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Brief Title: MRI-based Clinico-radiomics Predicting Lymph Node Metastasis Status of Hilar Cholangiocarcinoma
Official Title: Evaluation of a MRI-based Clinico-radiomics Model in Predicting Lymph Node Metastasis Status of Hilar Cholangiocarcinoma Patients: a Prospective Diagnostic Study
Study ID: NCT05626127
Brief Summary: This is a prospective, observational diagnostic study aiming to assess multiparametric MRI-based clinico-radiomics for identifying lymph node metastasis status in hilar cholangiocarcinoma.
Detailed Description: 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.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
Name: Chao Liu, PhD
Affiliation: Department of Biliary and Pancreatic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Role: PRINCIPAL_INVESTIGATOR