Reading digital breast tomosynthesis (DBT) cases means being able to accurately interpret extensive amounts of data. Clinicians are confronted by the workload and time required to accurately read the data contained in DBT cases.
ProFound AI® is raising the bar on detection performance. It is a high-performing, concurrent-read, cancer-detection and workflow solution that rapidly and accurately analyzes each tomosynthesis image, detecting both malignant soft tissue densities and calcifications with unrivaled accuracy.
8% improvement in sensitivity
7% reduction in rate of recalls
52.7% reduction in reading time for radiologists
Up to 10% improvement in specificity performance
Up to 1% improvement in sensitivity
Up to 40% faster processing
The ProFound AI algorithm rapidly and accurately analyzes each individual image or slice and identifies potentially malignant lesions. Trained with one of the largest available 3D image datasets, ProFound AI provides radiologists with crucial information, such as lesion Certainty of Finding and Case Scores, which assists in prioritizing caseload, clinical decision-making and may help to reduce physician burnout.
ProFound AI for Digital Breast Tomosynthesis (DBT) is FDA cleared to offer superior performance and sensitivity to support radiologists in the fight against breast cancer with an unrivaled accuracy of detection.
Assists in early detection, which can lead to improved outcomes
Reduces false positives/recalls
Improves detection accuracy
Enhances patient care with improved detection technology
Improves workflow efficiency
Increases diagnostic confidence
Supports mixed tomosynthesis environments
The ProFound AI algorithm is trained to detect malignant soft tissue densities and calcifications. Certainty of Finding and Case Scores are assigned to each detection and each case respectively. Certainty of Finding and Case Scores are relative scores computed by the ProFound AI algorithm and represent the algorithm’s confidence that a detection or case is malignant.
The scores are represented on a 0% to 100% scale. A higher score indicates a higher level of confidence in the malignancy of the detection or case. The Certainty of Finding and Case Scores serve as a guide to the interpreting radiologist to aid in determining if a suspicious finding or case needs further workup.
Certainty of Finding Scores are assigned to each detection identified by the ProFound AI algorithm. The score represents how confident the algorithm is that the detection is malignant. Certainty of Findings scores assist in prioritizing caseload and clinical decision-making.
85% Certainty of Finding48% Certainty of Finding
97% Certainty of Finding43% Certainty of Finding
Case Scores are assigned to each case by the ProFound AI algorithm. The Case Score represents how confident the algorithm is that a case is malignant. All cases, including those without detections, will be assigned a Case Score. Clinicians may use this Case Score information to gain a sense of case complexity, which may be useful for prioritizing the reading work list if supported by the specific work list provider.
iCAD’s product portfolio offers innovative solutions to support breast cancer detection, measure breast density, assess personalized risk, and provide targeted radiation therapy. Our technologies offer clinically proven benefits to clinicians and patients, and are designed to optimize efficiency, enhance the patient experience, and improve outcomes.
ProFound AI for DBT runs on the industry-leading PowerLook® server platform with NVIDIA® Graphical Processing Units (GPU), the latest in powerful GPU technology. PowerLook is a flexible and reliable DICOM platform that easily integrates with image modalities, mammography review workstations, PACS, and image storage systems. Leveraging the latest in GPU technology, the algorithm can rapidly process a 4-view tomosynthesis case, ensuring results are available to radiologists in the most efficient manner.
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