European Journal of Nuclear Medicine and Molecular Imaging · 2017 · 102 citations · 58 references
MedicineMolecular MedicineOncologyMolecular OncologyNeoplasiaOncogenesCancer Molecular DiagnosticsCancer Molecular PathologyLung CancerLung MetastasisMalignant NeoplasmsThoracic Oncology ImagingAlk Rearrangement TestingDistant Metastasis DetectionDistant Nodal MetastasisEgfr Mutation TestingGenetic TestingNon-small Cell Lung Cancer ImagingNon-small Cell Lung Cancer TherapyPrimary Tumor Assessment
Epidermal growth factor receptor (EGFR) mutations and the anaplastic lymphoma kinase (ALK) rearrangement are the two most common druggable targets in non-small cell lung cancer (NSCLC). However, genetic testing is sometimes unavailable. Previous studies regarding the predictive role of 18 F–FDG PET/CT for EGFR mutations in NSCLC patients are conflicting. We investigated whether or not 18 F–FDG PET could be a valuable noninvasive method to predict EGFR mutations and ALK positivity in NSCLC using the largest patient cohort to date. We retrospectively reviewed and included 849 NSCLC patients who were tested for EGFR mutations or ALK status and subjected to 18 F–FDG PET/CT prior to treatment. The differences in several clinical characteristics and three parameters based on 18 F–FDG PET/CT, including the maximal standard uptake value (SUV max ) of the primary tumor (pSUV max ), lymph node (nSUV max ) and distant metastasis (mSUV max ), between the different subgroups were analyzed. Multivariate logistic regression analysis was performed to identify predictors of EGFR mutations and ALK positivity. EGFR mutations were identified in 371 patients (45.9%). EGFR mutations were found more frequently in females, non-smokers, adenocarcinomas and stage I disease. Low pSUV max , nSUV max and mSUV max were significantly associated with EGFR mutations. Multivariate analysis demonstrated that pSUV max < 7.0, female sex, non-smoker status and adenocarcinoma were predictors of EGFR mutations. The receiver operating characteristic (ROC) curve yielded area under the curve (AUC) values of 0.557 and 0.697 for low pSUV max alone and the combination of the four factors, respectively. ALK-positive patients tended to have a high nSUV max . Younger age and distant metastasis were the only two independent predictors of ALK positivity. We demonstrated that low pSUVmax is associated with mutant EGFR status and could be integrated with other clinical factors to enhance the discriminability on the EGFR mutation status in some NSCLC patients whose EGFR testing is unavailable.
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