Application of radiomics in osteoporosis detection — current capabilities and future prospects (a review)
- Authors: Chugaev A.I.1,2, Vasilev Y.A.1, Petraikin A.V.1, Blokhin I.A.1, Vladzymyrskyy A.V.1, Omelyanskaya O.V.1
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Affiliations:
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
- MRI24
- Issue: Vol 6, No 1 (2025)
- Pages: 63-77
- Section: Reviews
- URL: https://ogarev-online.ru/DD/article/view/310053
- DOI: https://doi.org/10.17816/DD635014
- ID: 310053
Cite item
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Abstract
The prevalence of osteoporotic fractures continues to increase as the population ages due to demographic transition. This is particularly relevant for developed countries, including Russia. Radiomics may emerge as a valuable tool for osteoporosis detection.
This review demonstrates the development and application of radiomics in diagnosing oncological and non-oncological diseases including osteoporosis.
A literature search was conducted using the databases PubMed, Google Scholar, and eLibrary over the past 5 years. Data on the prevalence and epidemiology of osteoporosis were obtained from publications in the last 15 years. The search was performed using the following keywords: "radiomic", "osteoporosis", "texture", "magnetic resonance imaging", "computed tomography", "non-oncological radiomics", «магнитно-резонансная томография» ("magnetic resonance imaging"), «компьютерная томография» ("computed tomography"), «радиомика» ("radiomics"), «остеопороз» ("osteoporosis"), «текстурный анализ» ("texture analysis"), «радиомический анализ» ("radiomic analysis"). Data from original clinical studies were included. In total, 247 articles were found and analyzed. Finally, 59 studies were selected for the review.
The number of studies examining the potential of radiomics in detecting osteoporosis was limited. Further research is required to explore the potential of radiomic analysis using computed tomography and magnetic resonance imaging for detecting osteoporosis compared to established methods such as dual-energy X-ray absorptiometry and the FRAX (Fracture Risk Assessment Tool) algorithm.
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##article.viewOnOriginalSite##About the authors
Anton I. Chugaev
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies; MRI24
Author for correspondence.
Email: chugaev020379@yandex.ru
ORCID iD: 0009-0006-8930-9320
Russian Federation, Moscow; Moscow
Yuriy A. Vasilev
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
Email: VasilevYA1@zdrav.mos.ru
ORCID iD: 0000-0002-5283-5961
SPIN-code: 4458-5608
MD, Cand. Sci. (Medicine)
Russian Federation, MoscowAlexey V. Petraikin
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
Email: alexeypetraikin@gmail.com
ORCID iD: 0000-0003-1694-4682
SPIN-code: 6193-1656
MD, Dr. Sci. (Medicine)
Russian Federation, MoscowIvan A. Blokhin
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
Email: i.blokhin@npcmr.ru
ORCID iD: 0000-0002-2681-9378
SPIN-code: 3306-1387
MD, Cand. Sci. (Medicine)
Russian Federation, MoscowAnton V. Vladzymyrskyy
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
Email: VladzimirskijAV@zdrav.mos.ru
ORCID iD: 0000-0002-2990-7736
SPIN-code: 3602-7120
MD, Dr. Sci. (Medicine)
Russian Federation, MoscowOlga V. Omelyanskaya
Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
Email: OmelyanskayaOV@zdrav.mos.ru
ORCID iD: 0000-0002-0245-4431
SPIN-code: 8948-6152
Russian Federation, Moscow
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