomic signature: potential role for individualized adjuvant chemotherapy in intrahepatic cholangiocarcinoma after partial hepatectomy

Insights into Imaging

Qingguo Xie¹  Dong Kuang²  Xianlun Zou³  Yang Yang³  Xuemei Hu³  Guanjie Yuan³  Daoyu Hu³  Wei Zhou³  Yaqi Shen³  Zhen Li³  Qingpeng Zhang⁴ 

[1] Department of Biomedical Engineering, Huazhong University of Science and Technology;Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology;Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology;School of Data Science, City University of Hong Kong;

关键词: Individualized therapy;    Intrahepatic cholangiocarcinoma;    Prognosis;    Radiomics;   

DOI  :  10.1186/s13244-022-01179-7

来源: DOAJ

【 摘 要 】

Abstract Objectives To develop a diffusion-weighted imaging (DWI) based radiomic signature for predicting early recurrence (ER) (i.e., recurrence within 1 year after surgery), and to explore the potential value for individualized adjuvant chemotherapy. Methods A total of 124 patients with intrahepatic cholangiocarcinoma (ICC) were randomly divided into the training (n = 87) and the validation set (n = 37). Radiomic signature was built using radiomic features extracted from DWI with random forest. An integrated radiomic nomogram was constructed with multivariate logistic regression analysis to demonstrate the incremental value of the radiomic signature beyond clinicopathological-radiographic factors. A clinicopathological-radiographic (CPR) model was constructed as a reference. Results The radiomic signature showed a comparable discrimination performance for predicting ER to CPR model in the validation set (AUC, 0.753 vs. 0.621, p = 0.274). Integrating the radiomic signature with clinicopathological-radiographic factors further improved prediction performance compared with CPR model, with an AUC of 0.821 (95%CI 0.684–0.959) in the validation set (p = 0.01). The radiomic signature succeeded to stratify patients into distinct survival outcomes according to their risk index of ER, and remained an independent prognostic factor in multivariable analysis (disease-free survival (DFS), p < 0.0001; overall survival (OS), p = 0.029). Furthermore, adjuvant chemotherapy improved prognosis in high-risk patients defined by the radiomic signature (DFS, p = 0.029; OS, p = 0.088) and defined by the nomogram (DFS, p = 0.031; OS, p = 0.023), whereas poor chemotherapy efficacy was detected in low-risk patients. Conclusions The preoperative DWI-based radiomic signature could improve prognostic prediction and help to identify ICC patients who may benefit from postoperative adjuvant chemotherapy.

【 授权许可】

Unknown