Cargando…
[(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis
Background: Diagnosis of vasculitis is challenging. To avoid invasive approaches, clinical guidelines recommend the use of diagnostic imaging. This study aimed at evaluating the diagnostic accuracy of [(18)F]-fluorodeoxyglucose ([(18)F]FDG) position emission tomography/computed tomography (PET/CT) i...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689655/ https://www.ncbi.nlm.nih.gov/pubmed/36359560 http://dx.doi.org/10.3390/diagnostics12112717 |
_version_ | 1784836590065942528 |
---|---|
author | Antunovic, Lidija Artesani, Alessia Coniglio, Michael Oyen, Wim J. G. Ciccarelli, Michele Selmi, Carlo Chiti, Arturo Sollini, Martina |
author_facet | Antunovic, Lidija Artesani, Alessia Coniglio, Michael Oyen, Wim J. G. Ciccarelli, Michele Selmi, Carlo Chiti, Arturo Sollini, Martina |
author_sort | Antunovic, Lidija |
collection | PubMed |
description | Background: Diagnosis of vasculitis is challenging. To avoid invasive approaches, clinical guidelines recommend the use of diagnostic imaging. This study aimed at evaluating the diagnostic accuracy of [(18)F]-fluorodeoxyglucose ([(18)F]FDG) position emission tomography/computed tomography (PET/CT) in large vessel vasculitis (LVV) and how this is affected by inter-operator variability. Methods: A total of 279 patients who performed [(18)F]-FDG PET/CT for suspicion of LVV were retrospectively analyzed. We tested the qualitative and semi-quantitative analysis and parameters influencing image quality and interpretation. Exams were evaluated by two readers with different experience and their performance was compared. Results: LVV diagnosis was confirmed in 81 patients. [(18)F]-FDG PET/CT accuracy was 73% and 67% for the expert reader and less experienced reader, respectively. The expert reader overall performed better than the less experienced one, with higher accuracy in patients with normal BMI (77.3 vs. 63.8%), normal level of glycemia (73.3 vs. 65%), younger age (76.6 vs. 68.2%), and when no therapy was in course at time of imaging (76.7 vs. 66.7%). The diagnostic performance of both readers did not improve using semi-quantitative parameters. Conclusions: We confirmed the appropriateness of the recommended criteria for image acquisition and interpretation, underlining the importance of experience in image interpretation for the optimal diagnostic performance of [(18)F]FDG PET/CT in vasculitis. |
format | Online Article Text |
id | pubmed-9689655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96896552022-11-25 [(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis Antunovic, Lidija Artesani, Alessia Coniglio, Michael Oyen, Wim J. G. Ciccarelli, Michele Selmi, Carlo Chiti, Arturo Sollini, Martina Diagnostics (Basel) Article Background: Diagnosis of vasculitis is challenging. To avoid invasive approaches, clinical guidelines recommend the use of diagnostic imaging. This study aimed at evaluating the diagnostic accuracy of [(18)F]-fluorodeoxyglucose ([(18)F]FDG) position emission tomography/computed tomography (PET/CT) in large vessel vasculitis (LVV) and how this is affected by inter-operator variability. Methods: A total of 279 patients who performed [(18)F]-FDG PET/CT for suspicion of LVV were retrospectively analyzed. We tested the qualitative and semi-quantitative analysis and parameters influencing image quality and interpretation. Exams were evaluated by two readers with different experience and their performance was compared. Results: LVV diagnosis was confirmed in 81 patients. [(18)F]-FDG PET/CT accuracy was 73% and 67% for the expert reader and less experienced reader, respectively. The expert reader overall performed better than the less experienced one, with higher accuracy in patients with normal BMI (77.3 vs. 63.8%), normal level of glycemia (73.3 vs. 65%), younger age (76.6 vs. 68.2%), and when no therapy was in course at time of imaging (76.7 vs. 66.7%). The diagnostic performance of both readers did not improve using semi-quantitative parameters. Conclusions: We confirmed the appropriateness of the recommended criteria for image acquisition and interpretation, underlining the importance of experience in image interpretation for the optimal diagnostic performance of [(18)F]FDG PET/CT in vasculitis. MDPI 2022-11-07 /pmc/articles/PMC9689655/ /pubmed/36359560 http://dx.doi.org/10.3390/diagnostics12112717 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Antunovic, Lidija Artesani, Alessia Coniglio, Michael Oyen, Wim J. G. Ciccarelli, Michele Selmi, Carlo Chiti, Arturo Sollini, Martina [(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis |
title | [(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis |
title_full | [(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis |
title_fullStr | [(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis |
title_full_unstemmed | [(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis |
title_short | [(18)F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis |
title_sort | [(18)f]fdg pet/ct in large vessel vasculitis: the impact of expertise and confounders on image analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689655/ https://www.ncbi.nlm.nih.gov/pubmed/36359560 http://dx.doi.org/10.3390/diagnostics12112717 |
work_keys_str_mv | AT antunoviclidija 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis AT artesanialessia 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis AT conigliomichael 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis AT oyenwimjg 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis AT ciccarellimichele 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis AT selmicarlo 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis AT chitiarturo 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis AT sollinimartina 18ffdgpetctinlargevesselvasculitistheimpactofexpertiseandconfoundersonimageanalysis |