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Dataset Information

3D automatic liver and spleen assessment in predicting overt hepatic encephalopathy before TIPS: a multi-center study.


ABSTRACT:

Background

Overt hepatic encephalopathy (HE) should be predicted preoperatively to identify suitable candidates for transjugular intrahepatic portosystemic shunt (TIPS) instead of first-line treatment. This study aimed to construct a 3D assessment-based model to predict post-TIPS overt HE.

Methods

In this multi-center cohort study, 487 patients who underwent TIPS were subdivided into a training dataset (390 cases from three hospitals) and an external validation dataset (97 cases from another two hospitals). Candidate factors included clinical, vascular, and 2D and 3D data. Combining the least absolute shrinkage and operator method, support vector machine, and probability calibration by isotonic regression, we constructed four predictive models: clinical, 2D, 3D, and combined

SUBMITTER: Chen X 

PROVIDER: S-EPMC10661776 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature