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首页> 外文期刊>Epilepsia: Journal of the International League against Epilepsy >Lateralization of temporal lobe epilepsy (TLE) and discrimination of TLE from extra-TLE using pattern analysis of magnetic resonance spectroscopic and volumetric data.
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Lateralization of temporal lobe epilepsy (TLE) and discrimination of TLE from extra-TLE using pattern analysis of magnetic resonance spectroscopic and volumetric data.

机译：使用磁共振波谱和体积数据的模式分析，颞叶癫痫（TLE）的侧向化和TLE与额外TLE的区分。

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PURPOSE: 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). METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
机译：目的：检查磁共振容积（MRVol）和质子磁共振波谱成像（1H-MRSI）数据的模式分析是否将使（a）颞叶癫痫（TLE）的精确侧向化和（b）鉴别颞外癫痫病（E-TLE）。方法：对于偏侧化分析，我们使用了150例非外源性组织性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）]。为了区分TLE和E-TLE，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TL和Extra-TL区域的广泛致癫痫区-多叶癫痫）。使用MRVol和1H-MRSI数据集执行了一系列“留一法”交叉验证的线性判别分析，以横向化TLE并将其与E-TLE区分。结果：横向化：留一法线性判别分析能够正确地对134名L-TLE和R-TLE患者中的120个（90％）进行横向化（后验概率> 0.50）。施加更高的后验概率（> 0.95），使偏侧化的准确性提高到98％，只有2例不协调的病例在脑电图一侧接受了手术，并且均具有不良的预后。区分：留一法线性判别分析能够正确分类159名TLE和E-TLE患者中的142名（后验概率> 0.50）142名（89％）。由于采用了更高的后验概率临界值，因此准确度略有提高，而被分类的患者较少。结论：1H-MRSI和MRVol数据的模式分析可以准确地使TLE侧面化。将TLE与E-TLE区分的准确性较差，这可能是由于某些反映双重病理的E-TLE患者存在颞叶损伤。

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