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Record W4394930104 · doi:10.1093/jbcr/irae036.225

591 Efficacy of a 3D Printed Microstomia Orthosis on Mouth Opening and Function, a Case Series

2024· article· en· W4394930104 on OpenAlexaff
Zoë Edger-Lacoursière, Valérie Calva, Geneviève Schneider, Bernadette Nedelec

Bibliographic record

VenueJournal of Burn Care & Research · 2024
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicrostomiaMedicineDentistry

Abstract

fetched live from OpenAlex

Abstract Introduction Microstomia, often observed following facial burn injuries, can hinder functional activities such as eating, speaking, dental care, and medical procedures such as intubation. Thus, microstomia orthoses (MO) are used to increase mouth opening and function. Various designs of custom fabricated MOs have been published, however, to the best of our knowledge, the first report of a 3D MO for mouth burns was presented at the 2023 ABA conference. This 3D MO was modified to generate additional sizes and address issues of comfort and material rigidity. The modified 3D MO (available on Thingverse) was then trialed with 3 patients at different stages of their rehabilitation and their outcomes documented. Methods The purpose of this case series was to evaluate the efficacy of a 3D MO on mouth opening and function when used to treat 3 adult burn survivors. The mouth impairment and disability assessment (MIDA), including measures of horizontal and vertical mouth opening, was completed before the use of the 3D MO and after 4 months of wear. All participants had previously reached a plateau on the MIDA and opening measures after the use of various commercially available MOs before starting the 3D MO. They were also asked to evaluate the comfort and whether they would modify any aspect of the MO. Results The total material cost of this MO ranged from 2-3 $CAD. The print time ranged between 5.5-8 hrs (depending on mouthpiece size) using a 3D printer valued at ~250$CAD. The 3 participants were male with a mean age of 40 years, mean TBSA of 9.5% and 2/3 participants received face grafts. Patients started using the 3D MO at different timepoints post-burn: 4m, 9m and 15m. The 4-month post 3D MO wear MIDAs are currently being completed. However, one patient completed the questionnaire, which improved by15 points. Another patient was able to avoid having reconstructive surgery. To date, all patients improved both their horizontal and vertical mouth opening measures (mean improvement - horizontal: 0.72 (0.52) cm range [0.16-1.2]; vertical: 0.92 (0.41) cm range [0.67-1.4]). The MOs were worn between 2 weeks-4 months for a minimum of 30 min/day to achieve these results, but data collection is ongoing. All patients reported that the MO was comfortable, and they prefer it to all the MOs they had worn previously. Conclusions Although data collection is ongoing, patients who had previously plateaued have improved function and oral opening after the application of this modified 3D MO. Applicability of Research to Practice This cost-effective solution increases accessibility of MOs for individuals who do not have access to commercially available MOs. The need for economically feasible alternatives is particularly important in developing countries where burn injuries are more prevalent.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.405
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
Admission routes1
Has abstractyes

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