18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma
Abstract The prognostic value of metabolic tumor burden parameters obtained from 18F-FDG PET/CT imaging was evaluated in this retrospective national multicenter study of patients with metastatic posterior uveal melanoma (PUM) and compared to the largest diameter of the largest metastatic lesion (LDL...
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-88625-w |
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| author | Tine Gadegaard Hindso Torben Martinussen Camilla Wium Bjerrum Sune Høgild Keller Annika Loft Mette Bagger Sjøl Kristoffer Nissen Carsten Faber Marco Donia Inge Marie Svane Eva Ellebaek Steffen Heegaard Jens Folke Kiilgaard Karine Madsen |
| author_facet | Tine Gadegaard Hindso Torben Martinussen Camilla Wium Bjerrum Sune Høgild Keller Annika Loft Mette Bagger Sjøl Kristoffer Nissen Carsten Faber Marco Donia Inge Marie Svane Eva Ellebaek Steffen Heegaard Jens Folke Kiilgaard Karine Madsen |
| author_sort | Tine Gadegaard Hindso |
| collection | DOAJ |
| description | Abstract The prognostic value of metabolic tumor burden parameters obtained from 18F-FDG PET/CT imaging was evaluated in this retrospective national multicenter study of patients with metastatic posterior uveal melanoma (PUM) and compared to the largest diameter of the largest metastatic lesion (LDLM) and the American Joint Committee on Cancer (AJCC) staging system. The Maximal Standard Uptake Value (SUVmax), Metabolic Tumor Volume (MTV), and Total Lesion Glycolysis (TLG) were obtained in 106 patients. Higher values of SUVmax (p = 0.007, log-rank), MTV (p < 0.001, log-rank), and TLG (p < 0.001, long-rank) were associated with shorter survival. The three parameters were also independent predictors in the multivariate Cox model, while the AJCC staging turned insignificant. Time-dependent positive predictive value (PPV) analysis and Receiver Operating Characteristics (ROC) curves showed that MTV (Area Under the Curve (AUC) = 0.78), TLG (AUC = 0.78), and LDLM (AUC = 0.76) were good predictors of 1-year survival. For the subset of 97 patients with liver metastases, the corresponding regional measurements in the liver tended to be even better predictors. In conclusion, MTV and TLG were found to be better predictors of survival in metastatic PUM than the AJCC staging system, but when LDLM was used as a continuous variable it showed an equally good prediction of 1-year survival. |
| format | Article |
| id | doaj-art-5483e8d7b8d340719f74dc5e1df6c33b |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-5483e8d7b8d340719f74dc5e1df6c33b2025-02-09T12:32:26ZengNature PortfolioScientific Reports2045-23222025-02-0115111310.1038/s41598-025-88625-w18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanomaTine Gadegaard Hindso0Torben Martinussen1Camilla Wium Bjerrum2Sune Høgild Keller3Annika Loft4Mette Bagger Sjøl5Kristoffer Nissen6Carsten Faber7Marco Donia8Inge Marie Svane9Eva Ellebaek10Steffen Heegaard11Jens Folke Kiilgaard12Karine Madsen13Department of Ophthalmology, Copenhagen University Hospital – RigshospitaletDepartment of Biostatistics, University of CopenhagenDepartment of Radiology, Copenhagen University Hospital – RigshospitaletDepartment of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital – RigshospitaletDepartment of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital – RigshospitaletDepartment of Ophthalmology, Copenhagen University Hospital – RigshospitaletDepartment of Ophthalmology, Copenhagen University Hospital – RigshospitaletDepartment of Ophthalmology, Copenhagen University Hospital – RigshospitaletDepartment of Oncology, National Center for Cancer Immune Therapy (CCIT-DK), Copenhagen University Hospital – Herlev and GentofteDepartment of Oncology, National Center for Cancer Immune Therapy (CCIT-DK), Copenhagen University Hospital – Herlev and GentofteDepartment of Oncology, National Center for Cancer Immune Therapy (CCIT-DK), Copenhagen University Hospital – Herlev and GentofteDepartment of Ophthalmology, Copenhagen University Hospital – RigshospitaletDepartment of Ophthalmology, Copenhagen University Hospital – RigshospitaletDepartment of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital – RigshospitaletAbstract The prognostic value of metabolic tumor burden parameters obtained from 18F-FDG PET/CT imaging was evaluated in this retrospective national multicenter study of patients with metastatic posterior uveal melanoma (PUM) and compared to the largest diameter of the largest metastatic lesion (LDLM) and the American Joint Committee on Cancer (AJCC) staging system. The Maximal Standard Uptake Value (SUVmax), Metabolic Tumor Volume (MTV), and Total Lesion Glycolysis (TLG) were obtained in 106 patients. Higher values of SUVmax (p = 0.007, log-rank), MTV (p < 0.001, log-rank), and TLG (p < 0.001, long-rank) were associated with shorter survival. The three parameters were also independent predictors in the multivariate Cox model, while the AJCC staging turned insignificant. Time-dependent positive predictive value (PPV) analysis and Receiver Operating Characteristics (ROC) curves showed that MTV (Area Under the Curve (AUC) = 0.78), TLG (AUC = 0.78), and LDLM (AUC = 0.76) were good predictors of 1-year survival. For the subset of 97 patients with liver metastases, the corresponding regional measurements in the liver tended to be even better predictors. In conclusion, MTV and TLG were found to be better predictors of survival in metastatic PUM than the AJCC staging system, but when LDLM was used as a continuous variable it showed an equally good prediction of 1-year survival.https://doi.org/10.1038/s41598-025-88625-wUveal melanomaFDG PETMetabolic tumor burdenMetabolic tumor volume (MTV)Total lesion glycolysis (TLG)Survival |
| spellingShingle | Tine Gadegaard Hindso Torben Martinussen Camilla Wium Bjerrum Sune Høgild Keller Annika Loft Mette Bagger Sjøl Kristoffer Nissen Carsten Faber Marco Donia Inge Marie Svane Eva Ellebaek Steffen Heegaard Jens Folke Kiilgaard Karine Madsen 18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma Scientific Reports Uveal melanoma FDG PET Metabolic tumor burden Metabolic tumor volume (MTV) Total lesion glycolysis (TLG) Survival |
| title | 18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma |
| title_full | 18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma |
| title_fullStr | 18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma |
| title_full_unstemmed | 18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma |
| title_short | 18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma |
| title_sort | 18f fdg pet ct assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma |
| topic | Uveal melanoma FDG PET Metabolic tumor burden Metabolic tumor volume (MTV) Total lesion glycolysis (TLG) Survival |
| url | https://doi.org/10.1038/s41598-025-88625-w |
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