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Predictive value of pretreatment positron emission tomography/computed tomography in patients with newly diagnosed extranodal natural killer/T-cell lymphoma

Authors :
Xu Zhang
Tong Yu Lin
Ze Xiao Lin
Bing Bai
Qi Chun Cai
Qing Qing Cai
Wei Fan
Yan Gao
Wen Qi Jiang
Hui Qiang Huang
Xiao Xiao Wang
Ying Guo
Yun Fei Xia
Source :
Medical Oncology. 30
Publication Year :
2013
Publisher :
Springer Science and Business Media LLC, 2013.

Abstract

The role of (18)Fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) in extranodal natural killer/T-cell lymphoma (ENKL) is not well established. This study aimed to investigate the prognostic role of the pretreatment maximum standardized uptake value (SUV(max)) on PET/CT in patients with newly diagnosed ENKL. Among 364 consecutive patients with newly diagnosed ENKL, 81 patients were included and reviewed. The impact of SUV(max) on survival and the relationship between SUV(max) and other clinicopathological parameters were analyzed. The median SUV(max) was 14.6 (range 2.0-45.4). The optimal cutoff value of SUV(max) to predict overall survival (OS) was 15. Patients with high SUV(max) (SUVmax15) were associated with bulky disease (P0.001), local invasion (P = 0.030), high score of Korean Prognostic Index (KPI, P = 0.046), resistance to primary treatment (P = 0.014), poor OS (P0.001), and unfavorable progression-free survival (P0.001). With a median follow-up of 25.0 months, the median OS was 63.0 months (range 2.0-99.0 months). Multivariate analyses revealed the following independent prognostic factors for OS: age60 years (P = 0.001), stage III-IV (P = 0.023), SUV(max)15 (P = 0.020), and bulky disease (5 cm) (P = 0.002). By using the SUV(max), patients in most subgroups stratified by the KPI or the International Prognostic Index (IPI) were further discriminated in OS with significant statistical difference. Our results suggest the pretreatment SUV(max) is predictive of prognosis in patients with newly diagnosed ENKL. The SUV(max) may provide additional prognostic information for IPI and KPI.

Details

ISSN :
1559131X and 13570560
Volume :
30
Database :
OpenAIRE
Journal :
Medical Oncology
Accession number :
edsair.doi.dedup.....78be0638ff35fb86f18e9553eb1e6ed6
Full Text :
https://doi.org/10.1007/s12032-012-0339-0