Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis
PurposeTo assess the association between computed tomography (CT)-derived quantitative measures of body composition profiling and chemotherapy-related complications, in terms of dose reduction, premature discontinuation of chemotherapy, and cycle delays in patients with ovarian cancer. Secondary pur...
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| Format: | Article |
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Frontiers Media S.A.
2021-11-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.718815/full |
| _version_ | 1828959599521169408 |
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| author | Maria Del Grande Stefania Rizzo Stefania Rizzo Gabriele Maria Nicolino Ilaria Colombo Lorenzo Rossi Lucia Manganaro Filippo Del Grande Filippo Del Grande |
| author_facet | Maria Del Grande Stefania Rizzo Stefania Rizzo Gabriele Maria Nicolino Ilaria Colombo Lorenzo Rossi Lucia Manganaro Filippo Del Grande Filippo Del Grande |
| author_sort | Maria Del Grande |
| collection | DOAJ |
| description | PurposeTo assess the association between computed tomography (CT)-derived quantitative measures of body composition profiling and chemotherapy-related complications, in terms of dose reduction, premature discontinuation of chemotherapy, and cycle delays in patients with ovarian cancer. Secondary purposes were to evaluate associations between sarcopenia and survival, and to evaluate differences in body composition profiling at baseline and after neoadjuvant chemotherapy.Materials and MethodsThe study population was retrospectively selected from a database of patients with newly diagnosed ovarian cancer (any stage) referred to our Institution between Feb 2011 and Mar 2020. Clinical data were recorded, and CT images at the level of the 3rd lumbar vertebra were stored. By using specific software, skeletal muscle area (SMA), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle density (SMD) were extracted. Skeletal muscle index (SMI) was then calculated. Statistical analysis was performed by logistic regression models to identify body composition features predictive of dose reduction, premature end of chemotherapy, and cycle delays. Kaplan-Meier analyses were performed to assess overall survival (OS) and progression-free survival (PFS). The log-rank test was used to determine differences in OS and PFS between sarcopenic and non-sarcopenic patients. Wilcoxon test was performed to compare body composition features before and after neoadjuvant chemotherapy (NACT).ResultsSixty-nine patients were included. A significant association was found between VAT and cycle delays (OR = 1.01, z = 2.01, 95% CI: 1.00–1.02, p < 0.05), between SMA and early discontinuation of chemotherapy (OR = 1.03, z = 2.10, 95% CI: 1.00–1.05, p < 0.05), and between mean SMD and cycle delays (OR = 0.92, z = −2.70, 95%CI: 0.87–0.98, p < 0.01). No significant difference emerged for OS in sarcopenic and non-sarcopenic patients, nor in CT body composition features before and after NACT.ConclusionsIn ovarian cancer patients, CT-derived body composition profiling might predict the risk of chemotoxicity. In particular, VAT and SMD are associated with chemotherapy cycle delays, and SMA with early discontinuation of chemotherapy. |
| first_indexed | 2024-12-14T09:10:13Z |
| format | Article |
| id | doaj.art-f4ce1cbdfbcb46abb884fb6d10e61029 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-14T09:10:13Z |
| publishDate | 2021-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-f4ce1cbdfbcb46abb884fb6d10e610292022-12-21T23:08:35ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-11-011110.3389/fonc.2021.718815718815Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and PrognosisMaria Del Grande0Stefania Rizzo1Stefania Rizzo2Gabriele Maria Nicolino3Ilaria Colombo4Lorenzo Rossi5Lucia Manganaro6Filippo Del Grande7Filippo Del Grande8Service of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Bellinzona, SwitzerlandIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale, Lugano, SwitzerlandFacoltà di Scienze Biomediche, Università della Svizzera Italiana, Lugano, SwitzerlandUniversità degli Studi di Milano, Postgraduation School in Radiodiagnostics, Milan, ItalyService of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Bellinzona, SwitzerlandService of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Bellinzona, SwitzerlandDepartment of Radiological, Oncological and Pathological Sciences, University of Rome Sapienza, Rome, ItalyIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale, Lugano, SwitzerlandFacoltà di Scienze Biomediche, Università della Svizzera Italiana, Lugano, SwitzerlandPurposeTo assess the association between computed tomography (CT)-derived quantitative measures of body composition profiling and chemotherapy-related complications, in terms of dose reduction, premature discontinuation of chemotherapy, and cycle delays in patients with ovarian cancer. Secondary purposes were to evaluate associations between sarcopenia and survival, and to evaluate differences in body composition profiling at baseline and after neoadjuvant chemotherapy.Materials and MethodsThe study population was retrospectively selected from a database of patients with newly diagnosed ovarian cancer (any stage) referred to our Institution between Feb 2011 and Mar 2020. Clinical data were recorded, and CT images at the level of the 3rd lumbar vertebra were stored. By using specific software, skeletal muscle area (SMA), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle density (SMD) were extracted. Skeletal muscle index (SMI) was then calculated. Statistical analysis was performed by logistic regression models to identify body composition features predictive of dose reduction, premature end of chemotherapy, and cycle delays. Kaplan-Meier analyses were performed to assess overall survival (OS) and progression-free survival (PFS). The log-rank test was used to determine differences in OS and PFS between sarcopenic and non-sarcopenic patients. Wilcoxon test was performed to compare body composition features before and after neoadjuvant chemotherapy (NACT).ResultsSixty-nine patients were included. A significant association was found between VAT and cycle delays (OR = 1.01, z = 2.01, 95% CI: 1.00–1.02, p < 0.05), between SMA and early discontinuation of chemotherapy (OR = 1.03, z = 2.10, 95% CI: 1.00–1.05, p < 0.05), and between mean SMD and cycle delays (OR = 0.92, z = −2.70, 95%CI: 0.87–0.98, p < 0.01). No significant difference emerged for OS in sarcopenic and non-sarcopenic patients, nor in CT body composition features before and after NACT.ConclusionsIn ovarian cancer patients, CT-derived body composition profiling might predict the risk of chemotoxicity. In particular, VAT and SMD are associated with chemotherapy cycle delays, and SMA with early discontinuation of chemotherapy.https://www.frontiersin.org/articles/10.3389/fonc.2021.718815/fullovarian cancerbody compositionchemotherapyvisceral adipose tissueskeletal muscle area |
| spellingShingle | Maria Del Grande Stefania Rizzo Stefania Rizzo Gabriele Maria Nicolino Ilaria Colombo Lorenzo Rossi Lucia Manganaro Filippo Del Grande Filippo Del Grande Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis Frontiers in Oncology ovarian cancer body composition chemotherapy visceral adipose tissue skeletal muscle area |
| title | Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis |
| title_full | Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis |
| title_fullStr | Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis |
| title_full_unstemmed | Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis |
| title_short | Computed Tomography–Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis |
| title_sort | computed tomography based body composition in patients with ovarian cancer association with chemotoxicity and prognosis |
| topic | ovarian cancer body composition chemotherapy visceral adipose tissue skeletal muscle area |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2021.718815/full |
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