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- Title
Predictive value of pretreatment positron emission tomography/computed tomography in patients with newly diagnosed extranodal natural killer/T-cell lymphoma.
- Authors
Bai, Bing; Huang, Hui-Qiang; Cai, Qi-Chun; Fan, Wei; Wang, Xiao-Xiao; Zhang, Xu; Lin, Ze-Xiao; Gao, Yan; Xia, Yun-Fei; Guo, Ying; Cai, Qing-Qing; Jiang, Wen-Qi; Lin, Tong-Yu
- Abstract
The role of 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) 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 on survival and the relationship between SUV and other clinicopathological parameters were analyzed. The median SUV was 14.6 (range 2.0-45.4). The optimal cutoff value of SUV to predict overall survival (OS) was 15. Patients with high SUV (SUVmax >15) were associated with bulky disease ( P < 0.001), local invasion ( P = 0.030), high score of Korean Prognostic Index (KPI, P = 0.046), resistance to primary treatment ( P = 0.014), poor OS ( P < 0.001), and unfavorable progression-free survival ( P < 0.001). 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: age >60 years ( P = 0.001), stage III-IV ( P = 0.023), SUV >15 ( P = 0.020), and bulky disease (>5 cm) ( P = 0.002). By using the SUV, 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 is predictive of prognosis in patients with newly diagnosed ENKL. The SUV may provide additional prognostic information for IPI and KPI.
- Subjects
KILLER cells; T-cell lymphoma; POSITRON emission tomography; DIAGNOSTIC imaging; TOMOGRAPHY
- Publication
Medical Oncology, 2013, Vol 30, Issue 1, p1
- ISSN
1357-0560
- Publication type
Article
- DOI
10.1007/s12032-012-0339-0