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Improved Functional Assessment of Ischemic Severity Using 3D Printed Models

OBJECTIVE: To develop a novel in vitro method for evaluating coronary artery ischemia using a combination of non-invasive coronary CT angiograms (CCTA) and 3D printing (FFR(3D)). METHODS: Twenty eight patients with varying degrees of coronary artery disease who underwent non-invasive CCTA scans and...

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Autores principales: Kolli, Kranthi K., Jang, Sun-Joo, Zahid, Abdul, Caprio, Alexandre, Alaie, Seyedhamidreza, Moghadam, Amir Ali Amiri, Xu, Patricia, Shepherd, Robert, Mosadegh, Bobak, Dunham, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279862/
https://www.ncbi.nlm.nih.gov/pubmed/35845036
http://dx.doi.org/10.3389/fcvm.2022.909680
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author Kolli, Kranthi K.
Jang, Sun-Joo
Zahid, Abdul
Caprio, Alexandre
Alaie, Seyedhamidreza
Moghadam, Amir Ali Amiri
Xu, Patricia
Shepherd, Robert
Mosadegh, Bobak
Dunham, Simon
author_facet Kolli, Kranthi K.
Jang, Sun-Joo
Zahid, Abdul
Caprio, Alexandre
Alaie, Seyedhamidreza
Moghadam, Amir Ali Amiri
Xu, Patricia
Shepherd, Robert
Mosadegh, Bobak
Dunham, Simon
author_sort Kolli, Kranthi K.
collection PubMed
description OBJECTIVE: To develop a novel in vitro method for evaluating coronary artery ischemia using a combination of non-invasive coronary CT angiograms (CCTA) and 3D printing (FFR(3D)). METHODS: Twenty eight patients with varying degrees of coronary artery disease who underwent non-invasive CCTA scans and invasive fractional flow reserve (FFR) of their epicardial coronary arteries were included in this study. Coronary arteries were segmented and reconstructed from CCTA scans using Mimics (Materialize). The segmented models were then 3D printed using a Carbon M1 3D printer with urethane methacrylate (UMA) family of rigid resins. Physiological coronary circulation was modeled in vitro as flow-dependent stenosis resistance in series with variable downstream resistance. A range of physiological flow rates (Q) were applied using a peristaltic steady flow pump and titrated with a flow sensor. The pressure drop (ΔP) and the pressure ratio (P(d)/P(a)) were assessed for patient-specific aortic pressure (P(a)) and differing flow rates (Q) to evaluate FFR(3D) using the 3D printed model. RESULTS: There was a good positive correlation (r = 0.87, p < 0.0001) between FFR(3D) and invasive FFR. Bland-Altman analysis revealed a good concordance between the FFR(3D) and invasive FFR values with a mean bias of 0.02 (limits of agreement: −0.14 to 0.18; p = 0.2). CONCLUSIONS: 3D printed patient-specific models can be used in a non-invasive in vitro environment to quantify coronary artery ischemia with good correlation and concordance to that of invasive FFR.
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spelling pubmed-92798622022-07-15 Improved Functional Assessment of Ischemic Severity Using 3D Printed Models Kolli, Kranthi K. Jang, Sun-Joo Zahid, Abdul Caprio, Alexandre Alaie, Seyedhamidreza Moghadam, Amir Ali Amiri Xu, Patricia Shepherd, Robert Mosadegh, Bobak Dunham, Simon Front Cardiovasc Med Cardiovascular Medicine OBJECTIVE: To develop a novel in vitro method for evaluating coronary artery ischemia using a combination of non-invasive coronary CT angiograms (CCTA) and 3D printing (FFR(3D)). METHODS: Twenty eight patients with varying degrees of coronary artery disease who underwent non-invasive CCTA scans and invasive fractional flow reserve (FFR) of their epicardial coronary arteries were included in this study. Coronary arteries were segmented and reconstructed from CCTA scans using Mimics (Materialize). The segmented models were then 3D printed using a Carbon M1 3D printer with urethane methacrylate (UMA) family of rigid resins. Physiological coronary circulation was modeled in vitro as flow-dependent stenosis resistance in series with variable downstream resistance. A range of physiological flow rates (Q) were applied using a peristaltic steady flow pump and titrated with a flow sensor. The pressure drop (ΔP) and the pressure ratio (P(d)/P(a)) were assessed for patient-specific aortic pressure (P(a)) and differing flow rates (Q) to evaluate FFR(3D) using the 3D printed model. RESULTS: There was a good positive correlation (r = 0.87, p < 0.0001) between FFR(3D) and invasive FFR. Bland-Altman analysis revealed a good concordance between the FFR(3D) and invasive FFR values with a mean bias of 0.02 (limits of agreement: −0.14 to 0.18; p = 0.2). CONCLUSIONS: 3D printed patient-specific models can be used in a non-invasive in vitro environment to quantify coronary artery ischemia with good correlation and concordance to that of invasive FFR. Frontiers Media S.A. 2022-06-30 /pmc/articles/PMC9279862/ /pubmed/35845036 http://dx.doi.org/10.3389/fcvm.2022.909680 Text en Copyright © 2022 Kolli, Jang, Zahid, Caprio, Alaie, Moghadam, Xu, Shepherd, Mosadegh and Dunham. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Kolli, Kranthi K.
Jang, Sun-Joo
Zahid, Abdul
Caprio, Alexandre
Alaie, Seyedhamidreza
Moghadam, Amir Ali Amiri
Xu, Patricia
Shepherd, Robert
Mosadegh, Bobak
Dunham, Simon
Improved Functional Assessment of Ischemic Severity Using 3D Printed Models
title Improved Functional Assessment of Ischemic Severity Using 3D Printed Models
title_full Improved Functional Assessment of Ischemic Severity Using 3D Printed Models
title_fullStr Improved Functional Assessment of Ischemic Severity Using 3D Printed Models
title_full_unstemmed Improved Functional Assessment of Ischemic Severity Using 3D Printed Models
title_short Improved Functional Assessment of Ischemic Severity Using 3D Printed Models
title_sort improved functional assessment of ischemic severity using 3d printed models
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279862/
https://www.ncbi.nlm.nih.gov/pubmed/35845036
http://dx.doi.org/10.3389/fcvm.2022.909680
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