Department of Radiology, City of Hope National Medical Center, Duarte, CA 91010, USA.
Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, AZ 85724, USA.
Tomography. 2024 Oct 9;10(10):1608-1621. doi: 10.3390/tomography10100119.
Quantitative thresholds are helpful to define an abnormal DaT SPECT in patients with suspected nigrostriatal degenerative diseases (NSDD). The optimal DaTQUANT threshold for diagnostic accuracy of DaT SPECT across combined movement and cognitive disorder populations has been previously described. : We established optimal DaTQUANT thresholds that enhance the discrimination between dementia with Lewy bodies (DLB) and non-DLB dementia types, as well as between Parkinsonian syndromes (PS) and conditions not characterized by nigrostriatal degeneration (non-PS). Data from a total of 303 patients were used in this retrospective analysis. Posterior putamen of the more affected hemisphere (MAH) was shown to be an accurate single-variable predictor for both DLB and PS and was comparable to the most accurate multi-variable models. Automated quantification with DaTQUANT can accurately aid in the differentiation of DLB from non-DLB dementias and PS from non-PS. Optimal thresholds for assisting a diagnosis of DLB are striatal binding ratio (SBR) ≤ 0.65, z-score ≤ -2.36, and a percent deviation ≤ -0.54 for the posterior putamen of the MAH. Optimal posterior putamen thresholds for assisting a diagnosis of PS are SBR ≤ 0.92, z-score ≤ -1.53, and a percent deviation ≤ -0.33, which are similar to our previously reported posterior putamen threshold values using a blended patient pool from multiple study populations.
定量阈值有助于定义疑似黑质纹状体退行性疾病（NSDD）患者的异常 DaT SPECT。先前已经描述了用于 DaT SPECT 诊断准确性的跨运动和认知障碍人群的最佳 DaTQUANT 阈值。：我们确定了最佳的 DaTQUANT 阈值，以增强对路易体痴呆（DLB）和非 DLB 痴呆类型以及帕金森综合征（PS）与非黑质纹状体变性（非 PS）的鉴别。这项回顾性分析共使用了 303 名患者的数据。研究表明，受影响更严重的半球（MAH）的后壳核是 DLB 和 PS 的准确单变量预测指标，与最准确的多变量模型相当。DaTQUANT 的自动定量可以准确地帮助区分 DLB 与非 DLB 痴呆症以及 PS 与非 PS。辅助诊断 DLB 的最佳阈值为 MAH 后壳核的 SBR≤0.65、z 评分≤-2.36 和百分比偏差≤-0.54。辅助诊断 PS 的最佳后壳核阈值为 SBR≤0.92、z 评分≤-1.53 和百分比偏差≤-0.33，与我们之前使用来自多个研究人群的混合患者群体报告的后壳核阈值相似。
