A comparison between radiomic biological age and chronological age in estimating kidney function
Radin Alikhani1, Steven R Horbal2, Manjunath P Pai3
1Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, MI, 48108, USA.
Scientific Reports
|April 18, 2025
Summary
New radiomic biological age indices, derived from body composition, slightly improved kidney function estimation compared to chronological age. This approach aids personalized pharmacotherapy by offering more precise aging-related kidney function assessment.
Area of Science:
- Biomedical Imaging
- Pharmacokinetics
- Gerontology
Background:
- Accurate kidney function estimation is crucial for patient care.
- Traditional markers like chronological age and body size have limitations.
- Emerging concepts of biological age and novel body size descriptors require investigation.
Purpose of the Study:
- To develop and evaluate novel biological age indices using radiomic biomarkers.
- To assess if these radiomic biological age indices improve kidney function estimation.
- To compare the performance of biological age indices against chronological age in pharmacokinetic modeling.
Main Methods:
- Retrospective analysis of hospitalized patients receiving aminoglycosides.
- Utilized computed tomography (CT) images for radiomic biomarker extraction.
- Constructed a population pharmacokinetic model with aminoglycoside clearance as a kidney function surrogate.
Main Results:
- A 1-compartment clearance model incorporating biological index, serum creatinine, and drug type provided the best fit.
- The optimal radiomic biological age model included dorsal muscle group area, bone mineral density, visceral fat area, and subcutaneous fat density.
- The radiomic biological age model demonstrated a modest improvement over the chronological age model in estimating aminoglycoside clearance.
Conclusions:
- Radiomic biomarkers can be used to create biological age indices reflecting age-related body composition changes.
- Biological age indices offer a potential for more precise estimation of kidney function in aging populations.
- This proof-of-concept study supports the use of radiomics for personalized pharmacotherapy.
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