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




FFDM Breast Cancer Screening Combined with 3D ABUS to Reduce the Incidence of Interval Cancer

By MedImaging International staff writers
Posted on 27 Jun 2016
Print article
The results of a Swedish study have shown that the addition of 3D Automated Breast Ultrasound (ABUS) to a Full-Field Digital Mammography (FFDM) screening program could reduce the likelihood of interval cancers.

Interval breast cancer cases are those cancers that are found within one year after a women undergoes a mammographic screening that has resulted in normal findings.

The researchers from the Unilabs Mammography Capio St Goran Hospital (Stockholm, Sweden) enrolled 1,675 asymptomatic women who took part in a service-screening program between November 2010 and February 2012. The women underwent a visual mammographic assessment and had more than 50% density in their breasts. As a next step, the researchers acquired and reviewed bilateral ABUS scans together with double-read two-view FFDM screening.

The study was published as a poster in the European Society of Radiology’s annual European Congress of Radiology (ECR 2016) in Vienna, Austria.

By combined mammography service screening using bilateral ABUS scans with double-read two-view FFDM, the researchers were able to identify five women with invasive ductal estrogen and progesterone-positive interval cancers. All these women presented with a palpable breast lump. Three of the women were aged between 40 and 49.

The researchers concluded that the addition of bilateral ABUS scanning to a standard mammography-screening program could be useful for bringing down the number of interval cancers, but that further research was necessary.

Related Links:
Unilabs Mammography Capio St Goran Hospital

New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Ultrasound Imaging System
P12 Elite
New
Mobile Barrier
Tilted Mobile Leaded Barrier
New
Ultra-Flat DR Detector
meX+1717SCC

Print article
Radcal

Channels

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... 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.