Work

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

Year: 2025

Type: article

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.

Source: Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics)

DOI: 10.21508/1027-4065-2025-70-2(p.2)-17-20

Authors: F. O. Turov, S. P. Yatsyk, Z. Yu. Kuznetsova, A. I. Krapivkin, E. N. Vrublevskaya

Institutions: Russian Medical Academy of Continuous Professional Education, City Clinical Hospital No15 named. O. M. Filatova, Pirogov Russian National Research Medical University

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4409862736

FWCI:

Cites: 13

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Related to: 10