CT-Based Prediction of Liver Function and Post-PVE Hypertrophy Using an Artificial Neural Network

CT-Based Prediction of Liver Function and Post-PVE Hypertrophy Using an Artificial Neural Network

Background: This study aimed to evaluate whether hypertrophy after portal vein embolization (PVE) and maximum liver function capacity (LiMAx) are predictable by an artificial neural network (ANN) model based on computed tomography (CT) texture features. Methods: We report a retrospective analysis on...

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Bibliographic Details
Main Authors: Daniel Heise, Maximilian Schulze-Hagen, Jan Bednarsch, Roman Eickhoff, Andreas Kroh, Philipp Bruners, Simon B. Eickhoff, Ralph Brecheisen, Florian Ulmer, Ulf Peter Neumann
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Clinical Medicine
Subjects:
liver function
liver volume
portal vein embolization
artificial neural network
computed tomography
Online Access:https://www.mdpi.com/2077-0383/10/14/3079

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https://www.mdpi.com/2077-0383/10/14/3079

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