Endoscopic management of inverted papillomas: long-term results, the St. Pauls Sinus Centre experience
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To demonstrate that computer-assisted endoscopic management of inverted papillomas yields excellent long-term results in terms of preventing recurrence and minimizing significant morbidity and mortality. METHODS: A retrospective chart review of patients who are being followed up for tumour recurrence or have undergone tumour removal between 2000 and 2008. All cases were undertaken using the GE Instatrak 3500+ navigation system. RESULTS: Inverted papillomas are the most common tumour managed endoscopically (57% of all sinonasal tumours) with 76 patients seen over the last 8 years. Approximately 50% of these cases had undergone previous surgery in another centre where the tumour was either not recognized or the resection was incomplete. Twentynine percent of these patients had a recurrence but only three required a revision procedure using an open approach; otherwise recurrences were successfully managed endoscopically. Endoscopic recurrence during the first half was 32% (versus 14% for open procedures), dropping to a recurrence rate of 11% in the latter period. CONCLUSIONS: Endoscopic management of inverted papillomas allows good control of the disease and avoids unnecessary morbidity associated with open procedures. Although there is a higher initial recurrence rate, these recurrences can be successfully managed endoscopically, and computer navigation can be a useful adjunct in achieving this.
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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) | 0.000 | 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) | 0.001 | 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 it