Visceral adipose tissue volume and CT-attenuation as prognostic factors in patients with head and neck cancer
- Abstract
- BACKGROUND: The aim of this study was to evaluate the relationship of the characteristics of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) to the disease progression-free survival and distant failure-free survival of head and neck squamous cell carcinoma (HNSCC). METHODS: We enrolled 152 HNSCC patients who underwent staging (18) F-fluorodeoxyglucose (FDG) positron emission tomography/CT (PET/CT). Maximum FDG uptake (standardized uptake value [SUV]) and total lesion glycolysis (TLG) of the primary tumor and volume, CT-attenuation (Hounsfield units [HU]), and FDG uptake of SAT and VAT were measured. Survival analysis using Cox proportional hazard modeling was performed to assess the relationship between the adipose tissue parameters of PET/CT and survival. RESULTS: Patients with low VAT volume and high VAT HU had significantly worse progression-free survival and distant failure-free survival than those with high VAT volume and low VAT HU. On multivariate analysis, the volume and HU of VAT were significantly correlated with disease progression-free survival and distant failure-free survival after adjusting for age, sex, body mass index, TNM stage, serum C-reactive protein, maximum SUV, and TLG. CONCLUSION: The volume and CT-attenuation of VAT were significantly correlated with disease progression-free survival and distant failure-free survival in patients with HNSCC.
- All Author(s)
- J. W. Lee
; M. J. Ban
; J. H. Park
; S. M. Lee
- Intsitutional Author(s)
- 반명진; 박재홍; 이상미
- Issued Date
- 2019
- Type
- Article
- Keyword
- adipose tissue; fluorodeoxyglucose F18; head and neck cancer; positron emissiontomography; prognosis
- Publisher
- John Wiley And Sons
- ISSN
- 1043-3074
; 1097-0347
- Citation Title
- Head & neck
- Citation Volume
- 41
- Citation Number
- 6
- Citation Start Page
- 1605
- Citation End Page
- 1614
- Language(ISO)
- eng
- DOI
- 10.1002/hed.25605
- URI
- http://schca-ir.schmc.ac.kr/handle/2022.oak/817
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