Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients.

ABSTRACT:

Background

The analytical renal pathology system (ARPS) based on convolutional neural networks has been used successfully in native IgA nephropathy (IgAN) patients. Considering the similarity of pathologic features, we aim to evaluate the performance of the ARPS in allograft IgAN patients and broaden its implementation.

Methods

Biopsy-proven allograft IgAN patients from two different centers were enrolled for internal and external validation. We implemented the ARPS to identify glomerular lesions and intrinsic glomerular cells, and then evaluated its performance. Consistency between the ARPS and pathologists was assessed using intraclass correlation coefficients. The association of digital pathological features with clinical and pathological data was measured. Kaplan-Meier s

SUBMITTER: Liu X 

PROVIDER: S-EPMC10911252 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature