Is an Intraoperative Frozen Section Useful for Judging the Necessity of Lymphadenectomy in Patients With Endometrial Cancer
Bibliographic record
Abstract
Background: We evaluated whether an intraoperative frozen section is useful for judging the necessity of lymphadenectomy for treating endometrial cancer. Methods: We examined 106 patients with endometrial cancer in whom histological grade and uterine muscle layer invasion were evaluated using an intraoperative frozen section at our institution between 2012 and 2016. We compared the intraoperative frozen-section diagnosis with a preoperative evaluation regarding the accuracy of determining histological grade and uterine muscular invasion, which are considered risk factors for lymph-node metastasis. Results: The preoperative evaluation and intraoperative frozen section had 55% and 75% diagnostic accuracies, respectively (P = 0.002). The frozen-section diagnosis was superior to preoperative evaluation, particularly for detecting the presence of uterine muscular invasion. Conclusions: A frozen section is useful if the presence of muscular invasion is included in the criteria for determining whether lymphadenectomy should be performed. J Clin Gynecol Obstet. 2019;8(1):9-16 doi: https://doi.org/10.14740/jcgo537
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".