Two Useful Adjuncts to Thyroid Oncologic Surgery: The Ansa to Recurrent Nerve Anastomosis and Mediastinoscopy Approach to Metastatic Disease
Bibliographic record
Abstract
Background: Extrathyroidal spread with invasion of the recurrent laryngeal nerve and metastatic disease to the mediastinum are two manifestations of aggressive papillary thyroid cancer. These videos outline useful surgical adjuncts to the management of recurrent laryngeal nerve sacrifice from invasive disease and mediastinal lymphadenopathy without the need for sternotomy. Methods: The video was created using iPhone 6 and edited in iMovie in a patient undergoing total thyroidectomy, bilateral central neck dissection, and left lateral neck dissection for papillary thyroid cancer with a known preoperative left vocal cord immobility. The ansa cervicalis was identified and preserved, rotated deep to the sternohyoid muscle, and anastomosed to the cut end of the recurrent laryngeal nerve using 9-0 nylon sutures. A second patient with a remote history of total thyroidectomy and mediastinal disease was filmed using a mediastinoscope to extirpate adenopathy after lateral neck dissection and revision central neck dissection. Results: Effective anastomosis of the distal stump of the left recurrent laryngeal nerve to the ansa cervicalis was performed on the first patient, with resultant improved tone of the vocal cord and improved phonation. Extirpation of mediastinal lymphadenopathy was effectively executed using mediastinoscopy without need for sternotomy. Discussion and Conclusions: Use of the ansa cervicalis is a viable option in cases of recurrent laryngeal nerve sacrifice for known invasive disease. The ansa is readily available for anastomosis with both lateral neck dissection and through a central incision for thyroidectomy only. Use of mediastinoscopy can obviate the need for sternotomy for mediastinal metastasis. Source: The surgeries were performed in the University of Toronto operating suites. No competing financial interests exist. Runtime of video: 6 mins 4 secs
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".