Cost analysis of intraoperative frozen section examinations in thyroid surgery in a Canadian tertiary center.
Bibliographic record
Abstract
OBJECTIVE: To perform a cost analysis of the routine intraoperative frozen section (FS) examinations in the management of patients undergoing thyroid surgery for unilateral thyroid nodules with benign or indeterminate cytology on preoperative fine-needle aspiration biopsies (FNABs). METHOD: A retrospective chart review of 190 consecutive patients with unilateral thyroid nodules undergoing thyroid surgery was undertaken between March 2006 and March 2008. The results of FNAB, FS, and final histology were obtained from the pathology report. A cost analysis was performed to compare the cost of routine FS examinations to determine malignancy with the cost of performing a second surgical procedure. RESULTS: Of the 169 patients evaluated, there were 53 cases of malignant nodules. Malignancy was diagnosed by FS in 16 of these 53 cases, resulting in a total thyroidectomy and thereby avoiding the need for a completion thyroidectomy. The sensitivity and specificity of FS examination were 30.2% and 100.0%, respectively. The routine use of intraoperative FS examination in cases of benign or indeterminate nodules afforded a total cost savings of $3719.27, or a cost savings of $22.01 per patient. CONCLUSION: FS examination was useful in guiding our intraoperative management for patients with unilateral thyroid nodules with benign or indeterminate preoperative FNAB. The routine use of FS was cost-effective in our Canadian health care system, even without considering the intangible costs, such as patients' anxiety, emotional stress, and the loss of productivity owing to a second surgical procedure.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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".