Oncotarget

Research Papers:

Prognostic value of whole-body SUVmax of nodal and extra-nodal lesions detected by 18F-FDG PET/CT in extra-nodal NK/T-cell lymphoma

Jin-Hua Liang, Chong-Yang Ding, Robert Peter Gale, Li Wang, Ji Xu, Xiao-Yan Qu, Lei Fan, Tian-Lv Li, Jian-Yong Li _ and Wei Xu

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Oncotarget. 2017; 8:1737-1743. https://doi.org/10.18632/oncotarget.13873

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Abstract

Jin-Hua Liang1,*, Chong-Yang Ding2,*, Robert Peter Gale3, Li Wang1, Ji Xu1, Xiao-Yan Qu1, Lei Fan1, Tian-Lv Li2, Jian-Yong Li1,4, Wei Xu1

1Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China

2Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China

3Haematology Research Centre, Division of Experimental Medicine, Department of Medicine, Imperial College London, London, United Kingdom

4Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China

*These authors have contributed equally to this work

Correspondence to:

Jian-Yong Li, email: [email protected]

Wei Xu, email: [email protected]

Keywords: PET/CT, extranodal NK/T-cell lymphoma, prognosis, SUVmax

Received: June 13, 2016    Accepted: November 12, 2016    Published: December 10, 2016

ABSTRACT

We analyzed data from 54 newly-diagnosed persons with extra-nodal natural killer/T-cell (NK/T) lymphoma, who had a pretreatment 18F-FDG PET/CT study, to determine whether the sum of SUVmax of all the nodal and extra-nodal lesions predicted progression-free survival (PFS) and/or overall survival (OS). Three models (WB1SUVmax, WB2SUVmax, WB3SUVmax) based on the basis of the sum of SUVmax of the whole-body SUVmax of 11 nodal and 10 extra-nodal lesions were tested. The discrimination value of these models was evaluated using time-dependent receiver-operator characteristic (ROC) curves and corresponding areas under the curve (AUC) in training and validation cohorts. Findings were validated in an independent cohort of 15 subjects. ROC curve analysis showed the optimal cut-off values for WB1SUVmax, WB2SUVmax and WB3SUVmax were 15.8 (sensitivity 92%, specificity 67%, AUC 0.811; P<0.001), 12.7 (sensitivity 96%; specificity 57%; AUC 0.785; P<0.001) and 15.8 (sensitivity 88%; specificity 70%; AUC 0.793; P<0.001). Multivariate analyses indicated WB3SUVmax was independently associated with PFS (hazard ratio [HR]=3.67, 95% confidence interval [95% CI]=1.19, 11.29; P=0.023) and OS (HR= 4.51 [1.02, 19.91]; P=0.047). WB3SUVmax calculated based of the sum of the SUVmax of 3 nodal and 10 extra-nodal lesions was significantly associated with PFS and OS.


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