Grade 3 Radiation Recall Sigmoiditis after Treatment for Locally Advanced Cervical Cancer: A Case Report
Bibliographic record
Abstract
We report a case of Grade 3 radiation recall sigmoiditis after administration of a combination of carboplatin, paclitaxel, and bevacizumab, following irradiation for a locally advanced cervical cancer. A 50-year-old woman was diagnosed with an FIGO Stage IIIb squamous cell carcinoma of the cervix with bilateral pelvic and para-aortic lymph nodes. She underwent concurrent chemoradiation followed by high dose rate (HDR) intracavitary brachytherapy. She had a complete loco-regional response. A supraclavicular recurrence was diagnosed three months after completing treatment and two cycles of carboplatin, docetaxel, and bevacizumab were given in April 2014. Shortly after the second cycle, she was admitted to the hospital for significant abdominal pain, diarrhea followed by symptoms of bowel subocclusion. The CT scan and endoscopic images revealed thickening of the sigmoid wall with important edema and telangiectasia. The biopsy was consistent with acute radiation-induced colitis. Because of persistent digestive symptoms, a diverting ileostomy was done few months later. The location, timing, pathology, and its association with a high-dose region are analyzed in this case report.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".