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Radiation Oncology
Published in: Radiation Oncology 1/2015

Open Access 01-12-2015 | Research

Pretreatment 18 F-FDG uptake heterogeneity can predict survival in patients with locally advanced nasopharyngeal carcinoma——a retrospective study

Authors: Zhongyi Yang, Qi Shi, Yongping Zhang, Herong Pan, Zhifeng Yao, Silong Hu, Wei Shi, Beiling Zhu, Yingjian Zhang, Chaosu Hu

Published in: Radiation Oncology | Issue 1/2015

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Abstract

Background

Intratumoural heterogeneity has been demonstrated to be a strong indicator of malignant transformation. Our study was to investigate pretreatment 18 F-FDG parameters, including 18 F-FDG based heterogeneity for predicting survival in patients with locally advanced nasopharyngeal carcinoma (NPC).

Methods

Forty newly diagnosed, biopsy-proven locally advanced NPC patients who underwent 18 F-FDG PET/CT were retrospectively included. The following PET parameters were assessed: maximum and mean standardised uptake value (SUVmax and SUVmean), metabolic tumour volume (MTV), total lesion glycolysis (TLG) and intratumoral heterogeneity index (HI). The previous parameters were recorded both for the primary tumor (-T) and neck lymph nodes (-N). The following endpoints were evaluated: local control (LC), progression-free survival (PFS) and overall survival (OS). The survival analyses were performed using the Kaplan–Meier method. Univariate analysis was performed using the log-rank test.

Results

Patients with a lower HI-T, SUVmax-T, SUVmean-T and TLG-T had significantly better 2-year LC. In predicting PFS, we found that both lower HI-T and HI-N had significantly better prognosis. However, the OS was only statistically associated with HI-T.

Conclusion

18 F-FDG based heterogeneity appears to be an potential predicator of patient survival after treatment.
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Metadata
Title
Pretreatment 18 F-FDG uptake heterogeneity can predict survival in patients with locally advanced nasopharyngeal carcinoma——a retrospective study
Authors
Zhongyi Yang
Qi Shi
Yongping Zhang
Herong Pan
Zhifeng Yao
Silong Hu
Wei Shi
Beiling Zhu
Yingjian Zhang
Chaosu Hu
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2015
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/s13014-014-0268-5

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