Related Experiment Video
Updated: May 14, 2026

07:35
Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
Published on: June 23, 2015
Tc-99m DMSA Radiomics in CKD: Phenotype-Specific Cortical Signatures and a Morphological Predictor of Renal Function
Mustafa Demir1, Nihat Köylüce2, Davut Eren1
1Nephrology Department, Kayseri City Hospital, Şeker Mah. Muhsin Yazicioglu Bulvarı No:77, Kocasinan, 38080 Kayseri, Türkiye.
Diagnostics (Basel, Switzerland)
|May 13, 2026
Summary
Radiomic features from technetium-99m dimercaptosuccinic acid (Tc-99m DMSA) planar images can differentiate chronic kidney disease (CKD) subgroups. Certain radiomic features, like Centre of Mass Shift, may predict future kidney function decline.
Area of Science:
- Radiology
- Nephrology
- Medical Imaging Analysis
Background:
- Chronic kidney disease (CKD) diagnosis and progression monitoring are crucial.
- Technetium-99m dimercaptosuccinic acid (Tc-99m DMSA) scintigraphy is used to assess renal cortical uptake.
- Radiomics offers quantitative analysis of medical images to extract features beyond visual assessment.
Purpose of the Study:
- To evaluate radiomic features from Tc-99m DMSA planar images for distinguishing CKD subgroups.
- To assess the association between radiomic features and progressive renal function loss.
Main Methods:
- Retrospective analysis of 185 patients with CKD, categorized into three groups based on diabetes mellitus (DM) and hypertension (HTN) history.
- Intergroup comparisons using Kruskal-Wallis and Bonferroni-corrected post hoc tests.
- Exploratory analysis using Cox proportional hazards regression to correlate radiomic features with estimated glomerular filtration rate (eGFR) decline.
Main Results:
- Significant intergroup differences were found in intensity and texture-based radiomic features (e.g., Intensity Kurtosis, Mean Intensity).
- Morphological features showed limited differentiation between groups.
- Centre of Mass Shift was the only morphological feature significantly associated with time to ≥20% eGFR decline (HR: 0.74, p=0.015).
Conclusions:
- Radiomic features from Tc-99m DMSA images reveal quantitative differences in CKD subgroups, even with visually similar uptake.
- DMSA-derived radiomics may offer prognostic information regarding future eGFR decline, warranting further validation.
