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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Detalles Bibliográficos
Autores principales: Heise, Daniel, Schulze-Hagen, Maximilian, Bednarsch, Jan, Eickhoff, Roman, Kroh, Andreas, Bruners, Philipp, Eickhoff, Simon B., Brecheisen, Ralph, Ulmer, Florian, Neumann, Ulf Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306993/
https://www.ncbi.nlm.nih.gov/pubmed/34300246
http://dx.doi.org/10.3390/jcm10143079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306993/
https://www.ncbi.nlm.nih.gov/pubmed/34300246
http://dx.doi.org/10.3390/jcm10143079

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