A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design

<italic>Goal:</italic> To develop a cardiovascular virtual population using statistical modeling and computational biomechanics. <italic>Methods:</italic> A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real clinical...

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Autores principales:	Dimitrios Pleouras, Antonis Sakellarios, George Rigas, Georgia S. Karanasiou, Panagiota Tsompou, Gianna Karanasiou, Vassiliki Kigka, Savvas Kyriakidis, Vasileios Pezoulas, George Gois, Nikolaos Tachos, Aidonis Ramos, Gualtiero Pelosi, Silvia Rocchiccioli, Lampros Michalis, Dimitrios I. Fotiadis
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Cardiovascular virtual population clinical data augmentation plaque growth modeling <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">in-silico</italic> clinical trials Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/6116fa3d0737417f92cf33d1876f410f
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spelling	oai:doaj.org-article:6116fa3d0737417f92cf33d1876f410f2021-11-24T00:03:55ZA Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design2644-127610.1109/OJEMB.2021.3082328https://doaj.org/article/6116fa3d0737417f92cf33d1876f410f2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9437734/https://doaj.org/toc/2644-1276<italic>Goal:</italic> To develop a cardiovascular virtual population using statistical modeling and computational biomechanics. <italic>Methods:</italic> A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real clinical dataset. An atherosclerotic plaque growth model is employed to 3D reconstructed coronary arterial segments to generate virtual coronary arterial geometries (geometrical data). Last, the combination of the virtual clinical and geometrical data is achieved using a methodology that allows for the generation of a realistic virtual population which can be used in <italic>in silico</italic> clinical trials. <italic>Results:</italic> The results show good agreement between real and virtual clinical data presenting a mean gof 0.1 ± 0.08. 400 virtual coronary arteries were generated, while the final virtual population includes 10,000 patients. <italic>Conclusions:</italic> The virtual arterial geometries are efficiently matched to the generated clinical data, both increasing and complementing the variability of the virtual population.Dimitrios PleourasAntonis SakellariosGeorge RigasGeorgia S. KaranasiouPanagiota TsompouGianna KaranasiouVassiliki KigkaSavvas KyriakidisVasileios PezoulasGeorge GoisNikolaos TachosAidonis RamosGualtiero PelosiSilvia RocchiccioliLampros MichalisDimitrios I. FotiadisIEEEarticleCardiovascular virtual populationclinical data augmentationplaque growth modeling<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">in-silico</italic> clinical trialsComputer applications to medicine. Medical informaticsR858-859.7Medical technologyR855-855.5ENIEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 201-209 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cardiovascular virtual population clinical data augmentation plaque growth modeling <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">in-silico</italic> clinical trials Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
spellingShingle	Cardiovascular virtual population clinical data augmentation plaque growth modeling <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">in-silico</italic> clinical trials Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5 Dimitrios Pleouras Antonis Sakellarios George Rigas Georgia S. Karanasiou Panagiota Tsompou Gianna Karanasiou Vassiliki Kigka Savvas Kyriakidis Vasileios Pezoulas George Gois Nikolaos Tachos Aidonis Ramos Gualtiero Pelosi Silvia Rocchiccioli Lampros Michalis Dimitrios I. Fotiadis A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design
description	<italic>Goal:</italic> To develop a cardiovascular virtual population using statistical modeling and computational biomechanics. <italic>Methods:</italic> A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real clinical dataset. An atherosclerotic plaque growth model is employed to 3D reconstructed coronary arterial segments to generate virtual coronary arterial geometries (geometrical data). Last, the combination of the virtual clinical and geometrical data is achieved using a methodology that allows for the generation of a realistic virtual population which can be used in <italic>in silico</italic> clinical trials. <italic>Results:</italic> The results show good agreement between real and virtual clinical data presenting a mean gof 0.1 ± 0.08. 400 virtual coronary arteries were generated, while the final virtual population includes 10,000 patients. <italic>Conclusions:</italic> The virtual arterial geometries are efficiently matched to the generated clinical data, both increasing and complementing the variability of the virtual population.
format	article
author	Dimitrios Pleouras Antonis Sakellarios George Rigas Georgia S. Karanasiou Panagiota Tsompou Gianna Karanasiou Vassiliki Kigka Savvas Kyriakidis Vasileios Pezoulas George Gois Nikolaos Tachos Aidonis Ramos Gualtiero Pelosi Silvia Rocchiccioli Lampros Michalis Dimitrios I. Fotiadis
author_facet	Dimitrios Pleouras Antonis Sakellarios George Rigas Georgia S. Karanasiou Panagiota Tsompou Gianna Karanasiou Vassiliki Kigka Savvas Kyriakidis Vasileios Pezoulas George Gois Nikolaos Tachos Aidonis Ramos Gualtiero Pelosi Silvia Rocchiccioli Lampros Michalis Dimitrios I. Fotiadis
author_sort	Dimitrios Pleouras
title	A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design
title_short	A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design
title_full	A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design
title_fullStr	A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design
title_full_unstemmed	A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design
title_sort	novel approach to generate a virtual population of human coronary arteries for <italic>in silico</italic> clinical trials of stent design
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/6116fa3d0737417f92cf33d1876f410f
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A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design

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