Cancer UrologyCancer UrologyОнкоурология1726-97761996-1812Publishing House ABV Press147810.17650/1726-9776-2021-17-4-165-175TOPICAL PROBLEMАКТУАЛЬНАЯ ТЕМАBosniak classification version 2019: updated algorithms for the diagnosis of cystic renal massesКлассификация Bosniak 2019: обновленные алгоритмы диагностики кистозных образований почекhttps://orcid.org/0000-0002-4030-3212GolbitsA. B.ГольбицА. Б.
Russian Federation

Aleksandra B. Golbits.

3 2nd Botkinskiy Proezd, Moscow 125284.

Гольбиц Александра Борисовна.

125284 Москва, 2-й Боткинский проезд, 3.

a_golbits@mail.comhttps://orcid.org/0000-0002-9474-1074KryanevaE. V.КряневаЕ. В.
Russian Federation

3 2nd Botkinskiy Proezd, Moscow 125284.

Крянева Елена Владимировна.

125284 Москва, 2-й Боткинский проезд, 3.

kryanevaelena@gmail.comhttps://orcid.org/0000-0001-8378-4338RubtsovaN. A.РубцоваН. А.
Russian Federation

3 2nd Botkinskiy Proezd, Moscow 125284.

Рубцова Наталья Алефтиновна.

125284 Москва, 2-й Боткинский проезд, 3.

rna17@yandex.ruhttps://orcid.org/0000-0002-3398-4128AlekseevB. Ya.АлексеевБ. Я.
Russian Federation

3 2nd Botkinskiy Proezd, Moscow 125284; 11 Volokolamskoe Shosse, Moscow 125080.

Алексеев Борис Яковлевич.

125284 Москва, 2-й Боткинский проезд, 3; 125080 Москва, Волоколамское шоссе, 11.

byalekseev@mail.ruhttps://orcid.org/0000-0001-8784-8415KaprinA. D.КапринА. Д.
Russian Federation

3 2nd Botkinskiy Proezd, Moscow 125284; 6 Miklukho-Maklaya St., Moscow 117198.

Каприн Андрей Дмитриевич.

125284 Москва, 2-й Боткинский проезд, 3; 117198 Москва, ул. Миклухо-Маклая, 6.

kaprin@mail.ruP.A. Hertzen Moscow Oncology Research Institute — branch of the National Medical Research Radiological Center, Ministry of Health of RussiaМосковский научно-исследовательский онкологический институт им. П.А. Герцена — филиал ФГБУ «Национальный медицинский исследовательский центр радиологии» Минздрава РоссииMedical Institute of Continuing Education, Moscow State University of Food ProductionМедицинский институт непрерывного образования ФГБОУ ВО «Московский государственный университет пищевых производств»Medical InstituteМедицинский институт ФГАОУ ВО «Российский университет дружбы народов»Peoples' Friendship University of Russia1012202117416517518082021021220212021https://oncourology.abvpress.ru/oncur/article/view/1478

The classification of cystic renal masses according to computed tomography data, which allows to stratify them depending on the risk of malignancy, was created by M.A. Bosniak in 1986 and modified in 1994. Various groups of researchers have carried out meta-analysis based on the results of applying the proposed classification during the time that has passed since the publication of the last version. Taking into account the information received, which revealed a number of limitations and disadvantages of the previously used method for systematizing renal cystic masses, as well as in connection with the development of medical imaging methods, updated diagnostic algorithms were formulated, which served as the basis for the Bosniak 2019 classification. It is expected that the use of Bosniak 2019 will optimize stratification renal lesions of the cystic structure and reduce the number of removed benign tumors, can be used as a basis for the future research to further improve the classification and its congruence with the requirements of clinical specialists.

Классификация кистозных образований почек по данным компьютерной томографии, позволяющая стратифицировать их в зависимости от риска малигнизации, была создана M.A. Bosniak в 1986 г. и модифицирована в 1994 г. За время, прошедшее с момента публикации последней версии, разными группами исследователей неоднократно проводился обобщенный анализ результатов применения предложенной классификации. С учетом полученной информации, выявившей ряд ограничений и недостатков применяемого ранее способа систематизации кистозных образований почек, а также в связи с развитием методов медицинской визуализации были сформулированы обновленные алгоритмы диагностики, послужившие базой для классификации Bosniak 2019. Ожидается, что использование классификации Bosniak 2019 позволит оптимизировать стратификацию очагов кистозной структуры и уменьшить количество удаляемых доброкачественных образований. Классификация Bosniak 2019 может быть применена в качестве основы будущих исследований для дальнейшего усовершенствования классификации и ее конгруэнтности требованиям клинических специалистов.

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