Featured Research

from universities, journals, and other organizations

Computer-based Model Helps Radiologists Diagnose Breast Cancer

Date:
April 13, 2009
Source:
American Roentgen Ray Society
Summary:
Radiologists have developed a computer-based model that aids them in discriminating between benign and malignant breast lesions.

Radiologists have developed a computer-based model that aids them in discriminating between benign and malignant breast lesions, according to a study performed at the University Of Wisconsin School of Medicine, Madison, WI.

Related Articles


The model was developed by a multidisciplinary group, including radiologists and industrial engineers, led by Elizabeth S. Burnside, MD, Oguzhan Alagoz, PhD, and Jagpreet Chhatwal, PhD.

“The computer-based model was designed to help the radiologist calculate breast cancer risk based on abnormality descriptors like mass shape; mass margins; mass density; mass size; calcification shape and distribution,” said Elizabeth S. Burnside, MD, and Jagpreet Chhatwal, MD, lead authors to the study.

“When the radiologist combined his/her assessment with the computer model the radiologist was able to detect 41 more cancers than when they didn’t use the model. The model was created based upon findings of 48,744 mammograms in a breast imaging reporting database and found that the use of hormones and a family history of breast cancer did not contribute significant predictive ability in this context,” they said.

“One of the important roles of a radiologist is to interpret observations made on mammograms and predict the likelihood of breast cancer. However, assessing the influence of each observation in the context of an increasing number of complex risk factors is difficult for the human brain. In this study, we developed a computer model that is designed to aid a radiologist in breast cancer risk prediction to improve accuracy and reduce variability,” said Drs. Burnside and Chhatwal.

“Our model has the potential to avoid delay in breast cancer diagnosis and reduce the number of unnecessary biopsies, which would benefit many patients. It may also encourage patients to get more actively involved in the decision-making process surrounding their breast health,” they said.

“Though much work remains to be done to validate our system for clinical care, it represents a promising direction that has the potential to substantially improve breast cancer diagnosis,” said Drs. Burnside and Chhatwal.

This study appears in the April issue of the American Journal of Roentgenology.


Story Source:

The above story is based on materials provided by American Roentgen Ray Society. Note: Materials may be edited for content and length.


Journal Reference:

  1. Chhatwal et al. A Logistic Regression Model Based on the National Mammography Database Format to Aid Breast Cancer Diagnosis. American Journal of Roentgenology, 2009; 192 (4): 1117 DOI: 10.2214/AJR.07.3345

Cite This Page:

American Roentgen Ray Society. "Computer-based Model Helps Radiologists Diagnose Breast Cancer." ScienceDaily. ScienceDaily, 13 April 2009. <www.sciencedaily.com/releases/2009/04/090403130947.htm>.
American Roentgen Ray Society. (2009, April 13). Computer-based Model Helps Radiologists Diagnose Breast Cancer. ScienceDaily. Retrieved December 17, 2014 from www.sciencedaily.com/releases/2009/04/090403130947.htm
American Roentgen Ray Society. "Computer-based Model Helps Radiologists Diagnose Breast Cancer." ScienceDaily. www.sciencedaily.com/releases/2009/04/090403130947.htm (accessed December 17, 2014).

Share This


More From ScienceDaily



More Health & Medicine News

Wednesday, December 17, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

UN: Up to One Million Facing Hunger in Ebola-Hit Countries

UN: Up to One Million Facing Hunger in Ebola-Hit Countries

AFP (Dec. 17, 2014) Border closures, quarantines and crop losses in West African nations battling the Ebola virus could lead to as many as one million people going hungry, UN food agencies said on Wednesday. Duration: 00:52 Video provided by AFP
Powered by NewsLook.com
When You Lose Weight, This Is Where The Fat Goes

When You Lose Weight, This Is Where The Fat Goes

Newsy (Dec. 17, 2014) Can fat disappear into thin air? New research finds that during weight loss, over 80 percent of a person's fat molecules escape through the lungs. Video provided by Newsy
Powered by NewsLook.com
Flu Outbreak Closing Schools in Ohio

Flu Outbreak Closing Schools in Ohio

AP (Dec. 17, 2014) A wave of flu illnesses has forced some Ohio schools to shut down over the past week. State officials confirmed one pediatric flu-related death, a 15-year-old girl in southern Ohio. (Dec. 17) Video provided by AP
Powered by NewsLook.com
Yoga Could Be As Beneficial For The Heart As Walking, Biking

Yoga Could Be As Beneficial For The Heart As Walking, Biking

Newsy (Dec. 17, 2014) Yoga can help your weight, blood pressure, cholesterol and heart just as much as biking and walking does, a new study suggests. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins