| Abstrakt: |
A study conducted by researchers at Southern Medical University in Guangzhou, China, explored the use of CT radiomics combined with radiological features to predict the pathological grade of stage I invasive pulmonary adenocarcinoma (IPA). The study analyzed preoperative CT images and clinical information from 294 patients and divided them into low/intermediate-grade and high-grade groups based on the International Association for the Study of Lung Cancer (IASLC) grading system. The researchers developed three models, including a radiomics model, a clinical-radiological features model, and a combined model, which all performed well in predicting the pathological grade of early-stage IPA. This research suggests that CT radiomics combined with radiological features has the potential to distinguish the pathological grade of stage I pulmonary adenocarcinoma. [Extracted from the article] |
