Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy.
Neuroradiology Unit, Department of Neurosciences, University of Padua, Padua, Italy.
Sci Rep. 2021 Nov 4;11(1):21683. doi: 10.1038/s41598-021-01222-5.
Diagnosis of multiple system atrophy (MSA) may be improved by using multimodal imaging approaches. We investigated the use of T1-weighted/T2-weighted (T1w/T2w) images ratio combined with voxel-based morphometry to evaluate brain tissue integrity in MSA compared to Parkinson's disease (PD) and healthy controls (HC). Twenty-six patients with MSA, 43 patients with PD and 56 HC were enrolled. Whole brain voxel-based and local regional analyses were performed to evaluate gray and white matter (GM and WM) tissue integrity and mean regional values were used for patients classification using logistic regression. Increased mean regional values of T1w/T2w in bilateral putamen were detected in MSA-P compared to PD and HC. The combined use of regional GM and T1w/T2w values in the right and left putamen showed the highest accuracy in discriminating MSA-P from PD and good accuracy in discriminating MSA from PD and HC. A good accuracy was also found in discriminating MSA from PD and HC by either combining regional GM and T1w/T2w values in the cerebellum or regional WM and T1w/T2w in the cerebellum and brainstem. The T1w/T2w image ratio alone or combined with validated MRI parameters can be further considered as a potential candidate biomarker for differential diagnosis of MSA.
多模态成像方法可提高多系统萎缩(MSA)的诊断准确性。我们研究了 T1 加权/T2 加权(T1w/T2w)图像比值与基于体素的形态计量学相结合,用于评估 MSA 与帕金森病(PD)和健康对照组(HC)之间的脑组织完整性。共纳入 26 例 MSA 患者、43 例 PD 患者和 56 例 HC。进行全脑基于体素和局部区域分析,以评估灰质和白质(GM 和 WM)组织完整性,并使用逻辑回归对患者进行分类,采用平均区域值。与 PD 和 HC 相比,MSA-P 的双侧壳核中 T1w/T2w 的平均区域值增加。右侧和左侧壳核中 GM 和 T1w/T2w 值的联合使用,在区分 MSA-P 与 PD 方面具有最高的准确性,在区分 MSA 与 PD 和 HC 方面具有良好的准确性。联合使用小脑 GM 和 T1w/T2w 值或小脑和脑干 WM 和 T1w/T2w 值,在区分 MSA 与 PD 和 HC 方面也具有良好的准确性。T1w/T2w 图像比值单独或与验证后的 MRI 参数相结合,可进一步考虑作为 MSA 鉴别诊断的潜在候选生物标志物。