Advances of chest CT-based radiomics in the individualized diagnosis and treatment of non-small cell lung cancer
- VernacularTitle:基于胸部CT的影像组学技术在非小细胞肺癌个体化诊疗中应用的研究进展
- Author:
Ke ZHAO
1
;
Ke RAO
2
;
Shanqing LI
1
Author Information
1. Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, P. R. China
2. Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, P. R. China
- Publication Type:Journal Article
- Keywords:
Radiomics;
non-small cell lung cancer;
precision medicine;
adjuvant diagnosis;
individualized diagnosis and treatment;
review
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2022;29(06):782-787
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer is one of the leading causes of cancer deaths worldwide. Many options including surgery, radiotherapy, chemotherapy, targeted therapy and immunotherapy have been applied in the treatment for lung cancer patients. However, how to develop individualized treatment plans for patients and accurately determine the prognosis of patients is still a very difficult clinical problem. In recent years, radiomics, as an emerging method for medical image analysis, has gradually received the attention from researchers. It is based on the assumption that medical images contain a vast amount of biological information about patients that is difficult to identify with naked eyes but can be accessed by computer. One of the most common uses of radiomics is the diagnosis and treatment of non-small cell lung cancer (NSCLC). In this review, we reviewed the current researches on chest CT-based radiomics in the diagnosis and treatment of NSCLC and provided a brief summary of the current state of research in this field, covering various aspects of qualitative diagnosis, efficacy prediction, and prognostic analysis of lung cancer. We also briefly described the main current technical limitations of this technology with the aim of gaining a broader understanding of its potential role in the diagnosis and treatment of NSCLC and advancing its development as a tool for individualized management of NSCLC patients.
