Evidence map›Paper›PMID 32034550›Full record

ArticleInsights into imaging2020

The effect of the MR pulse sequence on the regional corpus callosum morphometry.

Fahad H Alhazmi, Osama M Abdulaal, Abdulaziz A Qurashi, Khalid M Aloufi, Vanessa Sluming

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Article in Insights into imaging, 2020. 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
–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

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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.

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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

5 authors.

Fahad H AlhazmiDepartment of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia. fhdhazmi@taibahu.edu.sa.ORCID http://orcid.org/0000-0002-8196-3233
Osama M AbdulaalDepartment of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia.
Abdulaziz A QurashiDepartment of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia.
Khalid M AloufiDepartment of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia.
Vanessa SlumingInstitute of Translational Medicine, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposesBrain morphometry is an important assessment technique to assess certain morphological brain features of various brain regions, which can be quantified in vivo by using high-resolution structural magnetic resonance (MR) imaging. This study aims to investigate the effect of different types of pulse sequence on regional corpus callosum (CC) morphometry analysis. MATERIALS AND

methodsTwenty-one healthy volunteers were scanned twice on the same 3T MRI scanner (Magnetom Trio, Siemens, Erlangen, Germany) equipped with an 8-channel head coil. Two different MR pulse sequences were applied to acquire high-resolution 3D T1-weighted images: magnetization-prepared rapid gradient-echo (MP-RAGE) and modified driven equilibrium Fourier transform (MDEFT) pulse sequence. Image quality measurements such as SNR, contrast-to-noise ratio, and relative contrast were calculated for each pulse sequence images independently. The values of corpus callosum volume were calculated based on the vertex of reconstructed surfaces. The paired dependent t test was applied to compare the means of two matched groups.

resultsThree sub-regional CC, namely anterior, mid-anterior, and posterior, resulted in an estimated volume difference between MDEFT and MP-RAGE pulse sequences. Central and mid-posterior sub-regional CC volume resulted in not significant difference between the two named pulse sequences.

conclusionThe findings of this study demonstrate that combining data from different pulse sequences in a multisite study could make some variations in the results.

Indexed as

Brain morphometryCorpus callosumImage qualityMagnetization prepared rapid gradient-echoModified driven equilibrium Fourier transform

Identifiers

PMID32034550
PMCPMC7007480

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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.