Session Information
Date: Wednesday, September 25, 2019
Session Title: Neuroimaging
Session Time: 1:15pm-2:45pm
Location: Les Muses Terrace, Level 3
Objective: To study deep gray matter susceptibility in Parkinson’s Disease (PD) by using quantitative susceptibility mapping (QSM) and to assess the relationship between susceptibility value and clinical evolution, especially non-motor symptoms.
Background: PD is a common chronic degenerative disease of the central nervous system. With the development of imaging technology, effective and accurate imaging markers for the diagnosis of PD are important and experts are focusing more on QSM. However, few studies have looked into the relationship between QSM and the non-motor symptoms, which appear earlier than motor symptoms, and sometimes more annoying patients and affecting the quality of patients’ life.
Method: For this prospective study, 44 patients with PD recruited between September 1, 2016, and September 1, 2018, and 44 age- and sex-matched control subjects were scanned with a 3.0 T magnetic resonance imaging (MRI) scanner. The magnetic susceptibilities of the regions of interest (ROIs), including caudate nucleus (Cd), putamen (Pt), globus pallidus (Gp), red nucleus (Rn), substantia nigra (Sn), and dentate nucleus (Dn), were quantified by QSM. The non-motor symptoms of PD were determined by Montreal Cognitive Assessment(MoCA), Mini-Mental State Examination (MMSE), University of Pennsylvania smell identification test(UPSIT).
Results: We found that the susceptibility values of the left Sn and right Cd (especially the left Sn) were significantly higher in PD patients than the controls (p < 0.05).Deep gray matter susceptibility had a good correlation with the score of non-motor symptom scales.
Conclusion: QSM suggests that altered deep gray matter iron is involved in the evolution of PD. Our study indicated that magnetic susceptibility value of the left Sncould be potentially used as a biomarker of diagnosis in PD. These findings encourage efforts to optimize the QSM methodology.
To cite this abstract in AMA style:
LX. Xue, EH. Xu, JK. Li, Q. Yang, P. Chan. Quantitative Susceptibility Mapping: an Biomarker for Diagnosis of Parkinson’s Disease and Evaluation Patients’ Condition [abstract]. Mov Disord. 2019; 34 (suppl 2). https://www.mdsabstracts.org/abstract/quantitative-susceptibility-mapping-an-biomarker-for-diagnosis-of-parkinsons-disease-and-evaluation-patients-condition/. Accessed June 15, 2025.« Back to 2019 International Congress
MDS Abstracts - https://www.mdsabstracts.org/abstract/quantitative-susceptibility-mapping-an-biomarker-for-diagnosis-of-parkinsons-disease-and-evaluation-patients-condition/