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Adenoma detection rate in colonoscopy: how can it be improved?
Marco Spadaccini1,2, Alessandro Schilirò1, Paranjay Sharma3
1Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Improving adenoma detection rates during colonoscopy is crucial for reducing colorectal cancer. New technologies, especially artificial intelligence (AI), show promise in enhancing endoscopist performance and increasing the adenoma detection rate (ADR).
Area of Science:
- Gastroenterology and Endoscopy
- Cancer Prevention
- Medical Technology Innovation
Background:
- Widespread colonoscopy screening has reduced colorectal cancer (CRC) incidence.
- Missed adenomas during colonoscopies remain a concern, leading to post-colonoscopy CRC.
- Adenoma Detection Rate (ADR) is a key quality indicator inversely associated with interval CRC risk.
Purpose of the Study:
- To review emerging technologies aimed at improving endoscopist adenoma detection during colonoscopy.
- To evaluate the impact of these technologies on Adenoma Detection Rate (ADR).
Main Methods:
- Comprehensive literature review of new devices and technologies for adenoma detection.
- Analysis of studies focusing on technologies that enhance endoscopist performance.
Main Results:
- Several devices and technologies have been proposed to increase ADR.
- Artificial intelligence (AI) has emerged as a leading strategy, likely to become a new standard.
- The combination of different technologies requires further investigation to maximize detection performance.
Conclusions:
- AI integration in colonoscopy is a significant advancement for improving adenoma detection.
- Further research is needed to explore synergistic effects of combining various technologies to further enhance ADR.
- Optimizing adenoma detection is critical for reducing the incidence of interval colorectal cancer.
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