15 February 2021Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease
Bradie Ferguson,1,2 Madeleine S. Durkee,2 Rebecca Abraham,2 Junting Ai,2 Hui Lihttps://orcid.org/0000-0003-3139-2898,2 Li Lan,2 Julian Bertini,2 Marcus R. Clark,2 Maryellen L. Giger2
1Univ. of Washington (United States) 2The Univ. of Chicago (United States)
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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, 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