Validation of cardiac image-derived input functions for functional PET quantification
Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Reed, Murray Bruce [verfasserIn] Handschuh, Patricia Anna [verfasserIn] Schmidt, Clemens [verfasserIn] Murgaš, Matej [verfasserIn] Gomola, David [verfasserIn] Milz, Christian [verfasserIn] Klug, Sebastian [verfasserIn] Eggerstorfer, Benjamin [verfasserIn] Aichinger, Lisa [verfasserIn] Godbersen, Godber Mathis [verfasserIn] Nics, Lukas [verfasserIn] Traub-Weidinger, Tatjana [verfasserIn] Hacker, Marcus [verfasserIn] Lanzenberger, Rupert [verfasserIn] Hahn, Andreas [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
Image-derived input function (IDIF) Functional positron emission tomography (fPET) |
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| Anmerkung: |
© The Author(s) 2024 |
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| Übergeordnetes Werk: |
Enthalten in: European journal of nuclear medicine and molecular imaging - Springer Berlin Heidelberg, 2002, 51(2024), 9 vom: 27. Apr., Seite 2625-2637 |
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| Übergeordnetes Werk: |
volume:51 ; year:2024 ; number:9 ; day:27 ; month:04 ; pages:2625-2637 |
| Links: |
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| DOI / URN: |
10.1007/s00259-024-06716-8 |
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| Katalog-ID: |
SPR056466994 |
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| 100 | 1 | |a Reed, Murray Bruce |e verfasserin |0 (orcid)0000-0002-4873-608X |4 aut | |
| 245 | 1 | 0 | |a Validation of cardiac image-derived input functions for functional PET quantification |
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| 520 | |a Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. | ||
| 650 | 4 | |a Image-derived input function (IDIF) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Arterial input function (AIF) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Functional positron emission tomography (fPET) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a [ |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a F]2-fluoro-2-deoxy-D-glucose ([ |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a F]FDG) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a 6-[ |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a F]-fluoro-l-dopa (6-[ |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a F]FDOPA) |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Handschuh, Patricia Anna |e verfasserin |0 (orcid)0000-0003-3524-3646 |4 aut | |
| 700 | 1 | |a Schmidt, Clemens |e verfasserin |0 (orcid)0000-0003-3138-6869 |4 aut | |
| 700 | 1 | |a Murgaš, Matej |e verfasserin |0 (orcid)0000-0001-7643-2182 |4 aut | |
| 700 | 1 | |a Gomola, David |e verfasserin |0 (orcid)0009-0002-2059-6481 |4 aut | |
| 700 | 1 | |a Milz, Christian |e verfasserin |0 (orcid)0000-0002-1347-0744 |4 aut | |
| 700 | 1 | |a Klug, Sebastian |e verfasserin |0 (orcid)0000-0001-8714-6608 |4 aut | |
| 700 | 1 | |a Eggerstorfer, Benjamin |e verfasserin |0 (orcid)0000-0002-3400-2181 |4 aut | |
| 700 | 1 | |a Aichinger, Lisa |e verfasserin |0 (orcid)0000-0002-5682-1639 |4 aut | |
| 700 | 1 | |a Godbersen, Godber Mathis |e verfasserin |0 (orcid)0000-0002-9739-0724 |4 aut | |
| 700 | 1 | |a Nics, Lukas |e verfasserin |0 (orcid)0000-0002-1034-876X |4 aut | |
| 700 | 1 | |a Traub-Weidinger, Tatjana |e verfasserin |0 (orcid)0000-0003-1118-926X |4 aut | |
| 700 | 1 | |a Hacker, Marcus |e verfasserin |0 (orcid)0000-0002-4222-4083 |4 aut | |
| 700 | 1 | |a Lanzenberger, Rupert |e verfasserin |0 (orcid)0000-0003-4641-9539 |4 aut | |
| 700 | 1 | |a Hahn, Andreas |e verfasserin |0 (orcid)0000-0001-9727-7580 |4 aut | |
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10.1007/s00259-024-06716-8 doi (DE-627)SPR056466994 (SPR)s00259-024-06716-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.64 bkl Reed, Murray Bruce verfasserin (orcid)0000-0002-4873-608X aut Validation of cardiac image-derived input functions for functional PET quantification 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. Image-derived input function (IDIF) (dpeaa)DE-He213 Arterial input function (AIF) (dpeaa)DE-He213 Functional positron emission tomography (fPET) (dpeaa)DE-He213 [ (dpeaa)DE-He213 F]2-fluoro-2-deoxy-D-glucose ([ (dpeaa)DE-He213 F]FDG) (dpeaa)DE-He213 6-[ (dpeaa)DE-He213 F]-fluoro-l-dopa (6-[ (dpeaa)DE-He213 F]FDOPA) (dpeaa)DE-He213 Handschuh, Patricia Anna verfasserin (orcid)0000-0003-3524-3646 aut Schmidt, Clemens verfasserin (orcid)0000-0003-3138-6869 aut Murgaš, Matej verfasserin (orcid)0000-0001-7643-2182 aut Gomola, David verfasserin (orcid)0009-0002-2059-6481 aut Milz, Christian verfasserin (orcid)0000-0002-1347-0744 aut Klug, Sebastian verfasserin (orcid)0000-0001-8714-6608 aut Eggerstorfer, Benjamin verfasserin (orcid)0000-0002-3400-2181 aut Aichinger, Lisa verfasserin (orcid)0000-0002-5682-1639 aut Godbersen, Godber Mathis verfasserin (orcid)0000-0002-9739-0724 aut Nics, Lukas verfasserin (orcid)0000-0002-1034-876X aut Traub-Weidinger, Tatjana verfasserin (orcid)0000-0003-1118-926X aut Hacker, Marcus verfasserin (orcid)0000-0002-4222-4083 aut Lanzenberger, Rupert verfasserin (orcid)0000-0003-4641-9539 aut Hahn, Andreas verfasserin (orcid)0000-0001-9727-7580 aut Enthalten in European journal of nuclear medicine and molecular imaging Springer Berlin Heidelberg, 2002 51(2024), 9 vom: 27. Apr., Seite 2625-2637 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:51 year:2024 number:9 day:27 month:04 pages:2625-2637 https://dx.doi.org/10.1007/s00259-024-06716-8 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_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 VZ AR 51 2024 9 27 04 2625-2637 |
| spelling |
10.1007/s00259-024-06716-8 doi (DE-627)SPR056466994 (SPR)s00259-024-06716-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.64 bkl Reed, Murray Bruce verfasserin (orcid)0000-0002-4873-608X aut Validation of cardiac image-derived input functions for functional PET quantification 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. Image-derived input function (IDIF) (dpeaa)DE-He213 Arterial input function (AIF) (dpeaa)DE-He213 Functional positron emission tomography (fPET) (dpeaa)DE-He213 [ (dpeaa)DE-He213 F]2-fluoro-2-deoxy-D-glucose ([ (dpeaa)DE-He213 F]FDG) (dpeaa)DE-He213 6-[ (dpeaa)DE-He213 F]-fluoro-l-dopa (6-[ (dpeaa)DE-He213 F]FDOPA) (dpeaa)DE-He213 Handschuh, Patricia Anna verfasserin (orcid)0000-0003-3524-3646 aut Schmidt, Clemens verfasserin (orcid)0000-0003-3138-6869 aut Murgaš, Matej verfasserin (orcid)0000-0001-7643-2182 aut Gomola, David verfasserin (orcid)0009-0002-2059-6481 aut Milz, Christian verfasserin (orcid)0000-0002-1347-0744 aut Klug, Sebastian verfasserin (orcid)0000-0001-8714-6608 aut Eggerstorfer, Benjamin verfasserin (orcid)0000-0002-3400-2181 aut Aichinger, Lisa verfasserin (orcid)0000-0002-5682-1639 aut Godbersen, Godber Mathis verfasserin (orcid)0000-0002-9739-0724 aut Nics, Lukas verfasserin (orcid)0000-0002-1034-876X aut Traub-Weidinger, Tatjana verfasserin (orcid)0000-0003-1118-926X aut Hacker, Marcus verfasserin (orcid)0000-0002-4222-4083 aut Lanzenberger, Rupert verfasserin (orcid)0000-0003-4641-9539 aut Hahn, Andreas verfasserin (orcid)0000-0001-9727-7580 aut Enthalten in European journal of nuclear medicine and molecular imaging Springer Berlin Heidelberg, 2002 51(2024), 9 vom: 27. Apr., Seite 2625-2637 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:51 year:2024 number:9 day:27 month:04 pages:2625-2637 https://dx.doi.org/10.1007/s00259-024-06716-8 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_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 VZ AR 51 2024 9 27 04 2625-2637 |
| allfields_unstemmed |
10.1007/s00259-024-06716-8 doi (DE-627)SPR056466994 (SPR)s00259-024-06716-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.64 bkl Reed, Murray Bruce verfasserin (orcid)0000-0002-4873-608X aut Validation of cardiac image-derived input functions for functional PET quantification 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. Image-derived input function (IDIF) (dpeaa)DE-He213 Arterial input function (AIF) (dpeaa)DE-He213 Functional positron emission tomography (fPET) (dpeaa)DE-He213 [ (dpeaa)DE-He213 F]2-fluoro-2-deoxy-D-glucose ([ (dpeaa)DE-He213 F]FDG) (dpeaa)DE-He213 6-[ (dpeaa)DE-He213 F]-fluoro-l-dopa (6-[ (dpeaa)DE-He213 F]FDOPA) (dpeaa)DE-He213 Handschuh, Patricia Anna verfasserin (orcid)0000-0003-3524-3646 aut Schmidt, Clemens verfasserin (orcid)0000-0003-3138-6869 aut Murgaš, Matej verfasserin (orcid)0000-0001-7643-2182 aut Gomola, David verfasserin (orcid)0009-0002-2059-6481 aut Milz, Christian verfasserin (orcid)0000-0002-1347-0744 aut Klug, Sebastian verfasserin (orcid)0000-0001-8714-6608 aut Eggerstorfer, Benjamin verfasserin (orcid)0000-0002-3400-2181 aut Aichinger, Lisa verfasserin (orcid)0000-0002-5682-1639 aut Godbersen, Godber Mathis verfasserin (orcid)0000-0002-9739-0724 aut Nics, Lukas verfasserin (orcid)0000-0002-1034-876X aut Traub-Weidinger, Tatjana verfasserin (orcid)0000-0003-1118-926X aut Hacker, Marcus verfasserin (orcid)0000-0002-4222-4083 aut Lanzenberger, Rupert verfasserin (orcid)0000-0003-4641-9539 aut Hahn, Andreas verfasserin (orcid)0000-0001-9727-7580 aut Enthalten in European journal of nuclear medicine and molecular imaging Springer Berlin Heidelberg, 2002 51(2024), 9 vom: 27. Apr., Seite 2625-2637 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:51 year:2024 number:9 day:27 month:04 pages:2625-2637 https://dx.doi.org/10.1007/s00259-024-06716-8 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_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 VZ AR 51 2024 9 27 04 2625-2637 |
| allfieldsGer |
10.1007/s00259-024-06716-8 doi (DE-627)SPR056466994 (SPR)s00259-024-06716-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.64 bkl Reed, Murray Bruce verfasserin (orcid)0000-0002-4873-608X aut Validation of cardiac image-derived input functions for functional PET quantification 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. Image-derived input function (IDIF) (dpeaa)DE-He213 Arterial input function (AIF) (dpeaa)DE-He213 Functional positron emission tomography (fPET) (dpeaa)DE-He213 [ (dpeaa)DE-He213 F]2-fluoro-2-deoxy-D-glucose ([ (dpeaa)DE-He213 F]FDG) (dpeaa)DE-He213 6-[ (dpeaa)DE-He213 F]-fluoro-l-dopa (6-[ (dpeaa)DE-He213 F]FDOPA) (dpeaa)DE-He213 Handschuh, Patricia Anna verfasserin (orcid)0000-0003-3524-3646 aut Schmidt, Clemens verfasserin (orcid)0000-0003-3138-6869 aut Murgaš, Matej verfasserin (orcid)0000-0001-7643-2182 aut Gomola, David verfasserin (orcid)0009-0002-2059-6481 aut Milz, Christian verfasserin (orcid)0000-0002-1347-0744 aut Klug, Sebastian verfasserin (orcid)0000-0001-8714-6608 aut Eggerstorfer, Benjamin verfasserin (orcid)0000-0002-3400-2181 aut Aichinger, Lisa verfasserin (orcid)0000-0002-5682-1639 aut Godbersen, Godber Mathis verfasserin (orcid)0000-0002-9739-0724 aut Nics, Lukas verfasserin (orcid)0000-0002-1034-876X aut Traub-Weidinger, Tatjana verfasserin (orcid)0000-0003-1118-926X aut Hacker, Marcus verfasserin (orcid)0000-0002-4222-4083 aut Lanzenberger, Rupert verfasserin (orcid)0000-0003-4641-9539 aut Hahn, Andreas verfasserin (orcid)0000-0001-9727-7580 aut Enthalten in European journal of nuclear medicine and molecular imaging Springer Berlin Heidelberg, 2002 51(2024), 9 vom: 27. Apr., Seite 2625-2637 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:51 year:2024 number:9 day:27 month:04 pages:2625-2637 https://dx.doi.org/10.1007/s00259-024-06716-8 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_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 VZ AR 51 2024 9 27 04 2625-2637 |
| allfieldsSound |
10.1007/s00259-024-06716-8 doi (DE-627)SPR056466994 (SPR)s00259-024-06716-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.64 bkl Reed, Murray Bruce verfasserin (orcid)0000-0002-4873-608X aut Validation of cardiac image-derived input functions for functional PET quantification 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. Image-derived input function (IDIF) (dpeaa)DE-He213 Arterial input function (AIF) (dpeaa)DE-He213 Functional positron emission tomography (fPET) (dpeaa)DE-He213 [ (dpeaa)DE-He213 F]2-fluoro-2-deoxy-D-glucose ([ (dpeaa)DE-He213 F]FDG) (dpeaa)DE-He213 6-[ (dpeaa)DE-He213 F]-fluoro-l-dopa (6-[ (dpeaa)DE-He213 F]FDOPA) (dpeaa)DE-He213 Handschuh, Patricia Anna verfasserin (orcid)0000-0003-3524-3646 aut Schmidt, Clemens verfasserin (orcid)0000-0003-3138-6869 aut Murgaš, Matej verfasserin (orcid)0000-0001-7643-2182 aut Gomola, David verfasserin (orcid)0009-0002-2059-6481 aut Milz, Christian verfasserin (orcid)0000-0002-1347-0744 aut Klug, Sebastian verfasserin (orcid)0000-0001-8714-6608 aut Eggerstorfer, Benjamin verfasserin (orcid)0000-0002-3400-2181 aut Aichinger, Lisa verfasserin (orcid)0000-0002-5682-1639 aut Godbersen, Godber Mathis verfasserin (orcid)0000-0002-9739-0724 aut Nics, Lukas verfasserin (orcid)0000-0002-1034-876X aut Traub-Weidinger, Tatjana verfasserin (orcid)0000-0003-1118-926X aut Hacker, Marcus verfasserin (orcid)0000-0002-4222-4083 aut Lanzenberger, Rupert verfasserin (orcid)0000-0003-4641-9539 aut Hahn, Andreas verfasserin (orcid)0000-0001-9727-7580 aut Enthalten in European journal of nuclear medicine and molecular imaging Springer Berlin Heidelberg, 2002 51(2024), 9 vom: 27. Apr., Seite 2625-2637 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:51 year:2024 number:9 day:27 month:04 pages:2625-2637 https://dx.doi.org/10.1007/s00259-024-06716-8 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 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_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 VZ AR 51 2024 9 27 04 2625-2637 |
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Enthalten in European journal of nuclear medicine and molecular imaging 51(2024), 9 vom: 27. Apr., Seite 2625-2637 volume:51 year:2024 number:9 day:27 month:04 pages:2625-2637 |
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Enthalten in European journal of nuclear medicine and molecular imaging 51(2024), 9 vom: 27. Apr., Seite 2625-2637 volume:51 year:2024 number:9 day:27 month:04 pages:2625-2637 |
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Image-derived input function (IDIF) Arterial input function (AIF) Functional positron emission tomography (fPET) [ F]2-fluoro-2-deoxy-D-glucose ([ F]FDG) 6-[ F]-fluoro-l-dopa (6-[ F]FDOPA) |
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European journal of nuclear medicine and molecular imaging |
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Reed, Murray Bruce @@aut@@ Handschuh, Patricia Anna @@aut@@ Schmidt, Clemens @@aut@@ Murgaš, Matej @@aut@@ Gomola, David @@aut@@ Milz, Christian @@aut@@ Klug, Sebastian @@aut@@ Eggerstorfer, Benjamin @@aut@@ Aichinger, Lisa @@aut@@ Godbersen, Godber Mathis @@aut@@ Nics, Lukas @@aut@@ Traub-Weidinger, Tatjana @@aut@@ Hacker, Marcus @@aut@@ Lanzenberger, Rupert @@aut@@ Hahn, Andreas @@aut@@ |
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2024-04-27T00:00:00Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR056466994</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240705064638.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240705s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00259-024-06716-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR056466994</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00259-024-06716-8-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">VZ</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">Reed, Murray Bruce</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-4873-608X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Validation of cardiac image-derived input functions for functional PET quantification</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</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="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2024</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. 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Reed, Murray Bruce |
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Reed, Murray Bruce ddc 610 bkl 44.64 misc Image-derived input function (IDIF) misc Arterial input function (AIF) misc Functional positron emission tomography (fPET) misc [ misc F]2-fluoro-2-deoxy-D-glucose ([ misc F]FDG) misc 6-[ misc F]-fluoro-l-dopa (6-[ misc F]FDOPA) Validation of cardiac image-derived input functions for functional PET quantification |
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610 VZ 44.64 bkl Validation of cardiac image-derived input functions for functional PET quantification Image-derived input function (IDIF) (dpeaa)DE-He213 Arterial input function (AIF) (dpeaa)DE-He213 Functional positron emission tomography (fPET) (dpeaa)DE-He213 (dpeaa)DE-He213 F]2-fluoro-2-deoxy-D-glucose ([ (dpeaa)DE-He213 F]FDG) (dpeaa)DE-He213 6-[ (dpeaa)DE-He213 F]-fluoro-l-dopa (6-[ (dpeaa)DE-He213 F]FDOPA) (dpeaa)DE-He213 |
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ddc 610 bkl 44.64 misc Image-derived input function (IDIF) misc Arterial input function (AIF) misc Functional positron emission tomography (fPET) misc [ misc F]2-fluoro-2-deoxy-D-glucose ([ misc F]FDG) misc 6-[ misc F]-fluoro-l-dopa (6-[ misc F]FDOPA) |
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ddc 610 bkl 44.64 misc Image-derived input function (IDIF) misc Arterial input function (AIF) misc Functional positron emission tomography (fPET) misc [ misc F]2-fluoro-2-deoxy-D-glucose ([ misc F]FDG) misc 6-[ misc F]-fluoro-l-dopa (6-[ misc F]FDOPA) |
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Validation of cardiac image-derived input functions for functional PET quantification |
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Validation of cardiac image-derived input functions for functional PET quantification |
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European journal of nuclear medicine and molecular imaging |
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Reed, Murray Bruce Handschuh, Patricia Anna Schmidt, Clemens Murgaš, Matej Gomola, David Milz, Christian Klug, Sebastian Eggerstorfer, Benjamin Aichinger, Lisa Godbersen, Godber Mathis Nics, Lukas Traub-Weidinger, Tatjana Hacker, Marcus Lanzenberger, Rupert Hahn, Andreas |
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10.1007/s00259-024-06716-8 |
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validation of cardiac image-derived input functions for functional pet quantification |
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Validation of cardiac image-derived input functions for functional PET quantification |
| abstract |
Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. © The Author(s) 2024 |
| abstractGer |
Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. © The Author(s) 2024 |
| abstract_unstemmed |
Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort. © The Author(s) 2024 |
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Handschuh, Patricia Anna Schmidt, Clemens Murgaš, Matej Gomola, David Milz, Christian Klug, Sebastian Eggerstorfer, Benjamin Aichinger, Lisa Godbersen, Godber Mathis Nics, Lukas Traub-Weidinger, Tatjana Hacker, Marcus Lanzenberger, Rupert Hahn, Andreas |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR056466994</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240705064638.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240705s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00259-024-06716-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR056466994</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00259-024-06716-8-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">VZ</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">Reed, Murray Bruce</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-4873-608X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Validation of cardiac image-derived input functions for functional PET quantification</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</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="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2024</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose Functional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations. Methods Twenty healthy individuals underwent fPET/MR scans using [18F]FDG or 6-[18F]FDOPA, utilizing bed motion shuttling to capture cardiac IDIF and brain task-induced changes. Arterial and venous blood sampling was used to validate IDIFs. Participants performed a monetary incentive delay task. IDIFs from various blood pools and composites estimated from a linear fit over all IDIF blood pools (3VOI) and further supplemented with venous blood samples (3VOIVB) were compared to the AIF. Quantitative task-specific images from both tracers were compared to assess the performance of each input function to the gold standard. Results For both radiotracer cohorts, moderate to high agreement (r: 0.60–0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87–0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975–0.998) with AIF-derived measurements. Conclusion Our proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. 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| score |
7.400259 |