UNLABELLED: Early prediction of treatment response is of value in avoiding the unnecessary toxicity of ineffective treatment. The objective of this study was to prospectively evaluate the role of integrated (18)F-FDG PET/CT for the early identification of response to neoadjuvant erlotinib, an epidermal growth factor receptor tyrosine kinase inhibitor. METHODS: From October 2006 to March 2009, 23 patients with non-small cell lung cancer eligible for surgical resection were evaluated for this study. Patients received preoperative erlotinib (150 mg) once daily for 3 wk. (18)F-FDG PET/CT was performed before and at 1 wk after the administration of erlotinib. Changes in tumor (18)F-FDG uptake during treatment were measured by standardized uptake values and assessed prospectively according to the criteria of the European Organization for Research and Treatment of Cancer. Patients with a decrease in standardized uptake values of 25% or more after 1 wk were classified as "metabolic responders." The metabolic response was compared with the pathologic response, obtained by histopathologic examination of the resected specimen. RESULTS: Following the (18)F-FDG PET/CT criteria of the European Organization for Research and Treatment of Cancer, 6 patients (26%) had a partial response within 1 wk, 16 patients (70%) had stable disease, and 1 patient (4%) had progressive disease. The median percentage of necrosis in the early metabolic responder group was 70% (interquartile range, 30%-91%), and the median percentage of necrosis in the nonresponder group was 40% (interquartile range, 20%-50%; P = 0.09). The kappa-agreement between the metabolic and pathologic responders was 0.55 (P = 0.008). CONCLUSION: The results of this study suggest that early during the course of epidermal growth factor receptor tyrosine kinase inhibitor therapy, (18)F-FDG PET/CT can predict response to erlotinib treatment in patients with non-small cell lung cancer.
UNLABELLED: Early prediction of treatment response is of value in avoiding the unnecessary toxicity of ineffective treatment. The objective of this study was to prospectively evaluate the role of integrated (18)F-FDG PET/CT for the early identification of response to neoadjuvant erlotinib, an epidermal growth factor receptor tyrosine kinase inhibitor. METHODS: From October 2006 to March 2009, 23 patients with non-small cell lung cancer eligible for surgical resection were evaluated for this study. Patients received preoperative erlotinib (150 mg) once daily for 3 wk. (18)F-FDG PET/CT was performed before and at 1 wk after the administration of erlotinib. Changes in tumor (18)F-FDG uptake during treatment were measured by standardized uptake values and assessed prospectively according to the criteria of the European Organization for Research and Treatment of Cancer. Patients with a decrease in standardized uptake values of 25% or more after 1 wk were classified as "metabolic responders." The metabolic response was compared with the pathologic response, obtained by histopathologic examination of the resected specimen. RESULTS: Following the (18)F-FDG PET/CT criteria of the European Organization for Research and Treatment of Cancer, 6 patients (26%) had a partial response within 1 wk, 16 patients (70%) had stable disease, and 1 patient (4%) had progressive disease. The median percentage of necrosis in the early metabolic responder group was 70% (interquartile range, 30%-91%), and the median percentage of necrosis in the nonresponder group was 40% (interquartile range, 20%-50%; P = 0.09). The kappa-agreement between the metabolic and pathologic responders was 0.55 (P = 0.008). CONCLUSION: The results of this study suggest that early during the course of epidermal growth factor receptor tyrosine kinase inhibitor therapy, (18)F-FDG PET/CT can predict response to erlotinib treatment in patients with non-small cell lung cancer.
Authors: Farrokh Dehdashti; Perry W Grigsby; Robert J Myerson; Ilke Nalbantoglu; Changqing Ma; Barry A Siegel Journal: Mol Imaging Biol Date: 2013-02 Impact factor: 3.488
Authors: M Majem; J Hernández-Hernández; F Hernando-Trancho; N Rodríguez de Dios; A Sotoca; J C Trujillo-Reyes; I Vollmer; R Delgado-Bolton; M Provencio Journal: Clin Transl Oncol Date: 2019-06-06 Impact factor: 3.405
Authors: N Tomura; Y Ito; H Matsuoka; T Saginoya; S-I Numazawa; Y Mizuno; K Watanabe Journal: AJNR Am J Neuroradiol Date: 2012-12-28 Impact factor: 3.825
Authors: Joan Fledelius; Anne Winther-Larsen; Azza A Khalil; Karin Hjorthaug; Jørgen Frøkiær; Peter Meldgaard Journal: Am J Nucl Med Mol Imaging Date: 2018-02-05
Authors: G Schmid-Bindert; Thomas Henzler; T Q Chu; M Meyer; J W Nance; U J Schoepf; D J Dinter; P Apfaltrer; R Krissak; C Manegold; S O Schoenberg; C Fink Journal: Eur Radiol Date: 2011-08-07 Impact factor: 5.315
Authors: Matthias R Benz; Ken Herrmann; Franziska Walter; Edward B Garon; Karen L Reckamp; Robert Figlin; Michael E Phelps; Wolfgang A Weber; Johannes Czernin; Martin S Allen-Auerbach Journal: J Nucl Med Date: 2011-11 Impact factor: 10.057