Cargando…

Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images

BACKGROUND: Fractional flow reserve (FFR) is a gold standard to assess the impact of stenosis on the blood flow. The FFR method enhances diagnostic accuracy, lessens the need for stenting, and reduces costs. However, FFR is used in less than 10% of percutaneous coronary intervention (PCI) procedures...

Descripción completa

Detalles Bibliográficos
Autores principales: Sadeghian, Mohammad, Mohammadi, Vahid, Shafiee, Akbar, Babakhani, Hamidreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649163/
https://www.ncbi.nlm.nih.gov/pubmed/34904065
http://dx.doi.org/10.31661/jbpe.v0i0.1160
_version_ 1784610939392229376
author Sadeghian, Mohammad
Mohammadi, Vahid
Shafiee, Akbar
Babakhani, Hamidreza
author_facet Sadeghian, Mohammad
Mohammadi, Vahid
Shafiee, Akbar
Babakhani, Hamidreza
author_sort Sadeghian, Mohammad
collection PubMed
description BACKGROUND: Fractional flow reserve (FFR) is a gold standard to assess the impact of stenosis on the blood flow. The FFR method enhances diagnostic accuracy, lessens the need for stenting, and reduces costs. However, FFR is used in less than 10% of percutaneous coronary intervention (PCI) procedures because it needs pressure wires to measure the distal and proximal pressures and adenosine to create hyperemic conditions. Pressure-wire-based FFR measurement is, therefore, expensive and invasive. OBJECTIVE: This study aims to introduce a new approach on the basis of 3D coronary angiography and the Thrombolysis in Myocardial Infarction (TIMI) frame count for fast computation of FFR in patients with coronary artery disease. MATERIAL AND METHODS: In this simulation study, we herein introduce Non-Invasive Flow Ratio drawing upon CFD to measure FFR based on coronary angiography images with less run time. In this study, 3D geometry was created based on coronary angiography images. The mean volumetric flow rate was calculated using the TIMI frame count. FFR calculated based on CFD was compared with pressure-wire-based FFR and NiFR was calculated in 85 patients. RESULTS: The NiFR (r = 0.738, P< 0.001) exhibited a strong correlation with pressure-wire-based FFR. The result indicated that FFR was higher than 0.8 in the arteries with non-signif­icant stenosis and lower than 0.8 in the arter­ies with significant stenosis. CONCLUSION: The computational simulation of FFR and hemodynamic parameters such as pressure drop is a safe, efficient, and cost-effective method to evaluate the severity of coronary stenosis.
format Online
Article
Text
id pubmed-8649163
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Shiraz University of Medical Sciences
record_format MEDLINE/PubMed
spelling pubmed-86491632021-12-12 Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images Sadeghian, Mohammad Mohammadi, Vahid Shafiee, Akbar Babakhani, Hamidreza J Biomed Phys Eng Original Article BACKGROUND: Fractional flow reserve (FFR) is a gold standard to assess the impact of stenosis on the blood flow. The FFR method enhances diagnostic accuracy, lessens the need for stenting, and reduces costs. However, FFR is used in less than 10% of percutaneous coronary intervention (PCI) procedures because it needs pressure wires to measure the distal and proximal pressures and adenosine to create hyperemic conditions. Pressure-wire-based FFR measurement is, therefore, expensive and invasive. OBJECTIVE: This study aims to introduce a new approach on the basis of 3D coronary angiography and the Thrombolysis in Myocardial Infarction (TIMI) frame count for fast computation of FFR in patients with coronary artery disease. MATERIAL AND METHODS: In this simulation study, we herein introduce Non-Invasive Flow Ratio drawing upon CFD to measure FFR based on coronary angiography images with less run time. In this study, 3D geometry was created based on coronary angiography images. The mean volumetric flow rate was calculated using the TIMI frame count. FFR calculated based on CFD was compared with pressure-wire-based FFR and NiFR was calculated in 85 patients. RESULTS: The NiFR (r = 0.738, P< 0.001) exhibited a strong correlation with pressure-wire-based FFR. The result indicated that FFR was higher than 0.8 in the arteries with non-signif­icant stenosis and lower than 0.8 in the arter­ies with significant stenosis. CONCLUSION: The computational simulation of FFR and hemodynamic parameters such as pressure drop is a safe, efficient, and cost-effective method to evaluate the severity of coronary stenosis. Shiraz University of Medical Sciences 2021-12-01 /pmc/articles/PMC8649163/ /pubmed/34904065 http://dx.doi.org/10.31661/jbpe.v0i0.1160 Text en Copyright: © Journal of Biomedical Physics and Engineering https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sadeghian, Mohammad
Mohammadi, Vahid
Shafiee, Akbar
Babakhani, Hamidreza
Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images
title Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images
title_full Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images
title_fullStr Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images
title_full_unstemmed Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images
title_short Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images
title_sort non-invasive flow ratio (nifr) measurement based on angiography images
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649163/
https://www.ncbi.nlm.nih.gov/pubmed/34904065
http://dx.doi.org/10.31661/jbpe.v0i0.1160
work_keys_str_mv AT sadeghianmohammad noninvasiveflowrationifrmeasurementbasedonangiographyimages
AT mohammadivahid noninvasiveflowrationifrmeasurementbasedonangiographyimages
AT shafieeakbar noninvasiveflowrationifrmeasurementbasedonangiographyimages
AT babakhanihamidreza noninvasiveflowrationifrmeasurementbasedonangiographyimages