MétaCan
Menu
Back to cohort
Record W4321099735 · doi:10.47191/ijmscrs/v3-i2-14

How to Preserve the Nipple Erogenous Sensation in Breast Lifting and Reduction Mammaplasties

2023· article· en· W4321099735 on OpenAlexaff
Richard Moufarrège, R. Laurent, Georgio Gholam, Ramy Schoucair, M. Aribert

Bibliographic record

VenueInternational Journal of Medical Science and Clinical Research Studies · 2023
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSensationMedicineReduction (mathematics)Breast reductionMammaplastySurgeryPsychologyNeuroscience

Abstract

fetched live from OpenAlex

Preservation of nipple sensitivity after breast reduction is an important goal to achieve. However, most breast reduction techniques focus more on breast aesthetics and nipple areolar complex vascularity, ignoring nipple sensitivity particularly nipple erogenous sensation. In fact, 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 reductions. The erogenous sensation is supplied by the IVth, Vth and VIth intercostal nerves who run laterally on the surface along the muscular aponeurosis. The total posterior pedicle breast reduction technique described by Richard Moufarrege in 1982 consists of dissecting the skin away from the breast tissue offering free access to all breast quadrants. This technique is known for its robust blood supply to the nipple areolar complex, for its preservation of the breastfeeding function and for its low rate of long term complications such as pseudoptosis. In this article, we also demonstrate that the Moufarrege Total Posterior Pedicle preserves the nipple erogenous sensation among women undergoing breast reduction using this technique.

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)0.021
metaresearch head score (Gemma)0.027
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 score0.652
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.323
GPT teacher head0.586
Teacher spread0.263 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Medical Science and Clinical Research StudiesSame topicBody Image and Dysmorphia StudiesFrench-language works237,207