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第1跖背动脉终末支皮瓣修复手指皮肤软组织缺损的效果

2024· article· en· W6928715185 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed Central · 2024
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsBrachial arteryArticular cartilage damagePosterior tibial arteryMediastinitis

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the effects of the first dorsal metatarsal artery terminal branch flaps in repairing skin and soft tissue defects of fingers. METHODS: The study was a retrospective observational study. From October 2021 to December 2022, 44 patients with skin and soft tissue defects in 55 fingers who met the inclusion criteria were admitted to Suzhou Ruihua Orthopedic Hospital. There were 39 males (48 fingers) and 5 females (7 fingers), aged 18 to 54 years. The single wound area after debridement ranged from 1.5 cm×1.0 cm to 3.0 cm×2.0 cm. The color Doppler ultrasonography was performed before operation to locate the first dorsal metatarsal artery and its terminal branches, and a first dorsal metatarsal artery terminal branch flap was designed according to the wound condition, with the area of harvested single flap ranged from 1.7 cm×1.2 cm to 3.2 cm×2.2 cm. The wounds in the flap donor areas were transplanted with full-thickness skin grafts from ipsilateral inner calf. The type of flap was recorded, and the diameter of the terminal branch of the first dorsal metatarsal artery was measured during operation. The survival of the flap was observed one week after operation. The wound healing in the flap donor and recipient areas was observed two weeks after operation. At the last follow-up, the functional recovery of the affected fingers was evaluated by the trial standards for evaluation of partial function of upper extremity by the Hand Surgery Society of Chinese Medical Association, the sensory function of the flap was evaluated using the sensory function evaluation standard of British Medical Research Council, the scar in the donor and recipient areas of the flap was evaluated using the Vancouver scar scale (VSS), and the Allen test was conducted in the toe of flap donor area to evaluate the blood flow. RESULTS: The monoblock type flaps in 31 patients and flow-through type flaps in 2 patients were used to repair wounds in single finger, 2 monoblock type flaps in 8 patients were used to repair wounds in 2 fingers at the same time, and the single-pedicle and two-flap type flaps in 3 patients were used to repair wounds in 2 fingers at the same time. The diameter of the fibular terminal branch of the first dorsal metatarsal artery ranged from 0.40 to 1.10 mm, and the diameter of the tibial terminal branch of the first dorsal metatarsal artery ranged from 0.70 to 0.75 mm. All the flaps survived at one week after operation, and all the wounds demonstrated optimal healing in the flap donor and recipient areas at two weeks after operation. All patients were followed up for 6 to 18 months. At the last follow-up, the functional recovery of 48 fingers was evaluated as excellent, and the functional recovery of 7 fingers was evaluated as good; the sensory function of 8 flaps was rated as S2, and the sensory function of 47 flaps was rated as S3, and the two-point discrimination distance of the flaps was 8-14 mm; the VSS scores in the flap recipient areas ranged from 3 to 6, and the VSS scores in the flap donor areas ranged from 4 to 7; the Allen test result of the toes in the donor areas were all negative with normal blood flow. CONCLUSIONS: The first dorsal metatarsal artery terminal branch flaps have several advantages, including relatively hidden donor area, shallow anatomical level, simple intraoperative operation, and flexible flap design. The flap is incised without damaging the main artery of the toe, which can repair skin and soft tissue defects of the fingers and ensure the utmost protection of the toes in donor areas. The fingers exhibit improved appearance, texture, sensation, and function after operation.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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 designOther design
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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