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Record W4391940514

Novel Management of Rhinophyma by Patterned Ablative 2940nm Erbium:YAG Laser

2020· article· en· W4391940514 on OpenAlexaboutno aff
Ashraf Badawi, Mohamed Elmudathir Osman, Alain J. Kassab

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsAblative caseRhinophymaErbiumMaterials scienceLaserMedicineBiomedical engineeringDermatologyOpticsSurgeryPhysicsRadiation therapy
DOInot available

Abstract

fetched live from OpenAlex

Ashraf Badawi,1,2 Mai Osman,1 Ahmed Kassab1 1Department of Medical Laser Applications, National Institute of Laser Enhanced Sciences, Cairo University, Giza, Egypt; 2Department of Dermatology and Allergology, Faculty of Medicine, University of Szeged, Szeged, HungaryCorrespondence: Ashraf Badawi 2147 Mayflower Boulevard, Oakville, Ontario L6H4E6, CanadaEmail ashrafbadawi@hotmail.comIntroduction: Rhinophyma is a cosmetic disorder that causes emotional distress if the symptoms are extensive or obvious enough. Treatment options range from topical antibiotics or isotretinoin, surgical resection, cryosurgery, electrocautery, dermabrasion and more recently laser therapy. With the limitations of surgical techniques, lasers gained popularity for treating rhinophyma. However, laser ablation is invasive and can lead to side effects and prolonged downtime. Fractional photothermolysis (FP) was introduced to overcome the limitations posed by conventional ablative lasers. To the best of our knowledge, there are no previous studies to evaluate the use of Er:YAG in an ablative mode with a fractional handpiece for the treatment of rhinophyma.Aim of the Work: The goal of this study was to evaluate the efficacy and safety of fractional ablative 2940 nm Er:YAG laser for the treatment of mild to moderate rhinophyma.Patients and Methods: Sixteen patients having mild to moderate rhinophyma were treated with fractional ablative 2940 nm Er:YAG laser. All patients received 4 laser treatments and were followed up over the following 3 months. An additional follow-up appointment 6 months after the last session was arranged to detect any signs of recurrence.Outcome Measures: Patient questionnaire was used to evaluate patient subjective satisfaction. Objective evaluation was performed by a blind assessment of clinical photographs that were taken before and 3 months after the final treatment by two independent blinded evaluators.Results: Patient questionnaire taken 3 months after last treatment revealed that 8 patients (50%) were “very satisfied”, 4 patients (25%) were satisfied, and 4 patients (25%) were somewhat satisfied. None of the patients assessed their results as not satisfying.Conclusion: In conclusion, the use of patterned ablative Er:YAG laser with a PS01 handpiece and parameters used in this study comprise an effective tool for treatment of mild to moderate rhinophyma with rapid postoperative recovery compared with conventional surgical procedures and other ablative lasers.Keywords: rhinophyma, fractional lasers, ablative lasers, Er:YAG laser

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.220
GPT teacher head0.528
Teacher spread0.308 · 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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Citations0
Published2020
Admission routes1
Has abstractyes

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