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Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation

BACKGROUND: F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) is useful in multiple myeloma (MM) for initial workup and treatment response evaluation. Herein, we evaluated the prognostic value of semi-quantitative FDG parameters for predicting the overall survival...

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Autores principales: Lee, Hyunjong, Hyun, Seung Hyup, Cho, Young Seok, Moon, Seung Hwan, Choi, Joon Young, Kim, Kihyun, Lee, Kyung-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612180/
https://www.ncbi.nlm.nih.gov/pubmed/37891633
http://dx.doi.org/10.1186/s40644-023-00625-z
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author Lee, Hyunjong
Hyun, Seung Hyup
Cho, Young Seok
Moon, Seung Hwan
Choi, Joon Young
Kim, Kihyun
Lee, Kyung-Han
author_facet Lee, Hyunjong
Hyun, Seung Hyup
Cho, Young Seok
Moon, Seung Hwan
Choi, Joon Young
Kim, Kihyun
Lee, Kyung-Han
author_sort Lee, Hyunjong
collection PubMed
description BACKGROUND: F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) is useful in multiple myeloma (MM) for initial workup and treatment response evaluation. Herein, we evaluated the prognostic value of semi-quantitative FDG parameters for predicting the overall survival (OS) of MM patients with or without autologous stem cell transplantation (ASCT). METHODS: Study subjects comprised 227 MM patients who underwent baseline FDG PET/CT. Therein, 123 underwent ASCT while 104 did not. Volumes of interest (VOIs) of bones were drawn on CT images using a threshold of 150 Hounsfield units. FDG parameters of maximum standardized uptake value (SUVmax), mean SUV (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and number of focal lesions (FLs) were measured. Kaplan-Meier survival analysis with log-rank tests and Cox proportional hazards regression analyses were performed for overall survival (OS). RESULTS: In the ASCT cohort, R-ISS stage, MTV, and TLG were associated with survival. In the non-ASCT cohort, however, R-ISS stage was not associated with patient outcomes. In contrast, high SUVmax, SUVmean, MTV, TLG, and FL could predict worse OS (hazard ratio [HR] = 2.569, 2.649, 2.506, 2.839, and 1.988, respectively). Importantly, combining FDG parameters with R-ISS stage provided a new risk classification system that discriminated worse OS in the non-ASCT cohort significantly better than did R-ISS stage alone. CONCLUSIONS: In the non-ASCT cohort, semi-quantitative FDG parameters were significant predictors of worse OS. Furthermore, combining FDG parameters with R-ISS stage may provide a new risk staging system that can better stratify the survival of MM patients without ASCT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00625-z.
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spelling pubmed-106121802023-10-29 Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation Lee, Hyunjong Hyun, Seung Hyup Cho, Young Seok Moon, Seung Hwan Choi, Joon Young Kim, Kihyun Lee, Kyung-Han Cancer Imaging Research Article BACKGROUND: F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) is useful in multiple myeloma (MM) for initial workup and treatment response evaluation. Herein, we evaluated the prognostic value of semi-quantitative FDG parameters for predicting the overall survival (OS) of MM patients with or without autologous stem cell transplantation (ASCT). METHODS: Study subjects comprised 227 MM patients who underwent baseline FDG PET/CT. Therein, 123 underwent ASCT while 104 did not. Volumes of interest (VOIs) of bones were drawn on CT images using a threshold of 150 Hounsfield units. FDG parameters of maximum standardized uptake value (SUVmax), mean SUV (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and number of focal lesions (FLs) were measured. Kaplan-Meier survival analysis with log-rank tests and Cox proportional hazards regression analyses were performed for overall survival (OS). RESULTS: In the ASCT cohort, R-ISS stage, MTV, and TLG were associated with survival. In the non-ASCT cohort, however, R-ISS stage was not associated with patient outcomes. In contrast, high SUVmax, SUVmean, MTV, TLG, and FL could predict worse OS (hazard ratio [HR] = 2.569, 2.649, 2.506, 2.839, and 1.988, respectively). Importantly, combining FDG parameters with R-ISS stage provided a new risk classification system that discriminated worse OS in the non-ASCT cohort significantly better than did R-ISS stage alone. CONCLUSIONS: In the non-ASCT cohort, semi-quantitative FDG parameters were significant predictors of worse OS. Furthermore, combining FDG parameters with R-ISS stage may provide a new risk staging system that can better stratify the survival of MM patients without ASCT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00625-z. BioMed Central 2023-10-27 /pmc/articles/PMC10612180/ /pubmed/37891633 http://dx.doi.org/10.1186/s40644-023-00625-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Lee, Hyunjong
Hyun, Seung Hyup
Cho, Young Seok
Moon, Seung Hwan
Choi, Joon Young
Kim, Kihyun
Lee, Kyung-Han
Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation
title Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation
title_full Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation
title_fullStr Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation
title_full_unstemmed Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation
title_short Semi-quantitative FDG parameters predict survival in multiple myeloma patients without autologous stem cell transplantation
title_sort semi-quantitative fdg parameters predict survival in multiple myeloma patients without autologous stem cell transplantation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612180/
https://www.ncbi.nlm.nih.gov/pubmed/37891633
http://dx.doi.org/10.1186/s40644-023-00625-z
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