This is a prospective, observational diagnostic study aiming to assess multiparametric MRI-based clinico-radiomics for identifying lymph node metastasis status in hilar cholangiocarcinoma.

A preoperative tool capable of predicting lymph node metastasis status in hilar cholangiocarcinoma is lacking and urgently needed for clinical practice. This study proposes to establish and evaluate a machine-learning algorithms of multiparametric MRI-based clinico-radiomics for identifying lymph node metastasis status in hilar cholangiocarcinoma. This study will investigate the relationship between radiomic depth information and tumor biological characteristics. The study includes the construction of capable MRI-based clinico-radiomics prediction model and the validation of the prediction model.

Inclusion Criteria:

1. The patient must sign an informed consent form;
2. Age 18-75 years old, both male and female;
3. ECOG performance status score (PS score) 0-2;
4. Hilar cholangiocarcinoma with resectable tumor lesions;
5. Complete the upper abdomen MRI examination before treatment;

Exclusion Criteria:

1. Accompanied with other primary malignant tumors;
2. Patients who have neoadjuvant chemotherapy or other tumor-targeted therapies;
3. Incomplete imaging or medical history data.

Patients who had resectable hilar cholangiocarcinoma and completed the upper abdomen MRI examination before surgery.