Current progress and quality of radiomic studies for predicting EGFR mutation in patients with non-small cell lung cancer using PET/CT images: a systematic review

2021 ◽  
pp. 20201272
Author(s):  
Meilinuer Abdurixiti ◽  
Mayila Nijiati ◽  
Rongfang Shen ◽  
Qiu Ya ◽  
Naibijiang Abuduxiku ◽  
...  

Objectives: To assess the methodological quality of radiomic studies based on positron emission tomography/computed tomography (PET/CT) images predicting epidermal growth factor receptor (EGFR) mutation status in patients with non-small cell lung cancer (NSCLC). Methods: We systematically searched for eligible studies in the PubMed and Web of Science datasets using the terms “radiomics”, “PET/CT”, “NSCLC”, and “EGFR”. The included studies were screened by two reviewers independently. The quality of the radiomic workflow of studies was assessed using the Radiomics Quality Score (RQS). Interclass correlation coefficient (ICC) was used to determine inter rater agreement for the RQS. An overview of the methodologies used in steps of the radiomics workflow and current results are presented. Results: Six studies were included with sample sizes of 973 ranging from 115 to 248 patients. Methodologies in the radiomic workflow varied greatly. The first-order statistics were the most reproducible features. The RQS scores varied from 13.9 to 47.2%. All studies were scored below 50% due to defects on multiple segmentations, phantom study on all scanners, imaging at multiple time points, cut-off analyses, calibration statistics, prospective study, potential clinical utility, and cost-effectiveness analysis. The ICC results for majority of RQS items were excellent. The ICC for summed RQS was 0.986 [95% confidence interval (CI): 0.898–0.998]. Conclusions: : The PET/CT based radiomics signature could serve as a diagnostic indicator of EGFR mutation status in NSCLC patients. However, the current conclusions should be interpreted with care due to the suboptimal quality of the studies. Consensus for standardization of PET/CT based radiomic workflow for EGFR mutation status in NSCLC patients is warranted to further improve research. Advances in knowledge: Radiomics can offer clinicians better insight into the prediction of EGFR mutation status in NSCLC patients, whereas the quality of relative studies should be improved before application to the clinical setting.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 18162-18162
Author(s):  
Y. Fujiwara ◽  
K. Kiura ◽  
S. Toyooka ◽  
K. Hotta ◽  
M. Tabata ◽  
...  

18162 Background: The Factors affecting survival after gefitinib treatment in patients with non-small cell lung cancer (NSCLC) remain to be fully elucidated, although epidermal growth factor receptor (EGFR) mutation is a substantial prognostic factor. KL-6 has been studied as a useful indicator for interstitial lung diseases, however, it was first discovered as a pulmonary adenocarcinoma-related antigen. The aim of this study was to investigate the prognostic value of the serum KL-6 levels in advanced NSCLC patients treated with gefitinib and thus determine its association with the EGFR mutation status. Methods: Between September 2002 and September 2005, 41 patients with NSCLC were treated with gefitinib after having their serum KL-6 levels measured at Okayama University Hospital. EGFR mutations were analyzed by direct sequence methods. Results: The serum KL-6 levels ranged from 199 to 9080 U/ml (median, 550 U/ml), and 54% of 41 patients showed a level higher than the cut-off level of 500 U/ml. The median progression-free survival (PFS) time and the median overall survival (OS) time were 4.7 months and 13.9 months, respectively. Multivariate analyses revealed that the elevated KL-6 level was an independent adverse prognostic factor for PFS (hazard ratio: 2.278, p = 0.040) as well as OS (hazard ratio: 4.858, p = 0.002) in NSCLC patients treated with gefitinib. The EGFR mutation status was analyzed in 22 patients (54%). Among those with wild-type EGFR, the patients with high serum KL-6 levels also had a worse survival than those within normal serum KL-6 levels (6.5 months versus 13.3 months, p = 0.0194). Conclusions: Our data suggest that NSCLC patients with high serum KL-6 levels tended to have a poor clinical outcome when treated with gefitinib. No significant financial relationships to disclose.



2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13120-e13120
Author(s):  
Khoa Trong Mai ◽  
Cam Phuong Pham ◽  
LUNG TIEN Nguyen ◽  
Quynh Thi Thuy Vo ◽  
Nguyen TUAN Anh ◽  
...  

e13120 Background: To determine the epidermal growth factor receptor ( EGFR) mutation status in non-small cell lung cancer (NSCLC) patients in Vietnamese population at Bach Mai Hospital, and relation of different variables to the frequency of EGFR mutations. Methods: The EGFR mutation status of 1451 tissue samples in NSCLC patients and correlation among different variables of age, gender, smoking habit and histology groups were evaluated. Results: A total of EGFR mutation analysis was performed, with an overall mutation rate of 40.7%. The most prevalent categories were in-frame deletions in exon 19 (57.2% of the overall mutations); followed by L858R and L861Q in exon 21 (35.7%); exon 18 (4,6%); double mutation: 2.9%; The T790M mutation in exon 20 represented approximately 2.5%; The pooled prevalence of EGFR mutation was higher in female (60.6%), non-smokers (61.1%), and patients with adenocarcinoma (42.2%). Conclusions: The prevalence of EGFR mutations of NSCLC in Vietnam is higher than that in the West, but comparably equal to that in some Asian countries. It is associated with female sex, non-smoker status, and adenocarcinoma, sample tissue type and age, but not depends on disease stage and tumor sampling.



2018 ◽  
Vol 10 (7) ◽  
pp. 4169-4177 ◽  
Author(s):  
Shirong Zhang ◽  
Lucheng Zhu ◽  
Xueqin Chen ◽  
Xiaochen Zhang ◽  
Enguo Chen ◽  
...  


2011 ◽  
Vol 47 ◽  
pp. S280
Author(s):  
K. Kunimasa ◽  
N. Katakami ◽  
K. Masago ◽  
H. Yoshioka ◽  
K. Tomii ◽  
...  


2018 ◽  
Vol 10 (2) ◽  
pp. 723-731 ◽  
Author(s):  
Jincui Gu ◽  
Siqi Xu ◽  
Lixia Huang ◽  
Shaoli Li ◽  
Jian Wu ◽  
...  


2020 ◽  
Vol 10 ◽  
Author(s):  
Min Zhang ◽  
Yiming Bao ◽  
Weiwei Rui ◽  
Chengfang Shangguan ◽  
Jiajun Liu ◽  
...  




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