Journal of Experimental and Clinical SurgeryJournal of Experimental and Clinical SurgeryВестник экспериментальной и клинической хирургии2070-478X2409-143XVoronezh State Medical University named after N.N. Burdenko181410.18499/2070-478X-2024-17-3-127-136Review of literatureОбзор литературыResearch ArticlePromising Directions in Radiation Diagnostics of Oncopathology – Potentials of Radiomics in Digital Analysis of Features of Hepatocellular CarcinomaПерспективные направления в лучевой диагностике онкопатологии – возможности радиомики в цифровом анализе особенностей гепатоцеллюлярной карциномыhttps://orcid.org/0000-0002-2348-49631288-6141StepanovaYulia A.СтепановаЮлия Александровна
Russian Federation

M.D., Professor, Scientific Secretary

доктор медицинских наук, профессор, ученый секретарь

stepanovaua@mail.ruhttps://orcid.org/0000-0001-5850-092XBabajanovaKristina A.БабаджановаКристина Азамовна
Russian Federation

postgraduate student

аспирант

christy.17.07.1996@gmail.comA.V. Vishnevsky National Medical Research Center of SurgeryНациональный медицинский исследовательский центр хирургии имени А.В. Вишневского180820241731271360205202427072024Copyright ©; 2024, Voronezh N.N. Burdenko State Medical UniversityCopyright ©; 2024, ФГБОУ ВО ВГМУ им. Н.Н. Бурденко Минздрава России2024Voronezh N.N. Burdenko State Medical UniversityФГБОУ ВО ВГМУ им. Н.Н. Бурденко Минздрава Россииhttps://vestnik-surgery.com/journal/about/editorialPolicieshttps://vestnik-surgery.com/journal/article/view/1814

In the structure of all malignant liver tumors, hepatocellular carcinoma accounts for 75-90% of cases and is a crucial issue for health care providers due to low survival rates. In most cases, this is due to late diagnosis, when the possibility of radical surgical treatment is excluded. In this context, a critical issue is not only the primary verification of the tumor, but also differential diagnostics, which allows optimizing tactical options for the treatment of hepatocellular carcinoma. One of the promising areas in modern radiation diagnostics is the technique of high-performance quantitative image analysis, which is called "Radiomics". The literature review highlights current trends in the use of artificial intelligence in diagnostics, dynamic monitoring and prognosis for hepatocellular carcinoma. Despite achievements in this field, the problem of using artificial intelligence in digital visualization of liver tumors is still far from being solved. To maximize the usefulness of this non-invasive diagnostic analysis, further research is required.

В структуре всех злокачественных опухолей печени гепатоцеллюлярная карцинома занимает 75-90% случаев и представляет собой серьезную проблему для здравоохранения, ввиду низких показателей выживаемости. В большинстве случаев это связано с поздней диагностикой, когда исключается возможность радикального хирургического лечения. На этом фоне важным аспектом является не только первичная верификация опухоли, но и дифференциальная диагностика, которая позволяет оптимизировать тактические варианты лечения гепатоцеллюлярной карциномы. Одним из перспективных направлений в современной лучевой диагностике является методика высокопроизводительного анализа количественных характеристик изображения, которая получила название «Радиомика». В обзоре литературы освещены современные тренды по применению искусственного интеллекта в диагностике, динамическому мониторингу и прогнозированию гепатоцеллюлярной карциномы. Несмотря на достигнутые успехи в этом направлении проблема использования искусственного интеллекта в цифровой визуализации опухолей печени еще далека от решения. Чтобы максимизировать полезность этого неинвазивного диагностического анализа требуется продолжение научных исследований.

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