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




Ultrasound Technology Helps Identify Patients Who Need Breast Biopsies

By MedImaging International staff writers
Posted on 03 Feb 2011
Print article
A new ultrasound technique is proving beneficial in differentiating malignant from benign breast lesions in some patients--results that could mean fewer unnecessary breast biopsies, a new study revealed.

The study found that ultrasound elastography, which indicates tissue softness, could help predict cancer in patients with BI-RADS (Breast Imaging-Reporting and Data System) category 4 masses. "Because malignant tumors predominantly are harder than benign tissues, this technique significantly improves the differentiation between benign and malignant tissue,” said Hiroko Satake, M.D., lead author of the study. Dr. Satake is from Nagoya University School of Medicine (Nagoya, Japan). "In an analysis of 115 breast masses that were recommended for biopsy [they were categorized as either BI-RADS 4 or BI-RADS 5], ultrasound elastography was 79% accurate in identifying cancer.”

Ultrasound elastography provides radiologists with elasticity scores, with lower scores meaning that the mass contains softer tissue. "By accurately identifying benign tumors with imaging, we may be able to avoid sending patients for unnecessary biopsies. Based on the results of our study, we recommend that patients with BI-RADS 4 masses should undergo biopsy if their ultrasound elasticity score is 4 or 5,” Dr. Satake said.

Dr. Satake noted that ultrasound elastography should be used as an adjunct to conventional sonography and dynamic contrast-enhanced magnetic resonance imaging (MRI), which are currently being used to classify breast lesions based on the standard BI-RADS categorizations.

The study was published in the January 2011 issue of the American Journal of Roentgenology.

Related Links:

Nagoya University School of Medicine

New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Transducer Covers
Surgi Intraoperative Covers
Wall Fixtures
MRI SERIES
Opaque X-Ray Mobile Lead Barrier
2594M

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

MRI

view channel
Image: The scans revealed a new dimension of brain network organization in humans (Photo courtesy of Georgia State University/TReNDS Center Research)

New Approach Identifies Signatures of Chronic Brain Disorders Using fMRI Scans

Traditional studies of brain function, often using fMRI scans to detect brain activity patterns, have shown promise in identifying changes in individuals with chronic brain disorders like schizophrenia.... 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.