Application of radiomics information captured from PET/CT and CT to predict therapeutic effect of stereotactic ablative radiotherapy in stageⅠ non-small cell lung cancer / 中国癌症杂志

ABSTRACT

Background and purpose:Radiomics is an emerging field that generates large amounts of valuable clinical information through extracting quantitative imaging features. The purpose of this study was to use the radiomics approach to assess the value of features captured from PET and CT in predicting the therapeutic effect in stageⅠ non-small cell lung cancer (NSCLC) after stereotactic ablative radiotherapy (SABR).Methods:Patients with stageⅠ NSCLC conifrmed by pathology and treated with SABR were included retrospectively. The gross tumor volume (GTV) was deifned by two radiologists. PET and CT scan images were collected, and radiomic features were further extracted and analyzed. Non-negative matrix factorization was used to distinguish patients with or without local control.Results:Sixteen patients were eligible for analysis. This study identiifed two PET features (LL_GLCM_Maximal_Correlation_Coeffcient and HL_GLRMS_LRE) captured from PET/CT as having signiifcance in classifying patients with or without disease development. This study not ifnd similar results in CT scans.Conclusion:It seems feasible to use radiomics information effects from PET/CT to predict therapeutic effects of SABR in stageⅠ NSCLC. Further investigation is needed.