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Predicting EGFR mutation status in lung adenocarcinoma presenting as ground-glass opacity: utilizing radiomics model in clinical translation.

Bo ChengHongsheng DengYi ZhaoJunfeng XiongPeng LiangCaichen LiHengrui LiangJiang ShiJianfu LiShan XiongTing LaiZhuxing ChenJianrong WuTianyi QianWenjing HuanMan Tat Alexander NgJian-Xing HeWenhua Liang
Published in: European radiology (2022)
• We developed a GGO-specific radiomics model containing 102 radiomics features for EGFR mutation status differentiation. • An AUC of 0.822 and 0.803 in the internal and external validation cohorts, respectively, were achieved. • The radiomics model was utilized in clinical translation in an adjuvant EGFR-TKI treatment cohort with unresected GGOs. A significant improvement in the potency of EGFR-TKIs was achieved (response rate: 25.9% vs. 53.8%, p = 0.006; before and after prediction).
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