Automatic assessment of body composition in children with lymphoma: results of a [18F]FDG-PET/MR study.
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| Title: | Automatic assessment of body composition in children with lymphoma: results of a [18F]FDG-PET/MR study. |
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| Authors: | Giraudo, Chiara1 (AUTHOR) chiara.giraudo@unipd.it, Cavallin, Celeste2 (AUTHOR), Pillon, Marta3 (AUTHOR), Carraro, Elisa3 (AUTHOR), Fichera, Giulia4 (AUTHOR), Cecchin, Diego5 (AUTHOR), Zucchetta, Pietro5 (AUTHOR) |
| Source: | European Radiology. Jan2025, Vol. 35 Issue 1, p341-350. 10p. |
| Subjects: | Magnetic resonance imaging, Adipose tissues, Childhood cancer, Body composition, Medical sciences |
| Abstract: | Objectives: To use Dixon-MR images extracted from [18F]FDG-PET/MR scans to perform an automatic, volumetric segmentation and quantification of body composition in pediatric patients with lymphoma. Materials and methods: Pediatric patients with lymphoma examined by [18F]FDG-PET/MR at diagnosis and restaging were included. At each time point, axial fat and water Dixon T1w images of the thighs were automatically segmented and muscle volume, subcutaneous, intramuscular, and intermuscular fat volume were quantified. The metabolic activity of the largest nodal lesion and of muscles and subcutaneous fat was recorded. The paired samples t-test and Spearman's correlation coefficient were applied to evaluate potential differences between the two time points and the relationship between metabolic and body composition metrics, respectively. By logistic regression analysis, the prognostic role of the investigated variables was assessed. The applied significance level was p < 0.05 for all analyses. Results: Thirty-seven patients (mean age ± SD 14 ± 3-years-old; 20 females) matched the inclusion criteria. After chemotherapy (interval between the two PET/MR scans, 56–80 days; median 65 days), muscle volume significantly decreased (629 ± 259 cm3 vs 567 ± 243 cm3, p < 0.001) while subcutaneous, intramuscular and intermuscular fat increased (476 ± 255 cm3 vs 607 ± 254 cm3, p < 0.001; 63 ± 20 cm3 vs 76 ± 26 cm3, p < 0.001; 58 ± 19 cm3 vs 71 ± 23 cm3, p < 0.001); the metabolic activity of the main nodal lesion, muscles, and subcutaneous fat significantly decreased (p < 0.05, each). None of the examined variables acted as predictors of the response to treatment (p = 0.283). A strong correlation between BMI and subcutaneous fat volume at diagnosis (r = 0.675, p < 0.001) and restaging (r = 0.600, p < 0.001) emerged. Conclusions: The proposed method demonstrated that pediatric patients with lymphoma undergo muscle loss and an increase of subcutaneous fat during treatment. Clinical relevance statement: The proposed automatic and volumetric MR-based assessment of body composition in children with lymphoma can be used to monitor the effect of chemotherapy and may guide tailored exercise programs during chemotherapy. Key Points: T1w Dixon images can be used for the automatic segmentation and quantification of body composition. Muscle and subcutaneous fat volume do not act as predictors of the response to treatment in children with lymphoma. Chemotherapy induces changes in body composition in children with lymphoma. [ABSTRACT FROM AUTHOR] |
| Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 181553157 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Automatic assessment of body composition in children with lymphoma: results of a [<superscript>18</superscript>F]FDG-PET/MR study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Giraudo%2C+Chiara%22">Giraudo, Chiara</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chiara.giraudo@unipd.it</i><br /><searchLink fieldCode="AR" term="%22Cavallin%2C+Celeste%22">Cavallin, Celeste</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pillon%2C+Marta%22">Pillon, Marta</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carraro%2C+Elisa%22">Carraro, Elisa</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fichera%2C+Giulia%22">Fichera, Giulia</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cecchin%2C+Diego%22">Cecchin, Diego</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zucchetta%2C+Pietro%22">Zucchetta, Pietro</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Jan2025, Vol. 35 Issue 1, p341-350. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Adipose+tissues%22">Adipose tissues</searchLink><br /><searchLink fieldCode="DE" term="%22Childhood+cancer%22">Childhood cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Body+composition%22">Body composition</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+sciences%22">Medical sciences</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objectives: To use Dixon-MR images extracted from [18F]FDG-PET/MR scans to perform an automatic, volumetric segmentation and quantification of body composition in pediatric patients with lymphoma. Materials and methods: Pediatric patients with lymphoma examined by [18F]FDG-PET/MR at diagnosis and restaging were included. At each time point, axial fat and water Dixon T1w images of the thighs were automatically segmented and muscle volume, subcutaneous, intramuscular, and intermuscular fat volume were quantified. The metabolic activity of the largest nodal lesion and of muscles and subcutaneous fat was recorded. The paired samples t-test and Spearman's correlation coefficient were applied to evaluate potential differences between the two time points and the relationship between metabolic and body composition metrics, respectively. By logistic regression analysis, the prognostic role of the investigated variables was assessed. The applied significance level was p < 0.05 for all analyses. Results: Thirty-seven patients (mean age ± SD 14 ± 3-years-old; 20 females) matched the inclusion criteria. After chemotherapy (interval between the two PET/MR scans, 56–80 days; median 65 days), muscle volume significantly decreased (629 ± 259 cm3 vs 567 ± 243 cm3, p < 0.001) while subcutaneous, intramuscular and intermuscular fat increased (476 ± 255 cm3 vs 607 ± 254 cm3, p < 0.001; 63 ± 20 cm3 vs 76 ± 26 cm3, p < 0.001; 58 ± 19 cm3 vs 71 ± 23 cm3, p < 0.001); the metabolic activity of the main nodal lesion, muscles, and subcutaneous fat significantly decreased (p < 0.05, each). None of the examined variables acted as predictors of the response to treatment (p = 0.283). A strong correlation between BMI and subcutaneous fat volume at diagnosis (r = 0.675, p < 0.001) and restaging (r = 0.600, p < 0.001) emerged. Conclusions: The proposed method demonstrated that pediatric patients with lymphoma undergo muscle loss and an increase of subcutaneous fat during treatment. Clinical relevance statement: The proposed automatic and volumetric MR-based assessment of body composition in children with lymphoma can be used to monitor the effect of chemotherapy and may guide tailored exercise programs during chemotherapy. Key Points: T1w Dixon images can be used for the automatic segmentation and quantification of body composition. Muscle and subcutaneous fat volume do not act as predictors of the response to treatment in children with lymphoma. Chemotherapy induces changes in body composition in children with lymphoma. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-024-10957-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 341 Subjects: – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Adipose tissues Type: general – SubjectFull: Childhood cancer Type: general – SubjectFull: Body composition Type: general – SubjectFull: Medical sciences Type: general Titles: – TitleFull: Automatic assessment of body composition in children with lymphoma: results of a [18F]FDG-PET/MR study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Giraudo, Chiara – PersonEntity: Name: NameFull: Cavallin, Celeste – PersonEntity: Name: NameFull: Pillon, Marta – PersonEntity: Name: NameFull: Carraro, Elisa – PersonEntity: Name: NameFull: Fichera, Giulia – PersonEntity: Name: NameFull: Cecchin, Diego – PersonEntity: Name: NameFull: Zucchetta, Pietro IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 35 – Type: issue Value: 1 Titles: – TitleFull: European Radiology Type: main |
| ResultId | 1 |