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 Model Detects Hidden Cancers on CT Scans in Asymptomatic Individuals

By MedImaging International staff writers
Posted on 03 Oct 2023
Print article
Image: A new AI innovation has inspired hope in early detection of pancreatic cancer (Photo courtesy of Mayo Clinic)
Image: A new AI innovation has inspired hope in early detection of pancreatic cancer (Photo courtesy of Mayo Clinic)

Pancreatic cancer ranks high among the leading causes of cancer-related deaths and has a bleak prognosis with nearly 70% of those diagnosed succumbing within the first year. A significant obstacle to early detection is that 40% of small pancreatic cancers go unnoticed in CT scans until they progress to a stage that is untreatable. This creates a severe limitation for early detection strategies, making imaging technology the last piece of the puzzle in catching cancer when it is still curable.

Researchers at Mayo Clinic (Rochester, MN, USA) have made a breakthrough by creating an artificial intelligence (AI) model capable of autonomously detecting pancreatic cancer in its early stages using standard CT scans. The AI model considered highly accurate, was trained on the world's most extensive and diverse imaging dataset, which included over 3,000 patients. This training enables the model to automatically detect even small tumors that are usually hard to spot.

What's particularly noteworthy is that this AI model has the capability to identify cancer that is nearly invisible on prediagnostic CT scans—those taken from three to 36 months before a clinical diagnosis is made. Impressively, the model can catch these cancers a median of 438 days prior to traditional clinical diagnosis. Moreover, the model holds up well across different patient demographics and remains accurate even when varying scanning equipment and imaging techniques are used. This adaptability is essential for the technology to be useful in a broad range of healthcare settings.

"This is where the study emerges as a beacon of hope," said Ajit H. Goenka, M.D., a Mayo Clinic radiologist and principal investigator. "It addresses the last-mile challenge — detecting the cancer at a stage when the cancer is even beyond the scope of experts."

"These findings suggest that AI has the potential to detect hidden cancers in asymptomatic individuals, allowing for surgical treatment at a stage when a cure is still achievable," Dr. Goenka added.

Related Links:
Mayo Clinic

Gold Member
Solid State Kv/Dose Multi-Sensor
MRI System
uMR 588
Gold Member
Radiation QA Tool
Accu-Gold 3
Crossover Angiography System
Trinias C16/C12/F12 Unity Smart Edition

Print article



view channel
Image: 0.55T has been found sufficient to obtain a diagnostic-quality image from an MRI (Photo courtesy of 123RF)

Low Field 0.55T MRI Images Offer Similar Diagnostic Utility as 1.5T for Abdominal Scans

Magnetic resonance imaging (MRI) is a vital tool in medical diagnostics, but the high cost of whole-body clinical systems is a significant barrier. Recent advancements in MRI technology, including hardware,... Read more


view channel
Image: Intravascular ultrasound provides a more accurate and specific picture of the coronary arteries (Photo courtesy of 123RF)

Intravascular Imaging Significantly Improves Outcomes in Cardiovascular Stenting Procedures

Individuals with coronary artery disease, which involves plaque accumulation in the arteries leading to symptoms like chest pain, shortness of breath, and heart attacks, often undergo a non-surgical procedure... Read more

Nuclear Medicine

view channel
Image: The PET imaging technique can noninvasively detect active inflammation before clinical symptoms arise (Photo courtesy of 123RF)

New PET Tracer Detects Inflammatory Arthritis Before Symptoms Appear

Rheumatoid arthritis, the most common form of inflammatory arthritis, affects 18 million people globally. It is a complex autoimmune disease marked by chronic inflammation, leading to cartilage and bone... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: The acquisition will expand IBA’s medical imaging quality assurance offering (Photo courtesy of Radcal)

IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering

Ion Beam Applications S.A. (IBA, Louvain-La-Neuve, Belgium), the global leader in particle accelerator technology and a world-leading provider of dosimetry and quality assurance (QA) solutions, has entered... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.