New research finds computer-assisted colonoscopy identifies more precancerous polyps than traditional colonoscopy
NEW YORK, May 24, 2022 /PRNewswire/ — Colonoscopies performed with computer-aided detection, or artificial intelligence (AI), have seen an overall increase in the detection rate of adenoma, or cancerous and precancerous polyps, of 27% in average-risk patients , according to new data presented today at the annual meeting of Digestive Disease Week.
The results of the prospective, randomized and multicenter study, led by a clinician-researcher Aasma ShaukatMD, MPH, at NYU Grossman School of Medicine, and published online in the journal Gastroenterology, found that when AI was used during screening colonoscopy, the colonoscopy adenoma rate 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 undergoing. 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 the pathology department for a definitive diagnosis.
Although the procedure is effective, results vary depending on the skill of the doctor performing the examination and it is estimated that 30% of polyps are missed during a traditional procedure. In an effort to improve quality and efficiency, researchers are working with artificial intelligence platforms to act as a second look for the endoscopist. Computer-assisted detection 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 to identify potential polyps and identify areas of concern on the monitor that the endoscopist can view in real time, improving procedure outcomes.
For the study, 22 trained and board-certified gastroenterologists performed colonoscopies on 1,440 patients during January 2021 – September 2021, who were randomized to receive either standard colonoscopy or colonoscopy using computer-assisted detection software. All patients included in the study were over the age of 40 and were undergoing a screening or surveillance colonoscopy, but had not had a previous colonoscopy in the past three years. 677 patients 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 compared to 0.82 and there was no decrease in the actual histological rate indicating that the polyps of concern had all been removed.
“Colorectal cancer is the second leading cause of cancer-related death in France. United States and it’s one of the few cancers that can be prevented if caught early,” Dr. Shaukat said. “Our mission remains to improve and improve the quality and efficiency of colonoscopy in all areas 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, PhD, and William R Brugge, MD, for the SKOUTTM Registration Study Team. The study was funded by Iterative Scopes, Inc.
Dr. Shaukat will present the study titled, “Increased detection of adenomas using a novel computer-aided detection device, Skout™: results from a multicenter randomized clinical trial in the United States,” on Tuesday, May 24, 2022 from 8h15-8h30 during the Last-Minute Clinical Science Abstracts Plenary of the Digestive Diseases Week Conference.
View original content to download multimedia: https://www.prnewswire.com/news-releases/new-research-finds-computer-assisted-colonoscopy-identify-more-precancerous-polyps-compared-to-traditional-colonoscopy -301552603.html
SOURCE NYU Langone Health