Evidence map›Paper›PMID 38311304›Full record

ArticleBone2024

A comprehensive set of ultrashort echo time magnetic resonance imaging biomarkers to assess cortical bone health: A feasibility study at clinical field strength.

Andrea M Jacobson, Xuandong Zhao, Stefan Sommer, Farhan Sadik, Stuart J Warden, Christopher Newman, Thomas Siegmund, Matthew R Allen, Rachel K Surowiec

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bone, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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.

Andrea M JacobsonWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. Electronic address: andijaco@umich.edu.
Xuandong ZhaoDept. of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA. Electronic address: zhaoxua@iu.edu.
Stefan SommerSwiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zurich, Switzerland; Advanced Clinical Imaging Technology (ACIT), Siemens Healthineers International AG, Zurich, Switzerland. Electronic address: sommer.stefan@siemens-healthineers.com.
Farhan SadikWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. Electronic address: fsadik@purdue.edu.
Stuart J WardenDepartment of Physical Therapy, School of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, IN, USA. Electronic address: stwarden@iu.edu.
Christopher NewmanDept. of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA. Electronic address: chrnewma@iu.edu.
Thomas SiegmundSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA. Electronic address: siegmund@purdue.edu.
Matthew R AllenDept. of Anatomy, Physiology, and Cell Biology, Indiana University School of Medicine, Indianapolis, IN, USA. Electronic address: matallen@iu.edu.
Rachel K SurowiecWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Dept. of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA. Electronic address: rsurowie@purdue.edu.

Funding

Resource CoreP30AR072581 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Sharon M Moe · 2017 to 2026
$8.3M
NIAMS NIH HHS P30 AR072581NIDDK NIH HHS L30 DK130133
6 · The paper itself

Abstract

introductionConventional bone imaging methods primarily use X-ray techniques to assess bone mineral density (BMD), focusing exclusively on the mineral phase. This approach lacks information about the organic phase and bone water content, resulting in an incomplete evaluation of bone health. Recent research highlights the potential of ultrashort echo time magnetic resonance imaging (UTE MRI) to measure cortical porosity and estimate BMD based on signal intensity. UTE MRI also provides insights into bone water distribution and matrix organization, enabling a comprehensive bone assessment with a single imaging technique. Our study aimed to establish quantifiable UTE MRI-based biomarkers at clinical field strength to estimate BMD and microarchitecture while quantifying bound water content and matrix organization.

methodsFemoral bones from 11 cadaveric specimens (n = 4 males 67-92 yrs of age, n = 7 females 70-95 yrs of age) underwent dual-echo UTE MRI (3.0 T, 0.45 mm resolution) with different echo times and high resolution peripheral quantitative computed tomography (HR-pQCT) imaging (60.7 μm voxel size). Following registration, a 4.5 mm HR-pQCT region of interest was divided into four quadrants and used across the multi-modal images. Statistical analysis involved Pearson correlation between UTE MRI porosity index and a signal-intensity technique used to estimate BMD with corresponding HR-pQCT measures. UTE MRI was used to calculate T

resultsThe UTE MRI-derived porosity index and signal-intensity-based estimated BMD correlated with the HR-pQCT variables (porosity: r = 0.73, p = 0.006; BMD: r = 0.79, p = 0.002). However, these correlations varied in strength when we examined each of the four quadrants (subregions, r = 0.11-0.71). T

conclusionUTE MRI shows promise for being an innocuous method for estimating cortical porosity and BMD parameters while also giving insight into bone hydration and matrix organization. This method offers the potential to equip clinicians with a more comprehensive array of imaging biomarkers to assess bone health without the need for invasive or ionizing procedures.

Indexed as

Cortical BoneMagnetic Resonance ImagingChildFeasibility StudiesFemaleHumansMaleWaterX-Ray MicrotomographyWaterBoneBone mineral densityBone waterHigh resolution peripheral quantitative computed tomographyPorosityUltrashort echo time magnetic resonance imaging

Identifiers

PMID38311304
PMCPMC10923147

What OpenQuestion holds

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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.