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Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation

In the treatment of Non-Hodgkin lymphoma (NHL), multiple therapeutic options are available. Improving outcome predictions are essential to optimize treatment. The metabolic active tumor volume (MATV) has shown to be a prognostic factor in NHL. It is usually retrieved using semi-automated thresholdin...

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Autores principales: Keijzer, Kylie, Niezink, Anne G.H., de Boer, Janneke W., van Doesum, Jaap A., Noordzij, Walter, van Meerten, Tom, van Dijk, Lisanne V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900370/
https://www.ncbi.nlm.nih.gov/pubmed/36789266
http://dx.doi.org/10.1016/j.csbj.2023.01.023
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author Keijzer, Kylie
Niezink, Anne G.H.
de Boer, Janneke W.
van Doesum, Jaap A.
Noordzij, Walter
van Meerten, Tom
van Dijk, Lisanne V.
author_facet Keijzer, Kylie
Niezink, Anne G.H.
de Boer, Janneke W.
van Doesum, Jaap A.
Noordzij, Walter
van Meerten, Tom
van Dijk, Lisanne V.
author_sort Keijzer, Kylie
collection PubMed
description In the treatment of Non-Hodgkin lymphoma (NHL), multiple therapeutic options are available. Improving outcome predictions are essential to optimize treatment. The metabolic active tumor volume (MATV) has shown to be a prognostic factor in NHL. It is usually retrieved using semi-automated thresholding methods based on standardized uptake values (SUV), calculated from (18)F-Fluorodeoxyglucose Positron Emission Tomography ((18)F-FDG PET) images. However, there is currently no consensus method for NHL. The aim of this study was to review literature on different segmentation methods used, and to evaluate selected methods by using an in house created software tool. A software tool, MUltiple SUV Threshold (MUST)-segmenter was developed where tumor locations are identified by placing seed-points on the PET images, followed by subsequent region growing. Based on a literature review, 9 SUV thresholding methods were selected and MATVs were extracted. The MUST-segmenter was utilized in a cohort of 68 patients with NHL. Differences in MATVs were assessed with paired t-tests, and correlations and distributions figures. High variability and significant differences between the MATVs based on different segmentation methods (p < 0.05) were observed in the NHL patients. Median MATVs ranged from 35 to 211 cc. No consensus for determining MATV is available based on the literature. Using the MUST-segmenter with 9 selected SUV thresholding methods, we demonstrated a large and significant variation in MATVs. Identifying the most optimal segmentation method for patients with NHL is essential to further improve predictions of toxicity, response, and treatment outcomes, which can be facilitated by the MUST-segmenter.
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spelling pubmed-99003702023-02-13 Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation Keijzer, Kylie Niezink, Anne G.H. de Boer, Janneke W. van Doesum, Jaap A. Noordzij, Walter van Meerten, Tom van Dijk, Lisanne V. Comput Struct Biotechnol J Research Article In the treatment of Non-Hodgkin lymphoma (NHL), multiple therapeutic options are available. Improving outcome predictions are essential to optimize treatment. The metabolic active tumor volume (MATV) has shown to be a prognostic factor in NHL. It is usually retrieved using semi-automated thresholding methods based on standardized uptake values (SUV), calculated from (18)F-Fluorodeoxyglucose Positron Emission Tomography ((18)F-FDG PET) images. However, there is currently no consensus method for NHL. The aim of this study was to review literature on different segmentation methods used, and to evaluate selected methods by using an in house created software tool. A software tool, MUltiple SUV Threshold (MUST)-segmenter was developed where tumor locations are identified by placing seed-points on the PET images, followed by subsequent region growing. Based on a literature review, 9 SUV thresholding methods were selected and MATVs were extracted. The MUST-segmenter was utilized in a cohort of 68 patients with NHL. Differences in MATVs were assessed with paired t-tests, and correlations and distributions figures. High variability and significant differences between the MATVs based on different segmentation methods (p < 0.05) were observed in the NHL patients. Median MATVs ranged from 35 to 211 cc. No consensus for determining MATV is available based on the literature. Using the MUST-segmenter with 9 selected SUV thresholding methods, we demonstrated a large and significant variation in MATVs. Identifying the most optimal segmentation method for patients with NHL is essential to further improve predictions of toxicity, response, and treatment outcomes, which can be facilitated by the MUST-segmenter. Research Network of Computational and Structural Biotechnology 2023-01-20 /pmc/articles/PMC9900370/ /pubmed/36789266 http://dx.doi.org/10.1016/j.csbj.2023.01.023 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Keijzer, Kylie
Niezink, Anne G.H.
de Boer, Janneke W.
van Doesum, Jaap A.
Noordzij, Walter
van Meerten, Tom
van Dijk, Lisanne V.
Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
title Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
title_full Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
title_fullStr Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
title_full_unstemmed Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
title_short Semi-automated (18)F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
title_sort semi-automated (18)f-fdg pet segmentation methods for tumor volume determination in non-hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900370/
https://www.ncbi.nlm.nih.gov/pubmed/36789266
http://dx.doi.org/10.1016/j.csbj.2023.01.023
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