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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread

By MedImaging International staff writers
Posted on 27 Feb 2025
Print article
Image: Side by side image of same breast tissue in MRI and FCI (Photo courtesy of University of Aberdeen)
Image: Side by side image of same breast tissue in MRI and FCI (Photo courtesy of University of Aberdeen)

Currently, approximately 15% of women require a second surgery after a lumpectomy because the edges of the tumor may still contain cancerous cells. Medical imaging plays a crucial role in assisting physicians with the management, diagnosis, follow-up, screening, and therapeutic decision-making for breast cancer patients. Each imaging technique serves a specific purpose, but magnetic resonance imaging (MRI) is particularly beneficial due to its ability to penetrate tissues with radiofrequency (RF) waves without compromising the integrity of cells or biomolecules. This allows for non-invasive visualization of the entire organ. Now, a groundbreaking new MRI technology, Field-Cycling Imaging (FCI), could revolutionize the diagnosis and treatment of breast cancer, potentially reducing the need for repeat surgeries and providing more personalized treatment plans.

Scientists at the University of Aberdeen (Aberdeen, Scotland) utilized a prototype of the FCI scanner to analyze the breast tissue of patients recently diagnosed with cancer. Their study, published in Nature Communications Medicine, demonstrated that the FCI scanner was able to differentiate tumor tissue from healthy tissue with greater accuracy than current MRI methods. This innovation has the potential to significantly alter breast cancer treatment, reducing the need for multiple surgeries. The promising results with breast tissue follow earlier successes where the prototype effectively identified brain damage caused by a stroke.

The FCI scanner builds upon the legacy of the full-body MRI scanner, which was also developed at the University of Aberdeen about 50 years ago and has since saved millions of lives globally. While FCI is derived from MRI technology, it operates at ultra-low magnetic fields, allowing it to detect how diseases affect organs in ways that were previously not possible. Although it shares similarities with MRI—using strong magnetic fields and radio waves to generate detailed internal images without physical contact—the FCI scanner can adjust the magnetic field strength during a patient’s scan. This unique capability allows the FCI to function like multiple scanners, providing a range of information about tissue. Another major advantage of this technology is that it can detect tumors without the need for contrast dyes, which can sometimes cause kidney damage or allergic reactions in patients.

“We found that images generated from FCI can characterize breast tumors more accurately,” said Dr. Lionel Broche, Senior Research Fellow in Biomedical Physics and lead researcher in the study. “This means it could improve the treatment plan for the patients by improving the accuracy of biopsy procedures by better detecting the type and location of tumors, and by reducing repeated surgery so really, the potential impact of this on patients is extraordinary.”

Multi-Use Ultrasound Table
Clinton
New
Stereotactic QA Phantom
StereoPHAN
New
HF Stationary X-Ray Machine
TR20G
New
Radiation Shielding
Oversize Thyroid Shield

Print article

Channels

Ultrasound

view channel
Image: Ultrasound detection of vascular changes post-RT corresponds to shifts in the immune microenvironment (Photo courtesy of Theranostics, DOI:10.7150/thno.97759)

Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy

While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read more

Nuclear Medicine

view channel
Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242)

Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery

Each year, around 18,000 individuals in the United States experience spinal cord injuries, leading to severe mobility loss that often results in a lifelong battle to regain independence and improve quality of life.... Read more

General/Advanced Imaging

view channel
Image: Data collected in pre-treatment CT-scans may provide important imaging biomarkers to better predict patient prognosis (Photo courtesy of Shutterstock)

New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers

Cancers of the mouth, nose, and throat are becoming increasingly common in the U.S., particularly among younger individuals. Approximately 60,000 new cases are diagnosed annually, with 20% of these cases... 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
Copyright © 2000-2025 Globetech Media. All rights reserved.