Non-invasive assessment and therapy guidance for coronary artery disease in diffuse and tandem lesions

Abstract

A method and system for non-invasive assessment and therapy planning for coronary artery disease from medical image data of a patient is disclosed. Geometric features representing at least a portion of a coronary artery tree of the patient are extracted from medical image data. Lesions are detected in coronary artery tree of the patient and a hemodynamic quantity of interest is computed at a plurality of points along the coronary artery tree including multiple points within the lesions based on the extracted geometric features using a machine learning model, resulting in an estimated pullbackcurve for the hemodynamic quantity of interest. Post-treatment values for the hemodynamic quantity of interest are predicted at the plurality of points along the coronary artery tree including the multiple points within the lesions for each of one or more candidate treatment options for the patient, resulting in a respective predicted post-treatment pullback curve for the hemodynamic quantity of interest for each of the one or more candidate treatment options. A visualization of a treatment prediction for at least one of the candidate treatment options is displayed.

Description

[0001] This application claims the benefit of U.S. Provisional Application No. 62 / 539575, filed August 1, 2017, and European Patent Application No. 17465533.2, filed August 1, 2017, the disclosures of which are incorporated herein by reference in their entirety. Background technique [0002] The present invention relates to the non-invasive assessment and treatment planning of coronary artery disease based on medical images, and more particularly to the non-invasive assessment of the hemodynamic significance of diffuse and / or tandem lesions in coronary arteries and to the Guidance on the optimal treatment of coronary artery disease. [0003] Cardiovascular disease (CVD) is the leading cause of death worldwide. Among the various CVDs, coronary artery disease (CAD) accounts for nearly 50% of deaths. CAD is usually caused by lesions in the coronary arteries, such as localized narrowing or narrowing. One treatment option for treating CAD is percutaneous coronary intervention (PC...

AI Technical Summary

Problems solved by technology

Extended procedure time increases patient risk as well as cost

Furthermore, pull-back curve analysis by itself does not provide an indication of risk for short- or long-term clinical outcomes because it ignores other effects that determine vulnerability to coronary lesions

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