Technology | Computer-Aided Detection Software | December 07, 2016

System based on deep learning algorithms designed for concurrent reading to reduce reader review time while preserving diagnostic accuracy

December 7, 2016 — QView Medical Inc. announced that it received U.S. Food and Drug Administration (FDA) approval in early November for QVCAD, a next-generation computer-aided detection (CAD) system for automated breast ultrasound (ABUS) based on deep learning algorithms.

Unlike existing CAD systems, which are used as a second read, QVCAD is the first FDA premarket approval (PMA)-approved CAD system for concurrent reading. QVCAD presents the CAD results, including a C-thru Navigator image and CAD marks indicating regions of interest, simultaneously with the original ABUS image. The QVCAD pivotal reader study submitted in the PMA application demonstrated that QVCAD reduces reader review time significantly while preserving the accuracy of diagnosis.

Clinical studies have shown that ABUS can effectively detect mammography-occult cancers in dense breasts. ABUS systems can generate up to 2,000 2-D ultrasound images per exam compared with only four images for a mammography exam. Due to the large number of images generated by ABUS systems, the reading time improvement of QVCAD is critical for the adoption of breast ultrasound screening.

Physicians, researchers and radiologists in clinical practice across North America, Europe and Asia commented on the approval of the QVCAD system as an adjunct to ABUS in breast cancer screening.

"Scientific studies carried out both in the USA and in Europe, published in peer reviewed medical journals, have proved that adding ABUS to FFDM [full-field digital mammography] in screening asymptomatic women with dense breast tissue improves the detection of invasive breast cancer cases significantly,” said László Tabár, M.D., FACR, professor emeritus of radiology, Uppsala University, Sweden.

Reading the large number of ABUS images can be both time-consuming and often distracting. It can be compared to paging through six books (six acquisitions). QView CAD provides a single image of each acquisition ("book") by seeing through all the pages and automatically highlighting the entire 3-D breast in a single image, pointing out the lesion and its location accurately. This makes reading much shorter and more focused. The combination of QVCAD added to ABUS will revolutionize our way of screening asymptomatic women with dense breasts," he added.

"From my experience with QVCAD, I believe it will be a much-needed aid in shortening the learning curves of new ABUS users as well as increasing their confidence in interpreting ABUS exams. These critical elements will encourage adoption of this very important adjunctive screening modality," said Susan Roux, M.D., medical director, Carol Hatton Breast Care Center, Monterey, Calif.

For more information: www.qviewmedical.com


Related Content

News | Breast Imaging

July 29, 2024 — Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, announced the ...

Time July 29, 2024
arrow
News | Breast Imaging

July 29, 2024 — iCAD, Inc., a global leader in clinically proven AI-powered cancer detection solutions, announced a ...

Time July 29, 2024
arrow
News | Radiology Business

July 25, 2024 — The radiology gender gap is decreasing, but there remains work to be done, according to an editorial ...

Time July 25, 2024
arrow
Videos | Breast Imaging

Don't miss ITN's latest "One on One" video interview with AAWR Past President and American College of Radiology (ACR) ...

Time July 24, 2024
arrow
News | RSNA

July 23, 2024 — Professional registration is open for RSNA 2024, the world’s largest radiology forum. This year’s theme ...

Time July 23, 2024
arrow
News | Flat Panel Displays

July 17, 2024 — LG Electronics (LG) is accelerating its B2B medical device business, expanding its lineup of diagnostic ...

Time July 17, 2024
arrow
Feature | Imaging Technology News - ITN

Be sure to check out the latest digital edition of Imaging Technology News (ITN), featuring the Mobile C-arm Systems ...

Time July 11, 2024
arrow
News | Artificial Intelligence

July 9, 2024 — Lunit, a provider of Artificial Intelligence (AI)-powered solutions for cancer diagnostics and ...

Time July 09, 2024
arrow
Feature | Women's Health | By Jordan Bazinsky

Investing in women’s health should not merely be a metric on the equity dashboard — it should drive policy and tactical ...

Time July 08, 2024
arrow
News | Prostate Cancer

July 5, 2024 — Lantheus Holdings, Inc., a leading radiopharmaceutical-focused company committed to enabling clinicians ...

Time July 05, 2024
arrow
Subscribe Now