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Record W1986912453 · doi:10.1097/prs.0b013e3181774292

Vascular Basis of Intrinsic Muscle Flaps in the Hand

2008· article· en· W1986912453 on OpenAlexafffund
Maolin Tang, Binu Prathap Thomas, Christopher R. Geddes, Daping Yang, Steven F. Morris

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2008
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsDalhousie University
FundersDalhousie University
KeywordsAnatomyCadaverDissection (medical)MedicineHand muscles

Abstract

fetched live from OpenAlex

BACKGROUND: Intrinsic hand muscles can occasionally be used as pedicled flaps for wound coverage or functioning transfer in hand trauma. The purpose of this study was to define the vascular supply of the individual intrinsic muscles of the hand for potential use of these muscles as muscle flaps. METHODS: In part A, 10 fresh cadavers were injected using a lead oxide-gelatin injection technique. The intrinsic muscles were meticulously dissected, removed, and radiographed. The number, type, and diameter of the vascular pedicles of each muscle and their distribution within the muscle were analyzed. The area of the vascular territory supplied by each source vessel was calculated. In part B, 10 embalmed cadavers were injected with red latex and a similar dissection protocol was followed. RESULTS: The 18 hand muscles each received an average of 3 +/- 1 vascular pedicles. The average diameter was 0.8 +/- 0.2 mm; the length and width of the area supplied by each pedicle was 2.2 +/- 0.4 cm and 1.0 +/- 0.2 cm, respectively. The vascular territories of the majority of hand muscles were aligned longitudinally along their long axes. Nine intrinsic hand muscles have been identified that can potentially be used as a muscle flap or musculocutaneous or musculo-osseous flap. CONCLUSIONS: The size and course of the vascular pedicles to the hand muscles are variable. This anatomical study provides an improved understanding of the vascular supply of the intrinsic muscles of the hand and provides further information to assist in the design of intrinsic hand muscle transfer.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
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 head0.021
GPT teacher head0.228
Teacher spread0.206 · 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 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

Citations4
Published2008
Admission routes2
Has abstractyes

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