Evaluating image-derived input functions for cerebral [18F]MC225 PET studies
Kinetic modelling of brain PET data is crucial for estimating quantitative biological parameters, traditionally requiring arterial sampling. This study evaluated whether arterial samples could be omitted to estimate the image-derived input function (IDIF) using a long axial field-of-view PET scanner...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Nuclear Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnume.2025.1597902/full |
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| author | Giordana Salvi de Souza Giordana Salvi de Souza Pascalle Mossel Pascalle Mossel Joost F. Somsen Laura Providência Anna L. Bartels Antoon T. M. Willemsen Rudi A. J. O. Dierckx Cristiane R. G. Furini Cristiane R. G. Furini Adriaan A. Lammertsma Charalampos Tsoumpas Gert Luurtsema |
| author_facet | Giordana Salvi de Souza Giordana Salvi de Souza Pascalle Mossel Pascalle Mossel Joost F. Somsen Laura Providência Anna L. Bartels Antoon T. M. Willemsen Rudi A. J. O. Dierckx Cristiane R. G. Furini Cristiane R. G. Furini Adriaan A. Lammertsma Charalampos Tsoumpas Gert Luurtsema |
| author_sort | Giordana Salvi de Souza |
| collection | DOAJ |
| description | Kinetic modelling of brain PET data is crucial for estimating quantitative biological parameters, traditionally requiring arterial sampling. This study evaluated whether arterial samples could be omitted to estimate the image-derived input function (IDIF) using a long axial field-of-view PET scanner. The use of internal carotid arteries (ICA) for IDIF estimation, along with venous samples for plasma-to-whole blood ratios and plasma parent fractions, was also assessed. Six healthy volunteers underwent [18F]MC225 scans with manual arterial sampling. IDIFs were derived from the aortic arch (IDIFAA) and calibrated using manual arterial samples (IDIFAA_CAL). ICA-derived IDIF was also calibrated (IDIFCA_CAL) and compared to IDIFAA_CAL. In a separate group of six volunteers, venous and arterial samples were collected to evaluate plasma-to-whole blood ratios, plasma parent fractions, and IDIF calibration (IDIFCA_CAL_VEN). Volume of distribution (VT) of different brain regions was estimated for all IDIFs techniques, corrected for plasma-to-whole blood ratio and plasma parent fraction (IDIFAA,P, IDIFAA_CAL,P, IDIFICA_CAL,P and IDIFICA_CAL_VEN_P). Our findings revealed discrepancies between IDIFAA and arterial samples, highlighting the importance of calibration. The differences between IDIFAA,P and IDIFAA_CAL,P were 9.2% for area under the curve and 4.0% for brain VT. IDIFICA_CAL,P showed strong agreement with IDIFA_CAL,P, with 1.2% VT difference. Venous sampling showed consistent agreement with arterial sampling for plasma parameters but was unreliable for IDIF calibration, leading to 39% VT differences. This study emphasises that arterial samples are still required for IDIF calibration and reliable VT estimation for [18F]MC225 PET tracer. ICA-derived IDIF, when calibrated, provides reliable VT estimates. Venous sampling is a potential alternative for estimating plasma parameters, but it is unsuitable for IDIF calibration.Trial RegistryNCT05618119 (clinicaltrials.gov/study/NCT05618119). |
| format | Article |
| id | doaj-art-ed0bbf6bb9554605bdf6324c56e7079f |
| institution | OA Journals |
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| language | English |
| publishDate | 2025-06-01 |
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| series | Frontiers in Nuclear Medicine |
| spelling | doaj-art-ed0bbf6bb9554605bdf6324c56e7079f2025-08-20T02:32:30ZengFrontiers Media S.A.Frontiers in Nuclear Medicine2673-88802025-06-01510.3389/fnume.2025.15979021597902Evaluating image-derived input functions for cerebral [18F]MC225 PET studiesGiordana Salvi de Souza0Giordana Salvi de Souza1Pascalle Mossel2Pascalle Mossel3Joost F. Somsen4Laura Providência5Anna L. Bartels6Antoon T. M. Willemsen7Rudi A. J. O. Dierckx8Cristiane R. G. Furini9Cristiane R. G. Furini10Adriaan A. Lammertsma11Charalampos Tsoumpas12Gert Luurtsema13Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsSchool of Medicine, PUCRS, Porto Alegre, BrazilDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsDepartment of Radiology, Leiden University Medical Center, Leiden, NetherlandsDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsDepartment of Neurology, Ommelander Ziekenhuis Groep, Scheemda, NetherlandsDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsSchool of Medicine, PUCRS, Porto Alegre, BrazilLaboratory of Cognition and Memory Neurobiology, Brain Institute, PUCRS, Porto Alegre, BrazilDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, NetherlandsKinetic modelling of brain PET data is crucial for estimating quantitative biological parameters, traditionally requiring arterial sampling. This study evaluated whether arterial samples could be omitted to estimate the image-derived input function (IDIF) using a long axial field-of-view PET scanner. The use of internal carotid arteries (ICA) for IDIF estimation, along with venous samples for plasma-to-whole blood ratios and plasma parent fractions, was also assessed. Six healthy volunteers underwent [18F]MC225 scans with manual arterial sampling. IDIFs were derived from the aortic arch (IDIFAA) and calibrated using manual arterial samples (IDIFAA_CAL). ICA-derived IDIF was also calibrated (IDIFCA_CAL) and compared to IDIFAA_CAL. In a separate group of six volunteers, venous and arterial samples were collected to evaluate plasma-to-whole blood ratios, plasma parent fractions, and IDIF calibration (IDIFCA_CAL_VEN). Volume of distribution (VT) of different brain regions was estimated for all IDIFs techniques, corrected for plasma-to-whole blood ratio and plasma parent fraction (IDIFAA,P, IDIFAA_CAL,P, IDIFICA_CAL,P and IDIFICA_CAL_VEN_P). Our findings revealed discrepancies between IDIFAA and arterial samples, highlighting the importance of calibration. The differences between IDIFAA,P and IDIFAA_CAL,P were 9.2% for area under the curve and 4.0% for brain VT. IDIFICA_CAL,P showed strong agreement with IDIFA_CAL,P, with 1.2% VT difference. Venous sampling showed consistent agreement with arterial sampling for plasma parameters but was unreliable for IDIF calibration, leading to 39% VT differences. This study emphasises that arterial samples are still required for IDIF calibration and reliable VT estimation for [18F]MC225 PET tracer. ICA-derived IDIF, when calibrated, provides reliable VT estimates. Venous sampling is a potential alternative for estimating plasma parameters, but it is unsuitable for IDIF calibration.Trial RegistryNCT05618119 (clinicaltrials.gov/study/NCT05618119).https://www.frontiersin.org/articles/10.3389/fnume.2025.1597902/fulllong axial field of view PETpharmacokineticsvenous samplingquantitative analysisIDIFkinetic analyses |
| spellingShingle | Giordana Salvi de Souza Giordana Salvi de Souza Pascalle Mossel Pascalle Mossel Joost F. Somsen Laura Providência Anna L. Bartels Antoon T. M. Willemsen Rudi A. J. O. Dierckx Cristiane R. G. Furini Cristiane R. G. Furini Adriaan A. Lammertsma Charalampos Tsoumpas Gert Luurtsema Evaluating image-derived input functions for cerebral [18F]MC225 PET studies Frontiers in Nuclear Medicine long axial field of view PET pharmacokinetics venous sampling quantitative analysis IDIF kinetic analyses |
| title | Evaluating image-derived input functions for cerebral [18F]MC225 PET studies |
| title_full | Evaluating image-derived input functions for cerebral [18F]MC225 PET studies |
| title_fullStr | Evaluating image-derived input functions for cerebral [18F]MC225 PET studies |
| title_full_unstemmed | Evaluating image-derived input functions for cerebral [18F]MC225 PET studies |
| title_short | Evaluating image-derived input functions for cerebral [18F]MC225 PET studies |
| title_sort | evaluating image derived input functions for cerebral 18f mc225 pet studies |
| topic | long axial field of view PET pharmacokinetics venous sampling quantitative analysis IDIF kinetic analyses |
| url | https://www.frontiersin.org/articles/10.3389/fnume.2025.1597902/full |
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