Radiogenomics of breast cancer as new vector of interdisciplinary integration of radiation and molecular biological technologies (literature review)

Ni, Rozhkova; Боженко, В К; Burdina, I. I.; Zapirova, S. B.; Кудинова, Е А; Labazanova, P. G.; Mazo, M. L.; Mikushin, S. Yu.; Prokopenko, S. P.; Yakobs, O. E.

doi:10.33667/2078-5631-2020-20-21-29

Cited by 4 publications

(1 citation statement)

References 137 publications

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“…Рак молочных желёз -патология, которая чаще всего встречается у женщин во всём мире. Поскольку это известное гетерогенное заболевание, точный диагноз и раннее предсказание реакции на лечение являются ключевыми моментами клинической практики [47]. В нескольких исследованиях использовалась радиомика для прогнозирования подтипа рака груди или статуса ER, PR, Ki67 и HER2 на маммографии [48], ПЭТ/КТ [49,50] и МРТ [51,52].…”

Section: роль разработки биомаркеров визуализацииunclassified

The role of the quality control system for diagnostics of oncological diseases in radiomics: a review

Khoruzhaya

Николаевна²,

Ахмад

et al. 2021

Digital Diagnostics

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Modern medical imaging methods allow for both qualitative and quantitative evaluations of tumors and issues surrounding them. Advances in computer science and big data processing are transforming any radiological study into analytic datasets, especially with the use of machine learning in medical image analysis. Among these datasets, statistically significant correlations with clinical events can then be searched for to subsequently assess their predictive value and ability to predict a particular clinical outcome. This concept, known as radiomics, was first described in 2012. It is particularly important in oncology because each type of tumor can be subdivided into many different molecular genetic subtypes, and simple visual characteristics are no longer sufficient. Moreover, as an absolutely noninvasive method, radiomics can provide a radiologist with additional information that would otherwise be unavailable without a histological examination of biopsy material. However, as with any methodology based on the use of big data, the question of the quality of the initial data becomes critical, because this can directly affect the outcome of the analysis and provide incorrect diagnostic information. In this literature review, we examine potential approaches to ensuring the quality of research at all stages, from technical control of the state of diagnostic equipment to the extraction of imaging markers in oncology and the calculation of their correlation with clinical data.

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Section: роль разработки биомаркеров визуализацииunclassified

The role of the quality control system for diagnostics of oncological diseases in radiomics: a review

Khoruzhaya

Николаевна²,

Ахмад

et al. 2021

Digital Diagnostics

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The role of mammography in breast cancer radiomics

Govorukhina

Георгиевна²,

Semenov

et al. 2021

Digital Diagnostics

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Mammography is still the only screening method for breast cancer. Although digital mammography is the most common and widely used method for detecting breast cancer, it is ineffective at detecting and assessing intratumoral heterogeneity. Due to the small size of the tissue sample or tumor, biopsies often fail to represent the entire tumor. For this reason, selecting a treatment and determining a patients prognosis becomes difficult. In this case, medical imaging is a noninvasive approach that can provide a more comprehensive view of the entire tumor, act as a virtual biopsy, and be useful for monitoring disease progression and response to therapy. Radiomics with texture analysis allows you to look at an image as a group of numerical data, moving beyond the usual visual perception and into a deeper analysis of digital, pixel data to improve the accuracy of differential diagnosis. Radiogenomics is a natural extension of radiomics that focuses on determining gene expression based on radiologic tumor phenotype. The purpose of this review is to evaluate the role of mammography in breast cancer radiomics and radiogenomics. The article presents a literature review of relevant Russian scientific articles found in databases such as PubMed, Medline, Springer, eLibrary, and Google Scholar. The information obtained was then pooled, structured, and analyzed to examine the role of mammography in breast cancer screening radiomics.

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Radiogenomics in breast cancer: a review

Garanina,

Kholin

2024

Lučevaâ diagn. ter.

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INTRODUCTION: Early detection of breast cancer is essential in the diagnosis and treatment of this disease. The results of core biopsy, immunohistochemical methods or removed surgical specimens contributed to the identification of molecular markers. Currently, the attention of researchers is attracted by the anatomical and functional features of tumor tissue obtained using imaging methods. The correlation of specific phenotypes based on images (radiomics) with large-scale genomic analysis (genomics) is a new field of research called “radiogenomics” or, more precisely, “image genomics”. This new field examines the relationship between diagnostic methods and gene data, as well as with other clinically relevant information.OBJECTIVE: To analyze current trends in the development of radiogenomics in the study of breast cancer based on the literature data.MATERIALS AND METHODS: The medical literature was searched using information and analytical databases Cochrane, Medline, and Elibrary using the text search queries “radiogenomics of breast cancer”, “mammography and radiogenomics”, “magnetic resonance imaging and radiogenomics”, “ultrasonic radiogenomics”.RESULTS: We found strong evidence that there is a moderate relationship between imaging characteristics and genomic characteristics of breast cancer. However, the results obtained have a number of limiting factors that distort the overall picture.CONCLUSION: Precision medicine can be optimized based on the genotypic and phenotypic characteristics of the tumor. However, the development of this direction requires new research and the development of databases using a multicenter approach.

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Radiogenomics of breast cancer as new vector of interdisciplinary integration of radiation and molecular biological technologies (literature review)

Cited by 4 publications

References 137 publications

The role of the quality control system for diagnostics of oncological diseases in radiomics: a review

The role of the quality control system for diagnostics of oncological diseases in radiomics: a review

The role of mammography in breast cancer radiomics

Radiogenomics in breast cancer: a review

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