Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Journal:
BMC cancer
PMID:
34819043
Abstract
BACKGROUND: Radiomics may provide more objective and accurate predictions for extrahepatic cholangiocarcinoma (ECC). In this study, we developed radiomics models based on magnetic resonance imaging (MRI) and machine learning to preoperatively predict differentiation degree (DD) and lymph node metastasis (LNM) of ECC.
Authors
Keywords
Adenocarcinoma
Adult
Aged
Aged, 80 and over
Algorithms
Area Under Curve
Bile Duct Neoplasms
Cholangiocarcinoma
Female
Humans
Lymphatic Metastasis
Machine Learning
Magnetic Resonance Imaging
Male
Middle Aged
Neoplasm Grading
Predictive Value of Tests
Retrospective Studies
ROC Curve
Sensitivity and Specificity