O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres

Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET us...
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Autor*in:	Filss, Christian P. [verfasserIn] Albert, Nathalie L. [verfasserIn] Böning, Guido [verfasserIn] Kops, Elena Rota [verfasserIn] Suchorska, Bogdana [verfasserIn] Stoffels, Gabriele [verfasserIn] Galldiks, Norbert [verfasserIn] Shah, Nadim J. [verfasserIn] Mottaghy, Felix M. [verfasserIn] Bartenstein, Peter [verfasserIn] Tonn, Jörg C. [verfasserIn] Langen, Karl-Josef [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Brain tumours FET PET Tumour-to-brain ratios Dynamic FET PET

Übergeordnetes Werk:	Enthalten in: EJNMMI Research - Berlin : Springer, 2011, 7(2017), 1 vom: 16. Aug.
Übergeordnetes Werk:	volume:7 ; year:2017 ; number:1 ; day:16 ; month:08

Links:	Volltext

DOI / URN:	10.1186/s13550-017-0316-x

Katalog-ID:	SPR031782582

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520			\|a Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres.
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700	1		\|a Tonn, Jörg C. \|e verfasserin \|4 aut
700	1		\|a Langen, Karl-Josef \|e verfasserin \|4 aut
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allfields	10.1186/s13550-017-0316-x doi (DE-627)SPR031782582 (SPR)s13550-017-0316-x-e DE-627 ger DE-627 rakwb eng 610 ASE Filss, Christian P. verfasserin aut O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres. Brain tumours (dpeaa)DE-He213 FET PET (dpeaa)DE-He213 Tumour-to-brain ratios (dpeaa)DE-He213 Dynamic FET PET (dpeaa)DE-He213 Albert, Nathalie L. verfasserin aut Böning, Guido verfasserin aut Kops, Elena Rota verfasserin aut Suchorska, Bogdana verfasserin aut Stoffels, Gabriele verfasserin aut Galldiks, Norbert verfasserin aut Shah, Nadim J. verfasserin aut Mottaghy, Felix M. verfasserin aut Bartenstein, Peter verfasserin aut Tonn, Jörg C. verfasserin aut Langen, Karl-Josef verfasserin aut Enthalten in EJNMMI Research Berlin : Springer, 2011 7(2017), 1 vom: 16. Aug. (DE-627)664970265 (DE-600)2619892-7 2191-219X nnns volume:7 year:2017 number:1 day:16 month:08 https://dx.doi.org/10.1186/s13550-017-0316-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 7 2017 1 16 08
spelling	10.1186/s13550-017-0316-x doi (DE-627)SPR031782582 (SPR)s13550-017-0316-x-e DE-627 ger DE-627 rakwb eng 610 ASE Filss, Christian P. verfasserin aut O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres. Brain tumours (dpeaa)DE-He213 FET PET (dpeaa)DE-He213 Tumour-to-brain ratios (dpeaa)DE-He213 Dynamic FET PET (dpeaa)DE-He213 Albert, Nathalie L. verfasserin aut Böning, Guido verfasserin aut Kops, Elena Rota verfasserin aut Suchorska, Bogdana verfasserin aut Stoffels, Gabriele verfasserin aut Galldiks, Norbert verfasserin aut Shah, Nadim J. verfasserin aut Mottaghy, Felix M. verfasserin aut Bartenstein, Peter verfasserin aut Tonn, Jörg C. verfasserin aut Langen, Karl-Josef verfasserin aut Enthalten in EJNMMI Research Berlin : Springer, 2011 7(2017), 1 vom: 16. Aug. (DE-627)664970265 (DE-600)2619892-7 2191-219X nnns volume:7 year:2017 number:1 day:16 month:08 https://dx.doi.org/10.1186/s13550-017-0316-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 7 2017 1 16 08
allfields_unstemmed	10.1186/s13550-017-0316-x doi (DE-627)SPR031782582 (SPR)s13550-017-0316-x-e DE-627 ger DE-627 rakwb eng 610 ASE Filss, Christian P. verfasserin aut O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres. Brain tumours (dpeaa)DE-He213 FET PET (dpeaa)DE-He213 Tumour-to-brain ratios (dpeaa)DE-He213 Dynamic FET PET (dpeaa)DE-He213 Albert, Nathalie L. verfasserin aut Böning, Guido verfasserin aut Kops, Elena Rota verfasserin aut Suchorska, Bogdana verfasserin aut Stoffels, Gabriele verfasserin aut Galldiks, Norbert verfasserin aut Shah, Nadim J. verfasserin aut Mottaghy, Felix M. verfasserin aut Bartenstein, Peter verfasserin aut Tonn, Jörg C. verfasserin aut Langen, Karl-Josef verfasserin aut Enthalten in EJNMMI Research Berlin : Springer, 2011 7(2017), 1 vom: 16. Aug. (DE-627)664970265 (DE-600)2619892-7 2191-219X nnns volume:7 year:2017 number:1 day:16 month:08 https://dx.doi.org/10.1186/s13550-017-0316-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 7 2017 1 16 08
allfieldsGer	10.1186/s13550-017-0316-x doi (DE-627)SPR031782582 (SPR)s13550-017-0316-x-e DE-627 ger DE-627 rakwb eng 610 ASE Filss, Christian P. verfasserin aut O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres. Brain tumours (dpeaa)DE-He213 FET PET (dpeaa)DE-He213 Tumour-to-brain ratios (dpeaa)DE-He213 Dynamic FET PET (dpeaa)DE-He213 Albert, Nathalie L. verfasserin aut Böning, Guido verfasserin aut Kops, Elena Rota verfasserin aut Suchorska, Bogdana verfasserin aut Stoffels, Gabriele verfasserin aut Galldiks, Norbert verfasserin aut Shah, Nadim J. verfasserin aut Mottaghy, Felix M. verfasserin aut Bartenstein, Peter verfasserin aut Tonn, Jörg C. verfasserin aut Langen, Karl-Josef verfasserin aut Enthalten in EJNMMI Research Berlin : Springer, 2011 7(2017), 1 vom: 16. Aug. (DE-627)664970265 (DE-600)2619892-7 2191-219X nnns volume:7 year:2017 number:1 day:16 month:08 https://dx.doi.org/10.1186/s13550-017-0316-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 7 2017 1 16 08
allfieldsSound	10.1186/s13550-017-0316-x doi (DE-627)SPR031782582 (SPR)s13550-017-0316-x-e DE-627 ger DE-627 rakwb eng 610 ASE Filss, Christian P. verfasserin aut O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres. Brain tumours (dpeaa)DE-He213 FET PET (dpeaa)DE-He213 Tumour-to-brain ratios (dpeaa)DE-He213 Dynamic FET PET (dpeaa)DE-He213 Albert, Nathalie L. verfasserin aut Böning, Guido verfasserin aut Kops, Elena Rota verfasserin aut Suchorska, Bogdana verfasserin aut Stoffels, Gabriele verfasserin aut Galldiks, Norbert verfasserin aut Shah, Nadim J. verfasserin aut Mottaghy, Felix M. verfasserin aut Bartenstein, Peter verfasserin aut Tonn, Jörg C. verfasserin aut Langen, Karl-Josef verfasserin aut Enthalten in EJNMMI Research Berlin : Springer, 2011 7(2017), 1 vom: 16. Aug. (DE-627)664970265 (DE-600)2619892-7 2191-219X nnns volume:7 year:2017 number:1 day:16 month:08 https://dx.doi.org/10.1186/s13550-017-0316-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 7 2017 1 16 08
language	English
source	Enthalten in EJNMMI Research 7(2017), 1 vom: 16. Aug. volume:7 year:2017 number:1 day:16 month:08
sourceStr	Enthalten in EJNMMI Research 7(2017), 1 vom: 16. Aug. volume:7 year:2017 number:1 day:16 month:08
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Brain tumours FET PET Tumour-to-brain ratios Dynamic FET PET
dewey-raw	610
isfreeaccess_bool	true
container_title	EJNMMI Research
authorswithroles_txt_mv	Filss, Christian P. @@aut@@ Albert, Nathalie L. @@aut@@ Böning, Guido @@aut@@ Kops, Elena Rota @@aut@@ Suchorska, Bogdana @@aut@@ Stoffels, Gabriele @@aut@@ Galldiks, Norbert @@aut@@ Shah, Nadim J. @@aut@@ Mottaghy, Felix M. @@aut@@ Bartenstein, Peter @@aut@@ Tonn, Jörg C. @@aut@@ Langen, Karl-Josef @@aut@@
publishDateDaySort_date	2017-08-16T00:00:00Z
hierarchy_top_id	664970265
dewey-sort	3610
id	SPR031782582
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR031782582</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519140538.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2017 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s13550-017-0316-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR031782582</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13550-017-0316-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Filss, Christian P.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. 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author	Filss, Christian P.
spellingShingle	Filss, Christian P. ddc 610 misc Brain tumours misc FET PET misc Tumour-to-brain ratios misc Dynamic FET PET O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres
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topic_title	610 ASE O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres Brain tumours (dpeaa)DE-He213 FET PET (dpeaa)DE-He213 Tumour-to-brain ratios (dpeaa)DE-He213 Dynamic FET PET (dpeaa)DE-He213
topic	ddc 610 misc Brain tumours misc FET PET misc Tumour-to-brain ratios misc Dynamic FET PET
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title	O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres
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title_full	O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres
author_sort	Filss, Christian P.
journal	EJNMMI Research
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author_browse	Filss, Christian P. Albert, Nathalie L. Böning, Guido Kops, Elena Rota Suchorska, Bogdana Stoffels, Gabriele Galldiks, Norbert Shah, Nadim J. Mottaghy, Felix M. Bartenstein, Peter Tonn, Jörg C. Langen, Karl-Josef
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author-letter	Filss, Christian P.
doi_str_mv	10.1186/s13550-017-0316-x
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title_sort	o-(2-[18f]fluoroethyl)-l-tyrosine pet in gliomas: influence of data processing in different centres
title_auth	O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres
abstract	Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres.
abstractGer	Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres.
abstract_unstemmed	Background PET using O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) is an established method for brain tumour diagnostics, but data processing varies in different centres. This study analyses the influence of methodological differences between two centres for tumour characterization with 18F-FET PET using the same PET scanner. Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume ($ T_{vol} $) and (4) ROI definition to determine time activity curves (TACs) in the tumour. Based on the 18F-FET PET data of 40 patients with untreated cerebral gliomas (20 WHO grade II, 10 WHO grade III, 10 WHO grade IV), the effect of different data processing in the two centres on $ TBR_{mean} $, $ TBR_{max} $, $ T_{vol} $, time-to-peak (TTP) and slope of the TAC was compared. Further, the effect on tumour grading was evaluated by ROC analysis. Results Significant differences between centres A and B were found especially for $ TBR_{max} $ (2.84 ± 0.99 versus 3.34 ± 1.13; p < 0.001), $ T_{vol} $ (1.14 ± 1.28 versus 1.51 ± 1.44; p < 0.001) and TTP (22.4 ± 8.3 min versus 30.8 ± 6.3 min; p < 0.001) and minor differences for $ TBR_{mean} $ and slope. Tumour grading was not influenced by different data processing. Conclusions Variable data processing of 18F-FET PET in different centres leads to significant differences especially for $ TBR_{max} $ and $ T_{vol} $. A standardization of data processing and evaluation is needed to make 18F-FET PET comparable between different centres.
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title_short	O-(2-[18F]fluoroethyl)-l-tyrosine PET in gliomas: influence of data processing in different centres
url	https://dx.doi.org/10.1186/s13550-017-0316-x
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author2	Albert, Nathalie L. Böning, Guido Kops, Elena Rota Suchorska, Bogdana Stoffels, Gabriele Galldiks, Norbert Shah, Nadim J. Mottaghy, Felix M. Bartenstein, Peter Tonn, Jörg C. Langen, Karl-Josef
author2Str	Albert, Nathalie L. Böning, Guido Kops, Elena Rota Suchorska, Bogdana Stoffels, Gabriele Galldiks, Norbert Shah, Nadim J. Mottaghy, Felix M. Bartenstein, Peter Tonn, Jörg C. Langen, Karl-Josef
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up_date	2024-07-04T01:13:07.912Z
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