Jin Hwa Hong1, Un Suk Jung, Kyung Jin Min, Jae Kwan Lee, Sungeun Kim, Jae Seon Eo. 1. Departments of aObstetrics and Gynecology bNuclear Medicine, Guro Hospital cDepartment of Obstetrics and Gynecology, Ansan Hospital dDepartment of Nuclear Medicine, Anam Hospital, College of Medicine, Korea University eDepartment of Obstetrics and Gynecology, Hanyang University Guri Hospital, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Abstract
AIM: The aim of this study was to determine the most relevant parameters of fluorine-18 fluorodeoxyglucose (F-FDG) PET/computed tomography (CT) for predicting recurrence in patients with locally advanced cervical cancer. MATERIALS AND METHODS: Fifty-six patients diagnosed with International Federation of Gynecology and Obstetrics (FIGO) stage IIB to IVA cervical cancer who underwent F-FDG PET/CT before definitive chemoradiotherapy were retrospectively enrolled. Various PET parameters, namely, maximum standardized uptake value, mean standardized uptake value, metabolic tumor volume, and total lesion glycolysis (TLG) of the primary tumor, were analyzed to evaluate the relationship between these PET parameters and recurrence-free survival (RFS). The cut-off values of PET parameters that showed the best trade-off between sensitivity and specificity for RFS were determined by receiver operating characteristic curve analysis. RESULTS: The median follow-up was 20 months (range, 6-63 months). Univariate analysis indicated that higher FIGO stage [hazard ratio (HR) 5.606, 95% confidence interval (CI) 1.682-18.68, P=0.005], metabolic tumor volume more than 47.81 cm (HR 6.203, 95% CI 1.351-28.481, P=0.019), and TLG more than 215.02 (HR 11.817, 95% CI 1.518-91.963, P=0.018) were associated with RFS. In multivariate analysis, FIGO stage (HR 4.618, 95% CI 1.295-16.463, P=0.018) and TLG more than 215.02 (HR 10.171, 95% CI 1.246-83.044, P=0.030) were independent predictive factors for RFS. Kaplan-Meier curves for RFS indicated that patients with TLG less than or equal to 215.02 showed better RFS (P=0.003). CONCLUSION: Pretreatment TLG proved to be an independent prognostic factor for RFS in patients with locally advanced cervical cancer treated by definitive chemoradiotherapy.
AIM: The aim of this study was to determine the most relevant parameters of fluorine-18 fluorodeoxyglucose (F-FDG) PET/computed tomography (CT) for predicting recurrence in patients with locally advanced cervical cancer. MATERIALS AND METHODS: Fifty-six patients diagnosed with International Federation of Gynecology and Obstetrics (FIGO) stage IIB to IVA cervical cancer who underwent F-FDG PET/CT before definitive chemoradiotherapy were retrospectively enrolled. Various PET parameters, namely, maximum standardized uptake value, mean standardized uptake value, metabolic tumor volume, and total lesion glycolysis (TLG) of the primary tumor, were analyzed to evaluate the relationship between these PET parameters and recurrence-free survival (RFS). The cut-off values of PET parameters that showed the best trade-off between sensitivity and specificity for RFS were determined by receiver operating characteristic curve analysis. RESULTS: The median follow-up was 20 months (range, 6-63 months). Univariate analysis indicated that higher FIGO stage [hazard ratio (HR) 5.606, 95% confidence interval (CI) 1.682-18.68, P=0.005], metabolic tumor volume more than 47.81 cm (HR 6.203, 95% CI 1.351-28.481, P=0.019), and TLG more than 215.02 (HR 11.817, 95% CI 1.518-91.963, P=0.018) were associated with RFS. In multivariate analysis, FIGO stage (HR 4.618, 95% CI 1.295-16.463, P=0.018) and TLG more than 215.02 (HR 10.171, 95% CI 1.246-83.044, P=0.030) were independent predictive factors for RFS. Kaplan-Meier curves for RFS indicated that patients with TLG less than or equal to 215.02 showed better RFS (P=0.003). CONCLUSION: Pretreatment TLG proved to be an independent prognostic factor for RFS in patients with locally advanced cervical cancer treated by definitive chemoradiotherapy.
Authors: Paula Lapa; Bárbara Oliveiros; Margarida Marques; Jorge Isidoro; Filipe Caseiro Alves; J M Nascimento Costa; Gracinda Costa; João Pedroso de Lima Journal: Eur J Nucl Med Mol Imaging Date: 2017-08-07 Impact factor: 9.236
Authors: Mubarik A Arshad; Samuel Gitau; Henry Tam; Won-Ho E Park; Neva H Patel; Andrea Rockall; Eric O Aboagye; Nishat Bharwani; Tara D Barwick Journal: Eur J Nucl Med Mol Imaging Date: 2020-12-11 Impact factor: 9.236
Authors: Romain-David Seban; Charlotte Robert; Laurent Dercle; Randy Yeh; Ariane Dunant; Sylvain Reuze; Antoine Schernberg; Roger Sun; Fabien Mignot; Marie Terroir; Martin Schlumberger; Christine Haie-Meder; Cyrus Chargari; Eric Deutsch Journal: Oncoimmunology Date: 2019-03-06 Impact factor: 8.110