Evidence map›Paper›PMID 39456000›Full record

ArticleBiomedical engineering online2024

Evaluation of stiffness-matched, 3D-printed, NiTi mandibular graft fixation in an ovine model.

Nada Raafat Khattab, Luis H Olivas-Alanis, Agnieszka Chmielewska-Wysocka, Hany Emam, Ryan Brune, Ahmadreza Jahadakbar, Sahil Khambhampati, Joseph Lozier, Keyvan Safaei, Roman Skoracki and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Biomedical engineering online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

12 authors.

Nada Raafat KhattabDepartment of Materials Science and Engineering, The Ohio State University, 140 W 19th Ave., Columbus, OH, 43210, USA.
Luis H Olivas-AlanisDepartment of Materials Science and Engineering, The Ohio State University, 140 W 19th Ave., Columbus, OH, 43210, USA.
Agnieszka Chmielewska-WysockaCardinal Stefan Wyszynski University in Warsaw, Multidisciplinary Research Center, Dziekanow Lesny, Poland.
Hany EmamOral and Maxillofacial Surgery, The Ohio State University, 305 W. 12th Ave., Columbus, OH, 43210, USA.
Ryan BruneCenter for Design and Manufacturing Excellence, The Ohio State University, Bevis Hall, 1080 Carmack Rd, Columbus, OH, 43210, USA.
Ahmadreza JahadakbarDepartment of Mechanical, Industrial and Manufacturing Engineering, University of Toledo, 2801 Bancroft St., Toledo, OH, 43606, USA.
Sahil KhambhampatiDepartment of Materials Science and Engineering, The Ohio State University, 140 W 19th Ave., Columbus, OH, 43210, USA.
Joseph LozierDepartment of Veterinary Clinical Sciences, The Ohio State University, 1900 Coffey Rd., Columbus, OH, 43210, USA.
Keyvan SafaeiDepartment of Mechanical, Industrial and Manufacturing Engineering, University of Toledo, 2801 Bancroft St., Toledo, OH, 43606, USA.
Roman SkorackiDepartment of Plastic and Reconstructive Surgery, Ohio State Plastic Surgery, 915 Olentangy River Road, Columbus, OH, 43212, USA.
Mohammad ElahiniaDepartment of Mechanical, Industrial and Manufacturing Engineering, University of Toledo, 2801 Bancroft St., Toledo, OH, 43606, USA.
David DeanDepartment of Materials Science and Engineering, The Ohio State University, 140 W 19th Ave., Columbus, OH, 43210, USA. David.Dean@osumc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManually bent, standard-of-care, Ti-6Al-4V, mandibular graft fixation devices are associated with a significant post-operative failure rate. These failures require the patient to endure stressful and expensive re-operation. The approach recommended in this report demonstrates the optimization of graft fixation device mechanical properties via "stiffness-matching" by varying the fixation device's location, shape, and material composition through simulation of the device's post-operative performance. This provides information during pre-operative planning that may avoid future device failure. Optimized performance may combine translation of all loading into compression of the bone graft with the adjacent bone segments and elimination or minimization of post-healing interruption of normal stress-strain (loading) trajectories.

resultsThis study reports a sheep mandibular graft model where four animals received virtually optimized, experimental nickel-titanium (NiTi) fixation plates fabricated using laser beam powder bed fusion (LPBF) additive manufacturing (AM). The last animal, our control, received a standard-of-care, manually bent, Ti-6Al-4V (aka Ti64) fixation plate. A 17.5-mm mandibular graft healed completely in all four animals receiving the experimental device. Experimental NiTi-implanted sheep experienced mandibular bone healing and restoration. The Ti64 plate, in the control animal, fractured and dislocated shortly after being implanted.

conclusionThe use of stiffness-matched implants, by means of plate material (NiTi) and geometry (porosity) enhanced bone healing and promoted better load transfer to the healed bone when compared to the bulk Ti64 found in the fixation plate that the Control animal received. The design technique and screw orientation and depth planning improved throughout the study leading to more rapid healing. The large animal model reported here provides data useful for a follow-on clinical trial.

Indexed as

MandiblePrinting, Three-DimensionalTitaniumAlloysAnimalsBiomechanical PhenomenaBone TransplantationMaterials TestingMechanical PhenomenaNickelSheepAlloysNickelTitaniumtitanium nickelideAdditive manufacturingNickel–titaniumSheep modelStress shielding/stress concentrationVirtual surgical planning

Identifiers

PMID39456000
PMCPMC11515221

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Registered trials

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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.