ICAD - iCAD Highlights Promising Clinical Data Demonstrating Ability to Reduce Breast Interval Cancer Rates and Decrease Recall Rates at ECR 2024; Showcases Additional Platform Offerings | Benzinga
- Clinical evidence demonstrates ProFound Detection's AI may help reduce breast interval cancer (IC) rates and decrease recall rates without additional false negatives
- Findings reveal substantially lower radiology reading workload
- Detection of Breast Arterial Calcification (BAC) by ProFound Heart Health could serve as biomarker to evaluate broader cardiovascular disease in women
NASHUA, N.H., Feb. 28, 2024 (GLOBE NEWSWIRE) -- iCAD, Inc. (NASDAQ:ICAD) a global leader in clinically proven AI-powered solutions that enable medical providers to accurately and reliably detect cancer earlier and improve patient outcomes, will highlight scientific presentations, including an award-winning poster at the European Congress of Radiology (ECR) annual meeting in Vienna, Austria, Feb 28 – March 3, 2024. The Company also announced it will highlight a new release for its AI-powered ProFound Detection solution while showcasing its full Breast Health Suite in booth X1 AI-35.
"The data presented at ECR demonstrate the real-world ability to improve efficiency and accuracy in mammography breast screening—from reducing workloads without compromising accuracy to potentially reducing interval cancer rates and expediting diagnosis for true positive cases. These findings underscore ProFound AI's transformative power to improve breast healthcare," said Dana Brown, president and CEO of iCAD.
"Furthermore, we are thrilled to showcase new workstation features to improve the readability of iCAD's primary solution, ProFound Detection," continued Brown. "This includes limiting lesion marks to the three highest-scoring lesions, which may be color-coded based on lesion score. Additionally, the ProFound Scorecard may be color-coded based on case score categories, with options for score range fine-tuning based on a facility's real-world data. For radiologists, these latest enhancements further improve and facilitate their reading of mammograms."
New Research
The following three oral and award-winning poster presentations highlight the clinical research being presented at ECR 2024. Detailed information may be found here.
- Friday, March 1, 8:00 – 9:00 am, RPS1202 – Adding Artificial Intelligence (AI) Case Malignancy Scoring in a Breast Screening Program to Reduce Screen-Reading Workload: A Retrospective Study. The study conducted by A. Nitrosi et al. at the Reggio Emilia Breast Screening Program in Italy aimed to assess the integration of iCAD's artificial intelligence mammography case malignancy scoring (AI-CMS) into a breast screening program to alleviate screen-reading workload without compromising accuracy. Analyzing data from 31,747 screening exams, including 92 proven tumors, the study simulated two integrated AI and human reading protocols (ProFound AI 2D system). Results showed that implementing ProFound AI-CMS could substantially reduce the number of human readings and workload by 24.8% to 30.6%, with a modest improvement in recall rate and no increase in false negatives observed with 10% and 15% Case Score thresholds.
- Sunday, March 3, 9:30 – 11:00 am, RPS2305 – Retrospective Evaluation of Interval Breast Cancer: Can the Number of Interval Carcinomas be Reduced Utilizing AI Diagnostic Software? In this study conducted by Jonas Subelack et al., researchers from the University of St. Gallen and Krebsliga Ostschweiz in Switzerland and Radiologie am Theater in Germany assessed whether iCAD's ProFound AI could help reduce interval carcinomas (ICs). Analyzing data from 151,245 screening mammograms between 2010 and 2019, the study identified 264 ICs where cancer was detected within 24 months after screening that was considered normal. Expected results anticipate improved IC detection rates with ...