Computed-tomography-guided anatomic standardization for quantitative assessment of dopamine transporter SPECT

Computed-tomography-guided anatomic standardization for quantitative assessment of dopamine transporter SPECT
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DOI:
10.1007/s00259-016-3496-0
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发表时间:
2017-03-01
影响因子:
9.1
通讯作者:
Matsuda, Hiroshi
Matsuda, Hiroshi
中科院分区:
医学1区
文献类型:
--
作者:
Yokoyama, Kota;Imabayashi, Etsuko;Matsuda, Hiroshi

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目的应用[I-123]FP-CIT单光子发射计算机断层扫描(DATcan)对多巴胺转运体(DAT)进行定量评估,解剖标准化是使用感兴趣体积(VOI)模板实现纹状体结合的客观且独立于用户的量化的首选方法。然而,在没有任何结构信息的情况下,帕金森病(PD)中DAT的低积累会导致使用DaTcan特定模板时的变形误差。为了避免这种变形误差,我们将SPECT/CT设备获得的CT数据应用于解剖标准化。方法回顾分析130例帕金森综合征(PS)患者的DaTcan图像,其中PD患者80例,非PD患者50例。首先,使用统计参数映射12(SPM12)从CT图像中分割出灰质。这些灰质图像然后使用指数李代数(Dartel)算法的微分同胚层解剖配准进行解剖学标准化。接下来,使用CT解剖标准化中使用的相同参数对DaTcan图像进行扭曲。SPM12组比较每组的20幅DATcan图像,得到帕金森病患者DAT降低的目标纹状体VOI。我们将这些VOI应用于两组中其余患者的DaTcan图像,并使用参照区中的非特异性计数计算特异性结合率(SBR)。在SBR对帕金森病和非帕金森病患者的鉴别诊断方面,我们将本方法与已发布的DATscan图像定量评估软件DaTQUANT和DaTView进行了比较。结果SPM12组比较,帕金森病患者双侧全纹状体DAT显著降低。在所评价的三种方法中,目前CT引导下的方法对区分PD和非PD组显示出最大的能力,因为它完全区分了两组。结论利用Dartel算法进行CT引导下的解剖标准化是一种有前景的DaTcan图像的定量评估方法。
Purpose For the quantitative assessment of dopamine transporter (DAT) using [I-123]FP-CITsingle-photon emission computed tomography (SPECT) (DaTscan), anatomic standardization is preferable for achieving objective and user-independent quantification of striatal binding using a volume-of-interest (VOI) template. However, low accumulation of DAT in Parkinson's disease (PD) would lead to a deformation error when using a DaTscan-specific template without any structural information. To avoid this deformation error, we applied computed tomography (CT) data obtained using SPECT/CT equipment to anatomic standardization.Methods We retrospectively analyzed DaTscan images of 130 patients with parkinsonian syndromes (PS), including 80 PD and 50 non-PD patients. First we segmented gray matter from CT images using statistical parametric mapping 12 (SPM12). These gray-matter images were then anatomically standardized using the diffeomorphic anatomical registration using exponentiated Lie algebra (DARTEL) algorithm. Next, DaTscan images were warped with the same parameters used in the CT anatomic standardization. The target striatal VOIs for decreased DAT in PD were generated from the SPM12 group comparison of 20 DaTscan images from each group. We applied these VOIs to DaTscan images of the remaining patients in both groups and calculated the specific binding ratios (SBRs) using nonspecific counts in a reference area. In terms of the differential diagnosis of PD and non-PD groups using SBR, we compared the present method with two other methods, DaTQUANT and DaTView, which have already been released as software programs for the quantitative assessment of DaTscan images.Results The SPM12 group comparison showed a significant DAT decrease in PD patients in the bilateral whole striatum. Of the three methods assessed, the present CT-guided method showed the greatest power for discriminating PD and non-PD groups, as it completely separated the two groups.Conclusion CT-guided anatomic standardization using the DARTEL algorithm is promising for the quantitative assessment of DaTscan images.