Evidence map›Paper›PMID 41416754›Full record

ArticleJournal of biomechanical engineering2026

Magnetic Resonance Imaging-Based Cohesive Extended Finite Element Modeling of Atypical Femoral Fracture.

Ashkan Sedigh, Nada Kamona, Brandon C Jones, Brian-Tinh Vu, Chet Friday, Brendan Stoeckl, Christiana L Cottrell, Alyssa Rosen, Chamith S Rajapakse, Ani Ural

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ashkan SedighDepartment of Mechanical Engineering, Villanova University, Villanova, PA 19087.
Nada KamonaDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104;Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
Brandon C JonesDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104;Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
Brian-Tinh VuDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104;Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
Chet FridayDepartment of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA 19104.
Brendan StoecklDepartment of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-1799-2312
Christiana L CottrellDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Alyssa RosenDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Chamith S RajapakseDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104;Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
Ani UralDepartment of Mechanical Engineering, Villanova University, 800 Lancaster Avenue, Villanova, PA 19085.

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
Training Program in Musculoskeletal ResearchT32AR007132 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Robert L Mauck, LOUIS J SOSLOWSKY · 1986 to 2026
$4.9M
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
National Science Foundation CMMI-2026906, CMMI-2025923NIAMS NIH HHS P30 AR069619NIAMS NIH HHS R01 AR076392NIAMS NIH HHS T32 AR007132
6 · The paper itself

Abstract

Atypical femoral fracture (AFF) is a rare fracture associated with prolonged bisphosphonate (BP) treatment that occurs in the subtrochanter and midshaft of the femur. The association of AFF with BP treatment suggests alterations in femoral material properties with treatment. Femoral geometry has also been identified as a potential contributor to AFF. This study aims to demonstrate the novel integration of high-resolution magnetic resonance imaging (MRI) with cohesive extended finite element method (XFEM) to assess AFF. Using this approach, we quantified the independent contributions of femoral geometry and material property distribution to fracture resistance at the AFF site. MRI-based finite element models of female donor femurs incorporating homogeneous and specimen-specific heterogeneous material properties derived from MRI-based bone volume fraction (BVF) were evaluated. To assess the predictive capability of the models, experimental testing of the femur under stance loading was performed. Simulation results showed that when only geometrical properties of the femur were considered anterior bowing angle and neck shaft angle showed negative and positive correlations with fracture load, respectively. Fracture load increased with increasing specimen-specific means BVF. Simulation femoral stiffness and lateral strains where AFF occurs correlated significantly with experimental values. Our findings demonstrate that MRI-based cohesive XFEM can assess crack formation in AFF and highlight the need for considering both geometrical and material properties when assessing AFF risk. This study lays the foundation for MRI-based AFF assessment, which can be extended to MRI-specific measurements that cannot be quantified by other imaging modalities.

Indexed as

Femoral FracturesFinite Element AnalysisMagnetic Resonance ImagingMechanical PhenomenaAgedBiomechanical PhenomenaFemaleFemurHumansMiddle AgedStress, Mechanicalatypical femoral fracturebone volume fractionextended finite element modelingfemur geometrymagnetic resonance imaging

Identifiers

PMID41416754
PMCPMC13542553

What Socratic holds

Textmetadata
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 Socratic graph.