Kang K W, Lee D S, Cho J H, Lee J S, Yeo J S, Lee S K, Chung J K, Lee M C
Department of Nuclear Medicine, Seoul National University College of Medicine, Korea.
Neuroimage. 2001 Jul;14(1 Pt 1):1-6. doi: 10.1006/nimg.2001.0783.
A probabilistic atlas of the human brain (Statistical Probabilistic Anatomical Maps: SPAM) was developed by the international consortium for brain mapping (ICBM). It is a good frame for calculating volume of interest (VOI) in many fields of brain images. After calculating the counts in VOI using the product of probability of SPAM images and counts in FDG images, asymmetric indices (AI) were calculated and used for finding epileptogenic zones in mesial temporal lobe epilepsy (mTLE). FDG PET images from 18 surgically confirmed mTLE patients and 22 age-matched controls were spatially normalized to the average brain MRI template of ICBM. Counts from normalized PET images were multiplied with the probability of 12 VOIs from SPAM images in both temporal lobes. Finally AI were calculated on each pair of VOIs, and compared with visual assessment. If AI of mTLE patients were not within 2.9 standard deviation from those of normal control group (P < 0.008; Bonferroni correction for P < 0.05), epileptogenic zones were considered to be found successfully. The counts of VOIs in the normal control group were symmetric (AI < 4.3%, paired t test P > 0.05) except for those of the inferior temporal gyrus (P < 0.001). By AIs in six pairs of VOIs, PET in mTLE had deficit on one side (P < 0.05). Lateralization was correct in only 14/18 of patients by AI, but 17/18 were consistent with visual inspection. In three patients with normal AI, PET images were symmetric on visual inspection. The asymmetric indices obtained by taking the product of the statistical probability anatomical map and FDG PET, correlated well with visual assessment in mTLE patients. SPAM is useful for the quantification of VOIs in functional images.
人脑概率图谱（统计概率解剖图谱：SPAM）由国际脑图谱联盟（ICBM）开发。它是在脑图像多个领域计算感兴趣体积（VOI）的良好框架。在使用SPAM图像概率与FDG图像计数的乘积计算VOI中的计数后，计算不对称指数（AI）并用于寻找内侧颞叶癫痫（mTLE）中的致痫区。来自18例手术确诊的mTLE患者和22例年龄匹配对照的FDG PET图像在空间上被归一化到ICBM的平均脑MRI模板。将归一化PET图像的计数与来自SPAM图像的两侧颞叶12个VOI的概率相乘。最后在每对VOI上计算AI，并与视觉评估进行比较。如果mTLE患者的AI不在正常对照组的2.9个标准差范围内（P < 0.008；P < 0.05的Bonferroni校正），则认为成功找到了致痫区。正常对照组VOI的计数除颞下回外是对称的（AI < 4.3%，配对t检验P > 0.05）（P < 0.001）。通过六对VOI中的AI，mTLE患者的PET在一侧有缺损（P < 0.05）。通过AI，仅14/18的患者侧别定位正确，但17/18与视觉检查一致。在三名AI正常的患者中，PET图像在视觉检查中是对称的。通过将统计概率解剖图谱与FDG PET相乘获得的不对称指数与mTLE患者的视觉评估相关性良好。SPAM对于功能图像中VOI的量化很有用。
