Evidence map›Paper›PMID 31128580›Full record

ArticleBulletin of the Hospital for Joint Disease (2013)2019

A Novel MRI Tool for Evaluating Cortical Bone Thickness of the Proximal Femur.

Austin J Ramme, Shaleen Vira, Alexandra Hotca, Rhiannon Miller, Arakua Welbeck, Stephen Honig, Kenneth A Egol, Chamith S Rajapakse, Gregory Chang

Abstract read
In one paragraph

Article in Bulletin of the Hospital for Joint Disease (2013), 2019. 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
–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

5 citing papers in PubMed.

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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.

Austin J Ramme
Shaleen Vira
Alexandra Hotca
Rhiannon Miller
Arakua Welbeck
Stephen Honig
Kenneth A Egol
Chamith S Rajapakse
Gregory Chang

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
MRI of Proximal Femur Bone Quality for Monitoring Short-Term Response to Osteoporosis TherapyR01AR073851 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANG, GREGORY · 2019 to 2023
$2.8M
Translation of Hip Microarchitectural Assessment Technology to the Clinic to Diagnose Glucocorticoid-Induced OsteoporosisR01AR070131 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANG, GREGORY · 2016 to 2020
$2.7M
Advanced Software for MRI, PET, SPECT and CT Image AnalysisU24EB028980 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 2019 to 2021
$1.2M
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 AR066008NIAMS NIH HHS R01 AR070131NIAMS NIH HHS R01 AR073851NIBIB NIH HHS U24 EB028980
6 · The paper itself

Abstract

backgroundOsteoporotic hip fractures heavily cost the health care system. Clinicians and patients can benefit from improved tools to assess bone health. Herein, we aim to develop a three-dimensional magnetic resonance imaging (MRI) method to assess cortical bone thickness and assess the ability of the method to detect regional changes in the proximal femur.

methodsEighty-nine patients underwent hip magnetic resonance imaging. FireVoxel and 3DSlicer were used to generate three-dimensional proximal femur models. ParaView was used to define five regions: head, neck, greater trochanter, intertrochanteric region, and subtrochanteric region. Custom software was used to calculate the cortical bone thickness and generate a color map of the proximal femur. Mean cortical thickness values for each region were calculated. Statistical t-tests were performed to evaluate differences in cortical thickness based on proximal femur region. Measurement reliability was evaluated using coefficient of variation, intraclass correlation coefficients, and overlap metrics.

resultsThree-dimensional regional cortical thickness maps for all subjects were generated. The subtrochanteric region was found to have the thickest cortical bone and the femoral head had the thinnest cortical bone. There were statistically significant differences between regions (p < 0.01) for all possible comparisons.

conclusionsCortical bone is an important contributor to bone strength, and its thinning results in increased hip fracture risk. We describe the development and measurement reproducibility of an MRI tool permitting assessment of proximal femur cortical thickness. This study represents an important step toward longitudinal clinical trials interested in monitoring the effectiveness of drug therapy on proximal femur cortical thickness.

Indexed as

Cortical BoneFemurAgedBone DensityFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedOrgan SizeOsteoporosisOsteoporotic FracturesReproducibility of Results

Identifiers

PMID31128580
PMCPMC7336874

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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.