Evidence map›Paper›PMID 39365346›Full record

ArticleSkeletal radiology2025

Improved metal suppression using new generation low-field MRI: a biophantom feasibility study.

Johanna Luitjens, Katharina Ziegeler, Daehyun Yoon, Felix Gassert, Rupsa Bhattacharjee, Rawee Manatrakul, Chotigar Ngarmsrikam, Amy Becker, Yang Yang, Gabby B Joseph and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Johanna Luitjens *Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Katharina Ziegeler *Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA. katharina.ziegeler@ucsf.edu.ORCID http://orcid.org/0000-0002-9763-2420
Daehyun YoonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Felix GassertDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Rupsa BhattacharjeeDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Rawee ManatrakulDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Chotigar NgarmsrikamDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Amy BeckerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Yang YangDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Gabby B JosephDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Pan SuSiemens Medical Solutions USA, Inc., 40 Liberty Blvd, Malvern, PA, 19355, USA.
Pedro Itriago-LeonSiemens Medical Solutions USA, Inc., 40 Liberty Blvd, Malvern, PA, 19355, USA.
Sharmila MajumdarDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.
Thomas M LinkDepartment of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, San Francisco, CA, 94158, USA.

Funding

Understanding the mechanisms by which weight change affects progression of knee osteoarthritis in obese and overweight individuals: An analysis of the Osteoarthritis Initiative DatasetR01AR078917 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GABRIELLE JOSEPH, THOMAS M LINK · 2021 to 2026
$3.4M
NIAMS NIH HHS R01 AR078917
6 · The paper itself

Abstract

objectiveNovel 0.55 MRI scanners have the potential to reduce metal artifacts around orthopedic implants. The purpose of this study was to compare metal artifact size and depiction of anatomy between 0.55 T and 3.0 T MRI in a biophantom. MATERIALS AND

methodsSteel and titanium screws were implanted in 12 porcine knee specimens and imaging at 0.55 T and 3 T MRI was performed using the following sequences: turbo spin-echo (TSE), TSE with view angle tilting (VAT), and slice encoding for metal artifact correction (SEMAC) with proton-density (PD) and T2-weighted short-tau inversion-recovery (T2w-STIR) contrasts. Artifacts were measured, and visualization of anatomy (cartilage, bone, growth plates, cruciate ligaments) was assessed and compared between groups.

resultsMetal artifacts were significantly smaller at 0.55 T. The smallest artifact sizes were achieved with SEMAC at 0.55 T for both PD and T2w-STIR sequences; corresponding relative size reductions vs. 3.0 T were 78.7% and 79.4% (stainless steel) and 45.3% and 1.4% (titanium). Depiction of anatomical structures was superior at 0.55 T.

conclusionSubstantial reduction of artifact size resulting in superior depiction of anatomical structures is possible on novel 0.55 T MRI systems. Further clinical studies are required to elucidate patient-relevant advantages.

Indexed as

ArtifactsBone ScrewsImage EnhancementMagnetic Resonance ImagingMetalsAnimalsFeasibility StudiesSwineTitaniumMetalsTitaniumArtifactsImage processing (computer-assisted)Image qualityLow-field MRIMagnetic resonance imaging

Identifiers

PMID39365346

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.