A kinetics-based approach to amyloid PET semi-quantification
Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chincarini, A. [verfasserIn] Peira, E. [verfasserIn] Corosu, M. [verfasserIn] Morbelli, S. [verfasserIn] Bauckneht, M. [verfasserIn] Capitanio, S. [verfasserIn] Pardini, M. [verfasserIn] Arnaldi, D. [verfasserIn] Vellani, C. [verfasserIn] D’Ambrosio, D. [verfasserIn] Garibotto, V. [verfasserIn] Assal, F. [verfasserIn] Paghera, B. [verfasserIn] Savelli, G. [verfasserIn] Stefanelli, A. [verfasserIn] Guerra, U. P. [verfasserIn] Nobili, F. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: European journal of nuclear medicine and molecular imaging - Heidelberg [u.a.] : Springer-Verl., 2002, 47(2020), 9 vom: 25. Jan., Seite 2175-2185 |
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| Übergeordnetes Werk: |
volume:47 ; year:2020 ; number:9 ; day:25 ; month:01 ; pages:2175-2185 |
| Links: |
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| DOI / URN: |
10.1007/s00259-020-04689-y |
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| Katalog-ID: |
SPR040253457 |
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| 100 | 1 | |a Chincarini, A. |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A kinetics-based approach to amyloid PET semi-quantification |
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| 520 | |a Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. | ||
| 650 | 4 | |a Amyloid PET |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Semi-quantification |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Tracer kinetics |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Fluorinated tracer |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Peira, E. |e verfasserin |4 aut | |
| 700 | 1 | |a Corosu, M. |e verfasserin |4 aut | |
| 700 | 1 | |a Morbelli, S. |e verfasserin |4 aut | |
| 700 | 1 | |a Bauckneht, M. |e verfasserin |4 aut | |
| 700 | 1 | |a Capitanio, S. |e verfasserin |4 aut | |
| 700 | 1 | |a Pardini, M. |e verfasserin |4 aut | |
| 700 | 1 | |a Arnaldi, D. |e verfasserin |4 aut | |
| 700 | 1 | |a Vellani, C. |e verfasserin |4 aut | |
| 700 | 1 | |a D’Ambrosio, D. |e verfasserin |4 aut | |
| 700 | 1 | |a Garibotto, V. |e verfasserin |4 aut | |
| 700 | 1 | |a Assal, F. |e verfasserin |4 aut | |
| 700 | 1 | |a Paghera, B. |e verfasserin |4 aut | |
| 700 | 1 | |a Savelli, G. |e verfasserin |4 aut | |
| 700 | 1 | |a Stefanelli, A. |e verfasserin |4 aut | |
| 700 | 1 | |a Guerra, U. P. |e verfasserin |4 aut | |
| 700 | 1 | |a Nobili, F. |e verfasserin |4 aut | |
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10.1007/s00259-020-04689-y doi (DE-627)SPR040253457 (SPR)s00259-020-04689-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Chincarini, A. verfasserin aut A kinetics-based approach to amyloid PET semi-quantification 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. Amyloid PET (dpeaa)DE-He213 Semi-quantification (dpeaa)DE-He213 Tracer kinetics (dpeaa)DE-He213 Fluorinated tracer (dpeaa)DE-He213 Peira, E. verfasserin aut Corosu, M. verfasserin aut Morbelli, S. verfasserin aut Bauckneht, M. verfasserin aut Capitanio, S. verfasserin aut Pardini, M. verfasserin aut Arnaldi, D. verfasserin aut Vellani, C. verfasserin aut D’Ambrosio, D. verfasserin aut Garibotto, V. verfasserin aut Assal, F. verfasserin aut Paghera, B. verfasserin aut Savelli, G. verfasserin aut Stefanelli, A. verfasserin aut Guerra, U. P. verfasserin aut Nobili, F. verfasserin aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 47(2020), 9 vom: 25. Jan., Seite 2175-2185 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:47 year:2020 number:9 day:25 month:01 pages:2175-2185 https://dx.doi.org/10.1007/s00259-020-04689-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.64 ASE AR 47 2020 9 25 01 2175-2185 |
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10.1007/s00259-020-04689-y doi (DE-627)SPR040253457 (SPR)s00259-020-04689-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Chincarini, A. verfasserin aut A kinetics-based approach to amyloid PET semi-quantification 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. Amyloid PET (dpeaa)DE-He213 Semi-quantification (dpeaa)DE-He213 Tracer kinetics (dpeaa)DE-He213 Fluorinated tracer (dpeaa)DE-He213 Peira, E. verfasserin aut Corosu, M. verfasserin aut Morbelli, S. verfasserin aut Bauckneht, M. verfasserin aut Capitanio, S. verfasserin aut Pardini, M. verfasserin aut Arnaldi, D. verfasserin aut Vellani, C. verfasserin aut D’Ambrosio, D. verfasserin aut Garibotto, V. verfasserin aut Assal, F. verfasserin aut Paghera, B. verfasserin aut Savelli, G. verfasserin aut Stefanelli, A. verfasserin aut Guerra, U. P. verfasserin aut Nobili, F. verfasserin aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 47(2020), 9 vom: 25. Jan., Seite 2175-2185 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:47 year:2020 number:9 day:25 month:01 pages:2175-2185 https://dx.doi.org/10.1007/s00259-020-04689-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.64 ASE AR 47 2020 9 25 01 2175-2185 |
| allfields_unstemmed |
10.1007/s00259-020-04689-y doi (DE-627)SPR040253457 (SPR)s00259-020-04689-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Chincarini, A. verfasserin aut A kinetics-based approach to amyloid PET semi-quantification 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. Amyloid PET (dpeaa)DE-He213 Semi-quantification (dpeaa)DE-He213 Tracer kinetics (dpeaa)DE-He213 Fluorinated tracer (dpeaa)DE-He213 Peira, E. verfasserin aut Corosu, M. verfasserin aut Morbelli, S. verfasserin aut Bauckneht, M. verfasserin aut Capitanio, S. verfasserin aut Pardini, M. verfasserin aut Arnaldi, D. verfasserin aut Vellani, C. verfasserin aut D’Ambrosio, D. verfasserin aut Garibotto, V. verfasserin aut Assal, F. verfasserin aut Paghera, B. verfasserin aut Savelli, G. verfasserin aut Stefanelli, A. verfasserin aut Guerra, U. P. verfasserin aut Nobili, F. verfasserin aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 47(2020), 9 vom: 25. Jan., Seite 2175-2185 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:47 year:2020 number:9 day:25 month:01 pages:2175-2185 https://dx.doi.org/10.1007/s00259-020-04689-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.64 ASE AR 47 2020 9 25 01 2175-2185 |
| allfieldsGer |
10.1007/s00259-020-04689-y doi (DE-627)SPR040253457 (SPR)s00259-020-04689-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Chincarini, A. verfasserin aut A kinetics-based approach to amyloid PET semi-quantification 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. Amyloid PET (dpeaa)DE-He213 Semi-quantification (dpeaa)DE-He213 Tracer kinetics (dpeaa)DE-He213 Fluorinated tracer (dpeaa)DE-He213 Peira, E. verfasserin aut Corosu, M. verfasserin aut Morbelli, S. verfasserin aut Bauckneht, M. verfasserin aut Capitanio, S. verfasserin aut Pardini, M. verfasserin aut Arnaldi, D. verfasserin aut Vellani, C. verfasserin aut D’Ambrosio, D. verfasserin aut Garibotto, V. verfasserin aut Assal, F. verfasserin aut Paghera, B. verfasserin aut Savelli, G. verfasserin aut Stefanelli, A. verfasserin aut Guerra, U. P. verfasserin aut Nobili, F. verfasserin aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 47(2020), 9 vom: 25. Jan., Seite 2175-2185 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:47 year:2020 number:9 day:25 month:01 pages:2175-2185 https://dx.doi.org/10.1007/s00259-020-04689-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.64 ASE AR 47 2020 9 25 01 2175-2185 |
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10.1007/s00259-020-04689-y doi (DE-627)SPR040253457 (SPR)s00259-020-04689-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Chincarini, A. verfasserin aut A kinetics-based approach to amyloid PET semi-quantification 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. Amyloid PET (dpeaa)DE-He213 Semi-quantification (dpeaa)DE-He213 Tracer kinetics (dpeaa)DE-He213 Fluorinated tracer (dpeaa)DE-He213 Peira, E. verfasserin aut Corosu, M. verfasserin aut Morbelli, S. verfasserin aut Bauckneht, M. verfasserin aut Capitanio, S. verfasserin aut Pardini, M. verfasserin aut Arnaldi, D. verfasserin aut Vellani, C. verfasserin aut D’Ambrosio, D. verfasserin aut Garibotto, V. verfasserin aut Assal, F. verfasserin aut Paghera, B. verfasserin aut Savelli, G. verfasserin aut Stefanelli, A. verfasserin aut Guerra, U. P. verfasserin aut Nobili, F. verfasserin aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 47(2020), 9 vom: 25. Jan., Seite 2175-2185 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:47 year:2020 number:9 day:25 month:01 pages:2175-2185 https://dx.doi.org/10.1007/s00259-020-04689-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.64 ASE AR 47 2020 9 25 01 2175-2185 |
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Enthalten in European journal of nuclear medicine and molecular imaging 47(2020), 9 vom: 25. Jan., Seite 2175-2185 volume:47 year:2020 number:9 day:25 month:01 pages:2175-2185 |
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Amyloid PET Semi-quantification Tracer kinetics Fluorinated tracer |
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Chincarini, A. @@aut@@ Peira, E. @@aut@@ Corosu, M. @@aut@@ Morbelli, S. @@aut@@ Bauckneht, M. @@aut@@ Capitanio, S. @@aut@@ Pardini, M. @@aut@@ Arnaldi, D. @@aut@@ Vellani, C. @@aut@@ D’Ambrosio, D. @@aut@@ Garibotto, V. @@aut@@ Assal, F. @@aut@@ Paghera, B. @@aut@@ Savelli, G. @@aut@@ Stefanelli, A. @@aut@@ Guerra, U. P. @@aut@@ Nobili, F. @@aut@@ |
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Chincarini, A. |
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Chincarini, A. ddc 610 bkl 44.64 misc Amyloid PET misc Semi-quantification misc Tracer kinetics misc Fluorinated tracer A kinetics-based approach to amyloid PET semi-quantification |
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610 ASE 44.64 bkl A kinetics-based approach to amyloid PET semi-quantification Amyloid PET (dpeaa)DE-He213 Semi-quantification (dpeaa)DE-He213 Tracer kinetics (dpeaa)DE-He213 Fluorinated tracer (dpeaa)DE-He213 |
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ddc 610 bkl 44.64 misc Amyloid PET misc Semi-quantification misc Tracer kinetics misc Fluorinated tracer |
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ddc 610 bkl 44.64 misc Amyloid PET misc Semi-quantification misc Tracer kinetics misc Fluorinated tracer |
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European journal of nuclear medicine and molecular imaging |
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A kinetics-based approach to amyloid PET semi-quantification |
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A kinetics-based approach to amyloid PET semi-quantification |
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European journal of nuclear medicine and molecular imaging |
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Chincarini, A. Peira, E. Corosu, M. Morbelli, S. Bauckneht, M. Capitanio, S. Pardini, M. Arnaldi, D. Vellani, C. D’Ambrosio, D. Garibotto, V. Assal, F. Paghera, B. Savelli, G. Stefanelli, A. Guerra, U. P. Nobili, F. |
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kinetics-based approach to amyloid pet semi-quantification |
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A kinetics-based approach to amyloid PET semi-quantification |
| abstract |
Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. |
| abstractGer |
Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. |
| abstract_unstemmed |
Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR040253457</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519170639.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00259-020-04689-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR040253457</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00259-020-04689-y-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="084" ind1=" " ind2=" "><subfield code="a">44.64</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chincarini, A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A kinetics-based approach to amyloid PET semi-quantification</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</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">Purpose To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. Methods The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. Results TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. Conclusions TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. 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