Primary tumour standardised uptake value is prognostic in nonsmall cell lung cancer: a multivariate pooled analysis of individual data.

Journal Article (Journal Article)

(18)F-fluoro-2-deoxy-d-glucose positron emission tomography (PET) complements conventional imaging for diagnosing and staging lung cancer. Two literature-based meta-analyses suggest that maximum standardised uptake value (SUVmax) on PET has univariate prognostic value in nonsmall cell lung cancer (NSCLC). We analysed individual data pooled from 12 studies to assess the independent prognostic value of binary SUVmax for overall survival.After searching the published literature and identifying unpublished data, study coordinators were contacted and requested to provide data on individual patients. Cox regression models stratified for study were used.Data were collected for 1526 patients (median age 64 years, 60% male, 34% squamous cell carcinoma, 47% adenocarcinoma, 58% stage I-II). The combined univariate hazard ratio for SUVmax was 1.43 (95% CI 1.22-1.66) and nearly identical if the SUV threshold was calculated stratifying for histology. Multivariate analysis of patients with stage I-III disease identified age, stage, tumour size and receipt of surgery as independent prognostic factors; adding SUV (HR 1.58, 95% CI 1.27-1.96) improved the model significantly. The only detected interaction was between SUV and stage IV disease.SUV seems to have independent prognostic value in stage I-III NSCLC, for squamous cell carcinoma and for adenocarcinoma.

Full Text

Duke Authors

Cited Authors

  • Paesmans, M; Garcia, C; Wong, C-YO; Patz, EF; Komaki, R; Eschmann, S; Govindan, R; Vansteenkiste, J; Meert, A-P; de Jong, WK; Altorki, NK; Higashi, K; Van Baardwijk, A; Borst, GR; Ameye, L; Lafitte, J-J; Berghmans, T; Flamen, P; Rami-Porta, R; Sculier, J-P

Published Date

  • December 2015

Published In

Volume / Issue

  • 46 / 6

Start / End Page

  • 1751 - 1761

PubMed ID

  • 26405289

Electronic International Standard Serial Number (EISSN)

  • 1399-3003

Digital Object Identifier (DOI)

  • 10.1183/13993003.00099-2015


  • eng

Conference Location

  • England