Evidence map›Paper›PMID 33271401›Full record

ArticleBone2021

MRI-derived porosity index is associated with whole-bone stiffness and mineral density in human cadaveric femora.

Brandon C Jones, Shaowei Jia, Hyunyeol Lee, Anna Feng, Snehal S Shetye, Alexandra Batzdorf, Nadav Shapira, Peter B Noël, Nancy Pleshko, Chamith S Rajapakse

Open access · greenAbstract read
In one paragraph

Article in Bone, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Quantitative imaging in medicine and surgery · 2024
    Article
  5. Article
  6. In Vivo Assessment of Bone Quality Without X-rays.Current osteoporosis reports · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. TNMR in biomedicine · 2023
    Article
  11. Article
  12. Review
  13. 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

10 authors at 3 institutions in 2 countries.

Brandon C JonesDepartment of Radiology, University of Pennsylvania, United States of America; Department of Bioengineering, University of Pennsylvania, United States of America. Electronic address: bcjones@seas.upenn.edu.
Shaowei JiaDepartment of Radiology, University of Pennsylvania, United States of America; School of Biomedical Science and Medical Engineering, Beihang University, China.
Hyunyeol LeeDepartment of Radiology, University of Pennsylvania, United States of America.
Anna FengDepartment of Bioengineering, University of Pennsylvania, United States of America.
Snehal S ShetyeDepartment of Orthopaedic Surgery, University of Pennsylvania, United States of America.
Alexandra BatzdorfDepartment of Radiology, University of Pennsylvania, United States of America.
Nadav ShapiraDepartment of Radiology, University of Pennsylvania, United States of America.
Peter B NoëlDepartment of Radiology, 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; Department of Orthopaedic Surgery, University of Pennsylvania, United States of America.
University of Pennsylvania · USBeihang University · CNTemple 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 Assessment of Hip Fracture Risk and Therapy Response in HIV/HCV CoinfectionR01AR076392 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2019 to 2023
$2.7M
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
NIAMS NIH HHS P30 AR069619NIAMS NIH HHS R01 AR068382NIAMS NIH HHS R01 AR076392NIBIB NIH HHS T32 EB020087
6 · The paper itself

Abstract

Ultrashort echo time (UTE) magnetic resonance imaging (MRI) measures proton signals in cortical bone from two distinct water pools, bound water, or water that is tightly bound to bone matrix, and pore water, or water that is freely moving in the pore spaces in bone. By isolating the signal contribution from the pore water pool, UTE biomarkers can directly quantify cortical bone porosity in vivo. The Porosity Index (PI) is one non-invasive, clinically viable UTE-derived technique that has shown strong associations in the tibia with μCT porosity and other UTE measures of bone water. However, the efficacy of the PI biomarker has never been examined in the proximal femur, which is the site of the most catastrophic osteoporotic fractures. Additionally, the loads experienced during a sideways fall are complex and the femoral neck is difficult to image with UTE, so the usefulness of the PI in the femur was unknown. Therefore, the aim of this study was to examine the relationships between the PI measure in the proximal cortical shaft of human cadaveric femora specimens compared to (1) QCT-derived bone mineral density (BMD) and (2) whole bone stiffness obtained from mechanical testing mimicking a sideways fall. Fifteen fresh, frozen whole cadaveric femora specimens (age 72.1 ± 15.0 years old, 10 male, 5 female) were scanned on a clinical 3-T MRI using a dual-echo UTE sequence. Specimens were then scanned on a clinical CT scanner to measure volumetric BMD (vBMD) and then non-destructively mechanically tested in a sideways fall configuration. The PI in the cortical shaft demonstrated strong correlations with bone stiffness (r = -0.82, P = 0.0014), CT-derived vBMD (r = -0.64, P = 0.0149), and with average cortical thickness (r = -0.60, P = 0.0180). Furthermore, a hierarchical regression showed that PI was a strong predictor of bone stiffness which was independent of the other parameters. The findings from this study validate the MRI-derived porosity index as a useful measure of whole-bone mechanical integrity and stiffness.

Indexed as

FemurMagnetic Resonance ImagingAgedAged, 80 and overBone DensityCadaverFemaleHumansMaleMiddle AgedMineralsPorosityX-Ray MicrotomographyMineralsBone porosityBone stiffnessBone waterFemurFractureHipMRIPorosity indexUltrashort echo time

Identifiers

PMID33271401
PMCPMC7769997
OpenAlexW3108503102

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.