News | October 01, 2008

Hologic’s CAD Could Improve Cancer Detection Rate in Mammography

October 2, 2008 - In a study that used Hologic’s R2 computer-aided detection (CAD) system, researchers found that “Single reading with computer-aided detection could be an alternative to double reading and could improve the rate of detection of cancer from screening mammograms read by a single reader.”

The study, which will published October 16, 2008 in The New England Journal of Medicine and was published in the online version of the Journal yesterday (http://content.nejm.org/cgi/content/full/NEJMoa0803545]), was a prospective, multi-center clinical trial, comparing the cancer detection rate for single reading of screening mammograms with CAD input versus double reading without CAD support.

Interpretation by two readers (double reading) rather than one reader is known to improve the cancer detection rate. The study’s authors stated that “Where single reading is standard practice, computer-aided detection has the potential to improve cancer detection to the level achieved by double reading.”

In the study, lead author Dr. Fiona Gilbert and her colleagues in the United Kingdom analyzed the screening results from 31,057 women undergoing routine screening by film mammography and found that a single reader with Hologic’s R2 CAD system produced comparable cancer detection rates (87.2 percent) to double reading (87.7 percent) without CAD. Although single reading with CAD produced a higher recall rate (3.9 percent) than double reading (3.4 percent), they concluded that despite this difference, “Single reading with computer-aided detection could be an alternative to double reading and could improve the rate of detection of cancer from screening mammograms read by a single reader.”

“Double reading is a method for increasing cancer detection commonly used in European screening programs. However, it is used by few practices in the United States because it is time-consuming and because of a shortage of radiologists focused on breast imaging,” said Ronald A. Castellino, MD, FACR, Chief Medical Officer for Hologic. “These results indicate that in the United States, where single reading of mammograms is most common, Hologic’s R2 CAD system can provide an improvement in cancer detection rates comparable to those achieved with double reading. This important study, combined with prior published research studies, further supports the use of the R2 CAD system to increase cancer detection.”

For more information: www.hologic.com

Related Content

ClearRead CT Nearing 50 Installations Milestone
News | Computed Tomography (CT) | June 22, 2017
June 22, 2017 — Riverain Technologies announced that it is now processing data from nearly 50...
Carestream Spotlights New Imaging Analytics Tools for Preventative Care at SIIM 2017, Clinical Collaboration Platform
News | Computer-Aided Detection Software | May 15, 2017
Carestream Health is demonstrating new imaging analytics tools that are being added to its Clinical Collaboration...
Low-Cost AI Could Screen for Cervical Cancer Better Than Humans
Feature | Artificial Intelligence | April 25, 2017
Artificial intelligence (AI) is already exceeding human abilities. Self-driving cars use AI to perform some tasks more...
Parascript and Volpara Establish Partnership for Improved Early Cancer Detection
News | Computer-Aided Detection Software | April 11, 2017
Parascript LLC announced a new partnership with Volpara Solutions, creator of Volpara Density automated breast density...
iCAD, PowerLook Tomo Detection, computer-aided detection software, CAD, digital breast tomosynthesis, DBT, RSNA 2017
Technology | Computer-Aided Detection Software | March 27, 2017
March 27, 2017 — iCAD announced that PowerLook Tomo Detection received Premarket Approval (PMA) from the U.S.
Parascript, AccuDetect CAD for Mammography, computer-aided detection, NCoBC 2017
News | Computer-Aided Detection Software | March 15, 2017
Parascript will exhibit at the National Consortium of Breast Centers (NCoBC) 27th Conference, March 11-17, 2017, in Las...
artificial intelligence, radiology, five reasons, Signify Research report
News | Artificial Intelligence | December 19, 2016
December 19, 2016 — A recent report from market research firm Signify Research presents five reasons why...
Sponsored Content | Videos | Artificial Intelligence | December 16, 2016
At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and m
Sponsored Content | Videos | Artificial Intelligence | December 08, 2016
Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explains th
Technology | Computer-Aided Detection Software | December 07, 2016
QView Medical Inc. announced that it received U.S. Food and Drug Administration (FDA) approval in early November for...
Overlay Init