Artificial intelligence can extract important features for diagnosing axillary lymph node metastasis in early breast cancer using contrast-enhanced ultrasonography

Artificial intelligence can extract important features for diagnosing axillary lymph node metastasis in early breast cancer using contrast-enhanced ultrasonography

Abstract Contrast-enhanced ultrasound (CEUS) plays a pivotal role in the diagnosis of primary breast cancer and in axillary lymph node (ALN) metastasis. However, the imaging features that are clinically crucial for lymph node metastasis have not been fully elucidated. Hence, we developed a bimodal m...

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Main Authors: Tomohiro Oshino, Ken Enda, Hirokazu Shimizu, Megumi Sato, Mutsumi Nishida, Fumi Kato, Yoshitaka Oda, Mitsuchika Hosoda, Kohsuke Kudo, Norimasa Iwasaki, Shinya Tanaka, Masato Takahashi
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-90099-9
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https://doi.org/10.1038/s41598-025-90099-9

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