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基于机器学习的放射学来自多参数磁共振成像,用于预测宫癌中的淋巴结转移

Jing Liu1, Mingxuan Zhu1, Li Li1

  • 1Departments of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fuzhou 350014, Fujian, China.

Current medical imaging
|September 22, 2025
PubMed
概括

使用多参数MRI放射学的机器学习模型可以准确预测宫癌中淋巴结转移的情况. XGBoost模型表现最好,为患者的生存提供了预后价值.

关键词:
宫癌是发生在宫癌的原因之一.淋巴结转移是淋巴结的转移.机器学习是机器学习.磁共振成像 磁共振成像 磁共振成像

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...