Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction

An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Marleny M. Vega [verfasserIn] Geng Li [verfasserIn] Mohammad S. Shourijeh [verfasserIn] Di Ao [verfasserIn] Robert C. Weinschenk [verfasserIn] Carolynn Patten [verfasserIn] Josep M. Font-Llagunes [verfasserIn] Valerae O. Lewis [verfasserIn] Benjamin J. Fregly [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control

Übergeordnetes Werk:	In: Frontiers in Bioengineering and Biotechnology - Frontiers Media S.A., 2014, 10(2022)
Übergeordnetes Werk:	volume:10 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fbioe.2022.855870

Katalog-ID:	DOAJ084545739

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650		4	\|a orthopedic biomechanics
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allfields	10.3389/fbioe.2022.855870 doi (DE-627)DOAJ084545739 (DE-599)DOAJ9e7304a27af04e05932c925292ecb993 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Marleny M. Vega verfasserin aut Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients. orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control Biotechnology Geng Li verfasserin aut Mohammad S. Shourijeh verfasserin aut Di Ao verfasserin aut Robert C. Weinschenk verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Josep M. Font-Llagunes verfasserin aut Josep M. Font-Llagunes verfasserin aut Valerae O. Lewis verfasserin aut Benjamin J. Fregly verfasserin aut In Frontiers in Bioengineering and Biotechnology Frontiers Media S.A., 2014 10(2022) (DE-627)74950403X (DE-600)2719493-0 22964185 nnns volume:10 year:2022 https://doi.org/10.3389/fbioe.2022.855870 kostenfrei https://doaj.org/article/9e7304a27af04e05932c925292ecb993 kostenfrei https://www.frontiersin.org/articles/10.3389/fbioe.2022.855870/full kostenfrei https://doaj.org/toc/2296-4185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_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 10 2022
spelling	10.3389/fbioe.2022.855870 doi (DE-627)DOAJ084545739 (DE-599)DOAJ9e7304a27af04e05932c925292ecb993 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Marleny M. Vega verfasserin aut Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients. orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control Biotechnology Geng Li verfasserin aut Mohammad S. Shourijeh verfasserin aut Di Ao verfasserin aut Robert C. Weinschenk verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Josep M. Font-Llagunes verfasserin aut Josep M. Font-Llagunes verfasserin aut Valerae O. Lewis verfasserin aut Benjamin J. Fregly verfasserin aut In Frontiers in Bioengineering and Biotechnology Frontiers Media S.A., 2014 10(2022) (DE-627)74950403X (DE-600)2719493-0 22964185 nnns volume:10 year:2022 https://doi.org/10.3389/fbioe.2022.855870 kostenfrei https://doaj.org/article/9e7304a27af04e05932c925292ecb993 kostenfrei https://www.frontiersin.org/articles/10.3389/fbioe.2022.855870/full kostenfrei https://doaj.org/toc/2296-4185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_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 10 2022
allfields_unstemmed	10.3389/fbioe.2022.855870 doi (DE-627)DOAJ084545739 (DE-599)DOAJ9e7304a27af04e05932c925292ecb993 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Marleny M. Vega verfasserin aut Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients. orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control Biotechnology Geng Li verfasserin aut Mohammad S. Shourijeh verfasserin aut Di Ao verfasserin aut Robert C. Weinschenk verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Josep M. Font-Llagunes verfasserin aut Josep M. Font-Llagunes verfasserin aut Valerae O. Lewis verfasserin aut Benjamin J. Fregly verfasserin aut In Frontiers in Bioengineering and Biotechnology Frontiers Media S.A., 2014 10(2022) (DE-627)74950403X (DE-600)2719493-0 22964185 nnns volume:10 year:2022 https://doi.org/10.3389/fbioe.2022.855870 kostenfrei https://doaj.org/article/9e7304a27af04e05932c925292ecb993 kostenfrei https://www.frontiersin.org/articles/10.3389/fbioe.2022.855870/full kostenfrei https://doaj.org/toc/2296-4185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_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 10 2022
allfieldsGer	10.3389/fbioe.2022.855870 doi (DE-627)DOAJ084545739 (DE-599)DOAJ9e7304a27af04e05932c925292ecb993 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Marleny M. Vega verfasserin aut Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients. orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control Biotechnology Geng Li verfasserin aut Mohammad S. Shourijeh verfasserin aut Di Ao verfasserin aut Robert C. Weinschenk verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Josep M. Font-Llagunes verfasserin aut Josep M. Font-Llagunes verfasserin aut Valerae O. Lewis verfasserin aut Benjamin J. Fregly verfasserin aut In Frontiers in Bioengineering and Biotechnology Frontiers Media S.A., 2014 10(2022) (DE-627)74950403X (DE-600)2719493-0 22964185 nnns volume:10 year:2022 https://doi.org/10.3389/fbioe.2022.855870 kostenfrei https://doaj.org/article/9e7304a27af04e05932c925292ecb993 kostenfrei https://www.frontiersin.org/articles/10.3389/fbioe.2022.855870/full kostenfrei https://doaj.org/toc/2296-4185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_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 10 2022
allfieldsSound	10.3389/fbioe.2022.855870 doi (DE-627)DOAJ084545739 (DE-599)DOAJ9e7304a27af04e05932c925292ecb993 DE-627 ger DE-627 rakwb eng TP248.13-248.65 Marleny M. Vega verfasserin aut Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients. orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control Biotechnology Geng Li verfasserin aut Mohammad S. Shourijeh verfasserin aut Di Ao verfasserin aut Robert C. Weinschenk verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Carolynn Patten verfasserin aut Josep M. Font-Llagunes verfasserin aut Josep M. Font-Llagunes verfasserin aut Valerae O. Lewis verfasserin aut Benjamin J. Fregly verfasserin aut In Frontiers in Bioengineering and Biotechnology Frontiers Media S.A., 2014 10(2022) (DE-627)74950403X (DE-600)2719493-0 22964185 nnns volume:10 year:2022 https://doi.org/10.3389/fbioe.2022.855870 kostenfrei https://doaj.org/article/9e7304a27af04e05932c925292ecb993 kostenfrei https://www.frontiersin.org/articles/10.3389/fbioe.2022.855870/full kostenfrei https://doaj.org/toc/2296-4185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_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 10 2022
language	English
source	In Frontiers in Bioengineering and Biotechnology 10(2022) volume:10 year:2022
sourceStr	In Frontiers in Bioengineering and Biotechnology 10(2022) volume:10 year:2022
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control Biotechnology
isfreeaccess_bool	true
container_title	Frontiers in Bioengineering and Biotechnology
authorswithroles_txt_mv	Marleny M. Vega @@aut@@ Geng Li @@aut@@ Mohammad S. Shourijeh @@aut@@ Di Ao @@aut@@ Robert C. Weinschenk @@aut@@ Carolynn Patten @@aut@@ Josep M. Font-Llagunes @@aut@@ Valerae O. Lewis @@aut@@ Benjamin J. Fregly @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	74950403X
id	DOAJ084545739
language_de	englisch
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callnumber-first	T - Technology
author	Marleny M. Vega
spellingShingle	Marleny M. Vega misc TP248.13-248.65 misc orthopedic biomechanics misc neuromusculoskeletal modeling misc computational modeling misc predictive simulation misc treatment optimization misc optimal control misc Biotechnology Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
authorStr	Marleny M. Vega
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topic_title	TP248.13-248.65 Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction orthopedic biomechanics neuromusculoskeletal modeling computational modeling predictive simulation treatment optimization optimal control
topic	misc TP248.13-248.65 misc orthopedic biomechanics misc neuromusculoskeletal modeling misc computational modeling misc predictive simulation misc treatment optimization misc optimal control misc Biotechnology
topic_unstemmed	misc TP248.13-248.65 misc orthopedic biomechanics misc neuromusculoskeletal modeling misc computational modeling misc predictive simulation misc treatment optimization misc optimal control misc Biotechnology
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title	Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
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title_full	Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
author_sort	Marleny M. Vega
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author_browse	Marleny M. Vega Geng Li Mohammad S. Shourijeh Di Ao Robert C. Weinschenk Carolynn Patten Josep M. Font-Llagunes Valerae O. Lewis Benjamin J. Fregly
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title_sort	computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
callnumber	TP248.13-248.65
title_auth	Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
abstract	An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients.
abstractGer	An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients.
abstract_unstemmed	An emerging option for internal hemipelvectomy surgery is custom prosthesis reconstruction. This option typically recapitulates the resected pelvic bony anatomy with the goal of maximizing post-surgery walking function while minimizing recovery time. However, the current custom prosthesis design process does not account for the patient’s post-surgery prosthesis and bone loading patterns, nor can it predict how different surgical or rehabilitation decisions (e.g., retention or removal of the psoas muscle, strengthening the psoas) will affect prosthesis durability and post-surgery walking function. These factors may contribute to the high observed failure rate for custom pelvic prostheses, discouraging orthopedic oncologists from pursuing this valuable treatment option. One possibility for addressing this problem is to simulate the complex interaction between surgical and rehabilitation decisions, post-surgery walking function, and custom pelvic prosthesis design using patient-specific neuromusculoskeletal models. As a first step toward developing this capability, this study used a personalized neuromusculoskeletal model and direct collocation optimal control to predict the impact of ipsilateral psoas muscle strength on walking function following internal hemipelvectomy with custom prosthesis reconstruction. The influence of the psoas muscle was targeted since retention of this important muscle can be surgically demanding for certain tumors, requiring additional time in the operating room. The post-surgery walking predictions emulated the most common surgical scenario encountered at MD Anderson Cancer Center in Houston. Simulated post-surgery psoas strengths included 0% (removed), 50% (weakened), 100% (maintained), and 150% (strengthened) of the pre-surgery value. However, only the 100% and 150% cases successfully converged to a complete gait cycle. When post-surgery psoas strength was maintained, clinical gait features were predicted, including increased stance width, decreased stride length, and increased lumbar bending towards the operated side. Furthermore, when post-surgery psoas strength was increased, stance width and stride length returned to pre-surgery values. These results suggest that retention and strengthening of the psoas muscle on the operated side may be important for maximizing post-surgery walking function. If future studies can validate this computational approach using post-surgery experimental walking data, the approach may eventually influence surgical, rehabilitation, and custom prosthesis design decisions to meet the unique clinical needs of pelvic sarcoma patients.
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title_short	Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction
url	https://doi.org/10.3389/fbioe.2022.855870 https://doaj.org/article/9e7304a27af04e05932c925292ecb993 https://www.frontiersin.org/articles/10.3389/fbioe.2022.855870/full https://doaj.org/toc/2296-4185
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author2	Geng Li Mohammad S. Shourijeh Di Ao Robert C. Weinschenk Carolynn Patten Josep M. Font-Llagunes Valerae O. Lewis Benjamin J. Fregly
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Computational evaluation of psoas muscle influence on walking function following internal hemipelvectomy with reconstruction

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