18 F-FDG PET/CT in lung cancer. The added value of quantification
| Autor: | M.A.T. Marques, F. Barata, Jorge Manuel Pereira Guieiro Isidoro, J. J. P. de Lima, Gracinda Costa, Paula Lapa |
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| Rok vydání: | 2017 |
| Předmět: |
Oncology
medicine.medical_specialty Multivariate analysis Visual interpretation business.industry General Engineering Total population medicine.disease 030218 nuclear medicine & medical imaging 03 medical and health sciences Total lesion glycolysis 0302 clinical medicine 030220 oncology & carcinogenesis Internal medicine medicine General Earth and Planetary Sciences Radiology Nuclear Medicine and imaging Fdg pet ct Stage (cooking) Lung cancer business Male gender General Environmental Science |
| Zdroj: | Revista Española de Medicina Nuclear e Imagen Molecular. 36:342-349 |
| ISSN: | 2253-654X |
| Popis: | Objective To test a software application for the quantification of metabolic heterogeneity and to evaluate its superiority in relation to visual interpretation. To investigate if a quantitative analysis adds information to the interpretation of 18 F-FDG-PET/CT. Material and methods The study analyzed 215 patients with a 18 F-FDG-PET/CT done for the initial staging of lung cancer between March 2011 and December 2015. The study included 57 (26.5%) women and 158 (73.5%) men, with ages ranging from 34 to 88 years (mean ± SD: 67.23 ± 10.04). There were 82 surgical stages (I, II, IIIA), and 133 non-surgical stages (IIIB, IV). The primary tumour was analyzed quantitatively by obtaining the following parameters: SUVmax, metabolic active tumour volume (MATV), total lesion glycolysis (TLG), and the entropy heterogeneity index (ET). Heterogeneity was assessed visually. Death dates and/or the follow-up time were registered, ranging from 0.70 to 67.60 months (mean ± SD: 23.20 ± 17.68). Results In multivariate analysis, ET emerged as a better predictor of survival than visual analysis of heterogeneity that was not statistically significant. The C-index determination demonstrated that all quantitative parameters were statistically-significant predictors of survival. Cut-offs were obtained in order to compare survival times. A multivariate analysis was performed. In the total population, the best predictor was the TNM stage, but MATV, ET, and male gender were statistically significant and independent predictors of survival. In stages without surgical indication, the best predictor was the TNM stage, but the MATV and male gender were statistically significant and independent predictors of survival. In the surgical stages, ET was the only statistically significant and independent predictor of survival. Conclusions Quantification adds prognostic information to the visual analysis of 18 F-FDG-PET/CT. |
| Databáze: | OpenAIRE |
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