Recently, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences and Department of Radiology, Shanghai Pulmonary Hospital, Department of Radiology, People's Hospital of Guangdong Province, Department of Respiratory Medicine, West China Hospital of Sichuan University, and PET-CT Center of Tumor Hospital of Chinese Academy of Medical Sciences. Applied to the evaluation of targeted therapy for EGFR-mutant stage IV non-small cell lung cancer, an imaging meta-analysis model for assisting clinical decision-making was constructed. Experts pointed out that the use of this model can accurately classify patients' prognosis risk before treatment, and provide new basis for formulating a more reasonable clinical treatment plan. The relevant research results were published in Clinical Cancer Research. According to the latest guidelines from the National Comprehensive Cancer Network, targeted therapy with tyrosine kinase inhibitors (TKIs) is the preferred treatment for stage IV NSCLC with EGFR mutations. However, after first-line treatment with EGFR-TKI, about half of patients will develop resistance within 10 months, because the patient has mutations in resistant genes such as EGFR T790M. Therefore, it is important to distinguish between patients susceptible to drug resistance in advance for the choice of treatment plan. However, there is still a lack of effective methods and means for predicting the therapeutic effect of targeted TKI therapy. The research team conducted in-depth analysis of pre-treatment CT images of 314 patients with EGFR-mutant stage IV non-small cell lung cancer treated with TKI, and constructed a prognostic predictive model based on imaging histology, and divided the patients into progressively worsening prognosis. A good slow progression group and a rapid progression group deteriorated rapidly with a poor prognosis. The researchers found that the progression-free survival benefit of patients in the fast-moving group was 50% less than that in the slow-progressing group, indicating that the imaging group model can effectively predict the prognosis of patients with TKI-targeted therapy. At the same time, the investigators also compared the progression-free survival of the two groups of patients with 56 patients receiving chemotherapy and found that the slow progression group was superior to the chemotherapy group, while the fast progression group was not significantly different from the chemotherapy group.
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