Evidence map›Paper›PMID 39777313›Full record

ArticleFrontiers in neurology2024

A novel potential measurement indicator with objective and quantitative effect for trigeminal neuralgia: fractional anisotropy in MR-DTI.

Zhongshuai Ma, Xu Su, Zhengming Wang, Zhijia Wang, Min Cheng, Yu Tian, Chao Du

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Zhongshuai MaDepartment of Neurosurgery, China-Japan Union Hospital of Jilin University and The Third Bethune Hospital of Jilin University, Changchun, China.
Xu SuDepartment of Neurosurgery, China-Japan Union Hospital of Jilin University and The Third Bethune Hospital of Jilin University, Changchun, China.
Zhengming WangDepartment of Trauma Center, China-Japan Union Hospital of Jilin University and The Third Bethune Hospital of Jilin University, Changchun, China.
Zhijia WangDepartment of Radiology, China-Japan Union Hospital of Jilin University and The Third Bethune Hospital of Jilin University, Changchun, China.
Min ChengDepartment of Radiology, China-Japan Union Hospital of Jilin University and The Third Bethune Hospital of Jilin University, Changchun, China.
Yu TianDepartment of Neurosurgery, China-Japan Union Hospital of Jilin University and The Third Bethune Hospital of Jilin University, Changchun, China.
Chao DuDepartment of Neurosurgery, China-Japan Union Hospital of Jilin University and The Third Bethune Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the effect of diffusivity metrics of magnetic resonance diffusion tensor imaging (MR-DTI) in the assessment of treatment effects. Methods: MR-DTI examination for trigeminal neuralgia (TN) patients and the diffusivity metrics of the trigeminal ganglion (TG) were analyzed. Before and after the percutaneous stereotactic radiofrequency rhizotomy (PSR) operation, the treatment effect was assessed using pain scores and MR-DTI. The correlation between the diffusivity metrics of cranial nerve five (CNV) and visual analog scale (VAS) pain scores before and after treatment in TN patients was explored. Results: In PSR patients, the fractional anisotropy (FA) of the affected TG is a significantly lower than that of the unaffected side ( Conclusion: MR-DTI is capable of investigating the longitudinal changes of FA before and after radiofrequency treatment, and diffusivity metrics could be an independent reliable efficacy indicator for TN. Significance: The alteration of the diffusivity on TG may be correlated with the effect of radiofrequency treatment.

Indexed as

fractional anisotropymagnetic resonance diffusion tensor imagingpain measurement indicatorpercutaneous stereotactic radiofrequency rhizotomytrigeminal neuralgia

Identifiers

PMID39777313
PMCPMC11703729

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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.