Evidence map›Paper›PMID 38001310›Full record

Observational studyNeuroradiology2024

Distinctive cortical morphological patterns in primary trigeminal neuralgia: a cross-sectional clinical study.

Hui Xu, Yang Liu, Wen-Tao Zeng, Yu-Xin Fan, Yuan Wang

Registry-linked trialAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02713646 (Applied Research on Patients With Trigeminal Neuralgia by Multi-planar Reconstruction, Curved Planar Reconstruction and Magnetic Resonance Virtual Endoscopy), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

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.

NCT02713646 completednot on this map

Applied Research on Patients With Trigeminal Neuralgia by Multi-planar Reconstruction, Curved Planar Reconstruction and Magnetic Resonance Virtual Endoscopy

TypeobservationalSponsorFirst Affiliated Hospital Xi'an Jiaotong UniversityRan2016 to 2020Enrolled55ConditionsTrigeminal Neuralgia
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Abnormalities of cortical morphology and structural covariance network in the patients with primary trigeminal neuralgia: a preliminary clinical study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Observational
  6. Article
  7. 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

5 authors.

Hui XuDepartment of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.ORCID https://orcid.org/0000-0003-4514-0413
Yang LiuDepartment of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Wen-Tao ZengDepartment of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Yu-Xin FanDepartment of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Yuan WangDepartment of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. wangyuan8003@126.com.ORCID http://orcid.org/0000-0002-5692-2659

Funding

Key Research and Development Projects of Shaanxi Province No. 2021SF-091National Natural Science Foundation of China 82171909
6 · The paper itself

Abstract

purposeThe characteristics of surface-based morphological patterns to primary trigeminal neuralgia (PTN) are still not well understood. This study aims to screen the useful cortical indices for the prediction of PTN and the quantification of pain severity.

methodsFifty PTN patients and 48 matched healthy subjects enrolled in the study from March 2016 to August 2021. High-resolution T1 data were performed at 3.0 Tesla scanner and were analyzed with FreeSurfer software to detect the abnormalities of cortical mean curve (CMC), cortical thickness (CT), surface area (SA), and cortical volume (CV) in PTN patients compared to healthy controls. Logistic regression analysis was conducted to determine whether certain morphological patterns could predict PTN disorder. Then, the relationships of cortical indices to the pain characteristics in patient group were examined using linear regression model.

resultsDistinctive cortical alterations were discovered through surface-based analysis, including increased temporal CMC, decreased insular CT and fusiform SA, along with decreased CV in several temporal and occipital areas. Moreover, the difference of temporal CMC was greater than other cortical parameters between the two groups, and the combination of certain morphological indices was of good value in the diagnosis for PTN. Besides, CT of left insula was negatively associated with the pain intensity in PTN patients.

conclusionThe patients with PTN demonstrate distinctive morphological patterns in several cortical regions, which may contribute to the imaging diagnosis of this refractory disorder and be useful for the quantification of the orofacial pain. CLINICAL TRIALS: The registry name of this study in https://clinicaltrials.gov/ : Magnetic Resonance Imaging Study on Patients with Trigeminal Neuralgia (MRI-TN) https://clinicaltrials.gov/ ID: NCT02713646 A link to the full application: https://clinicaltrials.gov/ct2/results?cond=&term=NCT02713646&cntry=&state=&city=&dist= The first patient with primary trigeminal neuralgia was recruited on November 28, 2016.

Indexed as

Trigeminal NeuralgiaCross-Sectional StudiesHumansMagnetic Resonance ImagingPainCortical mean curveCortical thicknessPrimary trigeminal neuralgiaSurface areaSurface-based morphometry

Identifiers

What OpenQuestion holds

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Registered trials

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.