Clinical utility of colour flow Doppler ultrasonography in planning anterolateral thigh flap harvest.
Bibliographic record
Abstract
BACKGROUND: The anatomic variability of cutaneous perforators contributes to the technical challenges of anterolateral thigh (ALT) free flap harvest. The objective of this study was to assess the accuracy and clinical utility of preoperative colour flow Doppler (CFD) ultrasonography in evaluating planned ALT flap donor sites. METHODS: A prospective study of the infrainguinal vasculature (profunda femoris and lateral circumflex femoral arteries) in 16 consecutive patients scheduled for ALT free flap transfer for reconstruction of head and neck surgical defects was undertaken. All patients underwent CFD ultrasonography. The location of perforators and the thigh thickness determined by CFD ultrasonography were correlated with the actual intraoperative findings using a scatter plot and paired t-test. RESULTS: Two patients were diagnosed with bilateral silent infrainguinal claudication, which precluded safe use of the ALT donor site. In two other patients, the planned ALT donor site ipsilateral to the defect was not used because of silent infrainguinal claudication diagnosed by CFD ultrasonography. In the 14 patients who underwent ALT flap harvest, CFD ultrasonography identified 48 perforators, which coincided with 43 actual perforators found intraoperatively. CFD ultrasonography demonstrated a statistically significant correlation with the actual perforator locations (Spearman coefficient .76; p = .55). Although CFD ultrasonography tended to underestimate flap thickness, there was a statistically significant correlation (Spearman coefficient .94; p ≤ .0001) with the actual flap thickness. CONCLUSION: CFD ultrasonography has clinical utility in facilitating decision making and planning ALT flap harvest.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".