Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis

Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we...
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Autor*in:	Benedikt Franke [verfasserIn] Jan Brüning [verfasserIn] Pavlo Yevtushenko [verfasserIn] Henryk Dreger [verfasserIn] Anna Brand [verfasserIn] Benjamin Juri [verfasserIn] Axel Unbehaun [verfasserIn] Jörg Kempfert [verfasserIn] Simon Sündermann [verfasserIn] Alexander Lembcke [verfasserIn] Natalia Solowjowa [verfasserIn] Sebastian Kelle [verfasserIn] Volkmar Falk [verfasserIn] Titus Kuehne [verfasserIn] Leonid Goubergrits [verfasserIn] Marie Schafstedde [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model

Übergeordnetes Werk:	In: Frontiers in Cardiovascular Medicine - Frontiers Media S.A., 2015, 8(2021)
Übergeordnetes Werk:	volume:8 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fcvm.2021.706628

Katalog-ID:	DOAJ057972354

Internformat


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520			\|a Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning.
650		4	\|a cardiac computed tomography
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700	0		\|a Pavlo Yevtushenko \|e verfasserin \|4 aut
700	0		\|a Henryk Dreger \|e verfasserin \|4 aut
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700	0		\|a Anna Brand \|e verfasserin \|4 aut
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700	0		\|a Benjamin Juri \|e verfasserin \|4 aut
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700	0		\|a Alexander Lembcke \|e verfasserin \|4 aut
700	0		\|a Natalia Solowjowa \|e verfasserin \|4 aut
700	0		\|a Sebastian Kelle \|e verfasserin \|4 aut
700	0		\|a Volkmar Falk \|e verfasserin \|4 aut
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allfields	10.3389/fcvm.2021.706628 doi (DE-627)DOAJ057972354 (DE-599)DOAJa1a1c32868294bf186c861f3f1b074d2 DE-627 ger DE-627 rakwb eng RC666-701 Benedikt Franke verfasserin aut Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning. cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model Diseases of the circulatory (Cardiovascular) system Jan Brüning verfasserin aut Pavlo Yevtushenko verfasserin aut Henryk Dreger verfasserin aut Henryk Dreger verfasserin aut Anna Brand verfasserin aut Anna Brand verfasserin aut Benjamin Juri verfasserin aut Axel Unbehaun verfasserin aut Axel Unbehaun verfasserin aut Jörg Kempfert verfasserin aut Simon Sündermann verfasserin aut Simon Sündermann verfasserin aut Alexander Lembcke verfasserin aut Natalia Solowjowa verfasserin aut Sebastian Kelle verfasserin aut Volkmar Falk verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Leonid Goubergrits verfasserin aut Leonid Goubergrits verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 8(2021) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:8 year:2021 https://doi.org/10.3389/fcvm.2021.706628 kostenfrei https://doaj.org/article/a1a1c32868294bf186c861f3f1b074d2 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2021.706628/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021
spelling	10.3389/fcvm.2021.706628 doi (DE-627)DOAJ057972354 (DE-599)DOAJa1a1c32868294bf186c861f3f1b074d2 DE-627 ger DE-627 rakwb eng RC666-701 Benedikt Franke verfasserin aut Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning. cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model Diseases of the circulatory (Cardiovascular) system Jan Brüning verfasserin aut Pavlo Yevtushenko verfasserin aut Henryk Dreger verfasserin aut Henryk Dreger verfasserin aut Anna Brand verfasserin aut Anna Brand verfasserin aut Benjamin Juri verfasserin aut Axel Unbehaun verfasserin aut Axel Unbehaun verfasserin aut Jörg Kempfert verfasserin aut Simon Sündermann verfasserin aut Simon Sündermann verfasserin aut Alexander Lembcke verfasserin aut Natalia Solowjowa verfasserin aut Sebastian Kelle verfasserin aut Volkmar Falk verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Leonid Goubergrits verfasserin aut Leonid Goubergrits verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 8(2021) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:8 year:2021 https://doi.org/10.3389/fcvm.2021.706628 kostenfrei https://doaj.org/article/a1a1c32868294bf186c861f3f1b074d2 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2021.706628/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021
allfields_unstemmed	10.3389/fcvm.2021.706628 doi (DE-627)DOAJ057972354 (DE-599)DOAJa1a1c32868294bf186c861f3f1b074d2 DE-627 ger DE-627 rakwb eng RC666-701 Benedikt Franke verfasserin aut Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning. cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model Diseases of the circulatory (Cardiovascular) system Jan Brüning verfasserin aut Pavlo Yevtushenko verfasserin aut Henryk Dreger verfasserin aut Henryk Dreger verfasserin aut Anna Brand verfasserin aut Anna Brand verfasserin aut Benjamin Juri verfasserin aut Axel Unbehaun verfasserin aut Axel Unbehaun verfasserin aut Jörg Kempfert verfasserin aut Simon Sündermann verfasserin aut Simon Sündermann verfasserin aut Alexander Lembcke verfasserin aut Natalia Solowjowa verfasserin aut Sebastian Kelle verfasserin aut Volkmar Falk verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Leonid Goubergrits verfasserin aut Leonid Goubergrits verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 8(2021) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:8 year:2021 https://doi.org/10.3389/fcvm.2021.706628 kostenfrei https://doaj.org/article/a1a1c32868294bf186c861f3f1b074d2 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2021.706628/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021
allfieldsGer	10.3389/fcvm.2021.706628 doi (DE-627)DOAJ057972354 (DE-599)DOAJa1a1c32868294bf186c861f3f1b074d2 DE-627 ger DE-627 rakwb eng RC666-701 Benedikt Franke verfasserin aut Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning. cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model Diseases of the circulatory (Cardiovascular) system Jan Brüning verfasserin aut Pavlo Yevtushenko verfasserin aut Henryk Dreger verfasserin aut Henryk Dreger verfasserin aut Anna Brand verfasserin aut Anna Brand verfasserin aut Benjamin Juri verfasserin aut Axel Unbehaun verfasserin aut Axel Unbehaun verfasserin aut Jörg Kempfert verfasserin aut Simon Sündermann verfasserin aut Simon Sündermann verfasserin aut Alexander Lembcke verfasserin aut Natalia Solowjowa verfasserin aut Sebastian Kelle verfasserin aut Volkmar Falk verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Leonid Goubergrits verfasserin aut Leonid Goubergrits verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 8(2021) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:8 year:2021 https://doi.org/10.3389/fcvm.2021.706628 kostenfrei https://doaj.org/article/a1a1c32868294bf186c861f3f1b074d2 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2021.706628/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021
allfieldsSound	10.3389/fcvm.2021.706628 doi (DE-627)DOAJ057972354 (DE-599)DOAJa1a1c32868294bf186c861f3f1b074d2 DE-627 ger DE-627 rakwb eng RC666-701 Benedikt Franke verfasserin aut Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning. cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model Diseases of the circulatory (Cardiovascular) system Jan Brüning verfasserin aut Pavlo Yevtushenko verfasserin aut Henryk Dreger verfasserin aut Henryk Dreger verfasserin aut Anna Brand verfasserin aut Anna Brand verfasserin aut Benjamin Juri verfasserin aut Axel Unbehaun verfasserin aut Axel Unbehaun verfasserin aut Jörg Kempfert verfasserin aut Simon Sündermann verfasserin aut Simon Sündermann verfasserin aut Alexander Lembcke verfasserin aut Natalia Solowjowa verfasserin aut Sebastian Kelle verfasserin aut Volkmar Falk verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Titus Kuehne verfasserin aut Leonid Goubergrits verfasserin aut Leonid Goubergrits verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut Marie Schafstedde verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 8(2021) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:8 year:2021 https://doi.org/10.3389/fcvm.2021.706628 kostenfrei https://doaj.org/article/a1a1c32868294bf186c861f3f1b074d2 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2021.706628/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021
language	English
source	In Frontiers in Cardiovascular Medicine 8(2021) volume:8 year:2021
sourceStr	In Frontiers in Cardiovascular Medicine 8(2021) volume:8 year:2021
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model Diseases of the circulatory (Cardiovascular) system
isfreeaccess_bool	true
container_title	Frontiers in Cardiovascular Medicine
authorswithroles_txt_mv	Benedikt Franke @@aut@@ Jan Brüning @@aut@@ Pavlo Yevtushenko @@aut@@ Henryk Dreger @@aut@@ Anna Brand @@aut@@ Benjamin Juri @@aut@@ Axel Unbehaun @@aut@@ Jörg Kempfert @@aut@@ Simon Sündermann @@aut@@ Alexander Lembcke @@aut@@ Natalia Solowjowa @@aut@@ Sebastian Kelle @@aut@@ Volkmar Falk @@aut@@ Titus Kuehne @@aut@@ Leonid Goubergrits @@aut@@ Marie Schafstedde @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	793951607
id	DOAJ057972354
language_de	englisch
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callnumber-first	R - Medicine
author	Benedikt Franke
spellingShingle	Benedikt Franke misc RC666-701 misc cardiac computed tomography misc aortic stenosis misc transvalvular pressure gradient misc image-based modeling misc reduced order model misc Diseases of the circulatory (Cardiovascular) system Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis
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topic_title	RC666-701 Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis cardiac computed tomography aortic stenosis transvalvular pressure gradient image-based modeling reduced order model
topic	misc RC666-701 misc cardiac computed tomography misc aortic stenosis misc transvalvular pressure gradient misc image-based modeling misc reduced order model misc Diseases of the circulatory (Cardiovascular) system
topic_unstemmed	misc RC666-701 misc cardiac computed tomography misc aortic stenosis misc transvalvular pressure gradient misc image-based modeling misc reduced order model misc Diseases of the circulatory (Cardiovascular) system
topic_browse	misc RC666-701 misc cardiac computed tomography misc aortic stenosis misc transvalvular pressure gradient misc image-based modeling misc reduced order model misc Diseases of the circulatory (Cardiovascular) system
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title	Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis
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title_full	Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis
author_sort	Benedikt Franke
journal	Frontiers in Cardiovascular Medicine
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author_browse	Benedikt Franke Jan Brüning Pavlo Yevtushenko Henryk Dreger Anna Brand Benjamin Juri Axel Unbehaun Jörg Kempfert Simon Sündermann Alexander Lembcke Natalia Solowjowa Sebastian Kelle Volkmar Falk Titus Kuehne Leonid Goubergrits Marie Schafstedde
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author-letter	Benedikt Franke
doi_str_mv	10.3389/fcvm.2021.706628
author2-role	verfasserin
title_sort	computed tomography-based assessment of transvalvular pressure gradient in aortic stenosis
callnumber	RC666-701
title_auth	Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis
abstract	Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning.
abstractGer	Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning.
abstract_unstemmed	Background: In patients with aortic stenosis, computed tomography (CT) provides important information about cardiovascular anatomy for treatment planning but is limited in determining relevant hemodynamic parameters such as the transvalvular pressure gradient (TPG).Purpose: In the present study, we aimed to validate a reduced-order model method for assessing TPG in aortic stenosis using CT data.Methods: TPGCT was calculated using a reduced-order model requiring the patient-specific peak-systolic aortic flow rate (Q) and the aortic valve area (AVA). AVA was determined by segmentation of the aortic valve leaflets, whereas Q was quantified based on volumetric assessment of the left ventricle. For validation, invasively measured TPGcatheter was calculated from pressure measurements in the left ventricle and the ascending aorta. Altogether, 84 data sets of patients with aortic stenosis were used to compare TPGCT against TPGcatheter.Results: TPGcatheter and TPGCT were 50.6 ± 28.0 and 48.0 ± 26 mmHg, respectively (p = 0.56). A Bland–Altman analysis revealed good agreement between both methods with a mean difference in TPG of 2.6 mmHg and a standard deviation of 19.3 mmHg. Both methods showed good correlation with r = 0.72 (p < 0.001).Conclusions: The presented CT-based method allows assessment of TPG in patients with aortic stenosis, extending the current capabilities of cardiac CT for diagnosis and treatment planning.
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title_short	Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis
url	https://doi.org/10.3389/fcvm.2021.706628 https://doaj.org/article/a1a1c32868294bf186c861f3f1b074d2 https://www.frontiersin.org/articles/10.3389/fcvm.2021.706628/full https://doaj.org/toc/2297-055X
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author2	Jan Brüning Pavlo Yevtushenko Henryk Dreger Anna Brand Benjamin Juri Axel Unbehaun Jörg Kempfert Simon Sündermann Alexander Lembcke Natalia Solowjowa Sebastian Kelle Volkmar Falk Titus Kuehne Leonid Goubergrits Marie Schafstedde
author2Str	Jan Brüning Pavlo Yevtushenko Henryk Dreger Anna Brand Benjamin Juri Axel Unbehaun Jörg Kempfert Simon Sündermann Alexander Lembcke Natalia Solowjowa Sebastian Kelle Volkmar Falk Titus Kuehne Leonid Goubergrits Marie Schafstedde
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up_date	2024-07-03T15:13:55.456Z
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