Effect of narrow-banding imaging on detection rate of ascending colon polyps in patients with different intestinal cleanliness
Bibliographic record
Abstract
Objective To evaluate the influence of narrow-banding imaging on the detection rate of polyps in the ascending colon in patients with different intestinal cleanliness. Methods A retrospective study was performed on 1029 patients who underwent colonoscopy at the Endoscopy Center of the No. 1 People′s Hospital of Suqian from January 2016 to January 2017. These cases were divided into two groups by intestinal cleanliness score: A and B. Group A had an Ottawa intestinal cleanliness score of 0 or 1 (n = 549), and group B had an intestinal cleanliness score of 2 (n = 480). In group A, 260 patients underwent NBI to detect ascending colon polyps (subgroup A1), and 289 underwent conventional imaging (subgroup A2). Similarly, 231 patients in group B received NBI (subgroup B1), and 249 patients underwent conventional imaging (subgroup B2). The detection rate of ascending colon polyps and examination time were compared between subgroups A1 and A2 and subgroups B1 and B2. Results The detection rate of ascending colon polyps and examination time were 6.92% (18/260) and (127.93±12.21) seconds in subgroup A1, 3.11% (9 /289) and (126.17±11.32) seconds in subgroup A2, 5.19% (12/231) and (125.45±15.16) seconds in subgroup B1, and 4.42% (11/249) and (128.88±8.26) seconds in group B2, respectively. The detection rate of ascending colon polyps was significantly higher in subgroup A1 than in subgroup A2 (P 0. 05). Conclusion Narrow-banding imaging can significantly increase the detection rate of ascending colon polyps in the case of intestinal cleanliness score of 0 or 1, but not in patients with an intestinal cleanliness score of 2. Key words: Narrow-banding imaging; Ascending colon; Polyp detection rate
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".