We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App




AI Tool Detects Hard to Spot Cancerous Lesions in Colon

By HospiMedica International staff writers
Posted on 09 Nov 2022
Print article
Image: An AI tool has been further refined to identify hard to spot ‘flat’ polyps (Photo courtesy of Pexels)
Image: An AI tool has been further refined to identify hard to spot ‘flat’ polyps (Photo courtesy of Pexels)

Adenomatous polyps (AP) are more common and have distinctive tubular features with the growth resembling a mushroom, attached to the colon by a thin stalk. In comparison flat polyps, including flat lesions and sessile serrated lesions (SSLs), known as ‘subtle advanced neoplasia’, have far fewer distinctive features and are notoriously difficult to detect. They are also more likely to develop into an aggressive cancer, meaning it will spread or grow quickly. Now, scientists have further refined an artificial intelligence (AI) tool to identify hard to spot flat polyps, that - when left untreated - can become highly aggressive and are a major cause of colorectal (bowel) cancer.

For the study, scientists at University College London (UCL, London, UK) trained the AI in Odin Vision’s CADDIE (Computer Aided (AI) Device used in Endoscopy) system on flat polyps. CADDIE uses AI during an endoscopy to detect and characterize AP in real-time. The researchers upgraded the CADDIE AI algorithm and created four video test datasets, containing images of 173 polyps (consisting of more than 670,000 individual frames), that included a dataset of the most challenging flat polyps.

In the challenging dataset, the algorithm detected a significantly higher percentage of the flat polyps when compared to expert and trainee colonoscopists, at 79.5% versus 37% and 11.5% respectively. The AI also detected flat polyps at a faster rate and across the other datasets the algorithm detected nearly 100% of polyps. Researchers say the enhanced AI will help to detect significantly more of the subtle advanced neoplasia group, helping to reduce colorectal (cancer of the colon or rectum, or bowel cancer) cancer.

“Polyps that are flat, or depressed, are far harder to spot until they are quite large, and the data shows they are more likely to be aggressive,” said senior author Professor Laurence Lovat (UCL Surgery & Interventional Science). “Refining the AI is a significant step forward in the early detection of colorectal cancer and will lead to lower rates of missed cancers and vastly improve our capability to save lives.”

“It was encouraging to see that AI can double the expert detection rate for these polyps,” added study co-author Juana González-Bueno (Research Scientist, Odin Vision). “More importantly, it can increase the detection rate of less experienced colonoscopists by a factor of seven. Overall, the implications are great as it enables all colonoscopist experience levels to surpass expert polyp detection rates.”

Related Links:
University College London 

Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Bladder Scanner
Z3

Print article

Channels

Critical Care

view channel
Image: Researchers have developed a novel risk score for cardiovascular complications after bone marrow transplant (Photo courtesy of 123RF)

Novel Tool Predicts Cardiovascular Risks after Bone Marrow Transplantation

Every year, thousands of people undergo bone marrow transplants to potentially cure serious diseases like leukemia, lymphoma, and immune deficiency disorders. While these transplants can be lifesaving,... Read more

Surgical Techniques

view channel
Image: The Early Bird Bleed Monitoring System provides visual and audible indicators of the onset and progression of bleeding events (Photo courtesy of Saranas)

Novel Technology Monitors and Lowers Bleeding Complications in Patients Undergoing Heart Procedures

Bleeding complications at the femoral access site can significantly hamper recovery, affecting the success of procedures, patient satisfaction, and overall healthcare costs. It is crucial for surgeons... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The new eye-safe laser technology can diagnose traumatic brain injury (Photo courtesy of 123RF)

Novel Diagnostic Hand-Held Device Detects Known Biomarkers for Traumatic Brain Injury

The growing need for prompt and efficient diagnosis of traumatic brain injury (TBI), a major cause of mortality globally, has spurred the development of innovative diagnostic technologies.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.