Evidence map›Paper›PMID 36090850›Full record

ArticleFrontiers in neurology2022

Diagnostic yield of TOF-MRA for detecting incidental vascular lesions in patients with cognitive impairment: An observational cohort study.

Ho Young Park, Chong Hyun Suh, Woo Hyun Shim, Hwon Heo, Woo Seok Kim, Jae-Sung Lim, Jae-Hong Lee, Ho Sung Kim, Sang Joon Kim

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 1 country.

Ho Young ParkDepartment of Radiology and Research, Asan Medical Center, Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Chong Hyun SuhDepartment of Radiology and Research, Asan Medical Center, Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Woo Hyun ShimDepartment of Radiology and Research, Asan Medical Center, Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Hwon HeoDepartment of Radiology and Research, Asan Medical Center, Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Woo Seok KimDepartment of Radiology and Research, Asan Medical Center, Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Jae-Sung LimDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Jae-Hong LeeDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Ho Sung KimDepartment of Radiology and Research, Asan Medical Center, Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Sang Joon KimDepartment of Radiology and Research, Asan Medical Center, Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Asan Medical Center · KRUlsan College · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The role of three-dimensional (3D) TOF-MRA in patients with cognitive impairment is not well established. We evaluated the diagnostic yield of 3D TOF-MRA for detecting incidental extra- or intracranial artery stenosis and intracranial aneurysm in this patient group. Methods: This retrospective study included patients with cognitive impairment undergoing our brain MRI protocol from January 2013 to February 2020. The diagnostic yield of TOF-MRA for detecting incidental vascular lesions was calculated. Patients with positive TOF-MRA results were reviewed to find whether additional treatment was performed. Logistic regression analysis was conducted to identify the clinical risk factors for positive TOF-MRA findings. Results: In total, 1,753 patients (mean age, 70.2 ± 10.6 years; 1,044 women) were included; 199 intracranial aneurysms were detected among 162 patients (9.2%, 162/1,753). A 3D TOF-MRA revealed significant artery stenoses (>50% stenosis) in 162 patients (9.2%, 162/1,753). The overall diagnostic yield of TOF-MRA was 16.8% (294/1,753). Among them, 92 patients (31.3%, 92/294) underwent either medical therapy, endovascular intervention, or surgery. In total, eighty-one patients with stenosis were prescribed with either antiplatelet medications or lipid-lowering agent. In total, fifteen patients (aneurysm: 11 patients, stenosis: 4 patients) were further treated with endovascular intervention or surgery. Thus, the "number needed to scan" was 19 for identifying one patient requiring treatment. Multivariate logistic regression analysis showed that being female (odds ratio [OR] 2.05) and old age (OR 1.04) were the independent risk factors for intracranial aneurysm; being male (OR 1.52), old age (OR 1.06), hypertension (OR 1.78), and ischemic heart disease history (OR 2.65) were the independent risk factors for significant artery stenosis. Conclusions: Our study demonstrated the potential benefit of 3D TOF-MRA, given that it showed high diagnostic yield for detecting vascular lesions in patients with cognitive impairment and the considerable number of these lesions required further treatment. A 3D TOF-MRA may be included in the routine MR protocol for the work-up of this patient population, especially in older patients and patients with vascular risk factors.

Indexed as

cerebral aneurysmcognitive dysfuctionextracranial artery stenosisintracranial artery stenosismagnetic resonance angiography (MRA)observational study

Identifiers

PMID36090850
PMCPMC9453548
OpenAlexW4293089135

What OpenQuestion holds

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LicenceCC BY
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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.