Technology | October 27, 2010

Software Records Pulmonary Angiography Contrast Dose

P3T PA (pulmonary angiography), from Medrad, is a personalized contrast-dosing software that increases the percentage of diagnostic-quality CT pulmonary angiography (CTPA) studies to rule out pulmonary embolism (PE).

Researchers have concluded that suboptimal CTPA interpretations to rule out PE can substantially impact healthcare resource utilization and increase healthcare costs. With 30 percent of their CTPA studies showing suboptimal results, these patients were subjected to additional imaging studies and/or received medical therapy. Some patients were admitted to the hospital for further PE diagnosis considerations. None of the additional treatments or imaging modalities yielded a diagnosis of PE.

P3T PA fits into the established workflow and offers flexibility and efficiency in optimizing each patient’s contrast dose -- especially when operating higher-speed scanners. The P3T algorithm tailors each patient’s contrast protocol based on technologists’ touch-screen responses to unique clinical concerns, study requirements and the scanning equipment used.

It is the third module in the company’s P3T software line, which also includes cardiac and abdominal CT modules that automate each patient’s optimal contrast dose for studies addressing these areas of the anatomy.

For more information: www.medrad.com

Related Content

Study Points to Need for Performance Standards for EHR Usability and Safety
News | Electronic Medical Records (EMR) | July 18, 2018
A novel new study provides compelling evidence that the design, development and implementation of electronic health...
Guerbet, IBM Watson Health Partner on Artificial Intelligence for Liver Imaging
News | Clinical Decision Support | July 10, 2018
Guerbet announced it has signed an exclusive joint development agreement with IBM Watson Health to develop an...
FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Technology | Cardiovascular Ultrasound | June 19, 2018
Cardiovascular imaging artificial intelligence (AI) company Bay Labs announced its EchoMD AutoEF software received 510(...
News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

Feature | Information Technology | June 05, 2018 | By Greg Freiherr
A regional image exchange system is saving lives and reducing radiology costs in Maryland by improving the efficiency
Overlay Init