biostudies-literatureUnknown16Marxreiter F<h4>Background</h4>Due to the absence of robust biomarkers, and the low sensitivity and specificity of routine imaging techniques, the differential diagnosis between Parkinson's disease (PD) and multiple system atrophy (MSA) is challenging. High-field magnetic resonance imaging (MRI) opened up new possibilities regarding the analysis of pathological alterations associated with neurodegenerative processes. Recently, we have shown that quantitative susceptibility mapping (QSM) enables visualization and quantification of two major histopathologic hallmarks observed in MSA: reduced myelin density and iron accumulation in the basal ganglia of a transgenic murine model of MSA. It is therefore emerging as a promising imaging modality on the differential diagnosis of Parkinsonian syndromes.<h4>ObjTherapeutic advances in neurological disorders17562864221143834https://www.ebi.ac.uk/biostudies/studies/S-EPMC9950607biostudies-literatureParkinson's disease or multiple system atrophy: potential separation by quantitative susceptibility mapping.PMC9950607Herrler JLaun FBJukic JMarxreiter FKassubek JGron GRegensburger MMennecke AWinkler JGerman AHanspach JLambrecht VSchmidt MAMuller HPDorfler AfalseParkinson's disease or multiple system atrophy: potential separation by quantitative susceptibility mapping.<h4>Background</h4>Due to the absence of robust biomarkers, and the low sensitivity and specificity of routine imaging techniques, the differential diagnosis between Parkinson's disease (PD) and multiple system atrophy (MSA) is challenging. High-field magnetic resonance imaging (MRI) opened up new possibilities regarding the analysis of pathological alterations associated with neurodegenerative processes. Recently, we have shown that quantitative susceptibility mapping (QSM) enables visualization and quantification of two major histopathologic hallmarks observed in MSA: reduced myelin density and iron accumulation in the basal ganglia of a transgenic murine model of MSA. It is therefore emerging as a promising imaging modality on the differential diagnosis of Parkinsonian syndromes.<h4>Obj2023-01-01T00:00:00Z20232025-04-25T22:31:56.469Z2025-04-06T09:05:07.972ZS-EPMC99506073684647110.1177/17562864221143834