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Proceedings Paper

Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models
Author(s): Aurijoy Majumdar; Kuang-Yu Jen; Sanjay Jain; John E. Tomaszewski; Pinaki Sarder
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Paper Abstract

In diabetic nephropathy (DN), hyperglycemia drives a progressive thickening of glomerular filtration surfaces, increased cell proliferation as well as mesangial expansion and a constriction of capillary lumens. This leads to progressive structural changes inside the Glomeruli. In this work, we make a study of structural glomerular changes in DN from a graph-theoretic standpoint, using features extracted from Minimal Spanning Trees (MSTs) constructed over intercellular distances in order to classify the “packing signatures” of different DN stages. We further investigate the significance of the competing effects of Volume change measured here in 2Dimensional Pixel span area (Area) on one hand and increased cell proliferation on the other in determining the packing patterns. Towards that we formulate the problem as Dynamic Bayesian Network (DBN). From our preliminary results we do postulate that volume expansion caused by internal pressure as capillary lumens constriction has perhaps has a greater effect in the early stages.

Paper Details

Date Published: 18 March 2019
PDF: 6 pages
Proc. SPIE 10956, Medical Imaging 2019: Digital Pathology, 1095608 (18 March 2019); doi: 10.1117/12.2513598
Show Author Affiliations
Aurijoy Majumdar, Univ. at Buffalo (United States)
Kuang-Yu Jen, Univ. of California, Davis (United States)
Sanjay Jain, Washington Univ. School of Medicine in St. Louis (United States)
John E. Tomaszewski, Univ. at Buffalo (United States)
Pinaki Sarder, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 10956:
Medical Imaging 2019: Digital Pathology
John E. Tomaszewski; Aaron D. Ward, Editor(s)

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