Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studies
Aim/backgroundDynamic PET imaging requires an input function typically obtained through blood sampling. Image-derived input functions (IDIFs) of the ascending aorta (AA), aortic arch, descending aorta (DA), or left ventricle (LV) offer non-invasive alternatives, especially with long-axial field-of-v...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Nuclear Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnume.2025.1556848/full |
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| author | Charlotte L. C. Smith Charlotte L. C. Smith Gerben J. C. Zwezerijnen Gerben J. C. Zwezerijnen Marijke E. den Hollander Henricus N. J. M. Greuter Henricus N. J. M. Greuter Nienke R. Gerards Nienke R. Gerards Josée Zijlstra Josée Zijlstra C. Willemien Menke-van der Houven van Oordt C. Willemien Menke-van der Houven van Oordt Idris Bahce Idris Bahce Maqsood Yaqub Maqsood Yaqub Ronald Boellaard Ronald Boellaard |
| author_facet | Charlotte L. C. Smith Charlotte L. C. Smith Gerben J. C. Zwezerijnen Gerben J. C. Zwezerijnen Marijke E. den Hollander Henricus N. J. M. Greuter Henricus N. J. M. Greuter Nienke R. Gerards Nienke R. Gerards Josée Zijlstra Josée Zijlstra C. Willemien Menke-van der Houven van Oordt C. Willemien Menke-van der Houven van Oordt Idris Bahce Idris Bahce Maqsood Yaqub Maqsood Yaqub Ronald Boellaard Ronald Boellaard |
| author_sort | Charlotte L. C. Smith |
| collection | DOAJ |
| description | Aim/backgroundDynamic PET imaging requires an input function typically obtained through blood sampling. Image-derived input functions (IDIFs) of the ascending aorta (AA), aortic arch, descending aorta (DA), or left ventricle (LV) offer non-invasive alternatives, especially with long-axial field-of-view (LAFOV) PET/CT systems enabling whole-body dynamic 1⁸F-FDG imaging. This study aimed to validate uncorrected IDIFs derived from the AA, DA, aortic arch, and LV by comparing them to (late) venous whole-blood in patients undergoing LAFOV PET/CT.MethodsEleven oncology patients who underwent 70-min dynamic 18F-FDG PET/CT scans on a LAFOV PET/CT system after receiving an intravenous bolus injection of 3.0 MBq/kg were included. Seven venous blood samples were collected manually at approximately 5, 10, 15, 25, 35, 45, and 60 min post-injection (pi) and compared to IDIFs derived from the AA, aortic arch, DA, and LV. Bias between IDIFs and venous blood samples was assessed at each time point.ResultsIDIF accuracy relative to venous blood samples improved over time, with a median percentage bias <10% after 25 min pi. At 60 min pi, the aortic arch showed the smallest bias (median −1.1%, IQR 5.9%), followed by the AA (2.5%, IQR 7.0%), DA (5.1%, IQR 8.6%), and LV (7.4%, IQR 7.6%).ConclusionThe high precision of aorta-derived IDIFs suggests that IDIFs are a reliable alternative to manual blood sampling for dynamic 18F-FDG PET imaging on a LAFOV PET/CT system. Using IDIFs reduces variability, simplifies protocols, minimizes radiation exposure, and enhances patient safety with a non-invasive approach. |
| format | Article |
| id | doaj-art-3822b4f5389c42bb84e82632e93e46d4 |
| institution | DOAJ |
| issn | 2673-8880 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Nuclear Medicine |
| spelling | doaj-art-3822b4f5389c42bb84e82632e93e46d42025-08-20T02:55:06ZengFrontiers Media S.A.Frontiers in Nuclear Medicine2673-88802025-02-01510.3389/fnume.2025.15568481556848Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studiesCharlotte L. C. Smith0Charlotte L. C. Smith1Gerben J. C. Zwezerijnen2Gerben J. C. Zwezerijnen3Marijke E. den Hollander4Henricus N. J. M. Greuter5Henricus N. J. M. Greuter6Nienke R. Gerards7Nienke R. Gerards8Josée Zijlstra9Josée Zijlstra10C. Willemien Menke-van der Houven van Oordt11C. Willemien Menke-van der Houven van Oordt12Idris Bahce13Idris Bahce14Maqsood Yaqub15Maqsood Yaqub16Ronald Boellaard17Ronald Boellaard18Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsDepartment of Hematology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsDepartment of Medical Oncology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsDepartment of Pulmonary Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, NetherlandsImaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, NetherlandsAim/backgroundDynamic PET imaging requires an input function typically obtained through blood sampling. Image-derived input functions (IDIFs) of the ascending aorta (AA), aortic arch, descending aorta (DA), or left ventricle (LV) offer non-invasive alternatives, especially with long-axial field-of-view (LAFOV) PET/CT systems enabling whole-body dynamic 1⁸F-FDG imaging. This study aimed to validate uncorrected IDIFs derived from the AA, DA, aortic arch, and LV by comparing them to (late) venous whole-blood in patients undergoing LAFOV PET/CT.MethodsEleven oncology patients who underwent 70-min dynamic 18F-FDG PET/CT scans on a LAFOV PET/CT system after receiving an intravenous bolus injection of 3.0 MBq/kg were included. Seven venous blood samples were collected manually at approximately 5, 10, 15, 25, 35, 45, and 60 min post-injection (pi) and compared to IDIFs derived from the AA, aortic arch, DA, and LV. Bias between IDIFs and venous blood samples was assessed at each time point.ResultsIDIF accuracy relative to venous blood samples improved over time, with a median percentage bias <10% after 25 min pi. At 60 min pi, the aortic arch showed the smallest bias (median −1.1%, IQR 5.9%), followed by the AA (2.5%, IQR 7.0%), DA (5.1%, IQR 8.6%), and LV (7.4%, IQR 7.6%).ConclusionThe high precision of aorta-derived IDIFs suggests that IDIFs are a reliable alternative to manual blood sampling for dynamic 18F-FDG PET imaging on a LAFOV PET/CT system. Using IDIFs reduces variability, simplifies protocols, minimizes radiation exposure, and enhances patient safety with a non-invasive approach.https://www.frontiersin.org/articles/10.3389/fnume.2025.1556848/fullIDIFLAFOV PET18F-FDGdynamic PET imagingnon-invasive quantification |
| spellingShingle | Charlotte L. C. Smith Charlotte L. C. Smith Gerben J. C. Zwezerijnen Gerben J. C. Zwezerijnen Marijke E. den Hollander Henricus N. J. M. Greuter Henricus N. J. M. Greuter Nienke R. Gerards Nienke R. Gerards Josée Zijlstra Josée Zijlstra C. Willemien Menke-van der Houven van Oordt C. Willemien Menke-van der Houven van Oordt Idris Bahce Idris Bahce Maqsood Yaqub Maqsood Yaqub Ronald Boellaard Ronald Boellaard Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studies Frontiers in Nuclear Medicine IDIF LAFOV PET 18F-FDG dynamic PET imaging non-invasive quantification |
| title | Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studies |
| title_full | Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studies |
| title_fullStr | Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studies |
| title_full_unstemmed | Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studies |
| title_short | Validating image-derived input functions of dynamic 18F-FDG long axial field-of-view PET/CT studies |
| title_sort | validating image derived input functions of dynamic 18f fdg long axial field of view pet ct studies |
| topic | IDIF LAFOV PET 18F-FDG dynamic PET imaging non-invasive quantification |
| url | https://www.frontiersin.org/articles/10.3389/fnume.2025.1556848/full |
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