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Record W2330106517

Lower lip reconstruction after tumor resection; a single author's experience with various methods.

2006· article· en· W2330106517 on OpenAlexaff
Mohammed Ahmed Rifaat

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicReconstructive Facial Surgery Techniques
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsMedicineMicrostomiaLower lipVermilionSurgeryTongueBasal cellOrbicularis oris muscleResectionUpper lipAnatomyPathology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Squamous cell carcinoma is the most frequently seen malignant tumor of the lower lip. The more tissue is lost from the lip after tumor resection, the more challenging is the reconstruction. Many methods have been described, but each has its own advantages and its disadvantages. The author presents through his own clinical experience with lower lip reconstruction at the NCI, an evaluation of the commonly practiced techniques. PATIENTS AND METHODS: Over a 3 year period from May 2002 till May 2005, 17 cases presented at the National Cancer Institute, Cairo University, with lower lip squamous cell carcinoma. The lesions involved various regions of the lower lip excluding the commissures. Following resection, the resulting defects ranged from 1 /3 of lip to total lip loss. The age of the patients ranged from 28 to 67 years and they were 13 males and 4 females. With regards to the reconstructive procedures used, Karapandzic technique (orbicularis oris myocutaneous flaps) was used in 7 patients, 3 of whom underwent secondary lower lip augmentation with upper lip switch flaps. Primary Abbe (Lip switch) flap reconstruction was used in two patients, while 2 other patients were reconstructed with bilateral fan flaps with vermilion reconstruction by mucosal advancement in one case and tongue flap in the other. The radial forearm free flap was used only in 2 cases, and direct wound closure was achieved in three cases. All patients were evaluated for early postoperative results emphasizing on flap viability and wound problems and for late results emphasizing on oral continence, microstomia, and aesthetic outcome, in addition to the usual oncological follow-up. RESULTS: All flaps used in this study survived completely including the 2 free flaps. In the early postoperative period, minor wound breakdown occurred in all three cases reconstructed by utilizing adjacent cheek skin flaps, but all wounds healed spontaneously. The latter three cases involved defects greater than 2 /3 of lower lip and one of them was previously irradiated. Those patients then suffered from occasional drooling of saliva. The best results in terms of oral continence and cosmetic outcome were achieved in those cases reconstructed with flaps utilizing residual lower lip or upper lip tissues (i.e; the Karapandzic technique (orbicularis oris myocutaneous flaps, and the Abbe (upper lip switch flaps). Nevertheless, microstomia developed in four patients primarily reconstructed with the Karapandzic technique in which defects were greater than one half of the lip. Only one of those patients tolerated her microstomia and required no further treatment. The remaining three patients showed marked improvement after augmenting the lower lip with bilateral paraphiltral lip switch flaps from upper lip in a second stage. The follow-up period ranged from 6 months to three years during which no patient had developed local recurrence or distant metastasis. CONCLUSION: Lower lip reconstruction aims to restore function and appearance with the best results obtained by utilizing residual normal lip tissues incorporating potentially innervated muscle fibers. With larger defects, reconstruction is less than optimal, but every effort should be taken to obtain an adequate sphincter function and lip continence to saliva, both of which are the most important goals to achieve in lip reconstruction.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.003

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 head0.023
GPT teacher head0.278
Teacher spread0.255 · 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".

Quick stats

Citations17
Published2006
Admission routes1
Has abstractyes

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