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使用超声波和机器学习预测乳腺癌新辅助化疗的疗效

Meihong Jia1, Huizhan Li1, Wenli Xiao1

  • 1Department of Ultrasonography, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China.

Ultrasound in medicine & biology
|January 24, 2026
PubMed
概括

使用超声波和临床病理学数据的机器学习模型准确地预测乳腺癌新辅助化疗 (NAC) 后的病理完整反应 (pCR). 这种非侵入性工具有助于个性化治疗规划和疗效评估.

关键词:
乳腺癌 乳腺癌 乳腺癌机器学习是机器学习.新辅助化学疗法新辅助化学疗法病理完整反应的病理完整反应.剪切波弹性成像 剪切波弹性成像超声波学 超声波学 超声波学

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