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When a polyp is found, it woulf be recorded by a white-light and OE1 model with magnification for assessing and predicting its histology. After that, its really histology will be reported by an pathologist.
When a polyp is found, OE mode 1 with magnification was first used with near focus the polyp and an endoscopist made a real-time prediction of polyp pathology. After that, high-definition mode and OE mode 1 without magnification were used to observe polyp sequencely. The video of all procedure was recorded.
After bowel cleansing with 2L polyethylene glycol, patients received colonoscopy under propofol intravenous anesthesia. When a polyp was found, we began to wash it and record the video. OE mode 1 with magnification was first used with near focus the polyp and an endoscopist made a real-time prediction of polyp pathology. After that, high-definition mode and OE mode 1 without magnification were used to observe polyp sequencely. Biopsy of the polyps were taken after observation, and the size of polyps was estimated by the biopsy forceps. The information of patient age, gender polyp morphology and location were recorded. After a video transcoding and clipping, the pathology type of each video clip was predicted by an endoscopist. The sensitivity, specificity, positive predicting value (PPV), negative predicting value (NPV) and accuracy were calculated. The pathology types of polyps were classified by non-neoplastic polyps and neoplastic polyps according to Vienna Classification. Statistics were performed by NCSS 11 and R software (Version 3.3.2).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| HDWL and OE with magnification | The polyps found will be observed by HDWL and OE with magnicication model and recorded. |
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| Measure | Description | Time Frame |
|---|---|---|
| To evaluated the accuracy of i-scan OE system with magnification endoscopy on real-time predicting the pathology types of colorectal polyps. | To evaluated the accuracy of i-scan OE system with magnification endoscopy on real-time predicting the pathology types of colorectal polyps. | 18 months |
| Measure | Description | Time Frame |
|---|---|---|
| To evaluate whether the diagnostic value of OE with magnification can meet the thresholds of "resect-and-discard" and "diagnose-and-leave" strategies outlined by Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) document. | To evaluate whether the diagnostic value of OE with magnification can meet the thresholds of "resect-and-discard" and "diagnose-and-leave" strategies outlined by Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) document. |
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Inclusion Criteria:
Exclusion Criteria:
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Patients who experence an examation of coloscopy found polyps.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yanqing Li, MD,PhD | Contact | 86-531-82169236 | liyanqing@sdu.edu.cn |
| Name | Affiliation | Role |
|---|---|---|
| Yanqing Li, MD,PhD | Qilu Hospital of Shandong University | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Gastroenterology, Qilu Hospital, Shandong University | Recruiting | Jinan | Shandong | 250012 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23871094 | Result | Basford PJ, Longcroft-Wheaton G, Higgins B, Bhandari P. High-definition endoscopy with i-Scan for evaluation of small colon polyps: the HiSCOPE study. Gastrointest Endosc. 2014 Jan;79(1):111-8. doi: 10.1016/j.gie.2013.06.013. Epub 2013 Jul 17. | |
| 24373000 | Result | Neumann H, Fujishiro M, Wilcox CM, Monkemuller K. Present and future perspectives of virtual chromoendoscopy with i-scan and optical enhancement technology. Dig Endosc. 2014 Jan;26 Suppl 1:43-51. doi: 10.1111/den.12190. Epub 2013 Oct 23. |
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| 18 months |
| To assess the diagnostic value and inter-observer agreement of OE on post-hoc differentiating pathology of colorectal polyps. | To assess the diagnostic value and inter-observer agreement of OE on post-hoc differentiating pathology of colorectal polyps. | 18 months |
| To assess the value of magnification optical enhancement on classification of colorectal polyps using a deep learning model | To assess the value of magnification optical enhancement on classification of colorectal polyps using a deep learning model | 18 months |