New research finds computer-assisted colonoscopy identifies more precancerous polyps than traditional colonoscopy

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VSolonoscopies performed with computer-aided detection, or artificial intelligence (AI), have seen an increase in the overall rate of detection of adenoma, or cancerous and precancerous polyps, of 27% in patients at average risk, according to new data presented today at the Digestive Diseases Week Annual Meeting. The results of the prospective, randomized, multicenter study, led by clinician-scientist Aasma Shaukat, MD, MPH, at NYU Grossman School of Medicine, and published online May 24 in the journal Gastroenterology, found that when AI was used during screening colonoscopy, the rate of adenoma per colonoscopy increased significantly by 22%, from 0.82 to 1.05%. This research further suggests that AI can be an effective tool for gastroenterologists and endoscopists to incorporate into their procedures to reduce the number of polyps missed and left behind in the colon, many of which may be precancerous.

“Our results add to the growing body of literature that shows that the use of computer-assisted technology during an endoscopy procedure can improve the quality of examinations performed and improve outcomes for our patients,” says Dr Shaukat. , Robert M. and Mary H. Glickman. Professor of Medicine and Gastroenterology and Director of Outcomes Research for the Division of Gastroenterology and Hepatology. “Several software technologies are currently available to clinicians, and integrating the use of these resources will only improve the care we provide to our patients and improve the quality of examinations that we, as physicians, are given. able to perform.”

Colonoscopy is considered the most effective test for colorectal cancer screening and prevention, as the procedure reduces incidence and mortality through early detection. During a colonoscopy, a doctor inserts and threads a narrow, flexible tube called a colonoscope through the rectum and through the entire colon, or large intestine. The colonoscope has a small camera on its end that allows the doctor to view and examine the lining of the colon and rectum when removing the endoscope. If the doctor identifies an abnormal growth or polyp during the procedure, they will remove it and send it to pathology for a definitive diagnosis. Although the procedure is effective, results vary depending on the skill of the doctor performing the examination, and an estimated 30% of polyps are missed during a traditional procedure. In an effort to improve quality and efficiency, researchers are working with AI platforms to act as a second look for the endoscopist. A computer-aided detection device has been developed for the identification of colorectal polyps during high definition white light colonoscopy procedures. The device analyzes the video stream from the colonoscope in real time and identifies potential polyps and areas of concern on the monitor. The endoscopist can see these areas in real time, improving the results of the procedure.

Study details

For the study, 22 trained and board-certified gastroenterologists performed colonoscopies for 1,440 patients from January 2021 to September 2021. Patients were randomized to receive either standard colonoscopy or colonoscopy using software computer-aided detection. All patients included in the study were over the age of 40 and had a screening or surveillance colonoscopy, but had not had a prior colonoscopy in the past 3 years. Of the total number of patients, 677 were randomized to the standard arm and 682 to the computer-assisted arm. The number of polyps found using a computer-assisted colonoscope was 1.05 versus 0.82. There was no decrease in the true histology rate, indicating that the polyps of concern were all removed. “Colorectal cancer is the second leading cause of cancer-related death in the United States, and it’s one of the few cancers that can be prevented if detected early,” says Dr. Shaukat. “Our mission remains to improve and improve the quality and efficiency of colonoscopy at all levels to provide the best patient care.”

Researchers agree that long-term follow-up studies are needed to better assess the benefits of computer-assisted devices on clinical outcomes.

In addition to Dr. Shaukat, other researchers involved in the study are David R. Lichtenstein, MD; Samuel C. Somers, MD, MMSc; Daniel C. Chung, MD; David G. Perdue, MD, MSPH; Murali Gopal, MD; Daniel R. Colucci, BS; Sloane A. Phillips, MBA; Nicholas A. Marka, MS; Timothy R. Church, Ph.D.; and William R. Brugge, MD, for the SKOUTTM Registration Study Team. The study was funded by Iterative Scopes, Inc.

Dr. Shaukat presents the study, “Increased Adenoma Detection with the Use of a Novel Computer-Assisted Detection Device, Skout: Results from a Multicenter Randomized Clinical Trial in the United States,” Tuesday, 24 May 2022, 8:15-8:30 a.m. during the Last Minute Clinical Science Abstract Plenary Session of the Digestive Diseases Week conference.

Media inquiries

Rob Magyar
Phone: 212-404-3591
[email protected]

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