Li L M, Caramanos Z, Cendes F, Andermann F, Antel S B, Dubeau F, Arnold D L
Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Epilepsia. 2000 Jul;41(7):832-42. doi: 10.1111/j.1528-1157.2000.tb00250.x.
To examine whether or not pattern analysis of magnetic resonance volumetric (MRVol) and proton magnetic resonance spectroscopic imaging (1H-MRSI) data would enable (a) the accurate lateralization of temporal lobe epilepsy (TLE) and (b) the discrimination of TLE from extratemporal epilepsy (E-TLE).
For lateralization analysis, we used data from 150 nonforeign tissue lesional TLE patients [88 left-sided (L-TLE), 46 right-sided (R-TLE), and 16 bilateral (Bi-TLE)]. For the discrimination of TLE from E-TLE, we used data from 174 patients (145 with unilateral TLE, 14 with unilateral E-TLE, and 15 with widespread epileptogenic zones involving both the TL and extra-TL regions-multilobar epilepsy). A series of "leave-one-out" cross-validated linear discriminant analyses were performed using the MRVol and 1H-MRSI data sets to lateralize TLE and discriminate it from E-TLE.
Lateralization: The leave-one-out linear discriminant analyses were able to correctly lateralize (with a posterior probability >0.50) 120 (90%) of the 134 L-TLE and R-TLE patients. Imposing higher posterior probability (>0.95) increased accuracy of lateralization to 98%, with only two discordant cases who underwent surgery on the side of electroencephalogram, and both had bad outcome. Discrimination: the leave-one-out linear discriminant analyses were able to correctly classify (with a posterior probability >0.50) 142 (89%) of the 159 TLE and E-TLE patients. Accuracy increased slightly as higher posterior probability cutoffs were imposed, with fewer patients being classified.
Pattern analysis of 1H-MRSI and MRVol data can accurately lateralize TLE. Discriminating TLE from E-TLE was less accurate, probably due to the presence of temporal lobe damage in some patients with E-TLE reflecting dual pathology.
研究磁共振容积成像(MRVol)和质子磁共振波谱成像(1H-MRSI)数据的模式分析是否能够(a)准确地对颞叶癫痫(TLE)进行定侧,以及(b)将TLE与颞叶外癫痫(E-TLE)区分开来。
对于定侧分析,我们使用了150例非外来组织病变性TLE患者的数据[88例左侧(L-TLE)、46例右侧(R-TLE)和16例双侧(Bi-TLE)]。为了将TLE与E-TLE区分开来,我们使用了174例患者的数据(145例单侧TLE、14例单侧E-TLE和15例涉及颞叶和颞叶外区域的广泛致痫区——多叶癫痫)。使用MRVol和1H-MRSI数据集进行了一系列“留一法”交叉验证线性判别分析,以对TLE进行定侧并将其与E-TLE区分开来。
定侧:“留一法”线性判别分析能够正确定侧(后验概率>0.50)134例L-TLE和R-TLE患者中的120例(90%)。将更高的后验概率(>0.95)作为标准可将定侧准确率提高到98%,只有两例不一致的病例在脑电图所示一侧接受了手术,且两者预后均不佳。区分:“留一法”线性判别分析能够正确分类(后验概率>0.50)159例TLE和E-TLE患者中的142例(89%)。随着更高的后验概率临界值的设定,准确率略有提高,但分类的患者数量减少。
1H-MRSI和MRVol数据的模式分析能够准确地对TLE进行定侧。将TLE与E-TLE区分开来的准确性较低,可能是由于一些E-TLE患者存在颞叶损伤,反映了双重病理情况。