Application value of quantitative CT combined with MR diffusion weighted imaging in predicting epidermal growth factor receptor mutations in lung cancer
ZHANG Min
YU Nan
WANG Bin
GUO Yanbing
YU Yong
DUAN Haifeng
DANG Shan
Abstract：Objective Quantitative CT and DWI were used to predict EGFR gene mutation status in lung adenocarcinoma,and to evaluate the diagnostic efficacy of the two methods.Methods Forty-seven patients with lung adenocarcinoma tested by EGFR gene were retrospectively collected,including 19 cases with EGFR mutation and 28 cases without mutation.All patients received CT and MR scans and biopsies before treatment.The quantitative analysis results of CT and ADC value were analyzed,and the parameters with statistical significance were analyzed by binary Logistic regression to screen the influencing factors for predicting EGFR mutation.ROC curve was drawn to evaluate the predictive performance.Results There was no significant dif-ference in gender and age between the two groups(P>0.05),but there was significant difference in tumor volume(P=0.020).There was good agreement between the two radiologists on ADC measurements(ICC=0.978).There was statistical difference in ADC values between EGFR mutation and wild group(P=0.045).Tumor volume and ADC value were independent risk factors for predicting EGFR gene mutation status in lung cancer.Tumor volume,ADC value and the combination of them had well sensitiv-ity and specificity in predicting EGFR mutation status,with AUC of 0.701,0.674 and 0.805,respectively.Conclusions Tu-mor volume and ADC value can be used to noninvasively predict EGFR gene mutation status in lung cancer,and the combination of the two can improve the predictive ability and provide imaging basis for clinical treatment strategy.
Keywords：Lung adenocarcinomaEpidermal growth factor receptorTomographyX-ray computerApparent diffusion co-efficient
Publication Date：2024-06-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 37-40 )