Narrow‐band imaging with magnification for the diagnosis of colorectal adenoma in a patient with Cronkhite‐Canada syndrome
Bibliographic record
Abstract
Cronkhite-Canada syndrome (CCS) is a rare disease characterized by gastrointestinal polyposis, skin pigmentation, alopecia, and abnormal nailfolds. Although colorectal cancer has been reported in patients with CCS, reports are limited regarding the effectiveness of the usage of image-enhanced endoscopy in CCS lesions. Here, we report a case of CCS in which narrow-band imaging (NBI) magnifying endoscopy was applied to detect an adenomatous component in multiple hamartomatous polyps. A 79-year-old female complained of taste disorder, anorexia, and weight loss over several months. Endoscopic examination revealed multiple reddened polyps in the stomach and colon, leading to a diagnosis of CCS. Narrow-band imaging magnification showed sparse and dilated round pits on the CCS polyps. Furthermore, 12 out of the numerous colorectal CCS polyps had a coexisting light reddish elevated component with a regular distribution of microvessels and a regular reticular pattern. This pattern satisfied the criteria for Type 2A of the Japan Narrow-band-imaging Expert Team classification, indicating adenoma. After resection, these twelve polyps were subject to pathological analysis, which confirmed they were all hamartomatous polyps with low-grade adenoma on the superficial layer. Immunohistochemical analysis revealed a significant increase in the Ki-67 index and p53 staining only in the adenomatous lesions. We conclude that narrow-band imaging magnifying endoscopy would be useful in differentiating adenoma from CCS-related polyps, which thereby facilitates early detection and treatment of precancerous lesions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".