Brain Magnetic Resonance Imaging Radiomic Signature and Machine Learning Model Prediction of Hepatic Encephalopathy in Adult Cirrhotic Patients
The machine learning algorithms implemented provide a robust modeling technique for deriving valuable insights from brain MR images in cirrhotic patients and this can serve as an imaging tool valuable for the assessment of the burden of hepatic encephalopathy.
Authors
- Anna Pichiecchio (ORCID: https://orcid.org/0000-0002-5654-4088)
- Gianvincenzo Sparacia (ORCID: https://orcid.org/0000-0002-4787-1634)
- Giulia Colelli (ORCID: https://orcid.org/0009-0005-2325-338X)
- Roberto Miraglia (ORCID: https://orcid.org/0000-0001-8835-0977)
- Giuseppe Parla (ORCID: https://orcid.org/0000-0001-9973-2946)
- Giuseppe Mamone (ORCID: https://orcid.org/0000-0002-5100-463X)
- Luigi Maruzzelli (ORCID: https://orcid.org/0000-0002-4807-9219)
- Vincenzina Lo Re (ORCID: https://orcid.org/0000-0002-5313-5166)
- Federica Avorio
Institutions
- University of Pavia (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione (IT)
- University of Palermo (IT)
Publication Details
- Journal
- Life
- Published
- 2025-02-22
- DOI
- https://doi.org/10.3390/life15030346
- Citations
- 6
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 7.93