胸部CT瘤周影像组学在非小细胞肺癌精准诊疗中的应用与挑战

影像组学通过提取医学图像中感兴趣区的定量图像特征,并与肿瘤的生物学特征与异质性进行关联,为个性化精准诊疗提供了关键信息和依据。肿瘤周边蕴含了丰富的微观生物学信息,胸部CT瘤周影像组学通过挖掘肿瘤周围组织的深层异质性信息,为非小细胞肺癌患者提供定量的非侵入性评估方法,展现其在未来临床应用的广阔前景。相信随着计算机、医疗大数据的飞速发展,未来多中心、高质量、大样本数据等工作的深入开展,有望实现影像组学研究的规范化、可重复,推动影像组学研究的临床转化和应用,为肺癌患者精准诊断、治疗和随访等方面奠定基础。

Application and challenges of chest CT peritumoral radiomics in the precision diagnosis and treatment of non-small cell lung cancer

By extracting quantitative radiomic features from regions of interest in medical images and correlating them with the biological features and heterogeneity of tumors, radiomics can provide critical information and a basis for personalized precision diagnosis and treatment. Peritumoral regions contain a wealth of microbiological information. Therefore, chest CT peritumoral radiomics, which can provide quantitative non-invasive assessment for patients with non-small cell lung cancer (NSCLC) by mining the deep heterogeneity of peritumoral regions, has broad prospects for future clinical applications. Given the rapid progress in computer and medical big data techniques, as well as the in-depth efforts in multi-center, high-quality, and large-sample data in the future, it is reasonably believed that radiomics research will be gradually normalized and reproducible. This is conducive to the translation and application of radiomics research to clinical practice, thus laying a foundation for personalized and accurate diagnosis, treatment, and follow-up for lung cancer patients.