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-Directed Contrast-Enhanced Mammography Improves Detection of Breast Lesions

By MedImaging International staff writers
Posted on 31 Aug 2022
Print article
Image: MRI-directed CEM detects a higher fraction of suspicious MRI lesions (Photo courtesy of Unsplash)
Image: MRI-directed CEM detects a higher fraction of suspicious MRI lesions (Photo courtesy of Unsplash)

Suspicious lesions detected on contrast-enhanced breast MRI often undergo targeted ultrasound evaluation to determine if they are amenable to ultrasound-guided biopsy. A new study aimed to assess the utility of MRI-directed contrast-enhanced mammography (CEM) performed for biopsy planning of suspicious MRI-detected breast lesions, with comparison to MRI-directed ultrasound. The study found that MRI-directed CEM detects a higher fraction of suspicious MRI lesions than MRI-directed ultrasound and also detects a higher fraction than either method individually.

The retrospective study by researchers at the University of Virginia Health System (Charlottesville, VA, USA) included 120 patients (median age, 50.3 years) who underwent MRI-directed CEM from September 2014 to July 2020 for biopsy planning of a total of 140 suspicious breast MRI lesions; 109 lesions were also evaluated by MRI-directed ultrasound at the same visit. Reference standard was histopathology or at least two years of imaging follow-up for benign lesions. Rates of detecting a correlate for the MRI lesion, among all lesions and among malignant lesions, were compared between MRI-directed CEM, MRI-directed ultrasound, and combined MRI-directed CEM and ultrasound (i.e., correlate detected on either modality) using McNemar's test. Frequencies of imaging modalities used for biopsy guidance after MRI-directed imaging were determined.

The study revealed that 21 of 109 lesions were malignant. The lesion detection rate was higher for MRI-directed CEM than for MRI-directed ultrasound [69.7% (76/109) vs 45.9% (50/109); p<.001], and higher for combined MRI-directed CEM and ultrasound [77.1% (84/109)] than for either MRI-directed CEM (p=.008) or MRI-directed ultrasound (p<.001). The malignant lesion detection rate was not significantly different between MRI-directed CEM and MRI-directed ultrasound [95.7% (22/23) vs. 78.3% (18/23); p=.13]. A total of 31.2% (34/109) of lesions were seen only on MRI-directed CEM, and 7.3% (8/109) were seen only on MRI-directed ultrasound. A total of 17.4% (4/23) of malignant lesions were seen only on MRI-directed CEM, and none were seen only on MRI-directed ultrasound. Among lesions recommended for biopsy, stereotactic- or tomosynthesis-guided biopsy was recommended for 25.2% (26/103), ultrasound-guided biopsy for 35.9% (37/103), and MRI-guided biopsy for 38.8% (40/103).

Based on these findings, the researchers concluded that MRI-directed CEM detects a higher fraction of suspicious MRI lesions than does MRI-directed ultrasound. MRI-directed CEM/ultrasound detects a higher fraction than either method individually. The researchers have suggested that MRI-directed CEM can be a useful alternate or complementary tool to MRI-directed ultrasound in biopsy planning for suspicious MRI lesions, facilitating use of biopsy guidance methods other than MRI guidance.

 

 

New
Stereotactic QA Phantom
StereoPHAN
Portable X-ray Unit
AJEX140H
New
Digital Radiography System
DigiEye 680
New
X-Ray Illuminator
X-Ray Viewbox Illuminators

Print article

Channels

Ultrasound

view channel
Image: The model trained on echocardiography, can identify liver disease in people without symptoms (Photo courtesy of 123RF)

Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms

Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... 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: This image presents heatmaps highlighting the areas LILAC focuses on when making predictions (Photo courtesy of Dr. Heejong Kim/Weill Cornell Medicine)

AI System Detects Subtle Changes in Series of Medical Images Over Time

Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... 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.