AIMC Topic: Glomerular Basement Membrane

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AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases.

Computer methods and programs in biomedicine May 7, 2025
BACKGROUND AND OBJECTIVE: Measuring the thickness of the glomerular basement membrane (GBM) and assessing the percentage of podocyte foot process effacement (%PFPE) are important for diagnosing non-neoplastic kidney diseases. However, when performed ...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Kidney Diseases Biopsy Kidney Glomerulus Microscopy, Electron Podocytes Glomerular Basement Membrane
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A Novel Deep Learning Approach for Analyzing Glomerular Basement Membrane Lesions in a Mouse Model of X-Linked Alport Syndrome.

The American journal of pathology Oct 18, 2024
Alport syndrome is a rare kidney disease typically more severe in males due to its X-linked inheritance. However, female patients with heterozygous X-linked Alport syndrome (XLAS) can develop renal failure over time, necessitating accurate pathologic...
Female Animals Deep Learning Mice Disease Models, Animal Collagen Type IV Glomerular Basement Membrane Nephritis, Hereditary
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Development of an automated estimation of foot process width using deep learning in kidney biopsies from patients with Fabry, minimal change, and diabetic kidney diseases.

Kidney international Sep 27, 2023
Podocyte injury plays a key role in pathogenesis of many kidney diseases with increased podocyte foot process width (FPW), an important measure of podocyte injury. Unfortunately, there is no consensus on the best way to estimate FPW and unbiased ster...
Humans Deep Learning Diabetes Mellitus, Type 2 Diabetic Nephropathies Biopsy Glomerular Basement Membrane
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