Usefulness of diffusion-tensor MRI in the diagnosis of Parkinson variant of multiple system atrophy and Parkinson's disease: a valuable tool to differentiate between them?

Chen, B.; Fan, Guoguang; Sun, Wei; Shang, Xiuli; Sheng, Shi; Wang, S.; Lv, Guo-shi; Wu, Chao‐Hsiung

doi:10.1016/j.crad.2017.02.005

Cited by 23 publications

(21 citation statements)

References 30 publications

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“…Compared to idiopathic PD, various DTI studies have demonstrated reduced FA and/or increased MD in the pons, cerebellum, middle cerebellar peduncles (MCP), and putamen in patients with a Parkinsonian type of MSA (MSA-P) (88,126,(170)(171)(172)(173)(174). Several cross-validation studies (173,(175)(176)(177)(178) reported that diffusion measurement has 73-94% sensitivity and 89-94% specificity, and 89-100% area under curve (AUC) in discriminating MSA-P from idiopathic PD.…”

Section: Dti Assessment Of Differential Diagnosis Differentiation Betmentioning

confidence: 99%

Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review

Zhang

Burock

2020

Front. Neurol.

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Section: Dti Assessment Of Differential Diagnosis Differentiation Betmentioning

confidence: 99%

Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review

Zhang

Burock

2020

Front. Neurol.

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“…Increased disease duration correlated with increased Trace(D) values in the pons of MSA-P patients and in the cerebellum and MCPs of MSA-C patients (64,91).…”

Section: Diffusionmentioning

confidence: 87%

“…Using DTI, two meta-analyses reported either frontal predominance of extranigral FA changes ( 55 ) or more widespread FA and mean diffusivity (MD) changes involving the corpus callosum and cingulate and temporal cortices in PD patients ( 56 ). Most studies did not detect any significant changes using global region-of-interest analyses in the putamen ( 57 – 61 ), midbrain ( 62 , 63 ), pons ( 57 – 61 , 64 ) and cerebellum ( 65 ). Free water is a more advanced diffusion metric derived from a bi-tensor diffusion model that shows better sensitivity and reliability for the discrimination of PD from healthy subjects.…”

Section: Imaging Findings In Parkinsonian Disordersmentioning

confidence: 99%

“…Increased ADC values in the MCPs allow complete differentiation of MSA-P from PD and PSP patients with 100% sensitivity and specificity (58). FA values are decreased in the MCP and pons (64). Diffusivity in the putamen and the MCP could therefore improve the categorization between MSA-P and MP on an individual basis.…”

Section: Diffusionmentioning

confidence: 99%

“…Other diffusion abnormalities in MSA-P involve the MCPs, the pons and the cerebellum ( 58 – 61 , 64 , 90 – 92 , 130 ), reflecting a certain degree of olivopontocerebellar changes in addition to striatonigral degeneration ( 58 ). Increased ADC values in the MCPs allow complete differentiation of MSA-P from PD and PSP patients with 100% sensitivity and specificity ( 58 ).…”

Section: Imaging Findings In Parkinsonian Disordersmentioning

confidence: 99%

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The Role of Magnetic Resonance Imaging for the Diagnosis of Atypical Parkinsonism

et al. 2020

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The diagnosis of Parkinson's disease and atypical Parkinsonism remains clinically difficult, especially at the early stage of the disease, since there is a significant overlap of symptoms. Multimodal MRI has significantly improved diagnostic accuracy and understanding of the pathophysiology of Parkinsonian disorders. Structural and quantitative MRI sequences provide biomarkers sensitive to different tissue properties that detect abnormalities specific to each disease and contribute to the diagnosis. Machine learning techniques using these MRI biomarkers can effectively differentiate atypical Parkinsonian syndromes. Such approaches could be implemented in a clinical environment and improve the management of Parkinsonian patients. This review presents different structural and quantitative MRI techniques, their contribution to the differential diagnosis of atypical Parkinsonian disorders and their interest for individual-level diagnosis.

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Functional connectome automatically differentiates multiple system atrophy (parkinsonian type) from idiopathic Parkinson's disease at early stages

Chen

Cui

Wang

et al. 2023

Human Brain Mapping

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Differentiating the parkinsonian variant of multiple system atrophy (MSA‐P) from idiopathic Parkinson's disease (IPD) is challenging, especially in the early stages. This study aimed to investigate differences and similarities in the brain functional connectomes of IPD and MSA‐P patients and use machine learning methods to explore the diagnostic utility of these features. Resting‐state fMRI data were acquired from 88 healthy controls, 76 MSA‐P patients, and 53 IPD patients using a 3.0 T scanner. The whole‐brain functional connectome was constructed by thresholding the Pearson correlation matrices of 116 regions, and topological properties were evaluated through graph theory approaches. Connectome measurements were used as features in machine learning models (random forest [RF]/logistic regression [LR]/support vector machine) to distinguish IPD and MSA‐P patients. Regarding graph metrics, early IPD and MSA‐P patients shared network topological properties. Both patient groups showed functional connectivity disruptions within the cerebellum‐basal ganglia‐cortical network, but these disconnections were mainly in the cortico‐thalamo‐cerebellar circuits in MSA‐P patients and the basal ganglia‐thalamo‐cortical circuits in IPD patients. Among the connectome parameters, t tests combined with the RF method identified 15 features, from which the LR classifier achieved the best diagnostic performance on the validation set (accuracy = 92.31%, sensitivity = 90.91%, specificity = 93.33%, area under the receiver operating characteristic curve = 0.89). MSA‐P and IPD patients show similar whole‐brain network topological alterations. MSA‐P primarily affects cerebellar nodes, and IPD primarily affects basal ganglia nodes; both conditions disrupt the cerebellum‐basal ganglia‐cortical network. Moreover, functional connectome parameters showed outstanding value in the differential diagnosis of early MSA‐P and IPD.

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Usefulness of diffusion-tensor MRI in the diagnosis of Parkinson variant of multiple system atrophy and Parkinson's disease: a valuable tool to differentiate between them?

Cited by 23 publications

References 30 publications

Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review

Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review

The Role of Magnetic Resonance Imaging for the Diagnosis of Atypical Parkinsonism

Functional connectome automatically differentiates multiple system atrophy (parkinsonian type) from idiopathic Parkinson's disease at early stages

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