ldtЛучевая диагностика и терапияDiagnostic radiology and radiotherapy2079-5343Baltic Medical Education Center10.22328/2079-5343-2023-14-4-7-18ldt-934Research ArticleОБЗОРЫREVIEWSТекстурный анализ КТ- и МР-изображений в дифференциальной диагностике почечно-клеточного рака: обзорTexture analysis of CT- and MR-Images in the differential diagnosis of renal cell carcinoma: a reviewhttps://orcid.org/0000-0001-8723-8916КарельскаяН. А.KarelskayaN. A.

Карельская Наталья Александровна — кандидат медицинских наук, старший научный сотрудник

117997, Москва, ул. Большая Серпуховская, д. 27

Natalia A. Karelskaya — Cand. of Sci. (Med.), senior researcher of Radiology Department

117997, Moscow, ul. Bol’shaya Serpukhovskaja, 27

karelskaya.n@yandex.ruhttps://orcid.org/0000-0003-0781-9898ГруздевИ. С.GruzdevI. S.

Груздев Иван Сергеевич — научный сотрудник

117997, Москва, ул. Большая Серпуховская, д. 27

Ivan S. Gruzdev — researcher of Radiology Department

117997, Moscow, ul. Bol’shaya Serpukhovskaja, 27

gruzdev_van@mail.ruhttps://orcid.org/0000-0002-1527-670XРагузинаВ. Ю.RaguzinaV. Yu.

Рагузина Влада Юрьевна — младший научный сотрудник

117997, Москва, ул. Большая Серпуховская, д. 27

Vlada Yu. Ragizina — junior researcher of Radiology Department

117997, Moscow, ul. Bol’shaya Serpukhovskaja, 27

vlada94@bk.ruhttps://orcid.org/0000-0002-9357-0998КармазановскийГ. Г.KarmazanovskyG. G.

Кармазановский Григорий Григорьевич — доктор медицинских наук, академик РАН, профессор, заведующий отделом лучевых методов диагностики и лечения

117997, Москва, ул. Большая Серпуховская, д. 27

Grigory G. Karmazanovsky — Dr. of Sci. (Med.), Academician of the Russian Academy of Sciences, professor, Head of the Department of Radiological Methods of Diagnosis and Treatment

117997, Moscow, ul. Bol’shaya Serpukhovskaja, 27

karmazanovsky@yandex.ruНациональный медицинский исследовательский центр хирургии имени А. В. ВишневскогоРоссияA. V. Vishnevsky National Medical Research Center for SurgeryRussian Federation202316012024144718Copyright © Карельская Н.А., Груздев И.С., Рагузина В.Ю., Кармазановский Г.Г., 20242024Карельская Н.А., Груздев И.С., Рагузина В.Ю., Кармазановский Г.Г.Karelskaya N.A., Gruzdev I.S., Raguzina V.Y., Karmazanovsky G.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://radiag.bmoc-spb.ru/jour/article/view/934

ВВЕДЕНИЕ: Почечно-клеточный рак (ПКР) — гетерогенная группа заболеваний. Наиболее распространенным типом ПКР является светлоклеточный ПКР. Биопсия опухоли является «золотым» стандартом верификации онкологического диагноза, однако при ПКР может давать неудовлетворительный результат вследствие характерной гетерогенности структуры ПКР. Неинвазивные методы диагностики — компьютерная томография и магнитно-резонансная томография — в сочетании с применением метода текстурного анализа потенциально могут дать большой объем информации о структуре опухоли почки и предположительной степени ее дифференцировки (грейде).ЦЕЛЬ: Провести анализ публикаций, посвященных текстурному анализу при ПКР, возможностям и перспективам применения этого метода для увеличения информативности КТ- и МР-исследований.МАТЕРИАЛЫ И МЕТОДЫ: В нашем обзоре представлены данные, полученные из доступных источников PubMed, Scopus и Web of Science, опубликованных до марта 2022 года включительно, найденные с помощью ключевых слов: почечно-клеточный рак, КТ, МРТ, текстурный анализ, радиомика на русском и английском языках.РЕЗУЛЬТАТЫ: В литературном обзоре описаны методики текстурного анализа: выбор области интереса, модальности и фазы исследования, диагностической задачи. По результатам опубликованных научных работ авторы приходят к выводу, что применение текстурного анализа позволяет с высокой чувствительностью, специфичностью и точностью предсказать грейд ПКР, а также проводить дифференциальную диагностику ПКР с другими образованиями почек, прежде всего ангиомиолипомами с низким содержанием жира.ЗАКЛЮЧЕНИЕ: Применение текстурного анализа согласно опубликованным материалам является крайне перспективным для неинвазивного прогнозирования грейда ПКР и его дифференциальной диагностики, однако различие методик и отсутствие стандартизации проведения текстурного анализа требует проведения дополнительных исследований.

INTRODUCTION: Renal cell carcinoma (RCC) is a heterogeneous group of diseases. The most common type of RCC is clear cell RCC. Tumor biopsy is the «gold» standard for verifying the diagnosis, however, it can be unsatisfactory due to the characteristic heterogeneity of the RCC structure. Non-invasive diagnostic methods — computed tomography and magnetic resonance imaging — in combination with the use of texture analysis can potentially provide a large amount of information about the structure of the kidney tumor and the presumed degree of its differentiation (grade).OBJECTIVE: Тo analyze publications devoted to texture analysis in RCC, the possibilities and prospects of using this method to increase the information content of CT and MR studies.MATERIALS AND METHODS: Our review presents data obtained from available sources PubMed, Scopus and Web of Science, published up to March 2022 inclusive, found using the keywords: renal cell carcinoma, CT, MRI, texture analysis, radiomics in Russian and English.RESULTS: The literature review describes the methods of texture analysis: selection of the region of interest, modality and contrast phase of the study, diagnostic aim. Based on the results of published scientific papers, the authors conclude that the use of texture analysis makes it possible to predict the grade of RCC with high sensitivity, specificity and accuracy, as well as to make a differential diagnosis of RCC with other kidney neoplasias, primarily lipid poor angiomyolipomas.CONCLUSION: The use of texture analysis based on published materials is extremely promising for non-invasive prediction of RCC grade and its differential diagnosis, however, the difference in methods and the lack of standardization of texture analysis requires additional research.

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