AI reduces miss rate of precancerous polyps in colorectal cancer
screening

Date:
April 18, 2022
Source:
Mayo Clinic
Summary:
Artificial intelligence reduced by twofold the rate at which
precancerous polyps were missed in colorectal cancer screening,
reported a team of international researchers.



FULL STORY ========================================================================== Artificial intelligence reduced by twofold the rate at which precancerous polyps were missed in colorectal cancer screening, reported a team of international researchers led by Mayo Clinic. The study is published
in Gastroenterology.


==========================================================================
Most colon polyps are harmless, but some over time develop into colon or
rectal cancer, which can be fatal if found in its later stages. Colorectal cancer is the second most deadly cancer in the world, with an estimated
1.9 million cases and 916,000 deaths worldwide in 2020, according to
the World Health Organization. A colonoscopy is an exam used to detect
changes or abnormalities in the large intestine (colon) and rectum.

Between February 2020 and May 2021, 230 study participants each underwent
two back-to-back colonoscopies on the same day at eight hospitals and
community clinics in the U.S., U.K. and Italy. One colonoscopy used AI;
the other, a standard colonoscopy, did not.

The rate at which precancerous colorectal polyps is missed has been
estimated to be 25%. In this study, the miss rate was 15.5% in the group
that had the AI colonoscopy first. The miss rate was 32.4 % in the group
that had standard colonoscopy first. The AI colonoscopy detected more
polyps that were smaller, flatter and in the proximal and distal colon.

"Colorectal cancer is almost entirely preventable with proper
screening," says senior author Michael B. Wallace, M.D., division chair
of gastroenterology and hepatology at Sheikh Shakhbout Medical City in Abu Dhabi, United Arab Emirates and the Fred C. Andersen Professor of Medicine
at Mayo Clinic in Jacksonville, Fla. "Using artificial intelligence to
detect colon polyps and potentially save lives is welcome and promising
news for patients and their families." In addition, false negative
rates were 6.8% in the group that had the AI colonoscopy first. It was
29.6% in the group that had standard colonoscopy first. A false-negative
result indicates that you do not have a particular condition, when in
fact you do.

The study's senior author and principal investigator is Michael
B. Wallace, M.D., of Sheikh Shakhbout Medical City in Abu Dhabi, UAE
and Mayo Clinic in Jacksonville, Fla. Co-authors include Cesare Hassan,
M.D., Ph.D, of Nuovo Regina Margherita Hospital in Rome, Italy; James
East, M.D., of John Radcliffe Hospital in Oxford, U.K., and Mayo Clinic Healthcare in London; Frank Lukens, M.D., of Mayo Clinic in Jacksonville,
Fla.; Genci Babameto, M.D., of Mayo Clinic Health System in La Crosse,
Wis.; Daisy Batista, M.D., of Mayo Clinic Health System in La Crosse,
Wis.; Davinder Singh, M.D., of Mayo Clinic Health System in La Crosse,
Wis.; William Palmer, M.D. of Mayo Clinic in Jacksonville, Fla.;
Francisco C. Ramirez, M.D., of Mayo Clinic in Scottsdale, Ariz.; Tisha Lunsford, M.D., of Mayo Clinic in Scottsdale, Ariz.; Kevin Ruff, M.D.,
of Mayo Clinic in Scottsdale, Ariz.; David Cangemi, M.D., of Mayo Clinic
in Jacksonville, Fla.; Gregory Derfus, M.D., of Mayo Clinic Health
System in Eau Claire, Wis. Victor Ciofoaia, M.D., another co-author,
was affiliated with Mayo during the study, but has since left Mayo.

Cosmo Artificial Intelligence-AI Ltd. funded the study.

Dr. Wallace has financial interests in Verily, Cosmo Pharmaceuticals,
Fujifilm, Olympus and Virgo.


========================================================================== Story Source: Materials provided by Mayo_Clinic. Original written by
Rhoda Madson. Note: Content may be edited for style and length.


========================================================================== Journal Reference:
1. Micheal B. Wallace, Prateek Sharma, Pradeep Bhandari, James East,
Giulio
Antonelli, Roberto Lorenzetti, Micheal Vieth, Ilaria Speranza, Marco
Spadaccini, Madhav Desai, Frank J. Lukens, Genci Babameto, Daisy
Batista, Davinder Singh, William Palmer, Francisco Ramirez, Rebecca
Palmer, Tisha Lunsford, Kevin Ruff, Elizabeth Bird-Liebermann,
Victor Ciofoaia, Sophie Arndtz, David Cangemi, Kirsty Puddick,
Gregory Derfus, Amitpal S. Johal, Mohammed Barawi, Luigi Longo,
Luigi Moro, Alessandro Repici, Cesare Hassan. Impact of Artificial
Intelligence on Miss Rate of Colorectal Neoplasia. Gastroenterology,
2022; DOI: 10.1053/j.gastro.2022.03.007 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2022/04/220418125556.htm

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