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Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?

Background: Investigation of the clinical feasibility of dynamic whole-body (WB) [(18)F]FDG PET, including standardized uptake value (SUV), rate of irreversible uptake (Ki), and apparent distribution volume (Vd) in physiologic tissues, and comparison between inflammatory/infectious and cancer lesion...

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Autores principales: Skawran, Stephan, Messerli, Michael, Kotasidis, Fotis, Trinckauf, Josephine, Weyermann, Corina, Kudura, Ken, Ferraro, Daniela A., Pitteloud, Janique, Treyer, Valerie, Maurer, Alexander, Huellner, Martin W., Burger, Irene A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501027/
https://www.ncbi.nlm.nih.gov/pubmed/36143386
http://dx.doi.org/10.3390/life12091350
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author Skawran, Stephan
Messerli, Michael
Kotasidis, Fotis
Trinckauf, Josephine
Weyermann, Corina
Kudura, Ken
Ferraro, Daniela A.
Pitteloud, Janique
Treyer, Valerie
Maurer, Alexander
Huellner, Martin W.
Burger, Irene A.
author_facet Skawran, Stephan
Messerli, Michael
Kotasidis, Fotis
Trinckauf, Josephine
Weyermann, Corina
Kudura, Ken
Ferraro, Daniela A.
Pitteloud, Janique
Treyer, Valerie
Maurer, Alexander
Huellner, Martin W.
Burger, Irene A.
author_sort Skawran, Stephan
collection PubMed
description Background: Investigation of the clinical feasibility of dynamic whole-body (WB) [(18)F]FDG PET, including standardized uptake value (SUV), rate of irreversible uptake (Ki), and apparent distribution volume (Vd) in physiologic tissues, and comparison between inflammatory/infectious and cancer lesions. Methods: Twenty-four patients were prospectively included to undergo dynamic WB [(18)F]FDG PET/CT for clinically indicated re-/staging of oncological diseases. Parametric maps of Ki and Vd were generated using Patlak analysis alongside SUV images. Maximum parameter values (SUV(max), Ki(max), and Vd(max)) were measured in liver parenchyma and in malignant or inflammatory/infectious lesions. Lesion-to-background ratios (LBRs) were calculated by dividing the measurements by their respective mean in the liver tissue. Results: Seventy-seven clinical target lesions were identified, 60 malignant and 17 inflammatory/infectious. Ki(max) was significantly higher in cancer than in inflammatory/infections lesions (3.0 vs. 2.0, p = 0.002) while LBRs of SUV(max), Ki(max), and Vd(max) did not differ significantly between the etiologies: LBR (SUV(max)) 3.3 vs. 2.9, p = 0.06; LBR (Ki(max)) 5.0 vs. 4.4, p = 0.05, LBR (Vd(max)) 1.1 vs. 1.0, p = 0.18). LBR of inflammatory/infectious and cancer lesions was higher in Ki(max) than in SUV(max) (4.5 vs. 3.2, p < 0.001). LBRs of Ki(max) and SUV(max) showed a strong correlation (Spearman’s rho = 0.83, p < 0.001). Conclusions: Dynamic WB [(18)F]FDG PET/CT is feasible in a clinical setting. LBRs of Ki(max) were higher than SUV(max). Ki(max) was higher in malignant than in inflammatory/infectious lesions but demonstrated a large overlap between the etiologies.
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spelling pubmed-95010272022-09-24 Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions? Skawran, Stephan Messerli, Michael Kotasidis, Fotis Trinckauf, Josephine Weyermann, Corina Kudura, Ken Ferraro, Daniela A. Pitteloud, Janique Treyer, Valerie Maurer, Alexander Huellner, Martin W. Burger, Irene A. Life (Basel) Article Background: Investigation of the clinical feasibility of dynamic whole-body (WB) [(18)F]FDG PET, including standardized uptake value (SUV), rate of irreversible uptake (Ki), and apparent distribution volume (Vd) in physiologic tissues, and comparison between inflammatory/infectious and cancer lesions. Methods: Twenty-four patients were prospectively included to undergo dynamic WB [(18)F]FDG PET/CT for clinically indicated re-/staging of oncological diseases. Parametric maps of Ki and Vd were generated using Patlak analysis alongside SUV images. Maximum parameter values (SUV(max), Ki(max), and Vd(max)) were measured in liver parenchyma and in malignant or inflammatory/infectious lesions. Lesion-to-background ratios (LBRs) were calculated by dividing the measurements by their respective mean in the liver tissue. Results: Seventy-seven clinical target lesions were identified, 60 malignant and 17 inflammatory/infectious. Ki(max) was significantly higher in cancer than in inflammatory/infections lesions (3.0 vs. 2.0, p = 0.002) while LBRs of SUV(max), Ki(max), and Vd(max) did not differ significantly between the etiologies: LBR (SUV(max)) 3.3 vs. 2.9, p = 0.06; LBR (Ki(max)) 5.0 vs. 4.4, p = 0.05, LBR (Vd(max)) 1.1 vs. 1.0, p = 0.18). LBR of inflammatory/infectious and cancer lesions was higher in Ki(max) than in SUV(max) (4.5 vs. 3.2, p < 0.001). LBRs of Ki(max) and SUV(max) showed a strong correlation (Spearman’s rho = 0.83, p < 0.001). Conclusions: Dynamic WB [(18)F]FDG PET/CT is feasible in a clinical setting. LBRs of Ki(max) were higher than SUV(max). Ki(max) was higher in malignant than in inflammatory/infectious lesions but demonstrated a large overlap between the etiologies. MDPI 2022-08-30 /pmc/articles/PMC9501027/ /pubmed/36143386 http://dx.doi.org/10.3390/life12091350 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
Skawran, Stephan
Messerli, Michael
Kotasidis, Fotis
Trinckauf, Josephine
Weyermann, Corina
Kudura, Ken
Ferraro, Daniela A.
Pitteloud, Janique
Treyer, Valerie
Maurer, Alexander
Huellner, Martin W.
Burger, Irene A.
Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?
title Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?
title_full Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?
title_fullStr Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?
title_full_unstemmed Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?
title_short Can Dynamic Whole-Body FDG PET Imaging Differentiate between Malignant and Inflammatory Lesions?
title_sort can dynamic whole-body fdg pet imaging differentiate between malignant and inflammatory lesions?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501027/
https://www.ncbi.nlm.nih.gov/pubmed/36143386
http://dx.doi.org/10.3390/life12091350
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