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Updated: Jul 25, 2026

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基于深度学习的预测TERT突变状态从MRI用于质瘤分子亚型的预测

Ting Zhu1, Xuhao Dai1, Xiaoqin Ge1

  • 1Department of Radiotherapy and Chemotherapy, The First Affiliated Hospital of Ningbo University, Ningbo, China.

Frontiers in neurology
|February 16, 2026
PubMed
概括

使用MRI的深度学习模型可以在质瘤患者中非侵入性地预测Telomerase Reverse Transcriptase (TERT) 促进子突变. 这有助于对高度质瘤进行个性化治疗计划.

关键词:
深度学习是一种深度学习.质瘤 质瘤 是一种分子预测分子预测精确的神经瘤学端粒酶逆转录酶的作用

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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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...