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




MRI and Ultrasound Application Developed to Recognize Malignant Tumors Before they Metastasize

By MedImaging International staff writers
Posted on 16 Feb 2009
Print article
A new imaging approach--based on a combination of magnetic resonance imaging (MRI) and ultrasound technology--is able to measure the metabolic rates of breast cancer cells. This approach helps determine at an earlier stage than ever before which cells are metastasizing, and how they should be treated.

Not all breast cancers are similar, and not all will have deadly consequences. But because clinicians find it difficult to effectively determine which tumors will metastasize, many patients do not receive the therapy that fits their disease. Researchers from Tel Aviv University (TAU; Israel) have now refined breast cancer identification so that each course of treatment is as individual as the woman being treated.

The method, expected to start clinical trials in 2010, is currently being researched in Israel hospitals. "We have developed a nonintrusive way of studying the metabolism of breast cancer in real time,” remarked Dr. Ilan Tsarfaty, a lead researcher from TAU's Sackler Faculty of Medicine. "It's an invaluable tool. By the time results are in from a traditional biopsy, the cancer can already be radically different. But using our technique, we can map the tumor and its borders and determine with high levels of certainty--right away--which patients should be treated aggressively.”

The research falls in a new field called "translational and personalized medicine,” and according to Dr. Tsarfaty, it has the potential to save thousands of lives. Articles describing his methodologies are slated for upcoming publication in the journals Cancer Research and Neoplasia. "Current breast cancer treatments are not tailored to individual patients,” Dr. Tsarfaty said. "Our approach to profiling individual tumors will not only help save lives today, it will provide the basic research for developing cancer drugs of the future.”

The new research can be applied to all solid tumors, including those resulting from lung and brain cancer, and could be used to respond to a wide range of neurodegenerative diseases, such as Alzheimer's, Dr. Tsarfaty reported.

Dr. Tsarfaty's MRI and ultrasound-imaging application tracks the metabolic changes that occur during cancer metastasis. Increased blood flow (which can be sensed by ultrasound) and an increase of oxygen consumption (measured with an MRI) can indicate cancer metastasis with unprecedented levels of sensitivity.

Typically, scientists look for structural alterations in the body, such as the presence of a tumor. But with their new methods, Dr. Tsarfaty and his team, which includes his wife, a radiologist, are actually able to "see” cancer metastasis within a small group of cells long before the cancer spreads to other organs in the body. "Today, clinicians only diagnose cancer when they see a tumor several millimeters in size. But our diagnosis can be derived from observing only a few cells, and looks specifically at the activation levels of a protein called Met. Activated Met is an oncogen,” Dr. Galia Tsarfaty stated. "If the tumor cells show activation of Met, we can design personalized medicine to treat a specific kind of breast cancer.”

At Tel Aviv University, Dr. Tsarfaty is now working to establish a molecular imaging center--one of the first to encompass a multi-discipline approach to cancer imaging and treatment.

Related Links:

Tel Aviv University




New
Gold Member
X-Ray QA Meter
T3 AD Pro
Portable Color Doppler Ultrasound Scanner
DCU10
New
Ultrasound Scanner
TBP-5533
Ultra-Flat DR Detector
meX+1717SCC

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... 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 © 2000-2024 Globetech Media. All rights reserved.