Research graph
References from The staging of perihilar cholangiocarcinoma: From anatomy to biology, condition, and beyond. Local targets link to admitted publications; unresolved targets remain external evidence.
Surgical morbidity in the first year after resection for perihilar cholangiocarcinoma
10.1016/j.hpb.2021.03.016 · 2021 · External reference
Machine-learning radiomics to predict early recurrence in perihilar cholangiocarcinoma after curative resection
10.1111/liv.14763 · 2021 · External reference
An ABC approach for preoperative staging in perihilar cholangiocarcinoma an international multicenter cohort study
2026 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Prediction meets causal inference: the role of treatment in clinical prediction models
10.1007/s10654-020-00636-1 · 2020 · External reference
The eighth edition AJCC cancer Staging Manual: continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging
2017 · External reference
Unresolved reference
2026 · External reference
New staging system and a registry for perihilar cholangiocarcinoma
10.1002/hep.24227 · 2011 · External reference
Intrahepatic cholangioenteric anastomosis in carcinoma of the hilus of the liver
1975 · External reference
New staging system and a registry for perihilar cholangiocarcinoma
10.1002/hep.24227 · ExternalCitation · doi-reference
Prediction meets causal inference: the role of treatment in clinical prediction models
10.1007/s10654-020-00636-1 · ExternalCitation · doi-reference
Surgical morbidity in the first year after resection for perihilar cholangiocarcinoma
10.1016/j.hpb.2021.03.016 · ExternalCitation · doi-reference
Machine-learning radiomics to predict early recurrence in perihilar cholangiocarcinoma after curative resection
10.1111/liv.14763 · ExternalCitation · doi-reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · ExternalCitation · doi-reference
