Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease

Bradie Ferguson; Madeleine S. Durkee; Rebecca Abraham; Junting Ai; Hui Li; Li Lan; Julian Bertini; Marcus R. Clark; Maryellen L. Giger

doi:10.1117/12.2582034

15 February 2021 Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease

Bradie Ferguson, Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Hui Li, Li Lan, Julian Bertini, Marcus R. Clark, Maryellen L. Giger

Author Affiliations +

Proceedings Volume 11603, Medical Imaging 2021: Digital Pathology; 116030E (2021) https://doi.org/10.1117/12.2582034
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Lupus nephritis (LuN) is an autoimmune disease characterized by chronic kidney inflammation, which can lead to loss of kidney function, known as end-stage renal disease. The cellular mechanisms causing this progression are not well-defined. Radiomic texture analysis was used to identify image features of biopsies from ESRD+ and ESRD- LuN patients. Each biopsy was stained with 6 markers to identify 5 cell classes in fluorescence confocal microscopy images. Image features associated with the CD20 stain (B lymphocytes), image summary metrics of mean and standard deviation, and 4 GLCM features were identified as most effective in classifying ESRD+/- biopsy images.

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Bradie Ferguson, Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Hui Li, Li Lan, Julian Bertini, Marcus R. Clark, and Maryellen L. Giger "Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease", Proc. SPIE 11603, Medical Imaging 2021: Digital Pathology, 116030E (15 February 2021); https://doi.org/10.1117/12.2582034

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