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Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging
PURPOSE: Contemporary PET/CT scanners can use 70-min dynamic whole-body (D-WB) PET to generate more quantitative information about FDG uptake than just the SUV by generating parametric images of FDG metabolic rate (MR(FDG)). The analysis requires the late (50–70 min) D-WB tissue data combined with t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458803/ https://www.ncbi.nlm.nih.gov/pubmed/36076097 http://dx.doi.org/10.1186/s40658-022-00490-y |
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author | Dias, André H. Smith, Anne M. Shah, Vijay Pigg, David Gormsen, Lars C. Munk, Ole L. |
author_facet | Dias, André H. Smith, Anne M. Shah, Vijay Pigg, David Gormsen, Lars C. Munk, Ole L. |
author_sort | Dias, André H. |
collection | PubMed |
description | PURPOSE: Contemporary PET/CT scanners can use 70-min dynamic whole-body (D-WB) PET to generate more quantitative information about FDG uptake than just the SUV by generating parametric images of FDG metabolic rate (MR(FDG)). The analysis requires the late (50–70 min) D-WB tissue data combined with the full (0–70 min) arterial input function (AIF). Our aim was to assess whether the use of a scaled population-based input function (sPBIF) obviates the need for the early D-WB PET acquisition and allows for a clinically feasible 20-min D-WB PET examination. METHODS: A PBIF was calculated based on AIFs from 20 patients that were D-WB PET scanned for 120 min with simultaneous arterial blood sampling. MR(FDG) imaging using PBIF requires that the area under the curve (AUC) of the sPBIF is equal to the AUC of the individual patient’s input function because sPBIF AUC bias translates into MR(FDG) bias. Special patient characteristics could affect the shape of their AIF. Thus, we validated the use of PBIF in 171 patients that were divided into 12 subgroups according to the following characteristics: diabetes, cardiac ejection fraction, blood pressure, weight, eGFR and age. For each patient, the PBIF was scaled to the aorta image-derived input function (IDIF) to calculate a sPBIF, and the AUC bias was calculated. RESULTS: We found excellent agreement between the AIF and IDIF at all times. For the clinical validation, the use of sPBIF led to an acceptable AUC bias of 1–5% in most subgroups except for patients with diabetes or patients with low eGFR, where the biases were marginally higher at 7%. Multiparametric MR(FDG) images based on a short 20-min D-WB PET and sPBIF were visually indistinguishable from images produced by the full 70-min D-WB PET and individual IDIF. CONCLUSIONS: A short 20-min D-WB PET examination using PBIF can be used for multiparametric imaging without compromising the image quality or precision of MR(FDG). The D-WB PET examination may therefore be used in clinical routine for a wide range of patients, potentially allowing for more precise quantification in e.g. treatment response imaging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00490-y. |
format | Online Article Text |
id | pubmed-9458803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-94588032022-09-10 Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging Dias, André H. Smith, Anne M. Shah, Vijay Pigg, David Gormsen, Lars C. Munk, Ole L. EJNMMI Phys Original Research PURPOSE: Contemporary PET/CT scanners can use 70-min dynamic whole-body (D-WB) PET to generate more quantitative information about FDG uptake than just the SUV by generating parametric images of FDG metabolic rate (MR(FDG)). The analysis requires the late (50–70 min) D-WB tissue data combined with the full (0–70 min) arterial input function (AIF). Our aim was to assess whether the use of a scaled population-based input function (sPBIF) obviates the need for the early D-WB PET acquisition and allows for a clinically feasible 20-min D-WB PET examination. METHODS: A PBIF was calculated based on AIFs from 20 patients that were D-WB PET scanned for 120 min with simultaneous arterial blood sampling. MR(FDG) imaging using PBIF requires that the area under the curve (AUC) of the sPBIF is equal to the AUC of the individual patient’s input function because sPBIF AUC bias translates into MR(FDG) bias. Special patient characteristics could affect the shape of their AIF. Thus, we validated the use of PBIF in 171 patients that were divided into 12 subgroups according to the following characteristics: diabetes, cardiac ejection fraction, blood pressure, weight, eGFR and age. For each patient, the PBIF was scaled to the aorta image-derived input function (IDIF) to calculate a sPBIF, and the AUC bias was calculated. RESULTS: We found excellent agreement between the AIF and IDIF at all times. For the clinical validation, the use of sPBIF led to an acceptable AUC bias of 1–5% in most subgroups except for patients with diabetes or patients with low eGFR, where the biases were marginally higher at 7%. Multiparametric MR(FDG) images based on a short 20-min D-WB PET and sPBIF were visually indistinguishable from images produced by the full 70-min D-WB PET and individual IDIF. CONCLUSIONS: A short 20-min D-WB PET examination using PBIF can be used for multiparametric imaging without compromising the image quality or precision of MR(FDG). The D-WB PET examination may therefore be used in clinical routine for a wide range of patients, potentially allowing for more precise quantification in e.g. treatment response imaging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00490-y. Springer International Publishing 2022-09-08 /pmc/articles/PMC9458803/ /pubmed/36076097 http://dx.doi.org/10.1186/s40658-022-00490-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Dias, André H. Smith, Anne M. Shah, Vijay Pigg, David Gormsen, Lars C. Munk, Ole L. Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging |
title | Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging |
title_full | Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging |
title_fullStr | Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging |
title_full_unstemmed | Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging |
title_short | Clinical validation of a population-based input function for 20-min dynamic whole-body (18)F-FDG multiparametric PET imaging |
title_sort | clinical validation of a population-based input function for 20-min dynamic whole-body (18)f-fdg multiparametric pet imaging |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458803/ https://www.ncbi.nlm.nih.gov/pubmed/36076097 http://dx.doi.org/10.1186/s40658-022-00490-y |
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