News | January 08, 2009

Reading Digital Mammograms Takes No Longer Than Film

January 8, 2009 - Digital mammograms take longer to interpret than film-screen mammograms reported researchers in a study done at The University of Texas M.D. Anderson Cancer Center in Houston, TX.

The study included four radiologists who interpreted 268 digital screening mammograms and 189 film-screening mammograms. “The average interpretation time for all of our readers was 240 seconds (4 minutes) for digital screening mammograms and 127 seconds (2 minutes, 7 seconds) for film-screen screening mammograms,” said Tamara Miner Haygood, M.D., lead author of the study. “The digital screening mammograms took nearly twice as long to interpret as the film-screen screening mammograms,” said Dr. Haygood.

The study identified factors that might have contributed to the difference in time. "Those factors were the identity of the interpreting radiologist, whether there were older studies available for comparison, whether the radiologist looked for and hung up additional films, how many images were obtained and whether the study was normal or not. In each of these situations, the digital images took longer to interpret than the film-screen images," said Dr. Haygood.

"As a result of this study, radiologists should be able to make a more informed choice about whether digital or film-screen mammograms are right for their practice, and if they choose digital screening mammograms, they will have a better idea of how much time to allow for reading them," said Dr. Haygood.

"Digital screening mammograms offer an improvement in diagnostic accuracy compared with film-screen screening mammograms and they have other advantages such as improved ease of storage and retrieval," said Dr. Haygood. It will be very beneficial if manufacturers of digital equipment, in cooperation with radiologists, can improve equipment and reading techniques to bring interpretation speed for digital mammograms closer to interpretation speed for film-screen mammograms," she added.

Source: American Roentgen Ray Society (ARRS)

For more information: www.arrs.org

Related Content

Videos | Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org

Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration.
compressed breast during mammography.
360 Photos | 360 View Photos | April 16, 2019
A 360 view of a simulated breast compression for a...
iCAD Highlighting ProFound AI for Tomosynthesis at 2019 SBI Annual Symposium
News | Computer-Aided Detection Software | April 04, 2019
iCAD announced it will present its latest artificial intelligence (AI) software solution for digital breast...
Ikonopedia Introduces Automated Combined Reporting Package at SBI
News | Mammography Reporting Software | April 04, 2019
Ikonopedia will introduce its new Automated Combined Reporting package at the 2019 Society of Breast Imaging/American...
Konica Minolta Highlights New Exa Mammo Features at SBI/ACR Breast Imaging Symposium
News | Breast Imaging | April 03, 2019
Konica Minolta Healthcare Americas Inc. will highlight new features of Exa Mammo, a picture archiving and communication...
A smart algorithm developed by iCAD

A smart algorithm developed by iCAD outlines and scores a suspicious lesion seen in an image created using digital breast tomography. Displayed is the probability calculated by the algorithm that the outlined area includes a cancerous lesion. Image courtesy of Emily Conant, M.D.

Feature | Artificial Intelligence | April 03, 2019 | Greg Freiherr
  Editor's Note: This article was updated following the SBI symposium.  
Lunit Showcases AI Solution for Breast Cancer at SBI 2019
News | Artificial Intelligence | April 02, 2019
Medical artificial intelligence (AI) startup Lunit announced its attendance at the Society of Breast Imaging (SBI) 2019...