Endoscopic features help to identify the histopathological patterns of colorectal polyps in <scp>Cronkhite–Canada</scp> syndrome
Bibliographic record
Abstract
Objectives Cronkhite–Canada syndrome (CCS) is a rare nonhereditary gastrointestinal hamartomatous polyposis syndrome with a high risk of colorectal cancerogenesis. It is challenging to discriminate adenomas from nonneoplastic colorectal polyps macroscopically. This study aimed to explore the endoscopic features of different histopathological patterns of colorectal polyps in CCS. Methods Sixty‐seven lesions from 23 CCS patients were prospectively biopsied or resected during the colonoscopic examination for histopathological analysis. The Fisher's exact test and multivariate logistical analysis were conducted to reveal the predictive endoscopic features of CCS polyps with low‐grade dysplasia (LGD) and adenomas. Results There were seven (10.4%) adenomas, 20 (29.9%) CCS‐LGD, and 40 (59.7%) nonneoplastic CCS polyps. Polyps were large (>20 mm) in none of the adenomas, 30.0% of CCS‐LGD polyps, and 2.5% of nonneoplastic CCS polyps ( P < 0.001). The color of the polyps was whitish for 71.4% of adenomas, 10.0% of CCS‐LGD polyps, and 15.0% of nonneoplastic CCS polyps ( P = 0.004). Pedunculated polyps were detected in 42.9% of adenomas, 45.0% of CCS‐LGD polyps, and 5.0% of nonneoplastic CCS polyps ( P < 0.001). The proportions of types IV and V I in the Kudo classification were 42.9%, 95.0%, and 35.0% in adenomatous, CCS‐LGD, and nonneoplastic CCS polyps, respectively ( P = 0.002). The endoscopic activity was in remission for 71.4% of adenomas, 5.0% of CCS‐LGD polyps, and 10.0% of nonneoplastic CCS polyps ( P < 0.001). Conclusion Endoscopic features, including the size, color, sessility, Kudo's pit pattern classification of polyps, and endoscopic activity, help identify the histopathological patterns of colorectal polyps in CCS.
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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 | 0.003 |
| 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) | 0.000 | 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".