News | Computer-Aided Detection Software | November 10, 2017

Kansas City Radiology Center Employs iCAD PowerLook Tomo Detection for DBT

Technology utilizes advanced artificial intelligence to improve speed and accuracy in the detection of breast cancer

Kansas City Radiology Center Employs iCAD PowerLook Tomo Detection for DBT

November 10, 2017 — Imaging for Women, a leading radiology center in Kansas City, Mo., announced it is now using iCAD’s PowerLook Tomo Detection, an advanced artificial intelligence (AI) technology, to support faster and more accurate detection of breast cancer. PowerLook Tomo Detection is a concurrent-read, cancer detection solution for 3-D digital breast tomosynthesis (DBT).

In a U.S. clinical study conducted in 2016, radiologists were able to decrease reading time by up to 37 percent, with an average reduction of 29 percent, when using PowerLook Tomo Detection, with no statistically significant impact on sensitivity, specificity or recall rate.

“At Imaging for Women, we are dedicated to bringing our patients and community the most advanced technologies available today to support breast cancer detection,” said Phyllis Fulk, administrator, Imaging for Women. “With iCAD’s PowerLook Tomo Detection, we are now able to take screening and diagnostic mammography to the next level, making it possible to improve detection with greater accuracy and more efficiency, without compromising clinical performance.”

Unlike 2D full-field digital mammography that typically produces four images per breast exam, tomosynthesis exams produce hundreds of images, often requiring radiologists to spend a significant amount of time reviewing and interpreting images. iCAD’s PowerLook Tomo Detection utilizes a trained algorithm developed through deep learning that automatically analyzes each plane in this vast data set, supporting radiologists in identifying questionable areas with greater speed and precision. Suspicious areas identified are then blended into a 2-D synthetic image to provide radiologists with a single enhanced image.

“Our radiology team is thrilled with the unique capabilities and improved workflow iCAD’s AI breast cancer detection technology provides, said Mark Malley, M.D., chief of radiology, Imaging for Women. “I have a higher level of security that I haven’t missed any significant findings with the iCAD for tomosynthesis. This is a helpful tool in our diagnostic toolbox.”

For more information: www.icadmed.com

Related Content

Philips Launches IntelliSpace Discovery Research Platform at RSNA
Technology | Artificial Intelligence | November 20, 2018
Ahead of the 2018 Radiological Society of North America Annual Meeting (RSNA), Nov. 25-30 in Chicago, Royal Philips...
Bay Labs and Northwestern Medicine Enroll First Patient in AI Echocardiography Study
News | Cardiovascular Ultrasound | November 19, 2018
Medical artificial intelligence (AI) company Bay Labs and Northwestern Medicine announced that the first patient has...
QView Medical Showcases QVCAD for ABUS Exams at RSNA 2018
News | Ultrasound Women's Health | November 19, 2018
QView Medical will showcase QVCAD, the first U.S. Food and Drug Administration (FDA)-approved artificial intelligence (...
Lunit Unveiling AI-Based Mammography Solution at RSNA 2018
News | Mammography | November 15, 2018
Medical artificial intelligence (AI) software company Lunit will be returning to the 104th Radiological Society of...
Breast Density Advocate Nancy M. Cappello Passes Away

Nancy Cappello. Image courtesy of AreYouDense.org.

News | Breast Density | November 15, 2018 | Jeff Zagoudis, Associate Editor
Imaging Technology News extends its condolences to the family, friends and colleagues of Nancy M. Cappello, Ph.D., who...
Life Image and Mendel.ai Bringing Artificial Intelligence to Clinical Trial Development
News | Artificial Intelligence | November 15, 2018
Life Image and Mendel.ai announced a new strategic partnership that will facilitate the adoption and enhancement of...
Artificial Intelligence Predicts Alzheimer's Years Before Diagnosis
News | Neuro Imaging | November 14, 2018
Artificial intelligence (AI) technology improves the ability of brain imaging to predict Alzheimer’s disease, according...
Merit Medical Completes Acquisition of Cianna Medical
News | Women's Health | November 14, 2018
Disposable device manufacturer Merit Medical Systems Inc. announced the closing of a definitive merger agreement to...
Researchers Awarded 2018 Canon Medical Systems USA/RSNA Research Grants
News | Radiology Imaging | November 13, 2018
The Radiological Society of North America (RSNA) Research & Education (R&E) Foundation recently announced the...