An automated computational image analysis pipeline for histological grading of cardiac allograft rejection.

ABSTRACT:

Aim

Allograft rejection is a serious concern in heart transplant medicine. Though endomyocardial biopsy with histological grading is the diagnostic standard for rejection, poor inter-pathologist agreement creates significant clinical uncertainty. The aim of this investigation is to demonstrate that cellular rejection grades generated via computational histological analysis are on-par with those provided by expert pathologists.

Methods and results

The study cohort consisted of 2472 endomyocardial biopsy slides originating from three major US transplant centres. The 'Computer-Assisted Cardiac Histologic Evaluation (CACHE)-Grader' pipeline was trained using an interpretable, biologically inspired, 'hand-crafted' feature extraction approach. From a menu of 154 quantitative histo

SUBMITTER: Peyster EG 

PROVIDER: S-EPMC8216729 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature