Аннотация
Патологии плечевого сустава, особенно повреждения мягких тканей, представляют собой распространенную проблему, требующую точной и своевременной диагностики. В настоящее время «золотым стандартом» в визуализации повреждений плечевого сустава является МРТ. Однако интерпретация этого метода зачастую субъективна и зависит от опыта специалиста. Решением проблемы может стать текстурный анализ (ТА), основанный на количественной оценке МР-изображений, что позволяет дополнить и уточнить экспертную оценку. В обзоре рассматриваются современные исследования, посвященные применению ТА в диагностике патологий плечевого сустава. Анализируются различные методы ТА, а также их применение для оценки структур плечевого сустава, сравнивается эффективность автоматизированных подходов, основанных на машинном обучении, с экспертной интерпретацией МР-изображений, а также обсуждаются преимущества и ограничения анализа. Внедрение искусственного интеллекта, в частности методов ТА изображений, в клиническую практику является прогрессивным шагом в развитии медицинской диагностики. Это позволит подкреплять доводы врачей объективной оценкой, полученной на основании математических алгоритмов машинного обучения, что повысит не только диагностическую точность, но и поможет разработать более точную тактику лечения и профилактики различных патологий.
Для цитирования: Шабарова НС, Жиляков АА, Жиляков АВ, Волокитина ЕА. Применение текстурного анализа в диагностике патологий плечевого сустава: литературный обзор. Вестник УГМУ. 2025;10(1):e00133. DOI: https://doi.org/10.52420/usmumb.10.1.e00133. EDN: https://elibrary.ru/YKCESE.
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