1. Massachusetts General Hospital Receives NIH Grant for Blood Flow-Based Guidance and Diagnostics Using OCT

    Massachusetts General Hospital Receives NIH Grant for Blood Flow-Based Guidance and Diagnostics Using OCT

    Massachusetts General Hospital Receives a 2017 NIH Grant for $173,504 for Blood Flow-Based Guidance and Diagnostics Using OCT. The principal investigator is Nestor Uribe-Patarroyo. The program began in 2017 and ends in 2021. Below is a summary of the proposed work.

    Diseases diagnosed with assessment of blood flow account for 29% of deaths in the US and are leading causes of premature morbidity, including visual disorders which carry an economic burden of $35 billion per year. The heart disease with the most impact on public health is coronary artery disease (CAD); more than one million percutaneous coronary interventions (PCI) are performed in the US every year. Among visual disorders diabetic retinopathy, macular degeneration and glaucoma are leading causes of blindness in the US and affect 9% of the population over 40. All of these diseases are diagnosed based on the qualitative assessment of blood flow using invasive dye contrast techniques. Extensive clinical trials have shown that guiding PCI based on quantitative blood flow assessment greatly improves the clinical outcome, but blood flow assessment requires catheters which are not integrated with imaging catheters, increasing the intervention duration and therefore risk and cost. Intravascular optical coherence tomography (IV-OCT) has enabled high-resolution structural imaging of coronary arteries and can evaluate the response to PCI. Enabling blood flow quantification, flowmetry, with IV-OCT would provide functional information, critical to guide treatment and improve clinical outcomes. Similarly, OCT has been established as the standard of care in retinal diseases, providing critical structural imaging for diagnosis. It is known that early diagnosis of DR-MD-G requires functional information in the form of flowmetry, detecting changes in blood flow rate before the disease affects the vascular network structure and reducing associated vision loss. This project develops an OCT flowmetry technological platform, OCT-Flow, which relies on the analysis of the stochastic fluctuations of the OCT signal and its relation to the scatterers' velocity field. OCT- Flow will provide accurate flowmetry in complex-amplitude- and intensity-based modes. Upon completion, OCT-Flow will be fully validated and will enable CAD treatment guidance and early eye-dis- ease diagnosis. The long-term impact of OCT-Flow will further include a wide range of clinical and preclinical applications, meeting the large demand for accurate flowmetry for treatment guidance and diagnosis in healthcare.

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