Магнитно-резонансная томография при диагностике метастазов рака молочной железы в головной мозг (краткий обзор литературы)
https://doi.org/10.24835/1607-0763-1174
Аннотация
Рак молочной железы занимает 1-е место в структуре онкологической заболеваемости и смертности у женского населения в Российской Федерации и является второй по частоте метастазирования первичной солидной злокачественной опухолью после рака легких, а встречаемость этих, часто смертельных поражений в настоящее время увеличивается после улучшения системного лечения.
При этом прогноз пациенток, у которых развивается метастатическое поражение головного мозга, обычно неблагоприятный, так как немногие из них живут дольше 1 года.
Цель исследования: проанализировать последние исследования, относящиеся к вопросам применения магнитно-резонансная томографии при диагностике метастазов рака молочной железы в головной мозг.
Заключение. При наличии характерных результатов МРТ-исследований, указывающих на наличие возможных первичных глиом головного мозга, а не метастазов, необходимо хирургическое вмешательство (биопсия) для гистопатологических исследований с целью окончательного установления диагноза основного заболевания.
Об авторах
Г. А. ПаньшинРоссия
Паньшин Георгий Александрович – доктор медицинских наук, профессор, главный научный сотрудник
117997 ГСП-7, Москва, ул. Профсоюзная, д. 86
тел.: +7-495-333-93-41
Н. В. Нуднов
Россия
Нуднов Николай Васильевич – доктор медицинских наук, профессор, заместитель директора по научной работе, заведующий НИО комплексной диагностики заболеваний и радиотерапии
117997 ГСП-7, Москва, ул. Профсоюзная, д. 86
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Рецензия
Для цитирования:
Паньшин Г.А., Нуднов Н.В. Магнитно-резонансная томография при диагностике метастазов рака молочной железы в головной мозг (краткий обзор литературы). Медицинская визуализация. 2022;26(4):23-31. https://doi.org/10.24835/1607-0763-1174
For citation:
Panshin G.A., Nudnov N.V. Magnetic resonance imaging in the diagnosis of breast cancer metastases in the brain (a brief review of the literature). Medical Visualization. 2022;26(4):23-31. (In Russ.) https://doi.org/10.24835/1607-0763-1174