Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals

Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals

Abstract Assessment of daily creatinine production and excretion plays a crucial role in the estimation of renal function. Creatinine excretion is estimated by creatinine excretion equations and implicitly in eGFR equations like MDRD and CKD-EPI. These equations are however unreliable in patients wi...

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Bibliographic Details
Main Authors: Tobias T. Pieters, W. B. Veldhuis, P. Moeskops, B. D. de Vos, M. C. Verhaar, S. Haitjema, A. D. R. Huitema, M. B. Rookmaaker
Format: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-13145-w

Internet

https://doi.org/10.1038/s41598-022-13145-w

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