Colorectal cancer remains one of the most common and preventable causes of cancer death worldwide.However, the use of cathartic bowel preparation continues to limit participation in colorectal screening programs.To address this longstanding barrier, we have developed an AIdriven laxative-free CT colonography system, AIM4CRC, which applies deep learning-based image reconstruction and detection techniques to enable visualization of the colon without bowel cleansing.This approach aims to provide diagnostic performance comparable to conventional CT colonography while significantly improving patient comfort and accessibility.Early clinical evaluation suggests that the system can assist radiologists in efficiently interpreting nonprepped CT images and identifying potential lesions in a standardized manner.The development of a laxative-free, AI-supported imaging workflow represents a potential shift in the paradigm of colorectal cancer screening by reducing psychological and physical burdens associated with traditional preparation.Broader implementation of such technologies may enhance screening adherence and contribute to earlier detection in the general population.This presentation includes information on an investigational medical device that has not yet received regulatory approval.
Masaki OKAMOTO (Thu,) studied this question.