Commercialization of the Shutter-Speed Model for Dynamic MRI in Cancer Diagnosis

DESCRIPTION provided by applicant Despite remarkable advances in cancer detection and treatment the disease continues to be a leading cause of mortality in the US accounting for of all deaths in Cancer of the breast and prostate are by far the most common forms diagnosed in US women and men respectively and together are expected to represent more than prostate breast cancers new cases and more than deaths this year Since the serious overtreatment of each disease is such a significant issue improved methods for minimally invasive detection and therapy monitoring are badly needed Dynamic contrast enhanced DCE MRI offers substantial promise in this regard It is a technique acquiring a time series of T weighted MR images before during and after intravenous injection of a paramagnetic contrast reagent CR The benefits of quantifying the DCE MRI time series using a pharmacokinetic model have gained significant interest in recent years and the resulting parametric maps are increasingly important in cancer diagnostics and treatment evaluation Recent studies demonstrate that quantitative DCE MRI has the potential to improve accuracy in cancer detection and provide earlier and more accurate evaluation of cancer response to therapy The overall goal of this SBIR Fast Track project is to develop and validate a commercial diagnostic software application based on the andquot Shutter Speed Modelandquot SSM for quantitative DCE MRI The SSM is a novel algorithm that properly accounts for the finite kinetics of water exchange between tissue compartments This is important because a unique aspect of DCE MRI is that the CRs are detected indirectly via their effect on the H O MR signal CR is the tracer molecule but water is the signal molecule The SSM approach naturally embraces this feature and has been shown to deliver more reliable discrimination between benign and malignant tissue than the standard tracer DCE pharmacokinetic model PUBLIC HEALTH RELEVANCE This proposal will develop a commercial software package that uses the Shutter Speed Dynamic Contrast Enhanced MRI method to aid physicians in breast and prostate cancer diagnosis presently two of the leading causes of death in the US The successful outcome of this effort will give physicians greater insight into disease stage and progression leading to improved patient care and a reduction in cost to the healthcare system