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The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study
Purpose: To early identify abnormal lesions by applying the (18)F-FDG PET dynamic modeling approach for discharged patients recovering from COVID-19. Methods: Seven discharged COVID-19 patients (COVID-19 group), twelve healthy volunteers (control group 1), and eight cancer patients with normal pulmo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515694/ https://www.ncbi.nlm.nih.gov/pubmed/36185330 http://dx.doi.org/10.7150/ijms.73801 |
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author | Yao, Jijin Liu, Jing Bi, Lei Huang, Yiying Wang, Lu Zhang, Fanwei Wang, Ying Jin, Hongjun |
author_facet | Yao, Jijin Liu, Jing Bi, Lei Huang, Yiying Wang, Lu Zhang, Fanwei Wang, Ying Jin, Hongjun |
author_sort | Yao, Jijin |
collection | PubMed |
description | Purpose: To early identify abnormal lesions by applying the (18)F-FDG PET dynamic modeling approach for discharged patients recovering from COVID-19. Methods: Seven discharged COVID-19 patients (COVID-19 group), twelve healthy volunteers (control group 1), and eight cancer patients with normal pulmonary function (control group 2) were prospectively enrolled. Control group 1 completed static (18)F-FDG PET/CT only; COVID-19 group and control group 2 completed 60-min dynamic (18)F-FDG PET/CT. Among COVID-19 group and control group 2, the uptake of FDG on the last frame (at 55-60 min) of dynamic scans was used for static analysis. Prior to performing scans, COVID-19 patients provided negative real-time Reverse Transcription-Polymerase Chain Reaction (rRT-PCR) of SARS-CoV-2, normal lung functions test, and normal laboratory test. Organ-to-liver standard uptake ratio (OLR, i.e. SUV(max)(evaluated organ)/ SUV(max)(liver)) from conventional static data and Patlak analysis based on the dynamic modeling to calculate the (18)F-FDG net uptake rate constant (K(i)) were performed. Results: Compared to the control groups, COVID-19 patients at two to three months after discharge still maintained significantly higher K(i) values in multiple organs (including lung, bone marrow, lymph nodes, myocardium and liver), although results for regular OLR measurements were normal for all discharged COVID-19 patients. Taking the image of lung as an example, the differences of SUV(max) images between COVID-19 group and control group were hard to distinguish. In contrast, a high (18)F-FDG signal of the lung among the COVID-19 group was observed for K(i) images. Conclusion: The K(i) from (18)F-FDG PET/CT dynamic imaging quantification might contribute to identifying residual lesions for COVID-19 survivors. Trial registration: The trial is registered with ClinicalTrials.gov, number NCT04519255 (IRB-approved number, K52-1). |
format | Online Article Text |
id | pubmed-9515694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-95156942022-09-29 The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study Yao, Jijin Liu, Jing Bi, Lei Huang, Yiying Wang, Lu Zhang, Fanwei Wang, Ying Jin, Hongjun Int J Med Sci Research Paper Purpose: To early identify abnormal lesions by applying the (18)F-FDG PET dynamic modeling approach for discharged patients recovering from COVID-19. Methods: Seven discharged COVID-19 patients (COVID-19 group), twelve healthy volunteers (control group 1), and eight cancer patients with normal pulmonary function (control group 2) were prospectively enrolled. Control group 1 completed static (18)F-FDG PET/CT only; COVID-19 group and control group 2 completed 60-min dynamic (18)F-FDG PET/CT. Among COVID-19 group and control group 2, the uptake of FDG on the last frame (at 55-60 min) of dynamic scans was used for static analysis. Prior to performing scans, COVID-19 patients provided negative real-time Reverse Transcription-Polymerase Chain Reaction (rRT-PCR) of SARS-CoV-2, normal lung functions test, and normal laboratory test. Organ-to-liver standard uptake ratio (OLR, i.e. SUV(max)(evaluated organ)/ SUV(max)(liver)) from conventional static data and Patlak analysis based on the dynamic modeling to calculate the (18)F-FDG net uptake rate constant (K(i)) were performed. Results: Compared to the control groups, COVID-19 patients at two to three months after discharge still maintained significantly higher K(i) values in multiple organs (including lung, bone marrow, lymph nodes, myocardium and liver), although results for regular OLR measurements were normal for all discharged COVID-19 patients. Taking the image of lung as an example, the differences of SUV(max) images between COVID-19 group and control group were hard to distinguish. In contrast, a high (18)F-FDG signal of the lung among the COVID-19 group was observed for K(i) images. Conclusion: The K(i) from (18)F-FDG PET/CT dynamic imaging quantification might contribute to identifying residual lesions for COVID-19 survivors. Trial registration: The trial is registered with ClinicalTrials.gov, number NCT04519255 (IRB-approved number, K52-1). Ivyspring International Publisher 2022-09-06 /pmc/articles/PMC9515694/ /pubmed/36185330 http://dx.doi.org/10.7150/ijms.73801 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Yao, Jijin Liu, Jing Bi, Lei Huang, Yiying Wang, Lu Zhang, Fanwei Wang, Ying Jin, Hongjun The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study |
title | The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study |
title_full | The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study |
title_fullStr | The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study |
title_full_unstemmed | The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study |
title_short | The imaging quantification of multiple organs by dynamic (18)F-FDG PET/CT in discharged COVID-19 patients: A prospective pilot study |
title_sort | imaging quantification of multiple organs by dynamic (18)f-fdg pet/ct in discharged covid-19 patients: a prospective pilot study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515694/ https://www.ncbi.nlm.nih.gov/pubmed/36185330 http://dx.doi.org/10.7150/ijms.73801 |
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