Modern concept of using imaging methods in radionuclide kidney studies in children
Renal scintigraphy remains the most informative method for imaging and assessing kidney function in children to this day. This method allows for the detection of scarring foci in the renal parenchyma and enables the prediction of the progression of chronic kidney disease. The ability of artificial intelligence to transform routine medical imaging into a fully automated diagnostic tool is currently being widely explored. In addition to qualitative analysis performed on renal medical imaging, texture analysis has been integrated with machine learning methods as a quantitative assessment of renal tissue heterogeneity, providing a promising additional tool in predicting renal function decline.
Authors
- Е. N. Vrublevskaya (ORCID: https://orcid.org/0000-0001-7312-5945)
- S.P. Yatsyk (ORCID: https://orcid.org/0000-0001-6966-1040)
- А. И. Крапивкин (ORCID: https://orcid.org/0000-0002-4653-9867)
- F. O. Turov (ORCID: https://orcid.org/0000-0002-9301-7586)
- Z. Yu. Kuznetsova
Institutions
- Pirogov Russian National Research Medical University (RU)
- Center for Children (US)
- City Clinical Hospital No15 named. O. M. Filatova (RU)
Publication Details
- Journal
- Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)
- Published
- 2025-04-27
- DOI
- https://doi.org/10.21508/1027-4065-2025-70-2(p.2)-17-20
- Primary Topic
- Pediatric Urology and Nephrology Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00