Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy

Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Martijn D. Steenwijk [verfasserIn] Houshang Amiri [verfasserIn] Menno M. Schoonheim [verfasserIn] Alexandra de Sitter [verfasserIn] Frederik Barkhof [verfasserIn] Petra J.W. Pouwels [verfasserIn] Hugo Vrenken [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Übergeordnetes Werk:	In: NeuroImage: Clinical - Elsevier, 2015, 15(2017), Seite 843-853
Übergeordnetes Werk:	volume:15 ; year:2017 ; pages:843-853

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.nicl.2017.06.034

Katalog-ID:	DOAJ046616454

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520			\|a Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy
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700	0		\|a Petra J.W. Pouwels \|e verfasserin \|4 aut
700	0		\|a Hugo Vrenken \|e verfasserin \|4 aut
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allfields	10.1016/j.nicl.2017.06.034 doi (DE-627)DOAJ046616454 (DE-599)DOAJff5413c9c9094476a70a41a524046e53 DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Martijn D. Steenwijk verfasserin aut Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Houshang Amiri verfasserin aut Menno M. Schoonheim verfasserin aut Alexandra de Sitter verfasserin aut Frederik Barkhof verfasserin aut Petra J.W. Pouwels verfasserin aut Hugo Vrenken verfasserin aut In NeuroImage: Clinical Elsevier, 2015 15(2017), Seite 843-853 (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:15 year:2017 pages:843-853 https://doi.org/10.1016/j.nicl.2017.06.034 kostenfrei https://doaj.org/article/ff5413c9c9094476a70a41a524046e53 kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158217301651 kostenfrei https://doaj.org/toc/2213-1582 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2017 843-853
spelling	10.1016/j.nicl.2017.06.034 doi (DE-627)DOAJ046616454 (DE-599)DOAJff5413c9c9094476a70a41a524046e53 DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Martijn D. Steenwijk verfasserin aut Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Houshang Amiri verfasserin aut Menno M. Schoonheim verfasserin aut Alexandra de Sitter verfasserin aut Frederik Barkhof verfasserin aut Petra J.W. Pouwels verfasserin aut Hugo Vrenken verfasserin aut In NeuroImage: Clinical Elsevier, 2015 15(2017), Seite 843-853 (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:15 year:2017 pages:843-853 https://doi.org/10.1016/j.nicl.2017.06.034 kostenfrei https://doaj.org/article/ff5413c9c9094476a70a41a524046e53 kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158217301651 kostenfrei https://doaj.org/toc/2213-1582 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2017 843-853
allfields_unstemmed	10.1016/j.nicl.2017.06.034 doi (DE-627)DOAJ046616454 (DE-599)DOAJff5413c9c9094476a70a41a524046e53 DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Martijn D. Steenwijk verfasserin aut Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Houshang Amiri verfasserin aut Menno M. Schoonheim verfasserin aut Alexandra de Sitter verfasserin aut Frederik Barkhof verfasserin aut Petra J.W. Pouwels verfasserin aut Hugo Vrenken verfasserin aut In NeuroImage: Clinical Elsevier, 2015 15(2017), Seite 843-853 (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:15 year:2017 pages:843-853 https://doi.org/10.1016/j.nicl.2017.06.034 kostenfrei https://doaj.org/article/ff5413c9c9094476a70a41a524046e53 kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158217301651 kostenfrei https://doaj.org/toc/2213-1582 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2017 843-853
allfieldsGer	10.1016/j.nicl.2017.06.034 doi (DE-627)DOAJ046616454 (DE-599)DOAJff5413c9c9094476a70a41a524046e53 DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Martijn D. Steenwijk verfasserin aut Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Houshang Amiri verfasserin aut Menno M. Schoonheim verfasserin aut Alexandra de Sitter verfasserin aut Frederik Barkhof verfasserin aut Petra J.W. Pouwels verfasserin aut Hugo Vrenken verfasserin aut In NeuroImage: Clinical Elsevier, 2015 15(2017), Seite 843-853 (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:15 year:2017 pages:843-853 https://doi.org/10.1016/j.nicl.2017.06.034 kostenfrei https://doaj.org/article/ff5413c9c9094476a70a41a524046e53 kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158217301651 kostenfrei https://doaj.org/toc/2213-1582 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2017 843-853
allfieldsSound	10.1016/j.nicl.2017.06.034 doi (DE-627)DOAJ046616454 (DE-599)DOAJff5413c9c9094476a70a41a524046e53 DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Martijn D. Steenwijk verfasserin aut Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Houshang Amiri verfasserin aut Menno M. Schoonheim verfasserin aut Alexandra de Sitter verfasserin aut Frederik Barkhof verfasserin aut Petra J.W. Pouwels verfasserin aut Hugo Vrenken verfasserin aut In NeuroImage: Clinical Elsevier, 2015 15(2017), Seite 843-853 (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:15 year:2017 pages:843-853 https://doi.org/10.1016/j.nicl.2017.06.034 kostenfrei https://doaj.org/article/ff5413c9c9094476a70a41a524046e53 kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158217301651 kostenfrei https://doaj.org/toc/2213-1582 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 15 2017 843-853
language	English
source	In NeuroImage: Clinical 15(2017), Seite 843-853 volume:15 year:2017 pages:843-853
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authorswithroles_txt_mv	Martijn D. Steenwijk @@aut@@ Houshang Amiri @@aut@@ Menno M. Schoonheim @@aut@@ Alexandra de Sitter @@aut@@ Frederik Barkhof @@aut@@ Petra J.W. Pouwels @@aut@@ Hugo Vrenken @@aut@@
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title	Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy
ctrlnum	(DE-627)DOAJ046616454 (DE-599)DOAJff5413c9c9094476a70a41a524046e53
title_full	Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy
author_sort	Martijn D. Steenwijk
journal	NeuroImage: Clinical
journalStr	NeuroImage: Clinical
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author_browse	Martijn D. Steenwijk Houshang Amiri Menno M. Schoonheim Alexandra de Sitter Frederik Barkhof Petra J.W. Pouwels Hugo Vrenken
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format_se	Elektronische Aufsätze
author-letter	Martijn D. Steenwijk
doi_str_mv	10.1016/j.nicl.2017.06.034
author2-role	verfasserin
title_sort	agreement of msmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy
callnumber	R858-859.7
title_auth	Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy
abstract	Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy
abstractGer	Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy
abstract_unstemmed	Introduction: Despite the recognized importance of atrophy in multiple sclerosis (MS), methods for its quantification have been mostly restricted to the research domain. Recently, a CE labelled and FDA approved MS-specific atrophy quantification method, MSmetrix, has become commercially available. Here we perform a validation of MSmetrix against established methods in simulated and in vivo MRI data. Methods: Whole-brain and gray matter (GM) volume were measured with the cross-sectional pipeline of MSmetrix and compared to the outcomes of FreeSurfer (cross-sectional pipeline), SIENAX and SPM. For this comparison we investigated 20 simulated brain images, as well as in vivo data from 100 MS patients and 20 matched healthy controls. In fifty of the MS patients a second time point was available. In this subgroup, we additionally analyzed the whole-brain and GM volume change using the longitudinal pipeline of MSmetrix and compared the results with those of FreeSurfer (longitudinal pipeline) and SIENA. Results: In the simulated data, SIENAX displayed the smallest average deviation compared with the reference whole-brain volume (+19.56±10.34mL), followed by MSmetrix (−38.15±17.77mL), SPM (−42.99±17.12mL) and FreeSurfer (−78.51±12.68mL). A similar pattern was seen in vivo. Among the cross-sectional methods, Deming regression analyses revealed proportional errors particularly in MSmetrix and SPM. The mean difference percentage brain volume change (PBVC) was lowest between longitudinal MSmetrix and SIENA (+0.16±0.91%). A strong proportional error was present between longitudinal percentage gray matter volume change (PGVC) measures of MSmetrix and FreeSurfer (slope=2.48). All longitudinal methods were sensitive to the MRI hardware upgrade that occurred during the time of the study. Conclusion: MSmetrix, FreeSurfer, FSL and SPM show differences in atrophy measurements, even at the whole-brain level, that are large compared to typical atrophy rates observed in MS. Especially striking are the proportional errors between methods. Cross-sectional MSmetrix behaved similarly to SPM, both in terms of mean volume difference as well as proportional error. Longitudinal MSmetrix behaved most similar to SIENA. Our results indicate that brain volume measurement and normalization from T1-weighted images remains an unsolved problem that requires much more attention. Keywords: Multiple sclerosis, MRI, Neurodegeneration, Gray matter, Atrophy
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title_short	Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy
url	https://doi.org/10.1016/j.nicl.2017.06.034 https://doaj.org/article/ff5413c9c9094476a70a41a524046e53 http://www.sciencedirect.com/science/article/pii/S2213158217301651 https://doaj.org/toc/2213-1582
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author2	Houshang Amiri Menno M. Schoonheim Alexandra de Sitter Frederik Barkhof Petra J.W. Pouwels Hugo Vrenken
author2Str	Houshang Amiri Menno M. Schoonheim Alexandra de Sitter Frederik Barkhof Petra J.W. Pouwels Hugo Vrenken
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doi_str	10.1016/j.nicl.2017.06.034
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up_date	2024-07-03T21:38:58.168Z
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Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy

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