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| Name | Class |
|---|---|
| Nanfang Hospital, Southern Medical University | OTHER |
| University College, London | OTHER |
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The investigators hypothesize that a newly developed CADx system will have a higher diagnostic accuracy in predicting histopathology of colorectal neoplasia than both expert and junior endoscopists.
Accurate diagnosis and characterization of colorectal polyps is essential before endoscopic resection. Optical diagnosis by enhanced imaging modality (e.g. Narrow Band Imaging, NBI) allows real-time prediction of histopathology. It can assist endoscopists to select the appropriate technique and differentiate between neoplastic or non-neoplastic polyps. Nevertheless, due to the substantial inter-observer variability, the widespread use was limited.
Recently, artificial intelligence and computer-aided polyp diagnosis (CADx) systems have evolved rapidly. The major limitation was the heterogeneity from different types of imaging modalities. Endocytoscopic images require extra steps for pre-staining and magnification, which are time consuming and operator dependent. As a result, it limits the generalisability and applicability in real-world settings.
A novel CADx system will be developed for real-time histopathological prediction of colorectal neoplasia, by using non-magnified conventional white-light and image enhanced endoscopy (NBI). The diagnostic accuracy of this CADx system will be compared with both expert and junior endoscopists.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| CADx | Histopathology prediction by CADx device |
| |
| Endoscopist | Real-time histopathology prediction by expert and non-expert endoscopists |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| CADx | Device | A novel CADx system for real-time histopathological prediction of colorectal neoplasia, by using non-magnified conventional white-light and image enhanced endoscopy. |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy | area under receiver operating characteristic curves, AUROC in prediction of final histopathology | During the colonoscopy |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity | Sensitivity | During the colonoscopy |
| Specificity | Specificity | During the colonoscopy |
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Inclusion Criteria:
Exclusion Criteria:
Poor quality endoscopic images and videos defined as:
Active gastrointestinal bleeding;
Fulminant colitis;
Obscured view due to poor bowel preparation;
Artificial staining of lesion due to chromoendoscopy.
Unable to obtain informed consent
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Patient with colorectal neoplasia
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Felix Sia | Contact | 26370428 | felixsia@cuhk.edu.hk | |
| Thomas Lam | Contact | 26370428 | thomaslam@cuhk.edu.hk |
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| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
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| Positive predictive value | Positive predictive value | During the colonoscopy |
| Negative predictive value | Negative predictive value | During the colonoscopy |
| Diagnostic time | Diagnostic time | During the colonoscopy |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |