Literature DB >> 19371962

18F-FDG uptake and EGFR mutations in patients with non-small cell lung cancer: a single-institution retrospective analysis.

Im Il Na1, Byung Hyun Byun, Kyeong Min Kim, Gi Jeong Cheon, Du Hwan Choe, Jae Soo Koh, Duck Yong Lee, Baek-Yeol Ryoo, Heejong Baek, Sang Moo Lim, Sung Hyun Yang, Cheol Hyeon Kim, Jae Cheol Lee.   

Abstract

This retrospective study was performed to evaluate a possible association between the presence of epidermal growth factor receptor (EGFR) mutations and the standardized uptake value (SUV) of (18)F-fluoro-2-deoxy-glucose ((18)F-FDG) uptake in patients with non-small cell lung cancer (NSCLC). We included 100 patients who were tested for EGFR mutations by direct sequencing of resected tissues and who underwent preoperative positron emission tomography/computed tomography at the time of diagnosis. The maximum SUV by the primary tumor was chosen for further analysis. EGFR mutations in exons 19 and 21 were detected in 21 NSCLC patients (21%). EGFR mutations were more frequent in never-smokers than ever-smokers (35% versus 11%; P=0.003), in adenocarcinomas than non-adenocarcinomas (34% versus 6%; P=0.001), and in females than males (41% versus 12%; P=0.001). The SUV ranged from 1.3 to 33.0 (median 10.6). Area under receiver operating characteristic curve for SUVs in respect to the presence of EGFR mutations was 0.74 (95% CI: 0.62-0.85). When a cut off value was used, patients with low SUVs were more likely to have EGFR mutations than those with high SUVs (40% versus 11%; P=0.001). On multivariate analysis, a low SUV remained a significant predictors for EGFR mutations (P=0.025). (18)F-FDG uptake was associated with the presence of EGFR mutation. These results extrapolate that (18)F-FDG uptake might be helpful to discriminate patients who harbor EGFR mutations, especially when a genetic test is not feasible.

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Year:  2010        PMID: 19371962     DOI: 10.1016/j.lungcan.2009.03.010

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  32 in total

1.  Value of ¹⁸F-FDG uptake on PET/CT and CEA level to predict epidermal growth factor receptor mutations in pulmonary adenocarcinoma.

Authors:  Kai-Hsiung Ko; Hsian-He Hsu; Tsai-Wang Huang; Hong-Wei Gao; Daniel H Y Shen; Wei-Chou Chang; Yi-Chih Hsu; Tsun-Hou Chang; Chi-Ming Chu; Ching-Liang Ho; Hung Chang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-23       Impact factor: 9.236

2.  18F-FDG uptake for prediction EGFR mutation status in non-small cell lung cancer.

Authors:  Jian Guan; Nan J Xiao; Min Chen; Wen L Zhou; Yao W Zhang; Shuang Wang; Yong M Dai; Lu Li; Yue Zhang; Qin Y Li; Xiang Z Li; Mi Yang; Hu B Wu; Long H Chen; Lai Y Liu
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

3.  Correlation between (18)f-fluorodeoxyglucose uptake and epidermal growth factor receptor mutations in advanced lung cancer.

Authors:  Yun-Jung Choi; Byoung Chul Cho; Yong Hyu Jeong; Hyo Jung Seo; Hyun Jeong Kim; Arthur Cho; Jae Hoon Lee; Mijin Yun; Tae Joo Jeon; Jong Doo Lee; Won Jun Kang
Journal:  Nucl Med Mol Imaging       Date:  2012-06-07

4.  Predictive models for patients with lung carcinomas to identify EGFR mutation status via an artificial neural network based on multiple clinical information.

Authors:  Xiaoyi Qin; Hailong Wang; Xiang Hu; Xiaolong Gu; Wei Zhou
Journal:  J Cancer Res Clin Oncol       Date:  2019-12-05       Impact factor: 4.553

5.  PET Imaging-Based Phenotyping as a Predictive Biomarker of Response to Tyrosine Kinase Inhibitor Therapy in Non-small Cell Lung Cancer: Are We There Yet?

Authors:  Victor H Gerbaudo; Chun K Kim
Journal:  Nucl Med Mol Imaging       Date:  2016-10-11

6.  Role of [¹⁸F]FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer.

Authors:  Carlos Caicedo; Maria Jose Garcia-Velloso; Maria Dolores Lozano; Tania Labiano; Carmen Vigil Diaz; Jose Maria Lopez-Picazo; Alfonso Gurpide; Javier J Zulueta; Javier Zulueta; Jose Angel Richter Echevarria; Jose Luis Perez Gracia
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-07-03       Impact factor: 9.236

7.  FDG PET/CT metabolic tumor volume and total lesion glycolysis predict prognosis in patients with advanced lung adenocarcinoma.

Authors:  Hyun Woo Chung; Kye Young Lee; Hee Joung Kim; Wan Seop Kim; Young So
Journal:  J Cancer Res Clin Oncol       Date:  2013-11-06       Impact factor: 4.553

8.  Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.

Authors:  Stephen S F Yip; John Kim; Thibaud P Coroller; Chintan Parmar; Emmanuel Rios Velazquez; Elizabeth Huynh; Raymond H Mak; Hugo J W L Aerts
Journal:  J Nucl Med       Date:  2016-09-29       Impact factor: 10.057

9.  (18)F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational status.

Authors:  Pierre Lovinfosse; Benjamin Koopmansch; Frederic Lambert; Sébastien Jodogne; Gaelle Kustermans; Mathieu Hatt; Dimitris Visvikis; Laurence Seidel; Marc Polus; Adelin Albert; Philippe Delvenne; Roland Hustinx
Journal:  Br J Radiol       Date:  2016-05-05       Impact factor: 3.039

10.  EGFR mutation incidence in non-small-cell lung cancer of adenocarcinoma histology: a systematic review and global map by ethnicity (mutMapII).

Authors:  Anita Midha; Simon Dearden; Rose McCormack
Journal:  Am J Cancer Res       Date:  2015-08-15       Impact factor: 6.166

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