A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty

Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyph...
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Autor*in:	Yanming Zhang [verfasserIn] Tao Zhang [verfasserIn] Xiang Ge [verfasserIn] Yong Ma [verfasserIn] Zhenduo Cui [verfasserIn] Shuilin Wu [verfasserIn] Yanqin Liang [verfasserIn] Shengli Zhu [verfasserIn] Zhaoyang Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Übergeordnetes Werk:	In: Computational and Mathematical Methods in Medicine - Hindawi Limited, 2011, (2022)
Übergeordnetes Werk:	year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1155/2022/2330472

Katalog-ID:	DOAJ028148487

Internformat


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245	1	2	\|a A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty
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520			\|a Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis.
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700	0		\|a Shengli Zhu \|e verfasserin \|4 aut
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allfields	10.1155/2022/2330472 doi (DE-627)DOAJ028148487 (DE-599)DOAJ033c1a114510463dbd302f42aaf06596 DE-627 ger DE-627 rakwb eng R858-859.7 Yanming Zhang verfasserin aut A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis. Computer applications to medicine. Medical informatics Tao Zhang verfasserin aut Xiang Ge verfasserin aut Yong Ma verfasserin aut Zhenduo Cui verfasserin aut Shuilin Wu verfasserin aut Yanqin Liang verfasserin aut Shengli Zhu verfasserin aut Zhaoyang Li verfasserin aut In Computational and Mathematical Methods in Medicine Hindawi Limited, 2011 (2022) (DE-627)519764781 (DE-600)2256917-0 1748670X nnns year:2022 https://doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/article/033c1a114510463dbd302f42aaf06596 kostenfrei http://dx.doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/toc/1748-6718 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_31 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 2022
spelling	10.1155/2022/2330472 doi (DE-627)DOAJ028148487 (DE-599)DOAJ033c1a114510463dbd302f42aaf06596 DE-627 ger DE-627 rakwb eng R858-859.7 Yanming Zhang verfasserin aut A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis. Computer applications to medicine. Medical informatics Tao Zhang verfasserin aut Xiang Ge verfasserin aut Yong Ma verfasserin aut Zhenduo Cui verfasserin aut Shuilin Wu verfasserin aut Yanqin Liang verfasserin aut Shengli Zhu verfasserin aut Zhaoyang Li verfasserin aut In Computational and Mathematical Methods in Medicine Hindawi Limited, 2011 (2022) (DE-627)519764781 (DE-600)2256917-0 1748670X nnns year:2022 https://doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/article/033c1a114510463dbd302f42aaf06596 kostenfrei http://dx.doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/toc/1748-6718 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_31 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 2022
allfields_unstemmed	10.1155/2022/2330472 doi (DE-627)DOAJ028148487 (DE-599)DOAJ033c1a114510463dbd302f42aaf06596 DE-627 ger DE-627 rakwb eng R858-859.7 Yanming Zhang verfasserin aut A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis. Computer applications to medicine. Medical informatics Tao Zhang verfasserin aut Xiang Ge verfasserin aut Yong Ma verfasserin aut Zhenduo Cui verfasserin aut Shuilin Wu verfasserin aut Yanqin Liang verfasserin aut Shengli Zhu verfasserin aut Zhaoyang Li verfasserin aut In Computational and Mathematical Methods in Medicine Hindawi Limited, 2011 (2022) (DE-627)519764781 (DE-600)2256917-0 1748670X nnns year:2022 https://doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/article/033c1a114510463dbd302f42aaf06596 kostenfrei http://dx.doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/toc/1748-6718 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_31 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 2022
allfieldsGer	10.1155/2022/2330472 doi (DE-627)DOAJ028148487 (DE-599)DOAJ033c1a114510463dbd302f42aaf06596 DE-627 ger DE-627 rakwb eng R858-859.7 Yanming Zhang verfasserin aut A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis. Computer applications to medicine. Medical informatics Tao Zhang verfasserin aut Xiang Ge verfasserin aut Yong Ma verfasserin aut Zhenduo Cui verfasserin aut Shuilin Wu verfasserin aut Yanqin Liang verfasserin aut Shengli Zhu verfasserin aut Zhaoyang Li verfasserin aut In Computational and Mathematical Methods in Medicine Hindawi Limited, 2011 (2022) (DE-627)519764781 (DE-600)2256917-0 1748670X nnns year:2022 https://doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/article/033c1a114510463dbd302f42aaf06596 kostenfrei http://dx.doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/toc/1748-6718 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_31 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 2022
allfieldsSound	10.1155/2022/2330472 doi (DE-627)DOAJ028148487 (DE-599)DOAJ033c1a114510463dbd302f42aaf06596 DE-627 ger DE-627 rakwb eng R858-859.7 Yanming Zhang verfasserin aut A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis. Computer applications to medicine. Medical informatics Tao Zhang verfasserin aut Xiang Ge verfasserin aut Yong Ma verfasserin aut Zhenduo Cui verfasserin aut Shuilin Wu verfasserin aut Yanqin Liang verfasserin aut Shengli Zhu verfasserin aut Zhaoyang Li verfasserin aut In Computational and Mathematical Methods in Medicine Hindawi Limited, 2011 (2022) (DE-627)519764781 (DE-600)2256917-0 1748670X nnns year:2022 https://doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/article/033c1a114510463dbd302f42aaf06596 kostenfrei http://dx.doi.org/10.1155/2022/2330472 kostenfrei https://doaj.org/toc/1748-6718 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_31 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 2022
language	English
source	In Computational and Mathematical Methods in Medicine (2022) year:2022
sourceStr	In Computational and Mathematical Methods in Medicine (2022) year:2022
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Computer applications to medicine. Medical informatics
isfreeaccess_bool	true
container_title	Computational and Mathematical Methods in Medicine
authorswithroles_txt_mv	Yanming Zhang @@aut@@ Tao Zhang @@aut@@ Xiang Ge @@aut@@ Yong Ma @@aut@@ Zhenduo Cui @@aut@@ Shuilin Wu @@aut@@ Yanqin Liang @@aut@@ Shengli Zhu @@aut@@ Zhaoyang Li @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	519764781
id	DOAJ028148487
language_de	englisch
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Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). 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callnumber-first	R - Medicine
author	Yanming Zhang
spellingShingle	Yanming Zhang misc R858-859.7 misc Computer applications to medicine. Medical informatics A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty
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topic_title	R858-859.7 A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty
topic	misc R858-859.7 misc Computer applications to medicine. Medical informatics
topic_unstemmed	misc R858-859.7 misc Computer applications to medicine. Medical informatics
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title	A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty
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title_full	A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty
author_sort	Yanming Zhang
journal	Computational and Mathematical Methods in Medicine
journalStr	Computational and Mathematical Methods in Medicine
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author_browse	Yanming Zhang Tao Zhang Xiang Ge Yong Ma Zhenduo Cui Shuilin Wu Yanqin Liang Shengli Zhu Zhaoyang Li
class	R858-859.7
format_se	Elektronische Aufsätze
author-letter	Yanming Zhang
doi_str_mv	10.1155/2022/2330472
author2-role	verfasserin
title_sort	three-dimensional cement quantification method for decision prediction of vertebral recompression after vertebroplasty
callnumber	R858-859.7
title_auth	A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty
abstract	Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis.
abstractGer	Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis.
abstract_unstemmed	Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics (n=51) after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters (R2) can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load (R2=0.729) and stiffness (R2=0.684), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (P<0.05). The regional endplate contact number in the front column is most correlated with vertebral stiffness (R2=0.59) among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis.
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title_short	A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty
url	https://doi.org/10.1155/2022/2330472 https://doaj.org/article/033c1a114510463dbd302f42aaf06596 http://dx.doi.org/10.1155/2022/2330472 https://doaj.org/toc/1748-6718
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A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty

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