Prospects for the application of radiomics to brain tumors

Radiomics is a new branch in diagnostics based on a quantitative approach to medical imaging able to ensure more efficient use of medical equipment, optimize imaging time per patient, and increase the accuracy of differential diagnostics in various areas of medicine. Radiogenomics is a branch of rad...

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Main Authors: Olga S. Regentova, Roman A. Parkhomenko, Nikolay I. Sergeyev, Vladimir K. Bozhenko, Pavel V. Polushkin, Vladimir А. Solodkiy
Format: Article
Language:English
Published: Eco-Vector 2024-12-01
Series:Digital Diagnostics
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Online Access:https://jdigitaldiagnostics.com/DD/article/viewFile/625382/pdf
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author Olga S. Regentova
Roman A. Parkhomenko
Nikolay I. Sergeyev
Vladimir K. Bozhenko
Pavel V. Polushkin
Vladimir А. Solodkiy
author_facet Olga S. Regentova
Roman A. Parkhomenko
Nikolay I. Sergeyev
Vladimir K. Bozhenko
Pavel V. Polushkin
Vladimir А. Solodkiy
author_sort Olga S. Regentova
collection DOAJ
description Radiomics is a new branch in diagnostics based on a quantitative approach to medical imaging able to ensure more efficient use of medical equipment, optimize imaging time per patient, and increase the accuracy of differential diagnostics in various areas of medicine. Radiogenomics is a branch of radionics intended to establish a connection between the patient’s genotype and phenotypic presentation obtained from medical imaging. The review dwells on general issues for radiomics and radiogenomics in oncology with the recent study findings, focusing on the role of these methods in neurooncology and solving problems in diagnosing brain tumors. One of the current topics in neurooncology is disease prognosis in patients with unverified midline gliomas because morphological confirmation of the diagnosis and molecular genetic testing of tissues is impossible. Besides, the high spatial and temporal heterogeneity of malignant neoplasms prevents a complete assessment of the biological properties of the tumor and even using stereotactic biopsy methods. Radiomics methods can help doctors differentiate the tumor grade, acting as a “virtual biopsy” while avoiding invasive procedures. The study findings on radiomics and radiogenomics in neurooncology indicate the undeniable promise of these methods; however, as in other areas of medicine and biology, errors cannot be completely excluded, so the expert team must aim to minimize them.
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publishDate 2024-12-01
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spelling doaj-art-6e677d958ab34116aad95990090c19ec2025-08-20T03:02:36ZengEco-VectorDigital Diagnostics2712-84902712-89622024-12-015356757710.17816/DD62538276699Prospects for the application of radiomics to brain tumorsOlga S. Regentova0https://orcid.org/0000-0002-0219-7260Roman A. Parkhomenko1https://orcid.org/0000-0001-9249-9272Nikolay I. Sergeyev2https://orcid.org/0000-0003-4147-1928Vladimir K. Bozhenko3https://orcid.org/0000-0001-8351-8152Pavel V. Polushkin4https://orcid.org/0000-0001-6661-0280Vladimir А. Solodkiy5https://orcid.org/0000-0002-1641-6452Russian Scientific Center of RoentgenoradiologyRussian Scientific Center of RoentgenoradiologyRussian Scientific Center of RoentgenoradiologyRussian Scientific Center of RoentgenoradiologyRussian Scientific Center of RoentgenoradiologyRussian Scientific Center of RoentgenoradiologyRadiomics is a new branch in diagnostics based on a quantitative approach to medical imaging able to ensure more efficient use of medical equipment, optimize imaging time per patient, and increase the accuracy of differential diagnostics in various areas of medicine. Radiogenomics is a branch of radionics intended to establish a connection between the patient’s genotype and phenotypic presentation obtained from medical imaging. The review dwells on general issues for radiomics and radiogenomics in oncology with the recent study findings, focusing on the role of these methods in neurooncology and solving problems in diagnosing brain tumors. One of the current topics in neurooncology is disease prognosis in patients with unverified midline gliomas because morphological confirmation of the diagnosis and molecular genetic testing of tissues is impossible. Besides, the high spatial and temporal heterogeneity of malignant neoplasms prevents a complete assessment of the biological properties of the tumor and even using stereotactic biopsy methods. Radiomics methods can help doctors differentiate the tumor grade, acting as a “virtual biopsy” while avoiding invasive procedures. The study findings on radiomics and radiogenomics in neurooncology indicate the undeniable promise of these methods; however, as in other areas of medicine and biology, errors cannot be completely excluded, so the expert team must aim to minimize them.https://jdigitaldiagnostics.com/DD/article/viewFile/625382/pdfmalignant tumorsradiomicsradiogenomicsartificial intelligencebrainneurooncology
spellingShingle Olga S. Regentova
Roman A. Parkhomenko
Nikolay I. Sergeyev
Vladimir K. Bozhenko
Pavel V. Polushkin
Vladimir А. Solodkiy
Prospects for the application of radiomics to brain tumors
Digital Diagnostics
malignant tumors
radiomics
radiogenomics
artificial intelligence
brain
neurooncology
title Prospects for the application of radiomics to brain tumors
title_full Prospects for the application of radiomics to brain tumors
title_fullStr Prospects for the application of radiomics to brain tumors
title_full_unstemmed Prospects for the application of radiomics to brain tumors
title_short Prospects for the application of radiomics to brain tumors
title_sort prospects for the application of radiomics to brain tumors
topic malignant tumors
radiomics
radiogenomics
artificial intelligence
brain
neurooncology
url https://jdigitaldiagnostics.com/DD/article/viewFile/625382/pdf
work_keys_str_mv AT olgasregentova prospectsfortheapplicationofradiomicstobraintumors
AT romanaparkhomenko prospectsfortheapplicationofradiomicstobraintumors
AT nikolayisergeyev prospectsfortheapplicationofradiomicstobraintumors
AT vladimirkbozhenko prospectsfortheapplicationofradiomicstobraintumors
AT pavelvpolushkin prospectsfortheapplicationofradiomicstobraintumors
AT vladimirasolodkiy prospectsfortheapplicationofradiomicstobraintumors