Evidence map›Paper›PMID 31817016›Full record

ArticleBrain sciences2019

Diffusion Tensor Magnetic Resonance Imaging for Differentiating Multiple System Atrophy Cerebellar Type and Spinocerebellar Ataxia Type 3.

Chi-Wen Jao, Bing-Wen Soong, Chao-Wen Huang, Chien-An Duan, Chih-Chun Wu, Yu-Te Wu, Po-Shan Wang

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Microstructural Properties of Brain White Matter Tracts in Breast Cancer Survivors: A Diffusion Tensor Imaging Study.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. MR Imaging of SCA3/MJD.Frontiers in neuroscience · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Chi-Wen JaoInstitute of Biophotonics, National Yang-Ming University, 11221 Taipei, Taiwan.
Bing-Wen SoongTaipei Neuroscience Institute, Taipei Medical University, 11041, Taipei, Taiwan.
Chao-Wen HuangInstitute of Biophotonics, National Yang-Ming University, 11221 Taipei, Taiwan.
Chien-An DuanInstitute of Biophotonics, National Yang-Ming University, 11221 Taipei, Taiwan.
Chih-Chun WuSchool of Medicine, National Yang-Ming University, 11221 Taipei, Taiwan.
Yu-Te WuInstitute of Biophotonics, National Yang-Ming University, 11221 Taipei, Taiwan.
Po-Shan WangInstitute of Biophotonics, National Yang-Ming University, 11221 Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWNational Yang Ming Chiao Tung University · TWNational Taipei University · TWTaipei Veterans General Hospital · TW

Funding

Ministry of Science and Technology, Taiwan MOST 106-2221-E-010-010-MY2National Health Research Institute Taiwan NHRI-EX106-10526EINational Yang-Ming University and Shin-Kong Wu-Ho Su Memorial Hospital Research Program 107GB006
6 · The paper itself

Abstract

Multiple system atrophy cerebellar type (MSA-C) and spinocerebellar ataxia type 3 (SCA3) demonstrate similar manifestations, including ataxia, pyramidal and extrapyramidal signs, as well as atrophy and signal intensity changes in the cerebellum and brainstem. MSA-C and SCA3 cannot be clinically differentiated through T1-weighted magnetic resonance imaging (MRI) alone; therefore, clinical consensus criteria and genetic testing are also required. Here, we used diffusion tensor imaging (DTI) to measure water molecular diffusion of white matter and investigate the difference between MSA-C and SCA3. Four measurements were calculated from DTI images, including fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD). Fifteen patients with MSA-C, 15 patients with SCA3, and 30 healthy individuals participated in this study. Both patient groups demonstrated a significantly decreased FA but a significantly increased AD, RD, and MD in the cerebello-ponto-cerebral tracts. Moreover, patients with SCA3 demonstrated a significant decrease in FA but more significant increases in AD, RD, and MD in the cerebello-cerebral tracts than patients with MSAC. Our results may suggest that FA and MD can be effectively used for differentiating SCA3 and MSA-C, both of which are cerebellar ataxias and have many common atrophied regions in the cerebral and cerebellar cortex.

Indexed as

cerebellumDTIK-means clusteringMAS-CSCA3

Identifiers

PMID31817016
PMCPMC6956111
OpenAlexW2991908527

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.