Do Deeper Sections Increase the Frequency of Detection of Serous Tubal Intraepithelial Carcinoma (STIC) in the “Sectioning and Extensively Examining the FIMbriated End” (SEE-FIM) Protocol?
Bibliographic record
Abstract
Studies have suggested serous tubal intraepithelial carcinoma (STIC) of the fallopian tube to be a putative precursor to ovarian and peritoneal serous carcinoma. It has been recommended that resected fallopian tube specimens should be rigorously examined for STIC, especially in women at high risk of serous carcinoma, such as those with BRCA mutations or with a strong family history. The SEE-FIM protocol allows for the greatest surface area of the tube to be histologically assessed. There have been suggestions that multiple deeper sections should be examined if the initial hematoxylin and eosin (H&E) sections are negative; however, whether this identifies more cases of STIC has not rigorously examined. We examined deeper sections from 56 cases of pelvic carcinoma in which the initial H&E sections of the fallopian tubes were negative for STIC. All initial and deeper sections underwent consensus review by panel of experts in gynecologic pathology. These cases are part of a larger study in which we had examined 300 consecutive bilateral salpingectomies using the SEE-FIM protocol and a single-H&E section per block and had identified 68 cases of pelvic serous carcinoma, of which 12 were associated with STIC. We calculated the sensitivity of a single-H&E section to detect STIC, as compared with examination of multiple deeper sections, and reevaluated the clinicopathologic data of the parent study in light of the additional cases of STIC. In the 56 cases initially negative for STIC, 4 cases of STIC were identified after examination of multiple deeper sections of the fallopian tubes. The single-H&E section SEE-FIM approach therefore detected only 75% (95% confidence interval, 51%-90%) of STIC that was present. Three of these new cases were associated with primary ovarian serous carcinoma and 1 with primary peritoneal serous carcinoma. All 3 new cases associated with ovarian carcinoma were noted in women without neoadjuvant chemotherapy. In considering the data from the parent study, we calculated a statistically significant lower incidence of STIC in women with ovarian serous carcinoma who received neoadjuvant chemotherapy as compared with those who did not (P=0.042). Our study demonstrated that additional cases of STIC can be detected if deeper sections are examined. These additional cases also highlighted a statistically significant difference in the incidence of STIC associated with ovarian serous carcinoma who received neoadjuvant chemotherapy relative to those who did not. Consideration to this should be given in future studies of the prevalence of STIC and to routine examination of salpingectomy specimens from women at high risk for pelvic serous carcinoma.
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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 | 0.001 |
| 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 | 0.000 |
| 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".