Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGS

Fan Fan; Qian Liu; Jarcy Zee; Takaya Ozeki; Dawit Demeke; Yingbao Yang; Alton B. Farris; Bangcheng Wang; Manav Shah; Jackson Jacobs; Laura Mariani; Kyle Lafata; Jeremy Rubin; Yijiang Chen; Lawrence B. Holzman; Jeffrey B. Hodgin; Anant Madabhushi; Laura Barisoni; Andrew Janowczyk

doi:10.1101/2024.07.19.24310619

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Abstract

Visual scoring of tubular damage has limitations in capturing the full spectrum of structural changes and prognostic potential. We investigate if computationally quantified tubular features can enhance prognostication and reveal spatial relationships with interstitial fibrosis.

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Fan et al. (2024) studied this question.

synapsesocial.com/papers/68e5f940b6db64358758db39 https://doi.org/10.1101/2024.07.19.24310619

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Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGS

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Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGS

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