Parascript Offers Greater Accuracy in Detecting Breast Cancer

ParascriptParascript, LLC, an image analysis and pattern recognition technology provider, announced that its AccuDetect® Galileo computer-aided detection software for digital mammography showed better overall performance in detecting breast cancer in a recent retrospective study against iCad's SecondLook. Findings from the study, performed at Maastricht University Medical Center departments of Radiology and Surgery in the Netherlands, with collaboration from University of Udine's Institute of Diagnostic Radiology in Italy, were presented at the annual meeting of the European Society of Radiology, ECR, on March 3.

In the study, digital mammograms of 326 patients were analyzed (117 patients with biopsy proven breast cancer, 209 negative cases) using AccuDetect Galileo 4.0 and SecondLook version 7.2. AccuDetect Galileo significantly increased true positive fraction (TPF) of cancer cases when compared to SecondLook. It demonstrated a per image increase of 6.9% to 72.2%; per case increase of 4.3% to 84.6%. The University of Maastricht team noted that AccuDetect Galileo had a significant performance improvement in detecting soft tissue densities on extremely dense breasts (BI-RADS breast density class 4) over SecondLook, increasing TPF by15.4% to 69.2%. Dense breast tissue can obscure an underlying cancer, or conversely mimic one that does not exist, thus making accurate detection difficult.

"We are encouraged by the results of this new study," said Yuri Prizemin, director of business development for medical imaging for Parascript. "We believe that Parascript CAD advancements in marking malignant lesions on extremely dense breasts will help radiologists to improve breast cancer detection."

Full findings from the study were presented by the study authors M. Lobbes, K. Keymeulen, M. Smidt, R.G. Beets-Tan, J.E. Wildberger, and C. Boetes from Maastricht University and R. Girometti and C. Zuiani from University of Udine in Retrospective Comparison of the Accuracy of Two Different Computer-aided Detection Systems for Detecting Malignant Lesions on Mammography.

About Parascript, LLC
The Parascript image analysis suite extracts meaningful information from images. Employing patented digital image analysis and pattern recognition technologies, the Parascript image analysis suite improves decision quality in medical imaging, postal and payment automation, fraud detection and forms processing operations. Parascript software processes billions of documents per year. Fortune 500 companies, postal operators, major government and financial institutions rely on Parascript products. Organizations include the U.S. Postal Service, Bell + Howell, Fiserv, Elsag, Lockheed Martin, NCR, Siemens and Burroughs.

Most Popular Now

European Artificial Intelligence Act Com…

The European Artificial Intelligence Act (AI Act), the world's first comprehensive regulation on artificial intelligence, enters into force. The AI Act is designed to ensure that AI developed and used...

Patient Safety must be Central to the De…

An EPR system brings together different patient information in one place, making it easier to access for healthcare professionals. This information can include patients' own notes, test results, observations by...

ChatGPT Shows Promise in Answering Patie…

The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the September issue of Urology Practice®...

Survey: Most Americans Comfortable with …

Artificial intelligence (AI) is all around us - from smart home devices to entertainment and social media algorithms. But is AI okay in healthcare? A new national survey commissioned by...

AI Spots Cancer and Viral Infections at …

Researchers at the Centre for Genomic Regulation (CRG), the University of the Basque Country (UPV/EHU), Donostia International Physics Center (DIPC) and the Fundación Biofisica Bizkaia (FBB, located in Biofisika Institute)...

Video Gaming Improves Mental Well-Being

A pioneering study titled "Causal effect of video gaming on mental well-being in Japan 2020-2022," published in Nature Human Behaviour, has conducted the most comprehensive investigation to date on the...

New Diabetes Research Links Blood Glucos…

As part of its ongoing exploration of vocal biomarkers and the role they can play in enhancing health outcomes, Klick Labs published a new study in Scientific Reports - confirming...

Machine learning helps identify rheumato…

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to...

New AI Software could Make Diagnosing De…

Although Alzheimer's is the most common cause of dementia - a catchall term for cognitive deficits that impact daily living, like the loss of memory or language - it's not...

A New AI Tool for Cancer

Scientists at Harvard Medical School have designed a versatile, ChatGPT-like AI model capable of performing an array of diagnostic tasks across multiple forms of cancers. The new AI system, described Sept...

Vision-Based ChatGPT Shows Deficits Inte…

Researchers evaluating the performance of ChatGPT-4 Vision found that the model performed well on text-based radiology exam questions but struggled to answer image-related questions accurately. The study's results were published...

Bayer Launches New Healthy-Aging Ecosyst…

Combining a scientifically formulated dietary supplement, a leading-edge wellness companion app, and a saliva-based a biological age test by Chronomics, Bayer is taking a big step in the emerging healthy-aging...