Mapping the colon through the colonoscope's coordinates - The Copenhagen Colonoscopy Coordinate Database

Area of Science:

• Gastroenterology
• Medical Imaging
• Artificial Intelligence

Background:

• Colonoscopy is a key endoscopic procedure, with growing interest in AI integration for optimization.
• Currently, a lack of colonoscope coordinate databases hinders detailed procedural mapping and AI development.
• Electromagnetic tracking within the colonoscope allows for real-time position mapping.

Purpose of the Study:

• To create a comprehensive database of colonoscope paths.
• To facilitate the development of AI-driven tools for colonoscopy.
• To enable detailed analysis of mucosal inspection during colonoscopy.

Main Methods:

• Collected data from 1400 clinical and 100 simulated colonoscopies.
• Utilized electromagnetic radiance from colonoscope coils for position tracking.
• Developed magnetic endoscopic imaging to map the colonoscope's path.

Main Results:

• Established a freely available database of colonoscope coordinates and timestamps.
• Demonstrated the potential for mapping mucosal inspection and generating inspection heatmaps.
• Highlighted the utility of such data for developing scores like colonoscopy retraction and progression.

Conclusions:

• The created database is a valuable resource for advancing AI in colonoscopy.
• This data can lead to more standardized and effective colonoscopic examinations.
• Future applications include optimizing inspection coverage and potentially improving patient outcomes.