La Radiologia medica · 2024
Recent trends in AI applications for pelvic MRI: a comprehensive review.
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Tsuboyama Takahiro, Yanagawa Masahiro, Fujioka Tomoyuki, Fujita Shohei, Ueda Daiju, Ito Rintaro, Yamada Akira, Fushimi Yasutaka, Tatsugami Fuminari, Nakaura Takeshi, Nozaki Taiki, Kamagata Koji, Matsui Yusuke, Hirata Kenji, Fujima Noriyuki, Kawamura Mariko, Naganawa Shinji
Аннотация
Magnetic resonance imaging (MRI) is an essential tool for evaluating pelvic disorders affecting the prostate, bladder, uterus, ovaries, and/or rectum. Since the diagnostic pathway of pelvic MRI can involve various complex procedures depending on the affected organ, the Reporting and Data System (RADS) is used to standardize image acquisition and interpretation. Artificial intelligence (AI), which encompasses machine learning and deep learning algorithms, has been integrated into both pelvic MRI and the RADS, particularly for prostate MRI. This review outlines recent developments in the use of AI in various stages of the pelvic MRI diagnostic pathway, including image acquisition, image reconstruction, organ and lesion segmentation, lesion detection and classification, and risk stratification, with special emphasis on recent trends in multi-center studies, which can help to improve the generalizability of AI.