ADAC Laboratories, a manufacturer of nuclear medicine and radiation therapy planning systems, believes it is tapping into a new market for CT simulation products with the introduction of its SmartSim package. SmartSim is an integrated CT simulation and
ADAC Laboratories, a manufacturer of nuclear medicine and radiation therapy planning systems, believes it is tapping into a new market for CT simulation products with the introduction of its SmartSim package.
SmartSim is an integrated CT simulation and radiation therapy planning package that speeds up the radiation treatment planning process. The SmartSim package is used with ADACs Pinnacle3 radiation therapy planning system.
SmartSim software reconstructs data gathered from CT scans into 3-D images and digitally reconstructed radiographs. This allows radiation oncologists to more accurately pinpoint the location, size, and shape of tumors. Clinicians are then able to determine optimal radiation beam placements to treat cancerous cells while minimizing the risk to nearby healthy tissue, the firm reports. The program uses a single database for simulation and planning.
Shipments of SmartSim began this month. The company expects the market for CT stimulation products to reach about $100 million this year as radiation oncologists use the technology in place of conventional x-ray simulation.
Study Reveals Benefits of Photon-Counting CT for Assessing Acute Pulmonary Embolism
April 23rd 2024In comparison to energy-integrating detector CT for the workup of suspected acute pulmonary embolism, the use of photon-counting detector CT reduced radiation dosing by 48 percent, according to newly published research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
AI Adjudication Bolsters Chest CT Assessment of Lung Adenocarcinoma
April 11th 2024The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.