Detection of colorectal lesions during colonoscopy

Abstract

Owing to its high mortality rate, the prevention of colorectal cancer is of particular importance. The resection of colorectal polyps is reported to drastically reduce colorectal cancer mortality, and examination by endoscopists who had a high adenoma detection rate was found to lower the risk of colorectal cancer, highlighting the importance of identifying lesions. Various devices, imaging techniques, and diagnostic tools aimed at reducing the rate of missed lesions have therefore been developed to improve detection. The distal attachments and devices for improving the endoscopic view angle are intended to help avoid missing blind spots such as folds and flexures in the colon, whereas the imaging techniques represented by image‐enhanced endoscopy contribute to improving lesion visibility. Recent advances in artificial intelligence‐supported detection systems are expected to supplement an endoscopist's eye through the instant diagnosis of the lesions displayed on the monitor. In this review, we provide an outline of each tool and assess its impact on the reduction in the incidence of missed colorectal polyps by summarizing previous clinical research and meta‐analyses. Although useful, the many devices, image‐enhanced endoscopy, and artificial intelligence tools exhibited various limitations. Integrating these tools can improve their shortcomings. Combining artificial intelligence‐based diagnoses with wide‐angle image‐enhanced endoscopy may be particularly useful. Thus, we hope that such tools will be available in the near future.

Negative effect of prolonged cecal intubation time on adenoma detection in female patients

“…To improve adenoma detection, multiple methods, devices, and artificial intelligence (AI)‐based diagnostic tools have been developed. 22 Various reports indicate that polyps are more likely to be missed in the right‐sided colon than the left‐sided colon during colonoscopy. 23 , 24 , 25 Retroflexion in the right‐sided colon allows observation from the oral side of the folds, which is known to improve adenoma detection when combined with the forward view.…”

“…To improve adenoma detection, multiple methods, devices, and artificial intelligence (AI)‐based diagnostic tools have been developed 22 . Various reports indicate that polyps are more likely to be missed in the right‐sided colon than the left‐sided colon during colonoscopy 23–25 .…”

Is High Expression of Claudin-7 in Advanced Colorectal Carcinoma Associated with a Poor Survival Rate? A Comparative Statistical and Artificial Intelligence Study

“…Related to CRC, AI algorithms were used to diagnose or foresee the evolution of the disease [ 14 , 15 ] or the outcome of a CRC treatment [ 16 , 17 ] at an early stage. More specifically, AI algorithms were used to diagnose CRC during colonoscopy [ 18 , 19 ], on biopsies [ 20 ] or using RNA molecular biology [ 21 ]. AI was also widely used in CRC surgery [ 22 , 23 ] or chemotherapy [ 24 ].…”