Research Progress on CT Imaging Features for Predicting Invasiveness of Ground-Glass Nodules in Lung Adenocarcinoma
10.3969/j.issn.1005-5185.2024.11.018
- VernacularTitle:磨玻璃结节肺腺癌侵袭性预测的CT征象研究进展
- Author:
Jinwei ZHANG
1
;
Tao GU
;
Min CHEN
Author Information
1. 北京医院放射科 国家老年医学中心 中国医学科学院老年医学研究院,北京 100730;中国医学科学院北京协和医学院研究生院,北京 100730
- Keywords:
Ground glass nodules;
Lung Adenocarcinoma;
Tomography,X-ray computed;
Radiomics;
Artificial intelligence;
Invasiveness;
Review
- From:
Chinese Journal of Medical Imaging
2024;32(11):1191-1194,1200
- CountryChina
- Language:Chinese
-
Abstract:
In recent years,with the widespread application of chest CT screening,ground-glass nodules have been more and more detected.Whether ground-glass nodules are invasive corresponds to different treatment plans.Therefore,preoperative prediction of ground-glass nodules invasiveness is of great clinical significance.High resolution CT,CT radiomics,deep learning,neural network and other machine learning methods achieved good effect on predicting the ground-glass nodules invasiveness in lung adenocarcinoma.This article reviews the research progress on predicting the invasiveness of ground-glass nodules from the aspects of CT scanning technology,imaging characteristics,radiomics and artificial intelligence.
