Prognostic Value of Baseline and Interim Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on 18F-FDG PET-CT in Patients with Follicular Lymphoma
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Purpose The purpose of this study was to investigate the prognostic significance of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) in patients with follicular lymphoma (FL) at baseline and mid-treatment with 18F-fluorodeoxyglucose positron emission tomography computed tomography (PET-CT) scans. Materials and Methods The study analyzed data from 48 patients with FL who were treated in Jiangsu Province Hospital and reviewed their baseline PET-CT scans. TMTV and TLG were computed by using the absolute value of 2.0, 2.5, and 3.0 thresholding method, respectively. Results Median age was 53 years, 75.0% of patients had stage III to IV disease, 43.8% had a Follicular Lymphoma International Prognostic Index 1 (FLIPI1) score of 3 to 5 and 20.8% had a FLIPI2 score of 3 to 5. Receiver operating characteristic (ROC) curve analysis showed the optimal cut-off values for TMTV3.0 and TLG3.0 were 476.4 (sensitivity, 85.7%; specificity, 78.0%; area under the curve [AUC], 0.760; p=0.003) and 2,676.9 (sensitivity, 71.4%; specificity, 78.0%; AUC, 0.760; p=0.003). On multivariable analysis, TMTV3.0 and TLG3.0 were independent predictors of both progression-free survival (PFS) (hazard ratio [HR], 5.406; 95% confidence interval [CI], 1.326 to 22.040; p=0.019 and HR, 6.502; 95% CI, 1.079 to 39.182; p=0.042) and overall survival (OS) (HR, 4.111; 95% CI, 1.125 to 15.027; p=0.033 and HR, 5.885; 95% CI, 1.014 to 34.148; p=0.049). ROC curve analysis showed the optimal cut-off values for TMTV3.0 and TLG3.0 were 66.3% (sensitivity, 85.7%; specificity, 63.4%; AUC, 0.774; p < 0.001) and 64.5% (sensitivity, 85.7%; specificity, 65.9%; AUC, 0.777; p < 0.001). Conclusion Baseline TMTV and TLG are strong predictors of PFS and OS in FL. Furthermore, interim TMTV (TMTV > 66.3%) and TLG (TLG > 64.5%) reduction are valuable tools for early treatment response assessment in FL patients.
Abstract
Purpose The purpose of this study was to investigate the prognostic significance of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) in patients with follicular lymphoma (FL) at baseline and mid-treatment with 18F-fluorodeoxyglucose positron emission tomography computed tomography (PET-CT) scans. Materials and Methods The study analyzed data from 48 patients with FL who were treated in Jiangsu Province Hospital and reviewed their baseline PET-CT scans. TMTV and TLG were computed by using the absolute value of 2.0, 2.5, and 3.0 thresholding method, respectively. Results Median age was 53 years, 75.0% of patients had stage III to IV disease, 43.8% had a Follicular Lymphoma International Prognostic Index 1 (FLIPI1) score of 3 to 5 and 20.8% had a FLIPI2 score of 3 to 5. Receiver operating characteristic (ROC) curve analysis showed the optimal cut-off values for TMTV3.0 and TLG3.0 were 476.4 (sensitivity, 85.7%; specificity, 78.0%; area under the curve [AUC], 0.760; p=0.003) and 2,676.9 (sensitivity, 71.4%; specificity, 78.0%; AUC, 0.760; p=0.003). On multivariable analysis, TMTV3.0 and TLG3.0 were independent predictors of both progression-free survival (PFS) (hazard ratio [HR], 5.406; 95% confidence interval [CI], 1.326 to 22.040; p=0.019 and HR, 6.502; 95% CI, 1.079 to 39.182; p=0.042) and overall survival (OS) (HR, 4.111; 95% CI, 1.125 to 15.027; p=0.033 and HR, 5.885; 95% CI, 1.014 to 34.148; p=0.049). ROC curve analysis showed the optimal cut-off values for TMTV3.0 and TLG3.0 were 66.3% (sensitivity, 85.7%; specificity, 63.4%; AUC, 0.774; p < 0.001) and 64.5% (sensitivity, 85.7%; specificity, 65.9%; AUC, 0.777; p < 0.001). Conclusion Baseline TMTV and TLG are strong predictors of PFS and OS in FL. Furthermore, interim TMTV (TMTV > 66.3%) and TLG (TLG > 64.5%) reduction are valuable tools for early treatment response assessment in FL patients.
참고문헌 (29)
- Smith A, "Lymphoma incidence, survival and prevalence 2004-2014 : sub-type analyses from the UK's Haematological Malignancy Research Network", Br J Cancer, 112, pp.1575~1584 (2015)
- "The World Health Organization classification of malignant lymphomas in japan: incidence of recently recognized entities", Pathol Int, 50, pp.696~702 (2000), Lymphoma Study Group of Japanese Pathologists
- Chen CY, "Chromosomal abnormalities of 200 Chinese patients with non-Hodgkin's lymphoma in Taiwan : with special reference to T-cell lymphoma", Ann Oncol, 15, pp.1091~1096 (2004)
- Au WY, "Clinicopathologic features and treatment outcome of mature T-cell and natural killer-cell lymphomas diagnosed according to the World Health Organization classification scheme : a single center experience of 10 years", Ann Oncol, 16, pp.206~214 (2005)
- Takeuchi M, "The frequency of malignant lymphoma subtypes based on World Health Organization(WHO)classification", Nihon Rinsho, 72, pp.436~440 (2014)
- Federico M, "R-CVP versus R-CHOP versus R-FM for the initial treatment of patients with advanced-stage follicular lymphoma : results of the FOLL05 trial conducted by the Fondazione Italiana Linfomi", J Clin Oncol, 31, pp.1506~1513 (2013)
- Casulo C, "Disease characteristics, treatment patterns, and outcomes of follicular lymphoma in patients 40 years of age and younger : an analysis from the National Lymphocare Studydagger", Ann Oncol, 26, pp.2311~2317 (2015)
- Casulo C, "Early relapse of follicular lymphoma after rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone defines patients at high risk for death : an analysis from the National LymphoCare Study", J Clin Oncol, 33, pp.2516~2522 (2015)
- Solal-Celigny P, "Follicular lymphoma international prognostic index", Blood, 104, pp.1258~1265 (2004)
- Federico M, "Follicular lymphoma international prognostic index 2 : a new prognostic index for follicular lymphoma developed by the international follicular lymphoma prognostic factor project", J Clin Oncol, 27, pp.4555~4562 (2009)
- Cheson BD, "Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma : the Lugano classification", J Clin Oncol, 32, pp.3059~3068 (2014)
- Barrington SF, "Role of imaging in the staging and response assessment of lymphoma: consensus of the International Conference on Malignant Lymphomas Imaging Working Group", J Clin Oncol, 32, pp.3048~3058 (2014)
- Esfahani SA, "Baseline total lesion glycolysis measured with(18)F-FDG PET", CT as a predictor of progression-free survival in diffuse large B-cell lymphoma : a pilot study, 2013, pp.3, 272~281
- Meignan M, "Metabolic tumour volumes measured at staging in lymphoma : methodological evaluation on phantom experiments and patients", Eur J Nucl Med Mol Imaging, 41, pp.1113~1122 (2014)
- Sasanelli M, "Pretherapy metabolic tumour volume is an independent predictor of outcome in patients with diffuse large B-cell lymphoma", Eur J Nucl Med Mol Imaging, 41, pp.2017~2022 (2014)
- Cottereau AS, "Molecular profile and FDG-PET", CT total metabolic tumor volume improve risk classification at diagnosis for patients with diffuse large B-cell lymphoma, 2016, pp.22, 3801~3809
- Cottereau AS, "Baseline total metabolic tumor volume measured with fixed or different adaptive thresholding methods equally predicts outcome in peripheral T cell lymphoma", J Nucl Med, 58, pp.276~281 (2017)
- Cheson BD, "FDG-PET for early response assessment in lymphomas : part 1-Hodgkin lymphoma", Oncology(Williston Park), 31, pp.45~49 (2017)
- Cheson BD, "FDG-PET for early response assessment in lymphomas : part 2-diffuse large B-cell lymphoma, use of quantitative PET evaluation", Oncology(Williston Park), 31, pp.71~76 (2017)
- Meignan M, "Baseline metabolic tumor volume predicts outcome in high-tumor-burden follicular lymphoma : a pooled analysis of three multicenter studies", J Clin Oncol, 34, pp.3618~3626 (2016)
- Sabattini E, "WHO classification of tumours of haematopoietic and lymphoid tissues in 2008 : an overview", Pathologica, 102, pp.83~87 (2010)
- Tohda S, "Overview of lymphoid neoplasms in the fourth edition of the WHO classification", Rinsho Byori, 60, pp.560~564 (2012)
- Cheson BD, "Revised response criteria for malignant lymphoma", J Clin Oncol, 25, pp.579~586 (2007)
- Juweid ME, "Use of positron emission tomography for response assessment of lymphoma : consensus of the Imaging Subcommittee of International Harmonization Project in Lymphoma", J Clin Oncol, 25, pp.571~578 (2007)
- Heagerty PJ, "Time-dependent ROC curves for censored survival data and a diagnostic marker", Biometrics, 56, pp.337~344 (2000)
- DeLong ER, "Comparing the areas under two or more correlated receiver operating characteristic curves : a nonparametric approach", Biometrics, 44, pp.837~845 (1988)
- Kim CY, "Prognostic value of whole-body metabolic tumour volume and total lesion glycolysis measured on 18F-FDG PET", CT in patients with extranodal NK, Eur J Nucl Med Mol Imaging, pp.2013, 40[DOI]
- Ceriani L, "Utility of baseline 18FDG-PET", CT functional parameters in defining prognosis of primary mediastinal(thymic)large B-cell lymphoma, 2015, pp.126, 950~956
- Meignan M, "Quantitative FDG-PET : a new biomarker in PMBCL", Blood, 126, pp.924~926 (2015)
