Evidence map›Paper›PMID 25824566›Full record

ArticleJournal of magnetic resonance imaging : JMRI2015

In vivo measurement reproducibility of femoral neck microarchitectural parameters derived from 3T MR images.

Alexandra Hotca, Chamith S Rajapakse, Chen Cheng, Stephen Honig, Kenneth Egol, Ravinder R Regatte, Punam K Saha, Gregory Chang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. MRI assessment of bone structure and microarchitecture.Journal of magnetic resonance imaging : JMRI · 2017
    Review
  5. Advances in imaging approaches to fracture risk evaluation.Translational research : the journal of laboratory and clinical medicine · 2017
    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

8 authors at 4 institutions in 1 country.

Alexandra HotcaDepartment of Radiology, NYU Langone Medical Center, Center for Musculoskeletal Care, New York, New York, USA.
Chamith S RajapakseDepartment of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
Chen ChengDepartment of Radiology and Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA.
Stephen HonigOsteoporosis Center, Hospital for Joint Diseases, NYU Langone Medical Center, New York, New York, USA.
Kenneth EgolDepartment of Orthopedic Surgery, Hospital for Joint Diseases, NYU Langone Medical Center, New York, New York, USA.
Ravinder R RegatteDepartment of Radiology, NYU Langone Medical Center, Center for Biomedical Imaging, New York, New York, USA.
Punam K SahaDepartment of Radiology and Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA.
Gregory ChangDepartment of Radiology, NYU Langone Medical Center, Center for Musculoskeletal Care, New York, New York, USA.
NYU Langone Health · USUniversity of Iowa · USNew York University Langone Orthopedic Hospital · USUniversity of Pennsylvania · US

Funding

MRI of Proximal Femur Microarchitecture as a Biomarker of Bone QualityR01AR066008 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANG, GREGORY · 2014 to 2018
$2.8M
Osteoarthritis: Identification of Novel Imaging Biomarkers via 23Na/1H MRI at 7 TK23AR059748 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANG, GREGORY · 2011 to 2015
$663k
NIAMS NIH HHS K23 AR059748NIAMS NIH HHS R01 AR066008
6 · The paper itself

Abstract

purposeTo evaluate the within-day and between-day measurement reproducibility of in vivo 3D MRI assessment of trabecular bone microarchitecture of the proximal femur. MATERIALS AND

methodsThis Health Insurance Portability and Accountability Act (HIPPA)-compliant, Institutional Review Board (IRB)-approved study was conducted on 11 healthy subjects (mean age = 57.4 ± 14.1 years) with written informed consent. All subjects underwent a 3T MRI hip scan in vivo (0.234 × 0.234 × 1.5 mm) at three timepoints: baseline, second scan same day (intrascan), and third scan 1 week later (interscan). We applied digital topological analysis and volumetric topological analysis to compute the following microarchitectural parameters within the femoral neck: total bone volume, bone volume fraction, markers of trabecular number (skeleton density), connectivity (junctions), plate-like structure (surfaces), plate width, and trabecular thickness. Reproducibility was assessed using root-mean-square coefficient of variation (RMS-CV) and intraclass correlation coefficient (ICC).

resultsThe within-day RMS-CVs ranged from 2.3% to 7.8%, and the between-day RMS-CVs ranged from 4.0% to 7.3% across all parameters. The within-day ICCs ranged from 0.931 to 0.989, and the between-day ICCs ranged from 0.934 to 0.971 across all parameters.

conclusionThese results demonstrate high reproducibility for trabecular bone microarchitecture measures derived from 3T MR images of the proximal femur. The measurement reproducibility is within a range suitable for clinical cross-sectional and longitudinal studies in osteoporosis.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingFemaleFemur NeckHumansImage Processing, Computer-AssistedMaleMiddle AgedReference ValuesReproducibility of Results3T MRIdigital topological analysishipmicroarchitectureosteoporosisvolumetric topological analysis

Identifiers

PMID25824566
PMCPMC4589420
OpenAlexW1505584786

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.