Introduction

akusherstvo

Obstetrics, Gynecology and Reproduction

Акушерство, Гинекология и Репродукция

2313-73472500-3194

IRBIS LLC

10.17749/2313-7347/ob.gyn.rep.2023.440

akusherstvo-1768

Research Article

REVIEW ARTICLES

НАУЧНЫЕ ОБЗОРЫ

Magnetic resonance imaging in cervical cancer: current opportunities of radiomics analysis and prospects for its further developmen

Магнитно-резонансная томография при раке шейки матки: современные возможности радиомного анализа и перспективы развития методики

https://orcid.org/0000-0003-4768-115X

Солопова

А. Е.

Solopova

A. E.

Солопова Алина Евгеньевна – д.м.н., ведущий научный сотрудник отдела лучевой диагностики Национального медицинского исследовательского центра акушерства, гинекологии и перинатологии имени академика В.И. Кулакова; профессор кафедры акушерства, гинекологии и перинатальной медицины Клинического института детского здоровья имени Н.Ф. Филатова Сеченовского университета

Scopus Author ID: 24460923200 Researcher ID: P-8659-2015

117997 Москва, ул. академика Опарина, д. 4; 119991 Москва, ул. Большая Пироговская, д. 2, стр. 4

Alina E. Solopova – MD, Dr Sci Med, Leading Researcher, Radiology Department, Academician Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology; Professor, Department of Obstetrics, Gynecology and Perinatal Medicine, Filatov Clinical Institute of Children’s Health, Sechenov University

Scopus Author ID: 24460923200 Researcher ID: P-8659-2015

4 Academika Oparina Str., Moscow 117997, 2 bldg. 4, Bolshaya Pirogovskaya Str., Moscow 119991

dr.solopova@mail.ru

https://orcid.org/0000-0002-9810-3029

Носова

Ю. В.

Nosova

J. V.

Носова Юлия Витальевна – к.м.н., врач-специалист отделения акушерства и гинекологии

Дубай, Хадаэк Мухаммед Бин Рашид, Эль Барша Саут 3, ул. Хесса, д. 3/5

Julia V. Nosova – MD, PhD, Specialist in Obstetrics and Gynecology Department

3/5 Hessa Str., Al Barsha South 3, Hadaek Mohammed Bin Rashid, Dubai, United Arab Emirates

Бендженова

Б. Б.

Bendzhenova

B. B.

Бендженова Бова Батнасановна – врач акушер-гинеколог, онколог гинекологического отделения

125284 Москва, 2-й Боткинский проезд, д. 5

Bova B. Bendzhenova – MD, Obstetrician-Gynecologist, Oncologist, Gynecological Department

5 2nd Botkinsky Passage, Moscow 125284

ФГБУ «Национальный медицинский исследовательский центр акушерства, гинекологии и перинатологии имени академика В.И. Кулакова» Министерства здравоохранения Российской Федерации; ФГАОУ ВО Первый Московский государственный медицинский университет имени И.М. Сеченова Министерства здравоохранения Российской Федерации (Сеченовский университет)РоссияAcademician Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Health Ministry of Russian Federation; Sechenov UniversityRussian Federation

Саудовско-немецкий госпитальОбъединенные Арабские ЭмиратыSaudi German HospitalUnited Arab Emirates

ГБУЗ «Городская клиническая больница имени С.П. Боткина Департамента здравоохранения города Москвы»РоссияBotkin City Clinical Hospital, Moscow Healthcare DepartmentRussian Federation

2023

06092023

174500511

2023

Солопова А.Е., Носова Ю.В., Бендженова Б.Б.

Solopova A.E., Nosova J.V., Bendzhenova B.B.

Данная работа распространяется под лицензией Creative Commons Attribution 4.0.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://www.gynecology.su/jour/article/view/1768

Introduction

Introduction. Due to the dynamic development of modern imaging technologies in recent years, much attention has been paid to radiomics particularly texture analysis. The complexity of clinically evaluated tumor procession in cervical cancer (CC) accounts for a need to expand knowledge on applying medical imaging technologies in oncologic diagnostics spanning from predominantly qualitative analysis to a multiparametric approach, including a quantitative assessment of study parameters.

Aim

Aim: to analyze the literature data on the use of radiomics and image texture analysis in diagnostics and prediction of aggressiveness of oncogynecological diseases including СС.

Materials and Methods

Materials and Methods. A 2016–2023 systematic literature search was carried out in the PubМed/MEDLINE, eLibrary, Scopus databases, NCCN, ESUR, ACR resources. All publications on radiomics and image texture analysis used in CC diagnostics and prediction were investigated, with queries for key words and phrases in Russian and English: «cervical cancer», «radiomics»,

«texture analysis», «oncology». The study included full-text sources and literature reviews on the study subject. Duplicate publications were excluded.

Results

Results. The features and advantages of using radiomics and image texture analysis in CC diagnostics were summarized. The introduction of the radiomic approach has expanded the views on interpretation of medical imaging data. The radiomics-based parameters extracted from digital images revealed high informativeness in some studies that contribute to improving diagnostic accuracy as well as expanding opportunities for predicting therapeutic effectiveness in CC patients.

Conclusion

Conclusion. Radiomics used in diagnostics of oncogynecologic diseases including СС is one of the promising actively developing areas of analysis in radiology that requires to be further investigated.

Введение

Введение. В связи с развитием современных визуализационных технологий в последние годы большое внимание уделяется радиомике и, в частности, текстурному анализу. Сложности клинической оценки распространенности опухолевого процесса при раке шейки матки (РШМ) приводят к необходимости расширения знаний о применении технологий медицинской визуализации от преимущественно качественного анализа к мультипараметрическому подходу, включая количественную оценку исследуемых параметров.

Цель

Цель: проанализировать литературные данные по использованию радиомики и анализу текстур изображений при диагностике и прогнозировании агрессивности онкогинекологических заболеваний, в том числе РШМ.

Материалы и методы

Материалы и методы. В работе проведен систематический поиск литературы по базам данных PubМed/MEDLINE, eLibrary, Scopus, в ресурсах NCCN, ESUR, ACR; интервал поиска – 2016–2023 гг. Были изучены все опубликованные работы по использованию радиомики и анализу текстур изображений при диагностике и прогнозировании РШМ. Поиск проводили по ключевым словам и словосочетаниям на русском и английском языках: «рак шейки матки», «радиомика», «текстурный анализ», «онкология», «cervical cancer», «radiomics», «texture analysis», «oncology». В исследование были включены полнотекстовые источники и литературные обзоры по изучаемой тематике. Дублирующиеся публикации исключались.

Результаты

Результаты. Обобщены особенности и преимущества применения радиомики и анализа текстур изображений в диагностике РШМ. Внедрение радиомного подхода расширило взгляды на интерпретацию медицинских изображений. Параметры, извлекаемые из цифровых изображений на основе радиомики, в ряде исследований показали свою высокую информативность, что вносит вклад в повышение диагностической точности исследования, а также расширяет возможности прогнозирования эффективности лечения пациенток с РШМ.

Заключение

Заключение. Применение радиомики в диагностике в онкогинекологии, в том числе РШМ, является одним из перспективных, активно развивающихся направлений анализа в лучевой диагностике, требующее дальнейшего изучения.

рак шейки маткиРШМрадиомикатекстурный анализонкология

cervical cancerССradiomicstexture analysisoncology

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The authors declare that there are no conflicts of interest present.