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




Kinetic Variables Most Useful for Detecting Malignant MRI-Detected Breast Lesions

By MedImaging International staff writers
Posted on 02 Sep 2009
Breast magnetic resonance imaging (MRI) allows clinicians to assess suspicious lesions using a variety of variables. Researchers have revealed that computer-aided kinetic information can help considerably in distinguishing benign from malignant suspicious breast lesions on MRI.

In the study performed at the University of Washington Medical Center (Seattle, USA), researchers analyzed and compared the computer-aided evaluation variables of 125 suspicious breast lesions. Three different kinetic curves (washout, plateau, and persistent) were compared along with lesion morphology (size and shape).

"We wanted to clarify which of the many variables that reflect kinetics were most predictive of malignancy,” said Constance Lehman, M.D., lead author of the study. "We found overlap in kinetic patterns across benign and malignant lesions, but we did determine that the ‘most suspicious' curve type, washout, was useful in separating benign from malignant lesions,” said Dr. Lehman. "Of lesions with the most suspicious curve type [any washout], 45.7% were malignant compared with 20.0% with plateau and 13.3% with entirely persistent enhancement,” she said.

The study's findings were published in the September 2009 issue of the American Journal of Roentgenology (AJR). "We continue to study the specific features on MRI most predictive of breast cancer. We know that the morphology of the lesion is extremely important, but our study also supports the use of kinetic features in lesion assessment. The most suspicious curve, washout, does seem to help distinguish benign from malignant lesions,” said Dr. Lehman. "In breast MRI, it is important to know which variables are most important for predicting malignancy because they help us in determining whether or not a lesion needs to be biopsied or not,” she said.

Related Links:

University of Washington Medical Center



Medical Radiographic X-Ray Machine
TR30N HF
X-ray Diagnostic System
FDX Visionary-A
Digital X-Ray Detector Panel
Acuity G4
New
Silver Member
X-Ray QA Device
Accu-Gold+ Touch Pro

Channels

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... 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.