FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy

Lovinfosse, P., Jánváry, Z. L., Coucke, P. A., Jodogne, S., Bernard, C., Hatt, M., Visvikis, D., Jansen, N., Duysinx, B., Hustinx, R.: FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy.
Eur. J. Nucl. Med. Mol. Imaging. 43 (8), 1453-1460, 2016.

doi DEA WoS

Journal metrics:

D1 Medicine (miscellaneous)

D1 Radiology, Nuclear Medicine and Imaging

title:

FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy

authors:

Lovinfosse, Pierre
Jánváry Zsolt Levente
Coucke, Philippe A.
Jodogne, Sébastien
Bernard, Claire
Hatt, Mathieu
Visvikis, Dimitris
Jansen, Nicolas
Duysinx, Bernard
Hustinx, Roland

published:

2016

type:

article

genre:

research article/review article

journal:

European Journal Of Nuclear Medicine And Molecular Imaging (ISSN: 1619-7070)

language:

English

HAC:

Health Sciences, Clinical Medicine

subjects:

18F-FDG PET/CT, Non-small cell lung cancer, Stereotactic body radiation therapy, Textural analysis, Heterogeneity, Prognostic factor

abstract:

Introduction: With 18F-FDG PET/CT, tumor uptake intensityand heterogeneity have been associated with outcome in several cancers. This study aimed at investigating whether 18F-FDG uptake intensity, volume or heterogeneity could predict the outcome in patients with non-small cell lung cancers (NSCLC)treated by stereotactic body radiation therapy (SBRT).Methods: Sixty-three patients with NSCLC treated by SBRTunderwent a 18F-FDG PET/CT before treatment. Maximumand mean standard uptake value (SUVmax and SUVmean),metabolic tumoral volume (MTV), total lesion glycolysis(TLG), as well as 13 global, local and regional textural features were analysed. The predictive value of these parameters,along with clinical features, was assessed using univariate and multivariate analysis for overall survival (OS), disease specific survival (DSS) and disease-free survival (DFS). Cutoff values were obtained using logistic regression analysis,and survivals were compared using Kaplan-Meier analysis.Results: The median follow-up period was 27.1 months for theentire cohort and 32.1 months for the surviving patients. Atthe end of the study, 25 patients had local and/or distant recurrence including 12 who died because of the cancer progression.None of the clinical variables was predictive of the outcome,except age, which was associated with DFS (HR 1.1,P= 0.002). None of the 18F-FDG PET/CT or clinical parameters,except gender, were associated with OS. The univariate analysis showed that only dissimilarity (D) was associated with DSS (HR= 0.822, P=0.037), and that several metabolic measurements were associated with DFS. In multivariate analysis,only dissimilarity was significantly associated with DSS(HR= 0.822, P=0.037) and with DFS (HR= 0.834, P<0.01).Conclusion: The textural feature dissimilarity measured on the baseline 18F-FDG PET/CTappears to be a strong independent predictor of the outcome in patients with NSCLC treated by SBRT. This may help selecting patients who may benefit from closer monitoring and therapeutic optimization.