首页> 美国卫生研究院文献>Neuro-Oncology >TMOD-40. IN VIVO EVALUATION OF O6-METHYLGUANINE-DNA-METHYLTRANSFERASE (MGMT) PROMOTER METHYLATION STATUS FOR DE NOVO GLIOBLASTOMA PATIENTS USING DEEP LEARNING FEATURES
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TMOD-40. IN VIVO EVALUATION OF O6-METHYLGUANINE-DNA-METHYLTRANSFERASE (MGMT) PROMOTER METHYLATION STATUS FOR DE NOVO GLIOBLASTOMA PATIENTS USING DEEP LEARNING FEATURES

机译:TMOD-40。在使用深层学习特征的De Novo Glioblastoma患者的O6-甲基胍-DNA-甲基转移酶(MGMT)启动子甲基化状态的体内评价

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摘要

High expression of O6-methylguanine-DNA methyltransferase (MGMT) in glioblastoma is associated with resistance to temozolomide, as tumor cells lacking MGMT activity are significantly more sensitive to the cytotoxic effects of temozolomide. The MGMT promoter methylation status (MGMTpms) is typically determined as MGMT-methylated or MGMT-unmethylated. Some single-center studies have reported results ranging from 70–95% detection rates using MRI. We aim to further validate these findings using a multi-institutional data set. We hypothesize that transfer learning based features when integrated via machine learning may lead to non-invasive determination of MGMTpms.
机译:胶质母细胞瘤中O6-甲基胍-DNA甲基转移酶(MgMT)的高表达与替代灭菌血栓的抗性有关,因为缺乏MGMT活性的肿瘤细胞对替莫唑胺的细胞毒性作用明显更敏感。 MgMT启动子甲基化状态(MgMTPMS)通常被确定为MgMT-甲基化或MgMT-未溶质。一些单中心研究报告了使用MRI的70-95%检测率的结果。我们的目标是使用多机构数据集进一步验证这些发现。我们假设通过机器学习集成时,基于学习的特征可能导致MGMTPMS的非侵入性确定。

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