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Record W2772486705 · doi:10.1097/gox.0000000000001580

The Superiorly Based Partial Rectus Abdominis and External Oblique Flap: A New Technique for Breast Asymmetry Reconstruction

2017· article· en· W2772486705 on OpenAlexaff
Jake Nowicki, Quoc Lam, Nicola R. Dean

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2017
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsInframammary foldMedicineOblique caseSurgeryHypoplasiaAsymmetryBreast reconstructionAnatomyImplantBreast cancerPhysicsInternal medicine

Abstract

fetched live from OpenAlex

Breast asymmetry has a wide spectrum of presentations with several employable strategies for surgical correction. Historically, the external oblique muscle has proven to be a versatile flap option for the reconstruction of both local and distant defects. It has also been described for use in breast reconstruction for coverage of the lower pole of implant prostheses. The external oblique muscle flap can be harvested in several ways to capture overlying fat and skin. In this study, we describe the use of a superiorly based partial rectus and external oblique flap for surgical correction of lower pole breast hypoplasia. This flap provides vascularized autologous volume to the lower pole of the breast with minimal donor morbidity. Other advantages of this flap are that it can increase the nipple to inframammary fold distance and lower the inframammary fold. This technique represents an evolution of an under-utilized flap and is the first study describing the use of the external oblique flap in the management of breast asymmetry.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.024
GPT teacher head0.292
Teacher spread0.268 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations3
Published2017
Admission routes1
Has abstractyes

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