Using MRI Texture Analysis Machine Learning Models to Assess Graft Interstitial Fibrosis and Tubular Atrophy in Patients with Transplanted Kidneys

Using MRI Texture Analysis Machine Learning Models to Assess Graft Interstitial Fibrosis and Tubular Atrophy in Patients with Transplanted Kidneys

Objective: Interstitial fibrosis/tubular atrophy (IFTA) is a common, irreversible, and progressive form of chronic kidney allograft injury, and it is considered a critical predictor of kidney allograft outcomes. The extent of IFTA is estimated through a graft biopsy, while a non-invasive test is lac...

Full description

Bibliographic Details
Main Authors: Valeria Trojani, Filippo Monelli, Giulia Besutti, Marco Bertolini, Laura Verzellesi, Roberto Sghedoni, Mauro Iori, Guido Ligabue, Pierpaolo Pattacini, Paolo Giorgi Rossi, Marta Ottone, Alessia Piccinini, Gaetano Alfano, Gabriele Donati, Francesco Fontana
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Information
Subjects:
kidney
magnetic resonance
transplantation
radiomics
Online Access:https://www.mdpi.com/2078-2489/15/9/537

Internet

https://www.mdpi.com/2078-2489/15/9/537

Similar Items