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Record W4409023587 · doi:10.1093/jbcr/iraf019.523

992 Optimizing Facial Outcomes: A One-Year Evaluation of the Sequential Compression Appliance to Reduce Scarring Facemask

2025· article· en· W4409023587 on OpenAlexaboutno aff
Michelle N Dwertman, Henry Huson

Bibliographic record

VenueJournal of Burn Care & Research · 2025
Typearticle
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCompression (physics)Surgery

Abstract

fetched live from OpenAlex

Abstract Introduction The management of facial scarring remains a critical challenge with the limitations of traditional transparent facial orthoses (TFOs), which are rigid, lack the ability to adapt to facial movements, and are difficult to customize. To overcome these obstacles, we developed a ‘Sequential Compression Appliance to Reduce Scarring’ (SCARS) facemask - a novel orthosis designed to provide effective scar management, while allowing natural facial movement. This study builds on our previous work by further evaluating the SCARS mask’s design, and clinical outcomes. Methods Patients were fitted with a traditional TFO outer layer and a SCARS flexible inner layer made of Heat Cure Rubber (HCR) silicone. The inner SCARS layer delivers a minimum pressure of 20mmHg, conforming to facial contours, while maintaining flexibility for movements with the temporomandibular joint (TMJ). Customizations include color tinting to match individual skin tones and a lightweight design that allows the SCARS mask to be worn independently or in conjunction with the TFO. Further, it may be worn with a rigid neck collar, has widely available harnessing, and trimming may be done with scissors. The SCARS mask is molded and shaped based on a 3D scan. Trials were conducted on three patients with severe facial burns and microstomia. Trials assessed patient scarring, preference, comfort during wear, and range of motion (ROM) while using the SCARS mask. Two patients were unable to tolerate the traditional rigid TFO and solely utilized the SCARS inner layer. Results Patients using the SCARS masks showed a 25% reduction in scar height and a 12% improvement in skin pliability, as measured by the Vancouver Scar Scale. Patients reported a strong preference for the SCARS mask over traditional TFOs, citing improved comfort and freedom of movement, with an average Likert scale rating of 4.5. The SCARS mask’s ability to accommodate natural facial movements was especially beneficial during eating, where the TFO made eating impossible (average rating: 5), but the SCARS mask allowed for mild difficulty (average rating: 2.43). Conclusions The SCARS facemask offers a transformative approach to facial pressure management that is safe and effective for decreasing scar height and pliability, combining flexibility, adaptability, and patient-centered design. Its innovative features not only enhance patient comfort and access, but also provide effective scar treatment, making it a valuable option in clinical practice for individuals with facial burn-related scarring. Applicability of Research to Practice The SCARS mask’s pliable design offers a viable option for managing facial scarring, with potential to improve patient adherence. Its compatibility with rigid neck collars, use with widely available harnessing, color-tinting, and cost-effective modifications make it an accessible and practical solution for enhancing scar management outcomes. Funding for the Study

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.179
GPT teacher head0.492
Teacher spread0.314 · 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 designObservational
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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Citations0
Published2025
Admission routes1
Has abstractyes

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