Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.
Clin Cancer Res. 2018 Jun 1;24(11):2467-2469. doi: 10.1158/1078-0432.CCR-18-0011. Epub 2018 Feb 13.
mutation is of central importance in the diagnosis and treatment of gliomas. Fourier-transform infrared spectroscopy, in combination with a supervised machine-learning approach, can be used to detect metabolic alterations induced by mutations in a fraction of the time of conventional techniques. .
突变在胶质瘤的诊断和治疗中具有核心重要性。傅里叶变换红外光谱结合有监督机器学习方法,可用于检测突变引起的代谢改变,所需时间比传统技术少一半。