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Record W2415706228

Double fat plane of the radial forearm free flap and its implications for the microvascular surgeon.

2010· article· en· W2415706228 on OpenAlexaff
Ali Shahnavaz, Chady Sader, Eric L Henry, Trites, Taylor Sm, Hadi Seikaly, Hart Rd

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCephalic veinCadaveric spasmMedicineCadaverForearmAnatomyVeinSurgeryAnastomosisDissection (medical)Rejuvenation
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The radial forearm free flap (RFFF) is a workhorse in reconstruction of head and neck defects. The superficial cephalic vein is used most commonly for microvascular anastomosis; however, this vein has a variable course in the subcutaneous tissues. We have routinely isolated the cephalic vein within a reliable double fat plane, which has not been previously described. This study demonstrates the consistency of the cephalic vein within this double fat plane using a cadaveric model and our prospective operative experience raising the RFFF. METHOD: Four lightly preserved cadavers and one fresh cadaver were dissected by elevating a RFFF, identifying the double fat plane, and isolating the cephalic vein within this plane. Between August 2006 and April 2008, we prospectively recorded the anatomic location of the cephalic vein in 35 patients who had RFFF surgery. RESULTS: The double fat plane and cephalic vein were identified in all cadaveric dissections. The double fat plane was identified and led to injury-free dissection of the cephalic vein in all 35 patients. DISCUSSION: To our knowledge, this is the first report of the presence of the double fat plane within the subcutaneous tissue of the radial forearm and its use as a consistent landmark in finding the cephalic vein. Our cadaveric studies and operative observations have demonstrated that the double fat plane is a reliable, consistent, and helpful guide for the isolation of the cephalic vein in RFFF surgery.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.022
GPT teacher head0.234
Teacher spread0.212 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2010
Admission routes1
Has abstractyes

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