News | June 27, 2007

Study Shows CAD for Breast MRI Improves Standardization, Analysis of Studies

June 28, 2007 - Confirma, developer of CADstream and market leader in computer-aided detection (CAD) for breast MRI, today announced research will be published in the July issue of the journal Radiology indicating that CAD for breast MRI may improve standardization and the analysis of benign and malignant lesions.
Teresa Williams, M.D., and colleagues at the Seattle Cancer Care Alliance and the University of Washington Medical Center did a retrospective examination of 154 breast lesions deemed suspicious by radiologists that were only visible on MRI and that had been biopsied under MRI guidance (‘Breast MR Imaging: Computer Aided Evaluation (CAE) Program for Discriminating Benign and Malignant Lesions’). They compared the findings and recommendations made by radiologists at the time to the findings obtained using CAD for breast MRI to evaluate studies.
The lesions in the study had been identified and biopsied during 2001-2004 from a study population of 125 women, age 27-86. The studies were processed using CADstream, version 3.0. CAD was used to analyze the breast tissue and mark areas where the MRI data curves were characteristic of abnormal lesions. Analysis of the tissue enhancement data as displayed in the CAD-processed images identified 38 of the 41 malignant lesions examined by radiologists using the software, according to researchers. Using the standardized CAD protocols and enhancement profiles, the radiologists noticed a reduction in their false positive rate. Dr. Williams was a medical resident in radiology at the Seattle Cancer Care Alliance (SCCA) when the research was done. She is now a fellow in pediatric radiology at Children’s Hospital and Regional Medical Center in Seattle.
“There are challenges associated with breast MRI and one is the time it takes to process and evaluate the many images acquired,” said Constance Lehman, M.D., corresponding author and director of radiology at the SCCA. “Computer software programs such as the one evaluated in our study can assist us in interpreting breast MRI scans more easily. Our study suggests that the information provided may improve our ability to distinguish between benign and malignant lesions.”
For more information: www.confirma.com

Related Content

Transpara Deep Learning Software Matches Experienced Radiologists in Mammogram Reading
News | Computer-Aided Detection Software | January 12, 2018
Deep learning and artificial intelligence improves the efficiency and accuracy of reading mammograms, according to...
Videos | Artificial Intelligence | December 19, 2017
A post-game roundup by ITN Contributing Editor Greg Freiherr and ITN Editor Dave Fornell on the key trend of artifici
iCAD's PowerLook Tomo Detection Experiences Growing Adoption
News | Mammography | December 14, 2017
December 14, 2017 — iCAD Inc.
Infervision Launches AI Platform to Help Radiologists Diagnose Stroke Faster
Technology | Computed Tomography (CT) | November 28, 2017
Infervision is introducing what it calls the first and only artificial intelligence (AI) platform to help radiologists...
Kansas City Radiology Center Employs iCAD PowerLook Tomo Detection for DBT
News | Computer-Aided Detection Software | November 10, 2017
November 10, 2017 — Imaging for Women, a leading radiology center in Kansas City, Mo., announced it is now using iCAD
Zebra Medical Vision Collaborating With Google Cloud on AI-Based Imaging Platform
News | Artificial Intelligence | November 09, 2017
Deep learning imaging analytics company Zebra Medical Vision announced that all its current and future radiology...
CureMetrix Expands Medical Advisory Board
News | Computer-Aided Detection Software | November 08, 2017
November 8, 2017 — CureMetrix, a company developing...
PowerLook Tomo Detection Named 2017 New Hampshire High Technology Council Product of the Year
News | Computer-Aided Detection Software | October 27, 2017
iCAD Inc. announced that its PowerLook Tomo Detection has been named 2017 Product of the Year by the New Hampshire High...
Matrix Analytics Beginning Validation of Deep Learning Lung CT Tools
News | Lung Cancer | September 13, 2017
Matrix Analytics announced it will clinically validate its LungDirect deep learning and predictive analytics tools for...
20/20 GeneSystems Launches AI-Based Lung Cancer Detection Technology in China
Technology | Lung Cancer | August 28, 2017
20/20 GeneSystems Inc. recently released in China what is believed to be the world’s first machine learning algorithm...
Overlay Init