The Predictive Value of Early In-Treatment <sup>18</sup>F-FDG PET/CT Response to Chemotherapy in Combination with Bevacizumab in Advanced Nonsquamous Non-Small Cell Lung Cancer.
van der Drift, MA
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<sup>18</sup>F-FDG PET/CT is potentially applicable to predict response to chemotherapy in combination with bevacizumab in patients with advanced non-small cell lung cancer (NSCLC). <b>Methods:</b> In 25 patients with advanced nonsquamous NSCLC, <sup>18</sup>F-FDG PET/CT was performed before treatment and after 2 wk, at the end of the second week of first cycle carboplatin-paclitaxel and bevacizumab (CPB) treatment. Patients received up to a total of 4 cycles of CPB treatment. Maintenance treatment with bevacizumab monotherapy was continued until progressive disease without significant treatment-related toxicities of first-line treatment. In the case of progressive disease, bevacizumab was combined with erlotinib. SUV corrected for lean body mass (SUL and SUL<sub>peak</sub>) were obtained. PERCIST were used for response evaluation. These semiquantitative parameters were correlated with progression-free survival and overall survival (OS). <b>Results:</b> Metabolic response, defined by a significant reduction in SUL<sub>peak</sub> of 30% or more after 2 wk of CPB, was predictive of progression-free survival and OS. For partial metabolic responders (<i>n</i> = 19), the median OS was 22.8 mo. One-year and 2-y OS were 79% and 47%, respectively. Nonmetabolic responders (<i>n</i> = 6) (stable metabolic disease or progressive disease) showed a median OS of 4.4 mo (1-y and 2-y OS was 33% and 0%, respectively) (<i>P <</i> 0.001). <b>Conclusion:</b><sup>18</sup>F-FDG PET/CT after 1 treatment cycle is predictive of outcome to first-line chemotherapy with bevacizumab in patients with advanced nonsquamous NSCLC. This enables identification of patients at risk of treatment failure, permitting treatment alternatives such as early switch to a different therapy.
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Carcinoma, Non-Small-Cell Lung
Predictive Value of Tests
Aged, 80 and over
Positron Emission Tomography Computed Tomography
Translational Molecular Imaging
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Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2017, 58 (8), pp. 1243 - 1248