Evidence map›Paper›PMID 31372372›Full record

ArticleBone reports2019

MRI-derived bone porosity index correlates to bone composition and mechanical stiffness.

Abigail L Hong, Mikayel Ispiryan, Mugdha V Padalkar, Brandon C Jones, Alexandra S Batzdorf, Snehal S Shetye, Nancy Pleshko, Chamith S Rajapakse

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Bone reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

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  6. Bone Biomarkers Based on Magnetic Resonance Imaging.Seminars in musculoskeletal radiology · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Abigail L HongDepartment of Radiology, University of Pennsylvania, United States of America.
Mikayel IspiryanDepartment of Radiology, University of Pennsylvania, United States of America.
Mugdha V PadalkarDepartment of Bioengineering, Temple University, United States of America.
Brandon C JonesDepartment of Radiology, University of Pennsylvania, United States of America.
Alexandra S BatzdorfDepartment of Radiology, University of Pennsylvania, United States of America.
Snehal S ShetyeDepartment of Orthopaedic Surgery, University of Pennsylvania, United States of America.
Nancy PleshkoDepartment of Bioengineering, Temple University, United States of America.
Chamith S RajapakseDepartment of Radiology, University of Pennsylvania, United States of America.
University of Pennsylvania · USTemple University · US

Funding

Overall: Resource-based Center for Musculoskeletal Disorders Research (Overall Application)P30AR069619 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI LOUIS J SOSLOWSKY · 2016 to 2026
$9.1M
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
Training in Structural, Physiologic and Functional MRIT32EB020087 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JAMES C GEE, Chamith Sudesh Rajapakse · 2016 to 2026
$2.1M
Clinical Assessment of Hip Fracture Biomechanics using MRIR01AR068382 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2015 to 2019
$1.8M
Non-Destructive Spectroscopic Assessment of Bone Water at Microscopic ResolutionR21AR071704 · NIAMS · TEMPLE UNIV OF THE COMMONWEALTH · PI PLESHKO, NANCY · 2017 to 2018
$376k
NIAMS NIH HHS P30 AR069619NIAMS NIH HHS R01 AR066008NIAMS NIH HHS R01 AR068382NIAMS NIH HHS R21 AR071704NIBIB NIH HHS T32 EB020087
6 · The paper itself

Abstract

The MRI-derived porosity index (PI) is a non-invasively obtained biomarker based on an ultrashort echo time sequence that images both bound and pore water protons in bone, corresponding to water bound to organic collagenous matrix and freely moving water, respectively. This measure is known to strongly correlate with the actual volumetric cortical bone porosity. However, it is unknown whether PI may also be able to directly quantify bone organic composition and/or mechanical properties. We investigated this in human cadaveric tibiae by comparing PI values to near infrared spectral imaging (NIRSI) compositional data and mechanical compression data. Data were obtained from a cohort of eighteen tibiae from male and female donors with a mean ± SD age of 70 ± 21 years. Biomechanical stiffness in compression and NIRSI-derived collagen and bound water content all had significant inverse correlations with PI (

Indexed as

Bone biomechanicsBone stiffnessMagnetic resonance imagingMRINear infrared spectral imagingPorosity indexUltrashort echo time

Identifiers

PMID31372372
PMCPMC6660551
OpenAlexW2954971586

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.