Rajakumar Nagarajan PhD, Presenter: Nothing to Disclose

Daniel Jason Aaron Margolis MD, Abstract Co-Author: Research Grant, Siemens AG

Steven Satish Raman MD, Abstract Co-Author: Consultant, Bayer AG Consultant, Covidien AG

Michael Albert Thomas PhD, Abstract Co-Author: Nothing to Disclose

Multiparametric magnetic resonance imaging techniques are increasingly being used to address bottlenecks in prostate cancer patient management. These techniques yield qualitative, semi-quantitative and fully quantitative biomarkers that reflect on the underlying biological status of a tumor. 1. Teach the concept of prostate MRI and MRSI. 2. Demonstrate the importance of functional and anatomic information in prostate. 3. Show clinical applications that benefit from multiparametric MRI. 4. This functional and anatomical MRI and MRSI guide urologists and radiotherapists so that they may be used for individual patient decision making.  

CONTENT ORGANIZATION 1. Introduction of T2 Weighted MRI (T2W), Diffusion weighted imaging (DWI), Dynamic contrast enhanced (DCE) MRI and Magnetic Resonance Spectroscopic Imaging (MRSI) of Prostate. 2.  Demonstration of MRI and MRSI sequences used in Prostate Images. 3. Data interpretation of T2W, DWI, DCE-MRI and MRSI. 4. Comparison of sensitivity, specificity, positive predictive value, negative predictive value and accuracy of each modality.  

http://abstract2.rsna.org/uploads/2014/14007386/14007386_13h7.pdf

Nagarajan, R, Margolis, D, Raman, S, Thomas, M, How Accurately Multiparametric MRI Detect Prostate Cancer?.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14007386.html