# Blood flow-based guidance and diagnostics using OCT

> **NIH NIH K25** · MASSACHUSETTS GENERAL HOSPITAL · 2021 · $128,304

## Abstract

7. Project Summary/Abstract
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 bil-
lion 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 ev-
ery year. Among visual disorders diabetic retinopathy, macular degeneration and glaucoma are lead-
ing causes of blindness in the US and affect 9% of the population over 40. All of these diseases are di-
agnosed 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 in-
tegrated with imaging catheters, increasing the intervention duration and therefore risk and cost. In-
travascular 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 func-
tional information in the form of flowmetry, detecting changes in blood flow rate before the disease af-
fects the vascular network structure and reducing associated vision loss.
This project develops an OCT flowmetry technological platform, OCT-Flow, which relies on the analy-
sis 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 com-
pletion, 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.

## Key facts

- **NIH application ID:** 10424917
- **Project number:** 3K25EB024595-04S1
- **Recipient organization:** MASSACHUSETTS GENERAL HOSPITAL
- **Principal Investigator:** Nestor Uribe-Patarroyo
- **Activity code:** K25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $128,304
- **Award type:** 3
- **Project period:** 2017-08-01 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10424917

## Citation

> US National Institutes of Health, RePORTER application 10424917, Blood flow-based guidance and diagnostics using OCT (3K25EB024595-04S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10424917. Licensed CC0.

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