Evidence map›Paper›PMID 42099887›Full record

ArticleJB & JS open access

Biomechanical and Computational Modeling of Metastatic Acetabular Defects: Influence of Tumor Location on the Risk of Fracture.

Jacob Doddridge, Hongjia He, Rui Yang, E U Conrad, Nicholas Dunbar

Abstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jacob DoddridgeMcGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas.ORCID https://orcid.org/0009-0003-8164-4675
Hongjia HeDepartment of Orthopedic Surgery, The University of Texas Health Science Center at Houston, Houston, Texas.ORCID https://orcid.org/0000-0002-4743-1452
Rui YangDepartment of Orthopedic Surgery, The University of Texas Health Science Center at Houston, Houston, Texas.ORCID https://orcid.org/0000-0001-6291-8747
E U ConradDepartment of Orthopedic Surgery, The University of Texas Health Science Center at Houston, Houston, Texas.ORCID https://orcid.org/0000-0002-0485-907X
Nicholas DunbarDepartment of Orthopedic Surgery, The University of Texas Health Science Center at Houston, Houston, Texas.ORCID https://orcid.org/0000-0001-7769-4176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metastatic bone disease can lead to pathologic fracture of the pelvis which affects quality of life. There are limited validated approaches for biomechanical modeling, classification, or surgical treatment of metastatic acetabular defects. Methods: An artificial hemipelvis bone was used to calibrate a computed tomography-based computational model of the pelvis with varying locations and sizes of acetabular defects. Metastatic defects affecting the anterior and posterior column, medial wall, and their combinations were created. Mechanical testing was performed on each defect, and images of the lateral surface of the acetabulum were analyzed by digital image correlation to measure peak surface strains. Finite element models were calibrated to match the measured peak surface strains. Pelvic stress during acetabular loading was predicted at the (1) medial wall, (2) superior acetabular region, (3) anterior, and (4) posterior columns. Acetabular regions with the highest risk for fracture based on margin of safety were identified by the defect type. Results: The predicted surface strains were strongly correlated ( Conclusions: Pelvic fragility resulting from metastatic lesions was sensitive to the periacetabular defect location. Combined posterior column and medial wall defects caused the greatest compromise to pelvic structural integrity, with the superior acetabular region and medial wall identified as the most critical locations for pelvic fracture. These findings influence surgical decision-making by identifying posterior column and medial wall lesions as high-risk patterns that may require earlier prophylactic stabilization. Level of Evidence: Level V. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID42099887
PMCPMC13148746

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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.