Dear Advanced Visualization Insider,
Assessing response to therapy is a challenging problem in the treatment of liver cancer patients; however, researchers from Johns Hopkins Hospital have developed a 3D quantification tool that could help. The group's software can accurately quantify the extent of liver tumor necrosis from MRI after initial chemoembolization.
It can also predict patient survival by identifying responders and nonresponders to treatment, according to the group. Learn how in this issue's Insider Exclusive, which you can access before our regular members.
In other news in the Advanced Visualization Digital Community, a Canadian research team has created a software algorithm that can detect changes on follow-up brain MRI studies. The software detects clinical changes while ignoring changes due to patient position and other acquisition artifacts, according to Varvara Nika of York University in Toronto. Get the details by clicking here.
Despite a large body of research showing the benefits of computer-aided detection (CAD) software in a variety of clinical applications, clinical adoption has been disappointingly slow and largely confined to mammography. That will change, however, if next-generation CAD software can deliver efficiency gains, interactivity, and algorithms that are personalized for patients, according to Dr. Eliot Siegel of the University of Maryland.
How can this be achieved? Click here to learn all about Siegel's vision for the future of CAD.
Speaking of CAD, a team from the University of Michigan has developed a novel use of CAD technology to address the problem of retained surgical items. The researchers believe that the combination of a microtag placed on potentially retained foreign objects during surgery and their internally developed CAD software could detect more than 99% of retained surgical items. Find out more by clicking here.
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