Value of 18F–FDG PET/CT for predicting EGFR mutations and positive ALK expression in patients with non-small cell lung cancer: a retrospective analysis of 849 Chinese patients

Purpose 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–...

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Veröffentlicht in:European journal of nuclear medicine and molecular imaging 2018-05, Vol.45 (5), p.735-750
Hauptverfasser: Lv, Zhilei, Fan, Jinshuo, Xu, Juanjuan, Wu, Feng, Huang, Qi, Guo, Mengfei, Liao, Tingting, Liu, Shuqing, Lan, Xiaoli, Liao, Shanshan, Geng, Wei, Jin, Yang
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Sprache:eng
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Zusammenfassung:Purpose 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. Methods 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. Results 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  
ISSN:1619-7070
1619-7089
DOI:10.1007/s00259-017-3885-z