Primary Fallopian Tube Carcinoma Preoperatively Diagnosed as Cervical Cancer
Bibliographic record
Abstract
Primary fallopian tube carcinoma (PFTC) is an uncommon gynecologic malignancy that is often diagnosed in the advanced stage. We present herein a case of a 59-year-old female with PFTC diagnosed with an approximately 20-mm cervical tumor on visual inspection. Cervical biopsy showed carcinoma and systemic computed tomography demonstrated no evidence of metastasis. The patient was accordingly diagnosed with cervical adenocarcinoma stage IB1 (FIGO 2008). Abdominal radical hysterectomy including bilateral salpingo-oophorectomy and pelvic lymphadenectomy was performed. However, it was difficult to operate because of dense pelvic organ adhesions and pouch of Douglas obliteration accompanied with deep infiltrating endometriosis. There was no peritoneal dissemination. On histopathological examination, high-grade serous carcinomas arising from the left fallopian tube and metastasized to the endometrium, cervix, vagina and multiple pelvic lymph nodes and forming a tumor in the cervix were noted. The patient was diagnosed with PFTC stage IIIA1 (ii) (FIGO 2014), pT2aN1bM0 (eighth UICC). She received six cycles of docetaxel and carboplatin every 3 weeks and presented no evidence of disease for 6 months after the chemotherapy. In conclusion, this is a rare case in which PFTC was preoperatively diagnosed as cervical cancer. J Clin Gynecol Obstet. 2020;9(1-2):21-24 doi: https://doi.org/10.14740/jcgo630
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".