Evidence map›Paper›PMID 42099972›Full record

ArticleFrontiers in neurology

Diagnostic accuracy of transcranial sonography-magnetic resonance fusion imaging for Parkinson's disease versus multiple system atrophy-Parkinsonian type.

Chao Hou, Wei Zhang, Ji-Zhu Xia, Hui Liu, Ming-Xing Li, Wen He, Li-Qing Peng

Abstract read
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

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4 · The record

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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.

Chao HouDepartment of Ultrasound, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Wei ZhangDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ji-Zhu XiaDepartment of Ultrasound, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Hui LiuDepartment of Ultrasound, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Ming-Xing LiDepartment of Ultrasound, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Wen HeDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Li-Qing PengDepartment of Ultrasound, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Transcranial sonography-magnetic resonance (TCS-MR) fusion imaging shows promise in neurodegenerative diseases, yet current echogenicity assessment methods remain controversial, and its role in differentiating Parkinson's disease (PD) from multiple system atrophy-parkinsonian type (MSA-P) remains unknown. Objectives: This study aims to evaluate the diagnostic and differential value of TCS-MR fusion imaging for PD versus MSA-P. Patients and methods: 164 PD, 71 MSA-P, and 118 controls who underwent TCS-MR fusion imaging were prospectively enrolled. Substantia nigra hyperechogenicity (SNH) area was calculated. Three planes, designated as SN1, SN2 and SN3 from fusion images were analyzed using ImageJ for grayscale median and pixel count. ROC curves were employed to assess diagnostic and differential diagnostic power. Results: Statistically significant differences were observed among the three groups concerning SN grades, area of SNH, the ratio of the area of SNH to the midbrain area (S/M), echogenicity of the bilateral SN1, SN3, left SNH, and the maximum echogenicity of SN1, as well as the pixel count of bilateral SNH ( Conclusion: TCS-MR fusion imaging demonstrates superior diagnostic and differential performance for PD compared to traditional TCS measurements, suggesting its potential as a novel imaging technique in the diagnosis of PD.

Indexed as

fusion imagingmultiple system atrophyParkinson’s diseasesubstantia nigratranscranial sonography

Identifiers

PMID42099972
PMCPMC13143536

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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.