@article {Usmanij1528, author = {Edwin A. Usmanij and Lioe-Fee de Geus-Oei and Esther G.C. Troost and Liesbeth Peters-Bax and Erik H.F.M. van der Heijden and Johannes H.A.M. Kaanders and Wim J.G. Oyen and Olga C.J. Schuurbiers and Johan Bussink}, title = {18F-FDG PET Early Response Evaluation of Locally Advanced Non{\textendash}Small Cell Lung Cancer Treated with Concomitant Chemoradiotherapy}, volume = {54}, number = {9}, pages = {1528--1534}, year = {2013}, doi = {10.2967/jnumed.112.116921}, publisher = {Society of Nuclear Medicine}, abstract = {The potential of 18F-FDG PET changes was evaluated for prediction of response to concomitant chemoradiotherapy in patients with locally advanced non{\textendash}small cell lung cancer (NSCLC). Methods: For 28 patients, 18F-FDG PET was performed before treatment, at the end of the second week of treatment, and at 2 wk and 3 mo after the completion of treatment. Standardized uptake value (SUV), maximum SUV, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were obtained. Early metabolic changes were defined as fractional change (ΔTLG) when 18F-FDG PET at the end of the second week was compared with pretreatment 18F-FDG PET. In-treatment metabolic changes, as measured by serial 18F-FDG PET, were correlated with standard criteria of response evaluation of solid tumors by means of CT imaging (Response Evaluation Criteria In Solid Tumors 1.1). Parameters were analyzed for stratification in progression-free survival (PFS). Results: When compared with early metabolic nonresponders, a ΔTLG decrease of 38\% or more was associated with a significantly longer PFS (1-y PFS 80\% vs. 36\%, P = 0.02). Pretreatment TLG was found to be a prognostic factor for PFS. Conclusion: The degree of change in TLG was predictive for response to concomitant chemoradiotherapy as early as the end of the second week into treatment for patients with locally advanced NSCLC. Pretreatment TLG was prognostic for PFS.}, issn = {0161-5505}, URL = {https://jnm.snmjournals.org/content/54/9/1528}, eprint = {https://jnm.snmjournals.org/content/54/9/1528.full.pdf}, journal = {Journal of Nuclear Medicine} }