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Significance of 18F-FDG PET Parameters According to Histologic Subtype in the Treatment Outcome of Stage III Non–small-cell Lung Cancer Undergoing Definitive Concurrent Chemoradiotherapy

Authors :
Jin Chul Paeng
Hong Gyun Wu
Hak Jae Kim
Eunji Kim
Dong Wan Kim
Tae Min Kim
Ji Hyun Chang
Bhumsuk Keam
Source :
Clinical Lung Cancer. 20:e9-e23
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Purpose We analyzed positron emission tomography-computed tomography (PET-CT) in patients with stage III non–small-cell lung cancer (NSCLC) undergoing concurrent chemoradiotherapy (CRT) to examine the prognostic value of PET-CT parameters according to histologic subtypes (squamous cell carcinoma [SqCC] and adenocarcinoma [ADC]). Methods A total of 130 patients with stage III NSCLC who underwent definitive CRT were identified. We obtained PET-CT parameters such as maximum (SUVmax) and mean (SUVmean) standardized uptake value, total lesion glycolysis (TLG), metabolic tumor volume (MTV), and coefficient of variation (CV). Each parameter was bifurcated based on the optimal cutoff, and propensity score matching was performed between the SqCC and ADC groups. Results There were 108 patients with SqCC or ADC, and 44 patients each were allocated to the SqCC and ADC groups via propensity score matching. SUVmax, SUVmean, TLG, and MTV values were significantly higher in SqCC than in ADC (P = .004, P = .006, P = .003, and P = .03, respectively). In the SqCC group, PET-CT parameters were not associated with survival outcomes. However, in the ADC group, SUVmax and SUVmean were related to locoregional progression-free survival (P = .008 and P = .017, respectively), and TLG and MTV were related to overall survival (P = .044 and P Conclusions PET-CT provided different prognostic implications between SqCC and ADC in patients with locally advanced NSCLC receiving radical CRT. This suggests that it is necessary to consider the histologic subtype and PET-CT parameters concurrently when predicting survival outcomes.

Details

ISSN :
15257304
Volume :
20
Database :
OpenAIRE
Journal :
Clinical Lung Cancer
Accession number :
edsair.doi...........035a5d602ff589a36c28ac94c089188d