Fertility-sparing surgery for the management of young women with embryonal rhabdomyosarcoma of the cervix: A case series
Bibliographic record
Abstract
OBJECTIVE: To report three cases of embryonal rhabdomyosarcoma (ERMS) of the cervix in young women successfully treated with fertility-sparing surgery and chemotherapy. METHODS: Between January 2014 and December 2015, three cases of ERMS of the cervix were confirmed in young women at a single tertiary cancer center. All cases were managed by a pediatric oncologist and a gynecologic oncologist with a combination of surgery and chemotherapy. Fertility-sparing surgeries (cervical conization or robotic-assisted radical trachelectomy) were offered to patients depending on the tumor size. RESULTS: All patients were nulliparous and aged 14, 20 and 21 years and all presented with abnormal uterine bleeding. The first patient was managed with radical trachelectomy followed by adjuvant chemotherapy. The second patient underwent primary hysteroscopic resection of the tumor followed by completion cervical conization and adjuvant chemotherapy. The third patient received neoadjuvant chemotherapy followed by loop electrosurgical excision procedure (LEEP) with positive residual margins. She then underwent completion radical trachelectomy. None of the patients experienced perioperative complications. None of the women received radiation. All patients are alive with no evidence of disease. CONCLUSION: Fertility-sparing surgery and chemotherapy in well-selected patients with ERMS of the cervix result in low complication rates and excellent oncologic outcomes. This treatment option may be considered in young patients who wish to preserve fertility by avoiding hysterectomy. A collaborative effort between pediatric oncologists and gynecologic oncologists is imperative to facilitate innovative approaches to these rare tumors in young adults.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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 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".