Katherine Hall, M.D.

Katherine Hall, M.D.


Located in a spacious 25,000-square-foot facility on the Presbyterian Hospital of Dallas campus, Southwest Diagnostic Imaging Center is one of the largest freestanding imaging centers in the Dallas-Fort Worth area. Since 1985, the facility has provided thousands of patients from Texas and across the nation with the highest standard of service and a patient-centered approach to care.

 

Leading the Way

While the adoption of breast tomosynthesis is expanding, so is the innovative technology that supports these solutions. Southwest Diagnostic Imaging Center has been paving the way, equipping its radiologists with the most advanced imaging solutions for more than 30 years, and has now added artificial intelligence solution PowerLook Tomo Detection to their women’s breast health program.

To maintain competitive advantage, transitioning from 2-D to 3-D mammography, or digital breast tomosynthesis (DBT), was the imaging center’s next step. However, with nearly 12,000 mammograms conducted each year, finding a cutting-edge solution that ensured both accuracy and efficiency was crucial.

“Previously running a facility that used DBT for many years, I knew first-hand the incredible benefits and challenges radiologists face with the technology,” said Katherine Hall, M.D., radiologist and co-director of mammography, east division, at Southwest Diagnostic Imaging Center. “While I was eager to make the switch from 2-D to DBT to better serve our patients, I also expected some internal resistance, as going from reading just a few images in 2-D to reading hundreds of images per patient with DBT can be both tiresome and time-intensive for radiologists.”

 

Conducting the Search

In May 2016 Southwest Diagnostic Imaging Center conducted an extensive review of all existing tomosynthesis technologies on the market, ultimately deciding to implement GE Healthcare’s DBT solution. In doing so, the facility was also able to take advantage of iCAD’s PowerLook Tomo Detection.

Specifically, PowerLook Tomo Detection reduces the need to scroll through hundreds of images. Rather, it utilizes deep learning to pick up the highest densities and areas of distortion on a mammogram, extracts them and blends them onto a synthetic 2-D image.

“Instead of looking at 80-90 planes or more per projection for those patients with large breasts, PowerLook Tomo Detection leads me directly to the images that are most critical to review,” said Hall. “I am then able to click on that area in the preview and the solution takes me directly to the location needing further evaluation. In fact, any suspicious masses or distortions on the image are so clear that they literally pop out at you.”

 

Reducing Read Time, Improving Workflow

After four months, Southwest Diagnostic Imaging Center’s radiologists are reaping the benefits of PowerLook Tomo Detection. In fact, not only did PowerLook Tomo Detection help Hall move to an all 3-D protocol, she’s also cut down her reading time anywhere from 25-50 percent. “We want to ensure quality care for our patients and with the adoption I feel confident to utilize a 3-D only protocol. This is a benefit to our patients as it is a reduction in radiation dose exposure,”she said.

“As radiologists, when we’re amassed with information and are in a state of image overload, we all need help seeing,” continued Hall. “PowerLook Tomo Detection has been a game changer. It helps me collimate and focus on what I really need to look at and evaluate, which is what I rely on to provide my patients with the best possible care.”

Case study supplied by iCAD.


Related Content

News | FDA

Dec. 8, 2025 — Lunit, a provider of AI for cancer diagnostics and precision oncology, has submitted a 510(k) premarket ...

Time December 08, 2025
arrow
News | Breast Imaging

Dec. 01, 2025 — DeepHealth, a wholly owned subsidiary of RadNet, Inc., has launched the DeepHealth Breast Suite,2 an end ...

Time December 04, 2025
arrow
News | Women's Health

Dec. 1, 2025 — ScreenPoint Medical has completed a commercial agreement making its Transpara breast-imaging AI portfolio ...

Time December 03, 2025
arrow
News | Mammography

Nov. 30, 2025 — At RSNA 2025, Siemens Healthineers will introduce new capabilities for its Mammomat B.brilliant ...

Time December 02, 2025
arrow
News | RSNA 2025

Dec. 2, 2025 — Lunit, a provider of AI for cancer diagnostics and precision oncology, will present 14 studies at RSNA ...

Time December 02, 2025
arrow
News | Women's Health

Dec. 1, 2025 — A study of data from seven outpatient facilities in the New York region found that 20-24% of all the ...

Time December 02, 2025
arrow
News | Mammography

Nov. 26, 2025 — GE HealthCare has announced it received FDA Premarket Authorization for Pristina Recon DL, an advanced ...

Time November 29, 2025
arrow
News | Artificial Intelligence

Nov. 25, 2025 – Medical imaging AI company Avicenna.AI has announced a strategic partnership with Ferrum, an AI ...

Time November 25, 2025
arrow
News | Ultrasound Imaging

Nov. 12, 2025 — GE HealthCare and DeepHealth, Inc., a wholly owned subsidiary of RadNet, Inc., have announced their ...

Time November 20, 2025
arrow
News | Breast Imaging

Nov. 17, 2025 — RadNet, Inc. and its wholly owned subsidiary, DeepHealth have announced results from the largest real ...

Time November 17, 2025
arrow
Subscribe Now