Computer-assisted Diagnosis System Based on Linked Colour Imaging

Study Overview
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Brief Summary
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Linked color imaging (LCI)，a new endoscopy modality, creates clear and bright images by using short wavelength narrow band laser light. LCI can make red area appear redder and white areas appear whiter. Thus, it may be possible to distinguish adenoma and non-adenoma polyps based on color evaluation of LCI images. This study aimed to assess the correlation between histology results and LCI images. Moreover, the investigators conducted a pilot study to explore the clinical potential of LCI to distinguish adenoma and non-adenoma polyps and the accuracy of an automatic computer-aided diagnosis system using LCI imagine to predict histology polyps when compared to human experts physicians.

Detailed Description
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This study consists of a retrospective analysis and a pilot study. In the retrospective study, the investigators tried to find out an correlation between LCI images and histology results for polyp lesions. And a computer-aided analysis of the images was conducted to demonstrate the correlation objectively. Thereafter,a pilot study was performed to explore whether the previous correlation could be easily learned to distinguish adenoma and non-adenoma polyps by comparing the results of experts diagnosis of LCI image and non-experts. Also, in the pilot study, the investigators assessed the accuracy of an automate histology diagnosis method for polyp LCI images using the computer-aided system when compared to human experts physicians. Throughout the entire research, histology results are regarded as gold standard.

Official Title
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Computer-aided Classification of Colorectal Polyp by Using Linked Colour Imaging

Conditions
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Colorectal Polyp, Linked Color Imaging, Computer-aided Diagnosis

Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: - at least one polyp found during colonoscopy examination. Exclusion Criteria: - poor quality of bowel preparation which impedes histology evaluation; previous resection of colon; inflammatory bowel disease; familiar adenomatous polyposis; Peutz-Jeghers syndrome or other polyposis syndrome.

Ages Eligible for Study
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Minimum Age: 16 Years
Maximum Age: 80 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| experts<br>In this group, two experts distinguish a set of polyps on LCI images as adenoma or non-adenoma. | |
| non-experts<br>In this group, two non-experts distinguish the set of polyps(the same to experts group) on LCI images as adenoma or non-adenoma. | |
| Computer-aided diagnosis system<br>In this group, a newly developed computer-aided diagnosis system will be used to distinguish a set of polyps as adenoma or non-adenoma. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| LCI accuracy | the accuracy between a novel developed computer-aided diagnosis system and human experts physicians o distinguish adenoma polyps and non-adenoma polyps based on LCI image. | June 1, 2018 | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| the short learning curve | the accuracy between experts and non-experts to distinguish adenoma polyps and non-adenoma polyps based on LCI image was compared to explore whether LCI method is of an shorter learning curve. | June 1, 2018 | 
| the correlation | the correlation between LCI image and histology results were retrospectively explored | June 1, 2018 |