De Stefano N, Caramanos Z, Preul M C, Francis G, Antel J P, Arnold D L
Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, Quebec, Canada.
Ann Neurol. 1998 Aug;44(2):273-8. doi: 10.1002/ana.410440222.
We used computer pattern recognition of proton magnetic resonance spectroscopic image data to differentiate between brain tumors and large, isolated, demyelinating lesions of the type seen in multiple sclerosis. Leave-one-out linear discriminant analyses correctly classified resonance profiles from five acute demyelinating lesions, 20 low-grade astrocytomas, 22 anoplastic astrocytomas, and 24 glioblastomas. Classification of nonacute lesions will require further development, as the metabolic profiles of demyelinating lesions evolve over time.
我们利用质子磁共振波谱图像数据的计算机模式识别技术,来区分脑肿瘤与多发性硬化症中所见类型的大型孤立性脱髓鞘病变。留一法线性判别分析正确地对来自5个急性脱髓鞘病变、20个低级别星形细胞瘤、22个间变性星形细胞瘤和24个胶质母细胞瘤的共振谱进行了分类。由于脱髓鞘病变的代谢谱会随时间演变,非急性病变的分类还需要进一步发展。