Yoshiko Ueno1,2, Robert Lisbona3, Tsutomu Tamada4, Amer Alaref1, Kazuro Sugimura2, Caroline Reinhold1. 1. 1 Department of Diagnostic Radiology, Royal Victoria Hospital, McGill University Health Center, Montreal, QC, Canada. 2. 2 Department of Radiology, Kobe University Graduate School of Medicine, Kobe-shi, Hyogo, Japan. 3. 3 Department of Nuclear Medicine, Royal Victoria Hospital, McGill University Health Center, Montreal, QC, Canada. 4. 4 Department of Radiology, NYU Langone Radiology at Center for Biomedical Imaging, New York, NY, USA.
Abstract
OBJECTIVE: To evaluate the prognostic utility of volume-based parameters of fluorine-18 fludeoxyglucose positron emission tomography (18F-FDG PET) and apparent diffusion coefficient (ADC) histogram analysis for tumour response to therapy and event-free survival (EFS) in patients with uterine cervical cancer receiving chemoradiotherapy. METHODS: The study included 21 patients diagnosed with locally advanced uterine cervical cancer who underwent pre-treatment MRI and 18F-FDG PET and were treated with concurrent chemoradiotherapy. 18F-FDG parameters: maximum and mean standardized uptake value; metabolic tumour volume (MTV); total lesion glycolysis (TLG); ADC parameters: maximum, mean and minimum values; percentile ADC values (10-90%); skewness and kurtosis of ADC were measured and compared between the responder and non-responder groups using a Wilcoxon rank-sum test. The Cox regression analysis and Kaplan-Meier survival curves were performed for EFS analysis. RESULTS: MTV and TLG of the primary tumour were significantly higher in the non-responder group than in the responder group (p = 0.04 and p = 0.01). Applying Cox regression multivariate analysis, MTV [hazard ratio (HR), 4.725; p = 0.036], TLG (HR, 4.725; p = 0.036) and 10-percentile ADC (HR, 5.207; p = 0.048) showed a statistically significant association with EFS. With the optimal cut-off value, the EFS rates above the cut-off value for MTV and TLG were significantly lower than that below the cut-off value (p = 0.002 and p = 0.002). CONCLUSION: Pre-treatment volume-based quantitative parameters of 18F-FDG PET may have better potential than ADC histogram for predicting treatment response and EFS in patients with locally advanced cervical cancer. Advances in knowledge: In this study, pre-treatment volume-based quantitative parameters of 18F-FDG PET had better potential than ADC histogram for predicting treatment response and survival in patients with locally advanced cervical cancer.
OBJECTIVE: To evaluate the prognostic utility of volume-based parameters of fluorine-18 fludeoxyglucose positron emission tomography (18F-FDG PET) and apparent diffusion coefficient (ADC) histogram analysis for tumour response to therapy and event-free survival (EFS) in patients with uterine cervical cancer receiving chemoradiotherapy. METHODS: The study included 21 patients diagnosed with locally advanced uterine cervical cancer who underwent pre-treatment MRI and 18F-FDG PET and were treated with concurrent chemoradiotherapy. 18F-FDG parameters: maximum and mean standardized uptake value; metabolic tumour volume (MTV); total lesion glycolysis (TLG); ADC parameters: maximum, mean and minimum values; percentile ADC values (10-90%); skewness and kurtosis of ADC were measured and compared between the responder and non-responder groups using a Wilcoxon rank-sum test. The Cox regression analysis and Kaplan-Meier survival curves were performed for EFS analysis. RESULTS:MTV and TLG of the primary tumour were significantly higher in the non-responder group than in the responder group (p = 0.04 and p = 0.01). Applying Cox regression multivariate analysis, MTV [hazard ratio (HR), 4.725; p = 0.036], TLG (HR, 4.725; p = 0.036) and 10-percentile ADC (HR, 5.207; p = 0.048) showed a statistically significant association with EFS. With the optimal cut-off value, the EFS rates above the cut-off value for MTV and TLG were significantly lower than that below the cut-off value (p = 0.002 and p = 0.002). CONCLUSION: Pre-treatment volume-based quantitative parameters of 18F-FDG PET may have better potential than ADC histogram for predicting treatment response and EFS in patients with locally advanced cervical cancer. Advances in knowledge: In this study, pre-treatment volume-based quantitative parameters of 18F-FDG PET had better potential than ADC histogram for predicting treatment response and survival in patients with locally advanced cervical cancer.
Authors: Whitney B Pope; Hyun J Kim; Jing Huo; Jeffry Alger; Matthew S Brown; David Gjertson; Victor Sai; Jonathan R Young; Leena Tekchandani; Timothy Cloughesy; Paul S Mischel; Albert Lai; Phioanh Nghiemphu; Syed Rahmanuddin; Jonathan Goldin Journal: Radiology Date: 2009-07 Impact factor: 11.105
Authors: Dow-Mu Koh; Erica Scurr; David Collins; Baris Kanber; Andrew Norman; Martin O Leach; Janet E Husband Journal: AJR Am J Roentgenol Date: 2007-04 Impact factor: 3.959
Authors: W A Peters; P Y Liu; R J Barrett; R J Stock; B J Monk; J S Berek; L Souhami; P Grigsby; W Gordon; D S Alberts Journal: J Clin Oncol Date: 2000-04 Impact factor: 44.544
Authors: Nicolas Magné; Cyrus Chargari; Lisa Vicenzi; Norman Gillion; Taha Messai; Jacques Magné; Gérald Bonardel; Christine Haie-Meder Journal: Cancer Treat Rev Date: 2008-10-11 Impact factor: 12.111
Authors: Niels W Schurink; Simon R van Kranen; Maaike Berbee; Wouter van Elmpt; Frans C H Bakers; Sander Roberti; Joost J M van Griethuysen; Lisa A Min; Max J Lahaye; Monique Maas; Geerard L Beets; Regina G H Beets-Tan; Doenja M J Lambregts Journal: Eur Radiol Date: 2021-02-10 Impact factor: 5.315
Authors: Niels W Schurink; Lisa A Min; Maaike Berbee; Wouter van Elmpt; Joost J M van Griethuysen; Frans C H Bakers; Sander Roberti; Simon R van Kranen; Max J Lahaye; Monique Maas; Geerard L Beets; Regina G H Beets-Tan; Doenja M J Lambregts Journal: Eur Radiol Date: 2020-02-07 Impact factor: 5.315
Authors: Lisa A Min; Francesca Castagnoli; Wouter V Vogel; Jisk P Vellenga; Joost J M van Griethuysen; Max J Lahaye; Monique Maas; Regina G H Beets Tan; Doenja M J Lambregts Journal: Br J Radiol Date: 2021-08-13 Impact factor: 3.629