A Case of Ascending Colon Cancer Complicated by Cronkhite-Canada Syndrome Treated with Robot-Assisted Right Hemicolectomy
Bibliographic record
Abstract
INTRODUCTION: Cronkhite-Canada syndrome (CCS) is a rare non-hereditary disorder in which multiple non-tumorous polyps occur throughout the digestive tract. Although surgical treatment is sometimes indicated due to the occurrence of gastric and colorectal cancer, in CCS, the polyposis makes it difficult to distinguish from cancer and requires careful follow-up. CCS is characterized by the presence of inflammatory findings, and steroids and immunosuppressants are used as key drugs. So, it is crucial to perform minimally invasive surgeries whenever possible, and in this regard, robotic-assisted surgery might prove to be one of the appropriate approaches. CASE PRESENTATION: The patient was a 72-year-old woman who had developed CCS 5 years previously and had been in remission with medication. During annual colonoscopy, multiple colorectal polyps were found in the ascending colon and resected endoscopically. One of the polyps was diagnosed as an adenocarcinoma with deep infiltration and vascular invasion. The patient was referred to our department for additional resection and a robotic-assisted right colectomy was performed. Pathological findings showed no residual tumor in the area after endoscopic mucosal resection (EMR), but laterally spreading tumor (LST) lesion showed adenocarcinoma in adenoma. The patient was discharged home on POD 7 without any postoperative complications. CONCLUSIONS: This report is the first case of robotic surgery for colorectal cancer complicated by CCS with a safe surgical outcome.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".