Fiche publication
Date publication
juillet 2026
Journal
Kidney international reports
Auteurs
Membres identifiés du Cancéropôle Est :
Pr MARTIN Laurent
,
Dr ANSART Manon
,
Mr BARD Patrick
,
Pr PAINDAVOINE Michel
Tous les auteurs :
Ben Haberou M, Bard P, Gibier JB, Pereira De Almeida HG, Bamoulid J, Maanaoui M, Koenig A, Rabeyrin M, Gazeu A, Ezzahid S, Buron F, Picard C, Courivaud C, Felix SA, Paindavoine M, Tinel C, Lenain R, Martin L, Tarris G, Ansart M, Legendre M
Lien Pubmed
Résumé
The predictive value of Banff classification in protocol transplant biopsies without specific lesions is limited. Morphometry provides precise data on microstructures, surpassing semiquantitative scores but is time-consuming. This study evaluates whether automated morphometric analysis with deep learning can predict glomerular filtration rate at 3 years using machine learning.
Mots clés
artificial intelligence, deep learning, kidney biopsy, morphometry, prognosis, transplantation
Référence
Kidney Int Rep. 2026 07;11(7):106585
