Ultrasound-guided wire localisation: a GPS for hidden head and neck tumours? A case series
Bibliographic record
Abstract
Objectives: Ultrasound-guided wire (USGW) localisation for small non-palpable tumours before a revision head and neck surgery is an attractive pre-operative option to facilitate tumour identification and decrease potential complications. We describe five cases of pre-operative USGW localisation of non-palpable head and neck lesions to facilitate surgical localisation and resection. Methods: All patients undergoing pre-operative USGW localisation for non-palpable tumours of the head and neck region at London Health and Sciences Center, London, Ontario, Canada, were included. All the USGW localisations were performed by the same interventional radiologist, and the surgeries were performed by fellowship trained head and neck surgeons. Results: Five patients were included. All patients were undergoing revision surgery for recurrent or persistent disease. All successfully underwent a pre-operative USGW localisation of the non-palpable lesion before revision surgery. All lesions were localised intra-operatively with no peri-operative complications. Conclusions: USGW localisation is a safe and effective pre-operative technique for the identification of small non-palpable head and neck tumours.
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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 | 0.000 | 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 | 0.000 |
| 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".