Study Status: RECRUITING
Recruit Status: RECRUITING
Study Type: OBSERVATIONAL
Official Title: Development and Validation of a Machine-learning Model to Predict Lymph Node Metastasis of Intrahepatic Cholangiocarcinoma: a Retrospective Cohort Study.
Brief Summary: The object of this study is to develop a model for prediction of lymph node metastasis among intrahepatic cholangiocarcinoma (ICC) patients.
Intrahepatic cholangiocarcinoma is the second most common kind of primary liver cancer, accounting for approximately 10%-15%.
There is a lack of agreement regarding the necessity of performing lymph node dissection (LND) in patients with ICC.
Currently, the percentage of LND is below 50%, and the rate of sufficient LND (?6) has plummeted to less than 20%.
Consequently, a large proportion of patients are unable to acquire LN status, which hinders the following systematic treatment strategies after surgery:.
Therefore, our objective is to construct a LN metastasis model utilizing machine learning techniques, including patients' clinical data and pathology information, with the goal of offering a reference for patients who have not undergone LND or have had inadequate LND.