Service neuro-diagnostique et neuro-interventionnel DISIM, Hôpitaux Universitaires de Genève, Rue Gabrielle Perret-Gentil 4, 1211, Genève 14, Switzerland.
Eur Radiol. 2013 Jan;23(1):12-9. doi: 10.1007/s00330-012-2579-y. Epub 2012 Jul 15.
To diagnose Parkinson disease (PD) at the individual level using pattern recognition of brain susceptibility-weighted imaging (SWI).
We analysed brain SWI in 36 consecutive patients with Parkinsonism suggestive of PD who had (1) SWI at 3 T, (2) brain (123)I-ioflupane SPECT and (3) extensive neurological testing including follow-up (16 PD, 67.4 ± 6.2 years, 11 female; 20 OTHER, a heterogeneous group of atypical Parkinsonism syndromes 65.2 ± 12.5 years, 6 female). Analysis included group-level comparison of SWI values and individual-level support vector machine (SVM) analysis.
At the group level, simple visual analysis yielded no differences between groups. However, the group-level analyses demonstrated increased SWI in the bilateral thalamus and left substantia nigra in PD patients versus other Parkinsonism. The inverse comparison yielded no supra-threshold clusters. At the individual level, SVM correctly classified PD patients with an accuracy above 86 %.
SVM pattern recognition of SWI data provides accurate discrimination of PD among patients with various forms of Parkinsonism at an individual level, despite the absence of visually detectable alterations. This pilot study warrants further confirmation in a larger cohort of PD patients and with different MR machines and MR parameters.
利用脑磁敏感加权成像（SWI）的模式识别来诊断个体帕金森病（PD）。
我们分析了 36 例连续帕金森病患者的脑 SWI，这些患者具有（1）3T 下的 SWI，（2）脑（123）I-碘氟呱腈 SPECT，（3）包括随访在内的广泛神经学测试（16 例 PD，67.4±6.2 岁，11 名女性；20 例其他，为各种非典型帕金森综合征 65.2±12.5 岁，6 名女性）。分析包括 SWI 值的组水平比较和支持向量机（SVM）的个体水平分析。
在组水平上，简单的视觉分析未显示两组之间存在差异。然而，组水平分析表明，PD 患者的双侧丘脑和左侧黑质的 SWI 值增加，而其他帕金森病患者则没有。反向比较没有产生超过阈值的聚类。在个体水平上，SVM 能够以超过 86%的准确率正确分类 PD 患者。
尽管视觉上没有可检测到的改变，但 SVM 对 SWI 数据的模式识别可以在个体水平上准确地区分各种形式帕金森病患者中的 PD，这是一项值得在更大的 PD 患者队列中，并结合不同的磁共振机器和参数进行进一步确认的初步研究。
