Evidence map›Paper›PMID 27816505›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2017

Advances in imaging approaches to fracture risk evaluation.

Mary Kate Manhard, Jeffry S Nyman, Mark D Does

Abstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

46 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Bone health: Quality versus quantity.Journal of the Pediatric Orthopaedic Society of North America · 2024
    Article
  8. Bone Biomarkers Based on Magnetic Resonance Imaging.Seminars in musculoskeletal radiology · 2024
    Review
  9. Assessment of spatially offset Raman spectroscopy to detect differences in bone matrix quality.Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. TNMR in biomedicine · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Identifying Bone Matrix Impairments in a Mouse Model of Neurofibromatosis Type 1 (NF1) by Clinically Translatable Techniques.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    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

3 authors at 1 institution in 1 country.

Mary Kate ManhardBiomedical Engineering, Vanderbilt University, Nashville, TN; Vanderbilt University Institute of Imaging Science, Nashville, TN.
Jeffry S NymanBiomedical Engineering, Vanderbilt University, Nashville, TN; Vanderbilt University Institute of Imaging Science, Nashville, TN; Orthopaedic Surgery and Rehabilitation, Vanderbilt University, Nashville, TN; Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville, TN; Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN.
Mark D DoesBiomedical Engineering, Vanderbilt University, Nashville, TN; Vanderbilt University Institute of Imaging Science, Nashville, TN; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN; Electrical Engineering, Vanderbilt University, Nashville, TN. Electronic address: mark.does@vanderbilt.edu.
Vanderbilt University · US

Funding

The Roles of Collagen and Water in the Fracture Resistance of BoneR01AR063157 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI NYMAN, JEFFRY STEPHEN · 2012 to 2025
$3.9M
Bone Fracture Risk Assessment Through Bound - and Pore - Water MRIR01EB014308 · NIBIB · VANDERBILT UNIVERSITY · PI DOES, MARK D · 2012 to 2020
$3.2M
Novel ultrahigh resolution microCT imaging systemS10RR027631 · NCRR · VANDERBILT UNIVERSITY · PI PERRIEN, DANIEL S · 2010 to 2010
$460k
NCRR NIH HHS S10 RR027631NIAMS NIH HHS R01 AR063157NIBIB NIH HHS R01 EB014308
6 · The paper itself

Abstract

Fragility fractures are a growing problem worldwide, and current methods for diagnosing osteoporosis do not always identify individuals who require treatment to prevent a fracture and may misidentify those not a risk. Traditionally, fracture risk is assessed using dual-energy X-ray absorptiometry, which provides measurements of areal bone mineral density at sites prone to fracture. Recent advances in imaging show promise in adding new information that could improve the prediction of fracture risk in the clinic. As reviewed herein, advances in quantitative computed tomography (QCT) predict hip and vertebral body strength; high-resolution HR-peripheral QCT (HR-pQCT) and micromagnetic resonance imaging assess the microarchitecture of trabecular bone; quantitative ultrasound measures the modulus or tissue stiffness of cortical bone; and quantitative ultrashort echo-time MRI methods quantify the concentrations of bound water and pore water in cortical bone, which reflect a variety of mechanical properties of bone. Each of these technologies provides unique characteristics of bone and may improve fracture risk diagnoses and reduce prevalence of fractures by helping to guide treatment decisions.

Indexed as

Risk AssessmentAnimalsDiagnostic ImagingFractures, BoneHumansMagnetic Resonance ImagingTomography, X-Ray Computed

Identifiers

PMID27816505
PMCPMC5357194
OpenAlexW2539013856

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.