Variability in quantitative analysis of atherosclerotic plaque inflammation using 18F-FDG PET/CT
| Autor: | Conny J. van der Laken, Emile F.I. Comans, Alper M. van Sijl, Karel-Jan D. F. Lensen, Michael T. Nurmohamed, Martijn W. Heymans, Yvo M. Smulders, Ronald Boellaard, Alexandre E. Voskuyl |
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| Přispěvatelé: | ACS - Atherosclerosis & ischemic syndromes, Internal medicine, Rheumatology, APH - Personalized Medicine, Epidemiology and Data Science, APH - Methodology, Radiology and nuclear medicine |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Male
Intraclass correlation lcsh:Medicine 030204 cardiovascular system & hematology Cardiovascular Medicine computer.software_genre Pathology and Laboratory Medicine 030218 nuclear medicine & medical imaging Diagnostic Radiology Correlation 0302 clinical medicine Voxel Positron Emission Tomography Computed Tomography Medicine and Health Sciences Medicine lcsh:Science Tomography Immune Response Aorta Aged 80 and over Observer Variation Multidisciplinary Radiology and Imaging Middle Aged Plaque Atherosclerotic Data Acquisition Cardiovascular Diseases Female Radiology Anatomy Research Article medicine.medical_specialty Computer and Information Sciences Imaging Techniques Immunology Standardized uptake value Neuroimaging Rheumatoid Arthritis Image Analysis Research and Analysis Methods Autoimmune Diseases 03 medical and health sciences Text mining Signs and Symptoms Rheumatology Diagnostic Medicine Fluorodeoxyglucose F18 Humans Bland–Altman plot Aged Inflammation business.industry Arthritis lcsh:R Biology and Life Sciences Computed Axial Tomography Cardiovascular Anatomy Blood Vessels Clinical Immunology lcsh:Q Clinical Medicine business Nuclear medicine Quantitative analysis (chemistry) computer Positron Emission Tomography Plaque inflammation Neuroscience |
| Zdroj: | Lensen, K-J D F, van Sijl, A M, Voskuyl, A E, van der Laken, C J, Heymans, M W, Comans, E F I, Nurmohamed, M T, Smulders, Y M & Boellaard, R 2017, ' Variability in quantitative analysis of atherosclerotic plaque inflammation using 18F-FDG PET/CT ', PLoS ONE, vol. 12, no. 8, pp. e0181847 . https://doi.org/10.1371/journal.pone.0181847 PLoS ONE, 12(8). Public Library of Science PLoS ONE, Vol 12, Iss 8, p e0181847 (2017) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | BACKGROUND: 18F-FDG-PET(/CT) is increasingly used in studies aiming at quantifying atherosclerotic plaque inflammation. Considerable methodological variability exists. The effect of data acquisition and image analysis parameters on quantitative uptake measures, such as standardized uptake value (SUV) and target-to-background ratio (TBR) has not been investigated extensively.OBJECTIVE: The goal of this study was to explore the effect of several data acquisition and image analysis parameters on quantification of vascular wall 18F-FDG uptake measures, in order to increase awareness of potential variability.METHODS: Three whole-body emission scans and a low-dose CT scan were acquired 38, 60 and 90 minutes after injection of 18F-FDG in six rheumatoid arthritis patients with high cardiovascular risk profiles.Data acquisition (1 and 2) and image analysis (3, 4 and 5) parameters comprised:1. 18F-FDG uptake time, 2. SUV normalisation, 3. drawing regions/volumes of interest (ROI's/VOI's) according to: a. hot-spot (HS), b. whole-segment (WS) and c. most-diseased segment (MDS), 4. Background activity, 5. Image matrix/voxel size.Intraclass correlation coefficients (ICC's) and Bland Altman plots were used to assess agreement between these techniques and between observers. A linear mixed model was used to determine the association between uptake time and continuous outcome variables.RESULTS: 1. Significantly higher TBRmax values were found at 90 minutes (1,57 95%CI 1,35-1,80) compared to 38 minutes (1,30 95%CI 1,21-1,39) (P = 0,024) 2. Normalising SUV for BW, LBM and BSA significantly influences average SUVmax (2,25 (±0,60) vs 1,67 (±0,37) vs 0,058 (±0,013)). 3. Intraclass correlation coefficients were high in all vascular segments when SUVmax HS was compared to SUVmax WS. SUVmax HS was consistently higher than SUVmax MDS in all vascular segments. 4. Blood pool activity significantly decreases in all (venous and arterial) segments over time, but does not differ between segments. 5. Image matrix/voxel size does not influence SUVmax.CONCLUSION: Quantitative measures of vascular wall 18F-FDG uptake are affected mainly by changes in data acquisition parameters. Standardization of methodology needs to be considered when studying atherosclerosis and/or vasculitis. |
| Databáze: | OpenAIRE |
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