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The role of substantia nigra sonography in the differentiation of Parkinson’s disease and multiple system atrophy

Overview of attention for article published in Translational Neurodegeneration, July 2018
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Title
The role of substantia nigra sonography in the differentiation of Parkinson’s disease and multiple system atrophy
Published in
Translational Neurodegeneration, July 2018
DOI 10.1186/s40035-018-0121-0
Pubmed ID
30062008
Authors

Hai-Yan Zhou, Pei Huang, Qian Sun, Juan-Juan Du, Shi-Shuang Cui, Yun-Yun Hu, Wei-Wei Zhan, Ying Wang, Qin Xiao, Jun Liu, Yu-Yan Tan, Sheng-Di Chen

Abstract

The differential diagnosis of Parkinson's disease (PD) and multiple system atrophy (MSA) remains a challenge, especially in the early stage. Here, we assessed the value of transcranial sonography (TCS) to discriminate non-tremor dominant (non-TD) PD from MSA with predominant parkinsonism (MSA-P). Eighty-six MSA-P patients and 147 age and gender-matched non-TD PD patients who had appropriate temporal acoustic bone windows were included in this study. All the patients were followed up for at least 2 years to confirm the initial diagnosis. Patients with at least one substantia nigra (SN) echogenic size ≥18 mm2 were classified as hyperechogenic, those with at least one SN echogenic size ≥25 mm2 was defined as markedly hyperechogenic. The frequency of SN hyperechogenicity in non-TD PD patients was significantly higher than that in MSA-P patients (74.1% vs. 38.4%, p <  0.001). SN hyperechogenicity discriminated non-TD PD from MSA-P with sensitivity of 74.1%, specificity of 61.6%, and positive predictive value of 76.8%. If marked SN hyperechogenicity was used as the cutoff value (≥ 25 mm2), the sensitivity decreased to 46.3%, but the specificity and positive predictive value increased to 80.2 and 80.0%. Additionally, in those patients with SN hyperechogenicity, positive correlation between SN hyperechogenicity area and disease duration was found in non-TD PD rather than in MSA-P patients. In this context, among early-stage patients with disease duration ≤3 years, the sensitivity, specificity and positive predictive value of SN hyperechogenicity further declined to 69.8%, 52.2%, and 66.7%, respectively. TCS could help discriminate non-TD PD from MSA-P in a certain extent, but the limitation was also obvious with relatively low specificity, especially in the early stage.

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Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 19%
Unspecified 2 10%
Student > Bachelor 2 10%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 8 38%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Neuroscience 4 19%
Unspecified 2 10%
Nursing and Health Professions 1 5%
Unknown 9 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 September 2018.
All research outputs
#17,986,372
of 23,098,660 outputs
Outputs from Translational Neurodegeneration
#292
of 322 outputs
Outputs of similar age
#237,229
of 329,730 outputs
Outputs of similar age from Translational Neurodegeneration
#4
of 6 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.8. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,730 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.

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