FDG-PET/CT predicts survival and lung metastasis of hypopharyngeal cancer in a multi-institutional retrospective study

Objectives We investigated a possible correlation between the maximum standardized uptake value (SUV max ), which is assessed by pretreatment 18 F-fluorodeoxyglucose positron emission tomography with computed tomography, and the overall survival (OS) in patients with hypopharyngeal squamous cell car...

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Bibliographic Details
Published in:Annals of nuclear medicine 2017-08, Vol.31 (7), p.514-520
Main Authors: Suzuki, Hidenori, Kato, Katsuhiko, Nishio, Masami, Tamaki, Tsuneo, Fujimoto, Yasushi, Hiramatsu, Mariko, Hanai, Nobuhiro, Kodaira, Takeshi, Itoh, Yoshiyuki, Naganawa, Shinji, Sone, Michihiko, Hasegawa, Yasuhisa
Format: Article
Language:English
Subjects:
Aged
Biological Transport
Computed tomography
Correlation analysis
Disease-Free Survival
Emission analysis
Female
Fluorodeoxyglucose F18 - metabolism
Hazard assessment
Humans
Hypopharyngeal Neoplasms - pathology
Imaging
Institutions
Lung cancer
Lung Neoplasms - diagnostic imaging
Lung Neoplasms - metabolism
Lung Neoplasms - secondary
Lung Neoplasms - therapy
Male
Medicine
Medicine & Public Health
Metastases
Metastasis
Nuclear Medicine
Original Article
Patients
Positron emission
Positron emission tomography
Positron Emission Tomography Computed Tomography
Radiology
Retrospective Studies
Squamous cell carcinoma
Survival
Throat cancer
Tomography
Treatment Outcome
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Summary:Objectives We investigated a possible correlation between the maximum standardized uptake value (SUV max ), which is assessed by pretreatment 18 F-fluorodeoxyglucose positron emission tomography with computed tomography, and the overall survival (OS) in patients with hypopharyngeal squamous cell carcinoma from two institutions on long-term follow-up, and examined whether SUV max is correlated with several survival outcomes, including lung metastasis-free survival. Methods A total of 81 patients were enrolled. The survival rate was calculated by the Kaplan–Meier method. Both univariate and multivariate survival analyses were assessed by a Cox proportional hazards model. Results SUV max ≥15.2 in institution A ( p  = 0.0306) or SUV max ≥8 in institution B ( p  = 0.0132) was significantly predictor of a lower OS. We disaggregated the data by high SUV max (SUV max ≥15.2 from institution A and SUV max ≥8 from institution B) and low SUV max (SUV max
ISSN:0914-7187
1864-6433
DOI:10.1007/s12149-017-1176-1