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 |
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Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
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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
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ISSN: | 1619-7070 1619-7089 |
DOI: | 10.1007/s00259-017-3885-z |