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Record W4327752734 · doi:10.47191/ijmscrs/v3-i3-32

The Moufarrege Total Submuscular Augmentation or How to Preserve Nipple Erogenous Sensation in Breast Augmentation

2023· article· en· W4327752734 on OpenAlexaff
Richard Moufarrège, Romain Laurent, Ramy Schoucair, Georgio Gholam, Marion Aribert, Cyril Awaida

Bibliographic record

VenueInternational Journal of Medical Science and Clinical Research Studies · 2023
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSensationBreast augmentationMedicineSurgeryIntercostal nervesImplantAnatomyPsychology

Abstract

fetched live from OpenAlex

Breast augmentation is currently one of the most common plastic surgery procedures performed worldwide. However, patients who underwent this procedure always complain of postoperative sensory changes at the nipple areolar complex. The nipple nervous system includes a tactile sensation system and an erogenous sensation system, the latter being less described and commonly overlooked by plastic surgeons performing breast augmentations. The erogenous sensation is supplied by the IVth, Vth and VIth intercostal nerves who run laterally on the surface along the muscular aponeurosis. Both subpectoral (dual plane) breast augmentations and sub-glandular breast augmentations present a real and constant risk of damage to these nerves, resulting in a permanent loss of nipple erogenous sensation. In the Total Submuscular Breast Augmentation approach, the implant is inserted behind the four muscles: the external oblique, the serratus anterior, the pectoralis minor and the pectoralis major. This approach will preserve the three intercostal nerves responsible for the erogenous sensation of the nipple. In this article we describe the surgical technique and the advantages of the total submuscular breast augmentation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.251
GPT teacher head0.565
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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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