Evidence map›Paper›PMID 30059184›Full record

ArticleNMR in biomedicine2018

Detecting stress injury (fatigue fracture) in fibular cortical bone using quantitative ultrashort echo time-magnetization transfer (UTE-MT): An ex vivo study.

Saeed Jerban, Yajun Ma, Amin Nazaran, Erik W Dorthe, Esther Cory, Michael Carl, Darryl D'Lima, Robert L Sah, Eric Y Chang, Jiang Du

Open access · greenAbstract read
In one paragraph

Article in NMR in biomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  7. Bone Biomarkers Based on Magnetic Resonance Imaging.Seminars in musculoskeletal radiology · 2024
    Review
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  11. Review
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  18. Article
  19. Ultrashort echo time adiabatic TMagnetic resonance imaging · 2021
    Article
  20. 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

10 authors at 3 institutions in 2 countries.

Saeed JerbanDepartment of Radiology, University of California, San Diego, California.ORCID 0000-0001-6450-2892
Yajun MaDepartment of Radiology, University of California, San Diego, California.
Amin NazaranDepartment of Radiology, University of California, San Diego, California.
Erik W DortheShiley Center for Orthopedic Research and Education at Scripps Clinic, La Jolla, California.
Esther CoryDepartment of Bioengineering, University of California, San Diego, La Jolla, California.
Michael CarlGE Healthcare, San Diego, California.
Darryl D'LimaShiley Center for Orthopedic Research and Education at Scripps Clinic, La Jolla, California.
Robert L SahDepartment of Bioengineering, University of California, San Diego, La Jolla, California.
Eric Y ChangDepartment of Radiology, University of California, San Diego, California.
Jiang DuDepartment of Radiology, University of California, San Diego, California.ORCID 0000-0002-9203-2450
University of California San Diego · USScripps Health · USGeneral Electric (Spain) · ES

Funding

TISSUE ACQUISITION, MORPHOLOGY, AND CELL CULTUREP01AG007996 · NIA · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI SAH, ROBERT L · 1989 to 2016
$26.0M
Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of BoneR01AR068987 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2024
$4.9M
Quantitative UTE MR Imaging: Sensitive Biomarkers for OsteoarthritisR01AR062581 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2013 to 2022
$4.1M
Ultrashort Echo Time Magnetic Resonance Imaging of Bone Stress InjuriesR21AR073496 · NIAMS · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI CHANG, ERIC Y · 2018 to 2019
$343k
Quantitative Magnetic Resonance Imaging of Human Rotator Cuff TendonI01CX001388 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2016 to 2024
–
CSRD VA I01 CX001388National Institutes of Health (NIH) 1 R01 AR062581-01A1National Institutes of Health (NIH) 1 R01 AR068987-01National Institutes of Health (NIH) 5 P01 AG007996NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR068987NIAMS NIH HHS R21 AR073496NIA NIH HHS P01 AG007996VA I01CX001388
6 · The paper itself

Abstract

Bone stress injury (BSI) incidents have been increasing amongst athletes in recent years as a result of more intense sporting activities. Cortical bone in the tibia and fibula is one of the most common BSI sites. Nowadays, clinical magnetic resonance imaging (MRI) is the recommended technique for BSI diagnosis at an early stage. However, clinical MRI focuses on edema observations in surrounding soft tissues, rather than the injured components of the bone. Specifically, both normal and injured bone are invisible in conventional clinical MRI. In contrast, ultrashort echo time (UTE)-MRI is able to detect the rapidly decaying signal from the bone. This study aimed to employ UTE-MRI for fatigue fracture detection in fibula cortical bone through an ex vivo investigation. Fourteen human fibular samples (47 ± 20 years old, four women) were subjected to cyclic loading on a four-point bending setup. The loading was displacement controlled to induce -5000 ± 1500 μ-strain at 4 Hz. Loading was stopped when bone stiffness was reduced by 20%. Fibula samples were imaged twice, using UTE-MRI and micro-computed tomography (μCT), first pre-loading and second post-loading. After loading, the macromolecular fraction (MMF) from UTE-MT modeling demonstrated a significant decrease (12% ± 20%, P = 0.02) on average. Single-component T

Indexed as

Magnetic Resonance ImagingCortical BoneFemaleFibulaFractures, StressHumansMaleMiddle AgedTime FactorsWeight-Bearingbone stress injurycortical bonefatigue fracturemagnetization transferMRIultrashort TE

Identifiers

PMID30059184
PMCPMC6553877
OpenAlexW2885842445

What OpenQuestion holds

Textmetadata
LicenceTDM
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.