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

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...

Brain Imaging may Identify Patients Like…

By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from...