Evidence map›Paper›PMID 36993535›Full record

ArticleResearch square2023

Metal Artifact Reduction Around Cervical Spine Implant Using Diffusion Tensor Imaging at 3T: A Phantom Study.

Slimane Tounekti, Mahdi Alizadeh, Devon Middleton, James S Harrop, Hiba Bassem, Laura Krisa, Choukri Mekkaoui, Feroze B Mohamed

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Slimane TounektiThomas Jefferson University.
Mahdi AlizadehThomas Jefferson University.
Devon MiddletonThomas Jefferson University.
James S HarropThomas Jefferson University.
Hiba BassemInstitute for Cognitive Science.
Laura KrisaThomas Jefferson University.
Choukri MekkaouiAthinoula A. Martinos Center for Biomedical Imaging.
Feroze B MohamedThomas Jefferson University.
Thomas Jefferson University · USAthinoula A. Martinos Center for Biomedical Imaging · USInstitut des Sciences Cognitives · FR

Funding

Development of an MRI Template & Neuroimaging Biomarkers of the Pediatric Spinal CordR01NS111113 · NINDS · THOMAS JEFFERSON UNIVERSITY · PI KRISA, LAURA, MOHAMED, FEROZE B · 2020 to 2024
$2.7M
Free-Breathing Diffusion Tensor MRI in Patients Following Myocardial InfarctionR01HL131635 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MEKKAOUI, CHOUKRI · 2016 to 2020
$2.1M
NHLBI NIH HHS R01 HL131635NINDS NIH HHS R01 NS111113
6 · The paper itself

Abstract

Diffusion MRI continues to play a key role in non-invasively assessing spinal cord integrity and pre-operative injury evaluation. However, post-operative Diffusion Tensor Imaging (DTI) acquisition of a patient with a metal implant results in severe geometric image distortion. A method has been proposed here to alleviate the technical challenges facing the acquisition of DTI in post-operative cases and to evaluate longitudinal therapeutics. The described technique is based on the combination of the reduced Field-Of-View (rFOV) strategy and the phase segmented acquisition scheme (rFOV-PS-EPI) for significantly mitigating metal-induced distortions. A custom-built phantom based on spine model with metal implant was used to collect high-resolution DTI data at 3 Tesla scanner using a home-grown diffusion MRI pulse sequence, rFOV-PS-EPI, single-shot (rFOV-SS-EPI), and the conventional full FOV techniques including SS-EPI, PS-EPI, and the readout-segmented (RS-EPI). This newly developed method provides high-resolution images with significant reduced metal-induced artifacts. In contrast to the other techniques, the rFOV-PS-EPI allows DTI measurement at the level of the metal hardware whereas the current rFOV-SS-EPI is useful when the metal is approximately 20 mm away. The developed approach enables high-resolution DTI in patients with metal implant.

Identifiers

PMID36993535
PMCPMC10055636
OpenAlexW4327575904

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.