Tag Archive for: endoscopy

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Colon Capsule Endoscopy with AI: A Promising Approach for Early Cancer Detection

By Deepthi Nishi Velamuri

Colon cancer is the third most common cancer in the U.S., and early detection is essential for improving survival rates. Colon capsule endoscopy (CCE) is a minimally invasive procedure that uses a small camera to examine the colon. It is a good alternative to colonoscopy for people who are unable to undergo traditional colonoscopy, such as those who are obese or have a history of bowel obstruction.

However, CCE can be time-consuming and labor-intensive to analyze. This is where artificial intelligence (AI) can help. AI-powered software can be used to automatically analyze CCE footage, identify potential polyps, and flag them for further review by a doctor.

A study published in the journal Colorectal Disease found that AI-powered software was able to detect polyps with a high degree of accuracy. The study also found that AI-powered software could reduce the time required to analyze CCE footage by up to 70%.

These findings suggest that AI-powered software could make CCE a more feasible option for wider use. This could lead to earlier detection of colon cancer and improved survival rates.

Here are some of the benefits of using AI-supported footage analysis in CCE:

  • Increased accuracy: The software can identify polyps with a high degree of accuracy, even those that are small or difficult to see.
  • Reduced time: The software can reduce the time required to analyze CCE footage by up to 70%. This frees up time for doctors to focus on other tasks, such as providing patient care.
  • Improved patient experience: The software can make CCE a more comfortable and convenient procedure for patients. This is because patients do not have to undergo sedation or gas insufflation, and they can return to their normal activities sooner.

Overall, AI-supported footage analysis is a promising approach for improving the accuracy, efficiency, and patient experience of CCE. It is a technology that is worth watching as it continues to develop.

 

Deepthi Nishi Velamuri is a Colorectal Cancer Prevention Intern with the Colon Cancer Foundation.

Image by Gerd Altmann from Pixabay

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Computer-Assisted Colonoscopy Better at Detecting Precancerous Polyps 

Colonoscopy is the most effective test for colorectal cancer (CRC) screening and prevention. This procedure minimizes the incidence and mortality of colorectal cancer through early detection. During a colonoscopy, a physician inserts, and threads a flexible tube with a tiny camera called a colonoscope into the rectum and through the entire colon, or large intestine. This helps identify abnormal growths and excise any polyps which can then be sent for diagnosis.

However, research has shown that despite being the gold-standard for CRC screening, 23-30% of adenomas are overlooked and missed during a traditional colonoscopy, the success of which can vary depending on operator skills.

“Colorectal cancer is the second leading cause of cancer-related deaths in the United States and it is one of the few cancers that can be prevented if caught early,” said Aasma Shaukat, MD, MPH at NYU Grossman School of Medicine and the Robert M. and Mary H. Glickman Professor of Medicine and Gastroenterology and Director of Outcomes Research for the Division of Gastroenterology and Hepatology. “Our mission remains to improve and enhance the quality and efficacy of the colonoscopy across the board to provide the best care for patients.”  

In order to improve the efficiency and efficacy of colonoscopies, Dr. Shaukat and her team have developed an artificial intelligence (AI) platform to assist endoscopists. The findings of their  prospective, randomized, multicenter collaborative study to test the AI platform were recently published in the journal Gastroenterology. Between January and September 2021, twenty-two skilled, board-certified gastroenterologists performed colonoscopies on 1,440 patients. The patients were randomized to receive a traditional colonoscopy or a colonoscopy with computer-aided detection software —the software detects colorectal polyps during high-definition white-light colonoscopy procedures. This device can identify potential polyps and identify areas of concern, refining the results of the procedure in real-time. 

The researchers found that using AI during a screening colonoscopy increased the adenoma per colonoscopy rate by 22%: from 0.82 to 1.05. This evidence indicates that AI can be an effective and efficient tool for gastroenterologists and endoscopists to reduce the number of overlooked polyps left behind in the colon, many of which can be precancerous. 

Dr. Shaukat states, “Our findings add to the growing amount of literature that shows using computer-aided technology during an endoscopy procedure can improve the quality of exams performed and improve outcomes for our patients. Several software technologies are currently available for clinicians and incorporating the use of these resources will only enhance the care we provide our patients and improve the quality of exams we as physicians are able to perform.”

Sahar Alam is a Colorectal Cancer Prevention intern with the Colon Cancer Foundation.

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