aceNon-contrast CT radiomics for identifying nonfunctioning kidneys: a multicenter development and external validation study
In urological practice, the decision to resect or preserve a kidney with obstruction, tumor or atrophy is based on split renal function, although SPECT renal dynamic scintigraphy as the reference standard is resource-intensive. We developed and externally validated a non-contrast CT radiomics model to identify nonfunctioning kidneys and support urological decision-making in this setting. In this three-center retrospective study (TRIPOD+AI), adults underwent non-contrast CT and SPECT renal dynamic scintigraphy wi…
A radiomics machine learning model using routine non-contrast CT identified nonfunctioning kidneys with high negative predictive value, potentially reducing unnecessary SPECT scintigraphy and informing nephrectomy versus kidney-sparing decisions.
The study is retrospective, and the advantage over the combined baseline was not statistically significant in one external cohort. External sensitivity of the random forest at fixed thresholds was lower than internally.
Evidence
- Peer-reviewedInternational Urology and Nephrology2026-10-20
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Truvace Impact Record TRV-2026-2114, v1: “Non-contrast CT radiomics for identifying nonfunctioning kidneys: a multicenter development and external validation study.” Truvace, 2026-10-21. /record/TRV-2026-2114 (accessed at citation time). sha256 a77580e7d051083b…
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