Evidence map›Paper›PMID 34642808›Full record

ArticleEuropean radiology2022

Multiparametric quantitative MRI for the evaluation of dysthyroid optic neuropathy.

Mengsha Zou, Dide Wu, Hongzhang Zhu, Xiahua Huang, Xiaojuan Zhao, Jing Zhao, Wenhao Fu, Ruocheng Li, Bin Li, Pengxia Wan and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  18. Benefit of [18F]-FDG PET/CT for treatment-naïve nasopharyngeal carcinoma.European journal of nuclear medicine and molecular imaging · 2022
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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

14 authors at 2 institutions in 1 country.

Mengsha Zou *Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Dide Wu *Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Hongzhang ZhuDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Xiahua HuangDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Xiaojuan ZhaoDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Jing ZhaoDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Wenhao FuDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Ruocheng LiDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Bin LiDepartment of Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Pengxia WanDepartment of Ophthalmology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Shubin HongDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Yanbing LiDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China.
Haipeng XiaoDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China. xiaohp@mail.sysu.edu.cn.
Zhiyun YangDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2nd, Guangzhou, 510080, China. yzhyun@mail.sysu.edu.cn.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the ability of quantitative MRI parameters for predicting dysthyroid optic neuropathy (DON).

methodsWe retrospectively collected and analyzed the clinical features and 3.0 T MRI data of 59 patients with Graves orbitopathy (GO), with (n = 26) and without DON (n = 33). We compared MRI quantitative parameters, including the modified muscle index (mMI), proptosis, volume of intra-orbital fat, mean apparent diffusion coefficient value, and T2 value of the optic nerve among patients with and without DON. A logistic regression analysis was performed to identify the risk factors associated with DON. Moreover, we performed a receiver operating characteristic curve analysis and decision curve analysis to evaluate the diagnostic performance of the identified parameters for DON.

resultsWe studied 118 orbits (43 and 75 with and without DON, respectively). The mMI and mean T2 value of the optic nerve were significantly greater in orbits with DON (p < 0.001). A greater mMI at 21 mm (odds ratio (OR), 1.039; 95% confidence interval (CI): 1.019, 1.058) and higher mean T2 value of the optic nerve (OR, 1.035; 95% CI: 1.017, 1.054) were associated with a higher risk of DON. A model combining the mMI at 21 mm and mean T2 values for the optic nerve effectively predicted DON in patients with GO, with a sensitivity and specificity of 95.3% and 76%, respectively.

conclusionA quantitative MRI parameter combining the mMI at 21 mm and mean T2 value of the optic nerve can be an effective imaging marker for identifying DON. KEY POINTS: • Patients with GO and DON had greater mMI than those without DON. • Optic nerves in patients with DON demonstrated an increased T2 value. • The quantitative MRI parameter combining the mMI at 21 mm and mean T2 value of the optic nerve is the most effective method for diagnosing DON.

Indexed as

Graves OphthalmopathyOptic Nerve DiseasesHumansMagnetic Resonance ImagingOptic NerveRetrospective StudiesDysthyroid optic neuropathyGraves orbitopathyMagnetic resonance imagingMuscle indexOptic neuropathy

Identifiers

PMID34642808
OpenAlexW3206904225

What OpenQuestion holds

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Registered trials

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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.