Department of Radiology, Yamagata University Hospital, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Department of Psychiatry, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Ann Nucl Med. 2021 Mar;35(3):307-313. doi: 10.1007/s12149-020-01562-8. Epub 2021 Jan 4.
The easy Z-score imaging system (eZIS) analysis is used for the diagnosis of dementia by cerebral blood flow on single photon emission computed tomography (SPECT). Differences in the acquisition and reconstruction conditions in SPECT may affect the eZIS analysis results. The present study aimed to construct our institutional normal database (NDB) and Alzheimer's disease (AD)-specific volumes of interest (VOIs) in eZIS analysis, and to compare the differential diagnostic ability between healthy controls (HC) and patients with AD in the image reconstruction filtered back projection (FBP) and ordered subset expectation maximization (OSEM) methods.
An NDB was constructed at our institution from 30 healthy individual using the FBP and OSEM reconstruction methods. We divided 51 HC and 51 AD patients into two groups, one for AD disease-specific VOI construction (HC, AD) and the other for NDB verification (HC, AD); image reconstruction was performed using FBP and OSEM. The areas of reduced blood flow in AD patients were compared with those of HC using the two types of image reconstruction methods. We used AD disease-specific VOI and NDB from each reconstruction method in eZIS analysis and compared the differential diagnostic ability for HC and AD with the different reconstruction methods.
Comparing the areas of reduced blood flow in AD patients using the different image reconstruction methods, OSEM showed decreased blood flow in the medial region of the temporal lobes compared to FBP. Comparing the differential diagnostic ability for HC and AD using eZIS, the Severity, Extent, and Ratio showed higher values in the analysis performed using OSEM image reconstruction compared to FBP.
With the Tc-ECD SPECT, the eZIS analysis equipped with our institutional AD-specific VOI and NDB using OSEM image reconstruction could distinguish HC from AD better than eZIS analysis using FBP image reconstruction. This study is registered in UMIN Clinical Trials Registry (UMIN-CTR) as UMIN study ID: UMIN000042362.
单光子发射计算机断层扫描（SPECT）脑血流的简易 Z 评分成像系统（eZIS）分析用于诊断痴呆。SPECT 中的采集和重建条件的差异可能会影响 eZIS 分析结果。本研究旨在构建我们机构的正常数据库（NDB）和阿尔茨海默病（AD）特异性感兴趣区（VOI）在 eZIS 分析，并比较 FBP 和有序子集期望最大化（OSEM）两种图像重建方法中健康对照组（HC）和 AD 患者的鉴别诊断能力。
使用 FBP 和 OSEM 重建方法，从 30 名健康个体构建 NDB。我们将 51 名 HC 和 51 名 AD 患者分为两组，一组用于 AD 疾病特异性 VOI 构建（HC、AD），另一组用于 NDB 验证（HC、AD）；使用 FBP 和 OSEM 进行图像重建。使用两种类型的图像重建方法比较 AD 患者血流减少的区域与 HC 的差异。我们使用每种重建方法的 AD 疾病特异性 VOI 和 NDB 在 eZIS 分析中，并比较了不同重建方法对 HC 和 AD 的鉴别诊断能力。
比较使用不同图像重建方法的 AD 患者血流减少区域，与 FBP 相比，OSEM 显示颞叶内侧区域血流减少。比较使用 OSEM 图像重建的 eZIS 对 HC 和 AD 的鉴别诊断能力，与 FBP 相比，严重程度、程度和比率在 OSEM 图像重建分析中具有更高的值。
使用 Tc-ECD SPECT，配备我们机构使用 OSEM 图像重建的 AD 特异性 VOI 和 NDB 的 eZIS 分析可以比使用 FBP 图像重建的 eZIS 分析更好地区分 HC 和 AD。本研究在 UMIN 临床试验注册中心（UMIN-CTR）注册，注册号为 UMIN 研究 ID：UMIN000042362。
