urovestВестник урологииUrology Herald2308-6424Rostov State Medical University10.21886/2308-6424-2023-11-2-132-141urovest-728Research ArticleОБЗОРЫ ЛИТЕРАТУРЫREVIEWS ARTICLEРобот-ассистированные технологии для проведения таргетной биопсии предстательной железы: обзор литературыRobot-assisted technologies for targeted prostate biopsy: a literature reviewhttps://orcid.org/0000-0003-4511-5998КолонтаревК. Б.KolontarevK. B.

Константин Борисович Колонтарев — доктор медицинских наук; профессор кафедры урологии.

Москва

Konstantin B. Kolontarev — M.D., Dr.Sc.(Med); Prof., Dept. of Urology.

Moscow

kb80@yandex.ruhttps://orcid.org/0000-0002-4708-1683ГрицковИ. О.GritskovI. O.

Игорь Олегович Грицков — ординатор кафедры урологии.

Москва

Igor O. Gritskov — Resident, Dept. of Urology.

Moscow

grickoff@mail.ruhttps://orcid.org/0000-0003-3299-0574ГоворовА. В.GovorovA. V.

Александр Викторович Говоров — доктор медицинских наук; профессор кафедры урологии.

Москва

Alexander V. Govorov — M.D., Dr..Sc.(Med); Prof., Department of Urology.

Moscow

msmsu@msmsu.ruhttps://orcid.org/0000-0001-5468-0011ВасильевА. О.VasilievA. O.

Александр Олегович Васильев — кандидат медицинских наук; ассистент кафедры урологии.

Москва

Alexander O. Vasilyev — M.D., Cand..Sc.(Med); Assist.Prof., Department of Urology.

Moscow

alexvasilyev@me.comhttps://orcid.org/0000-0002-6096-5723ПушкарьД. Ю.PushkarD. Yu.

Дмитрий Юрьевич Пушкарь — доктор медицинских наук, профессор, академик РАН; заведующий кафедрой урологии.

Москва

Dmitry Yu. Pushkar — M.D., Dr.Sc.(Med), Full Prof., Acad. of the RAS; Head, Dept. of Urology.

Moscow

pushkardm@mail.ruМосковский государственный медико-стоматологический университет им. А.И. ЕвдокимоваРоссияYevdokimov Moscow State University of Medicine and DentistryRussian Federation202319072023112132143Copyright © Колонтарев К.Б., Грицков И.О., Говоров А.В., Васильев А.О., Пушкарь Д.Ю., 20232023Колонтарев К.Б., Грицков И.О., Говоров А.В., Васильев А.О., Пушкарь Д.Ю.Kolontarev K.B., Gritskov I.O., Govorov A.V., Vasiliev A.O., Pushkar D.Y.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.urovest.ru/jour/article/view/728

Важным аспектом в лечении любого онкологического заболевания является своевременная диагностика злокачественных новообразований. Правильная постановка диагноза во многом зависит от алгоритма получения биологического материала. Многие исследования показывают значимое повышение чувствительности и специфичности таргетного метода забора биоптата тканей по сравнению с системным. Однако из-за присутствия в данном алгоритме человеческого фактора возрастает число потенциальных ошибок, которые можно было бы решить при замене метода биопсии на высокотехнологичный. В данном литературном обзоре собрана информация из статей, содержащих данные о разработках в области робот-ассистированной таргетной биопсии. Проведён систематический поиск по базам данных PubMed и Scopus с включением в представленные материалы тех работ, которые свидетельствуют об экспериментах с полуавтоматическими роботическими комплексами. Описаны по данным литературы предпосылки к разработке прицельных полуавтоматических устройств для повышения чувствительности и специфичности диагностики рака предстательной железы. Проведён анализ публикаций, связанных с разработкой программного обеспечения для проведения таргетной биопсии и предназначенного для повышения чувствительности и специфичности данного метода диагностики.

One key aspect in treating any cancer is timely diagnosis and treatment. Obtaining the right diagnosis depends mainly on running the biopsy algorithm. Most studies show a significant increase in sensitivity and specificity in the targeted tissue sampling method compared to standard biopsy. The human factor can result in more medical errors. This can be solved by replacing the standard biopsy method with a more advanced one. The human factor is excluded from the biopsy sampling process using the semi-automatic robotic biopsy needle guidance. This paper presents a literature review development in robot assisted prostate biopsy. A literature review was performed using PubMed and Scopus databases. Papers reporting on experiments using semi-automatic robotic systems were included. Using the literature, we described the prerequisites for the development the software for semi-automatic targeted biopsy to increase the sensitivity and specificity of prostate cancer diagnosis.

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