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
Agfa Radiology

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Artificial Intelligence Medical Imaging to Determine Which Rectal Cancer Patients Need Surgery

By MedImaging International staff writers
Posted on 06 Dec 2021
Print article
Image: Artificial intelligence medical imaging to determine which rectal cancer patients need surgery (Photo courtesy of Case Western Reserve University)
Image: Artificial intelligence medical imaging to determine which rectal cancer patients need surgery (Photo courtesy of Case Western Reserve University)

Researchers plan to test artificial intelligence (AI) medical imaging to determine which rectal cancer patients need surgery - or can avoid it.

Building on its successes in applying AI to medical imaging to enhance treatment of other diseases, a research team, led by Case Western Reserve University (Cleveland, OH, USA), will test its approach with rectal cancer patients. Specifically, the researchers hope to provide reliable guidance regarding whether patients need to have surgery as part of their treatment.

Currently, clinicians do not have a reliable way to predict which rectal cancer patients would respond favorably to treatments such as chemotherapy or radiation, so most patients have to undergo invasive surgery to remove the rectum and surrounding tissue. Previous research has reported that up to 30% of people diagnosed with rectal cancer have surgery they didn’t need, and often experience effects that hamper the daily life of the patient post the surgery. Those effects can include the need for a colostomy bag, even if temporary, and possible changes in everything from sexual function and infection to mental health, according to previous research.

In the new study, the researchers will work from imaging data from more than 2,000 rectal cancer patients who had been treated at hospitals over the last five years, and test their AI on about 450 to 500 patients. They will tetrospectively test their radiomics to determine if it could have shown which patients would benefit from chemoradiation therapy and which wouldn’t, requiring the surgery. Radiomics refers to the growing number of AI-driven methods to extract a large number of features from medical images using data-characterization algorithms. The features can then help uncover tumors and other characteristics usually invisible to the naked eye. Throughout this project, the research team will design and validate new types of radiomic tools to capture aspects of rectal tumors related to chemoradiation response. The team has already made significant strides in using the tools to predict treatment response to rectal cancer.

“In too many cases, patients are being overtreated,” said lead researcher Satish Viswanath, an assistant professor of biomedical engineering who is leading the work as a member of the Center for Computational Imaging and Personalized Diagnostics (CCIPD). “Instead, if our AI technology is successful, we could tell the clinician right up front—based on a routine MRI (magnetic resonance imaging) scan—if a patient will do well with only chemoradiation and then can be observed, without having this serious surgery.”

Related Links:
Case Western Reserve University 


Print article

Channels

General/Advanced Imaging

view channel
Image: 3D cardiac map created with the EnSite X EP mapping system with OT (Photo courtesy of Abbott)

New Mapping System Improves Heart Rhythm Management

Thanks to omnipolar technology (OT), a new cardiac mapping system provides 360-degree views of the heart, regardless of catheter orientation. The Abbott (Abbott Park, IL, USA) EnSite X EP with OT system... Read more

Imaging IT

view channel
Illustration

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more

Industry News

view channel
Illustration

Global Breast Imaging Systems Market to Reach USD 1.3 Billion by 2024 Due to COVID-19-Led Patient Backlog

The global breast imaging market is expected to be driven by rising incidences of breast cancer, coupled with the huge backlog of women requiring breast cancer screening appointments due to COVID-19.... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.