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.

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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
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article

Modern concept of using imaging methods in radionuclide kidney studies in children

Е. N. Vrublevskaya, S.P. Yatsyk, А. И. Крапивкин, F. O. Turov et al.
Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)
Pediatric Urology and Nephrology Studies
article

Modern concept of using imaging methods in radionuclide kidney studies in children

Е. N. Vrublevskaya, S.P. Yatsyk, А. И. Крапивкин, F. O. Turov, Z. Yu. Kuznetsova
article en

Abstract

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.

Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)Vol. 70(2/2)
Pirogov Russian National Research Medical University (RU), Center for Children (US), City Clinical Hospital No15 named. O. M. Filatova (RU)
Openalex Percentile: Top 88%
Pediatric Urology and Nephrology Studies
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