NCT05576506

Application of Hyperspectral Imaging Analysis Technology in the Diagnosis of Colorectal Cancer Based on Colonoscopic Biopsy

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 86 (actual)
• Sponsor: Shandong University · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

The purpose of this study is to develop and validate a deep learning algorithm for the diagnosis of colorectal cancer other colorectal disease by marking and analyzing the characteristics of hyperspectral images based on the pathological results of colonoscopic biopsy, so as to improve the objectiveness and intelligence of early colorectal cancer diagnosis.

Detailed description

Prospectively collect the hyperspectral image information of ordinary colonoscopic biopsy tissue. The colonoscopic biopsy tissue is from the Endoscopy Center of Qilu Hospital of Shandong University. The hyperspectral images are marked based on the biopsy pathological results, and the deep convolutional neural network (DCNN) model is used. With training and verification, develop the Hyperspectral Imaging Artificial Intelligence Diagnostic System (HSIAIDS) .A portion of colonoscopic biopsy tissue will be collected as a prospective test set to prospectively test the diagnostic performance of the HSIAIDS algorithm.

Conditions

• Colorectal Neoplasms
• Colorectal Polyp
• Colorectal Adenoma
• Colorectal SSA

Timeline

• Start date: 2022-10-08
• Primary completion: 2022-12-31
• Completion: 2022-12-31
• First posted: 2022-10-12
• Last updated: 2024-07-31

Locations

1 site across 1 country: China