Evidence map›Paper›PMID 30851438›Full record

ArticleBone2019

Influence of bone lesion location on femoral bone strength assessed by MRI-based finite-element modeling.

Chamith S Rajapakse, Nishtha Gupta, Marissa Evans, Hamza Alizai, Malika Shukurova, Abigail L Hong, Nicholas J Cruickshank, Nirmal Tejwani, Kenneth Egol, Stephen Honig and 1 more

Open access · greenAbstract read
In one paragraph

Article in Bone, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Chamith S RajapakseUniversity of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: chamith@mail.med.upenn.edu.
Nishtha GuptaUniversity of Pennsylvania, Philadelphia, PA, United States of America.
Marissa EvansUniversity of Pennsylvania, Philadelphia, PA, United States of America.
Hamza AlizaiNew York University, New York, NY, United States of America.
Malika ShukurovaUniversity of Pennsylvania, Philadelphia, PA, United States of America.
Abigail L HongUniversity of Pennsylvania, Philadelphia, PA, United States of America.
Nicholas J CruickshankUniversity of Pennsylvania, Philadelphia, PA, United States of America.
Nirmal TejwaniNew York University, New York, NY, United States of America.
Kenneth EgolNew York University, New York, NY, United States of America.
Stephen HonigNew York University, New York, NY, United States of America.
Gregory ChangNew York University, New York, NY, United States of America.
University of Pennsylvania · USNew York University · 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
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
Clinical Assessment of Hip Fracture Biomechanics using MRIR01AR068382 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2015 to 2019
$1.8M
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
NIAMS NIH HHS R01 AR066008NIAMS NIH HHS R01 AR068382NIAMS NIH HHS R01 AR070131NIAMS NIH HHS R01 AR073851NIBIB NIH HHS U24 EB028980
6 · The paper itself

Abstract

Currently, clinical determination of pathologic fracture risk in the hip is conducted using measures of defect size and shape in the stance loading condition. However, these measures often do not consider how changing lesion locations or how various loading conditions impact bone strength. The goal of this study was to determine the impact of defect location on bone strength parameters in both the sideways fall and stance-loading conditions. We recruited 20 female subjects aged 48-77 years for this study and performed MRI of the proximal femur. Using these images, we simulated 10-mm pathologic defects in greater trochanter, superior, middle, and inferior femoral head, superior, middle, and inferior femoral neck, and lateral, middle, and medial proximal diaphysis to determine the effect of defect location on change in bone strength by performing finite element analysis. We compared the effect of each osteolytic lesion on bone stiffness, strength, resilience, and toughness. For the sideways fall loading, defects in the inferior femoral head (12.21%) and in the greater trochanter (6.43%) resulted in the greatest overall reduction in bone strength. For the stance loading, defects in the mid femoral head (-7.91%) and superior femoral head (-7.82%) resulted in the greatest overall reduction in bone strength. Changes in stiffness, yield force, ultimate force, resilience, and toughness were not found to be significantly correlated between the sideways fall and stance-loading for the majority of defect locations, suggesting that calculations based on the stance-loading condition are not predictive of the change in bone strength experienced in the sideways fall condition. While stiffness was significantly related to yield force (R

Indexed as

Finite Element AnalysisMagnetic Resonance ImagingModels, TheoreticalAgedComputer SimulationDiaphysesFemaleFemurFemur NeckHumansMiddle AgedNonlinear DynamicsLesion locationProximal femurSideways fallStanceStiffnessStrength

Identifiers

PMID30851438
PMCPMC6486650
OpenAlexW2921104683

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.