Evidence map›Paper›PMID 31247253›Full record

ArticleMagnetic resonance imaging2019

Significant correlations between human cortical bone mineral density and quantitative susceptibility mapping (QSM) obtained with 3D Cones ultrashort echo time magnetic resonance imaging (UTE-MRI).

Saeed Jerban, Xing Lu, Hyungseok Jang, Yajun Ma, Behnam Namiranian, Nicole Le, Ying Li, Eric Y Chang, Jiang Du

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  7. Bone Biomarkers Based on Magnetic Resonance Imaging.Seminars in musculoskeletal radiology · 2024
    Review
  8. Article
  9. Article
  10. QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  11. Article
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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 4 institutions in 2 countries.

Saeed JerbanDepartment of Radiology, University of California, San Diego, CA, USA. Electronic address: sjerban@ucsd.edu.
Xing LuDepartment of Radiology, University of California, San Diego, CA, USA; 12Sigma Technologies, San Diego, CA, USA.
Hyungseok JangDepartment of Radiology, University of California, San Diego, CA, USA.
Yajun MaDepartment of Radiology, University of California, San Diego, CA, USA.
Behnam NamiranianDepartment of Radiology, University of California, San Diego, CA, USA.
Nicole LeRadiology Service, VA San Diego Healthcare System, San Diego, CA, USA.
Ying LiFirst affiliated hospital of Zhengzhou University, Zhengzhou, Henan, China.
Eric Y ChangRadiology Service, VA San Diego Healthcare System, San Diego, CA, USA; Department of Radiology, University of California, San Diego, CA, USA.
Jiang DuDepartment of Radiology, University of California, San Diego, CA, USA. Electronic address: jiangdu@ucsd.edu.
University of California, San Diego · USVA San Diego Healthcare System · USFirst Affiliated Hospital of Zhengzhou University · CNSigma Technologies (United States) · US

Funding

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
Three-dimensional Ultrashort Echo Time Magnetic Resonance Imaging of EnthesesR01AR075825 · NIAMS · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI CHANG, ERIC Y · 2019 to 2023
$1.8M
Three-Dimensional UTE Magnetic Resonance Imaging of the Osteochondral JunctionR21AR075851 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MA, YAJUN · 2020 to 2021
$376k
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 Measurement of Joint pH with Magnetic Resonance ImagingI01RX002604 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2018 to 2022
–
Quantitative Magnetic Resonance Imaging of Human Rotator Cuff TendonI01CX001388 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2016 to 2024
–
BLRD VA I01 BX005952CSRD VA I01 CX001388NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR068987NIAMS NIH HHS R01 AR075825NIAMS NIH HHS R21 AR073496NIAMS NIH HHS R21 AR075851RRD VA I01 RX002604
6 · The paper itself

Abstract

purposeQuantitative susceptibility mapping (QSM) MRI is a tool that can characterize changes in susceptibility, an intrinsic property which is associated with compositional changes in the tissue. Current QSM estimation of cortical bone is challenging because conventional clinical MRI cannot acquire signal in cortical bone. This study aimed to implement Cones 3D ultrashort echo time MRI (UTE-MRI) for ex vivo QSM measurements in human tibial cortical bone, investigating the correlations of QSM with volumetric intracortical bone mineral density (BMD). MATERIALS AND

methodsNine tibial midshaft cortical bone specimens (25 mm long specimens cut at the mid-point of tibial shaft, 67 ± 20 years old, 5 women and 4 men) were scanned on a clinical 3 T MRI scanner for QSM measurement. The specimens were also scanned on a high-resolution micro-computed tomography (μCT) scanner for volumetric BMD estimation. QSM and μCT results were compared at approximately nine regions of interest (ROIs) per specimen.

resultsAverage 3D UTE-MRI QSM showed significantly strong correlation with volumetric BMD (R = -0.82, P < 0.01) and bone porosity (R = 0.72, P < 0.01). Combining all data points together (77 ROIs), QSM showed significant moderate to strong correlation with volumetric BMD after correction for interdependencies in specimens (R = -0.70, P < 0.01). The corrections were required because the data points were not independent in each specimen. Similarly, the correlation between QSM and porosity was significant (R = 0.68, P < 0.01).

conclusionsThese results suggest that the Cones 3D UTE-MRI QSM technique can potentially serve as a novel and accurate tool to assess intracortical bone mineral density whilst avoiding ionizing radiation.

Indexed as

Bone DensityAdultAgedAged, 80 and overBone and BonesCortical BoneFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedPorosityRadiation, IonizingTibiaX-Ray MicrotomographyBone mineral densityCortical boneQuantitative susceptibility mappingUltrashort echo time MRI

Identifiers

PMID31247253
PMCPMC6689249
OpenAlexW2954472457

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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.