Evidence map›Paper›PMID 41938871›Full record

ArticleClinics in orthopedic surgery2026

Can the Finite Element Method Be Applied to Patient-Specific Implant Evaluation?

Suyeon Lee, Hyenmin Park, Hyun Guy Kang, June Hyuk Kim, Im Doo Jung, Jong Woong Park

Abstract read
In one paragraph

Article in Clinics in orthopedic surgery, 2026. 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

6 authors.

Suyeon LeeMedical Engineering Branch, Division of Technology Convergence, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0009-0008-1735-0089
Hyenmin ParkSurgical Oncology Branch, Division of Clinical Research, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0009-0005-5665-6572
Hyun Guy KangMedical Engineering Branch, Division of Technology Convergence, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-1994-6990
June Hyuk KimOrthopaedic Oncology Clinic, Center for Sarcoma, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-8899-5342
Im Doo JungDepartment of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea.ORCID https://orcid.org/0000-0003-0883-1848
Jong Woong ParkSurgical Oncology Branch, Division of Clinical Research, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-8044-7624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The introduction of 3-dimensional printing has revolutionized orthopedic surgery, enabling patient-customized implants to address complex bone defects. However, ensuring reliable fixation remains a considerable challenge. Herein, we developed a finite element analysis (FEA)-based flow designed to evaluate implant fixation across various anatomical sites. Methods: We applied this flow to the pelvic region to validate its fixation strategies and optimize the design across different osteointegration stages: acute, pre-, and post-osteointegration. Effects of screw-fixation methods (short screws in the cancellous bone and long screws in the cortical bone) on patient outcomes were analyzed and validated using data from 2 patients. Results: Predictive outcomes aligned closely with clinical results in terms of the location and timing of screw-fixation failure. Conclusions: The study findings affirm the potential of FEA to verify implant design and fixation strategies and to enhance surgical success rates through improved preoperative planning.

Indexed as

Finite Element AnalysisPelvic BonesBone ScrewsFemaleHumansPrinting, Three-DimensionalProsthesis DesignBone reconstructionFinite element analysisImplantOrthopedicsThree-dimensional printing

Identifiers

PMID41938871
PMCPMC13047387

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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.