# The value of an MRI‐based radiomics model in predicting the survival and prognosis of patients with extrahepatic cholangiocarcinoma

## TL;DR

This study shows that MRI-based radiomics models can accurately predict survival and prognosis for patients with extrahepatic cholangiocarcinoma.

## Contribution

The novel contribution is the development of radiomics models using MRI to predict 1-, 2-, and 3-year survival rates in ECC patients.

## Key findings

- The radiomics models achieved high accuracy in predicting survival rates with AUC values up to 1.000 in training sets.
- The Rad-score-based survival prediction model showed significant differences in mortality risk between high- and low-risk groups (p < 0.0001).

## Abstract

The study aimed to establish radiomics models based on magnetic resonance imaging (MRI) multiparameter images to predict the survival and prognosis of patients with extrahepatic cholangiocarcinoma (ECC).

Seventy‐eight patients with ECC confirmed by pathology were collected retrospectively. The radiomics model_a/b/c were constructed based on the 1/2/3‐year survival of patients with ECC. The best texture features were selected according to postoperative survival time and ECC patient status to calculate the radiomics score (Rad‐score). A cutoff value was selected, and patients were divided into high‐risk and low‐risk groups.

Model_a, model_b, and model_c were used to predict 1‐, 2‐, and 3‐year postoperative survival rates, respectively. The area under the curve values in the training and test groups were 1.000 and 0.933 for model_a, 0.909 and 0.907 for model_b, 1.000 and 0.975 for model_c, respectively. The survival prediction model based on the Rad‐score showed that the postoperative mortality risk differed significantly between risk groups (p < 0.0001).

The MRI radiomics model could be used to predict the survival and prognosis of patients with ECC.