A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules

被引：0
|
作者：
Minghui Zhu
Zhen Yang
Miaoyu Wang
Wei Zhao
Qiang Zhu
Wenjia Shi
Hang Yu
Zhixin Liang
Liangan Chen
机构：
[1] Chinese People’s Liberation Army Medical School,Department of Respiratory Medicine
[2] First Medical Center of Chinese People’s Liberation Army General Hospital,Department of Pulmonary and Critical Care Medicine
[3] Zhongnan Hospital of Wuhan University,undefined
来源：
Respiratory Research | / 23卷
关键词：
Radiomics; Computerized tomography; Lung adenocarcinoma; Ground-glass opacity nodules; Invasiveness;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [11] Clinical and radiomic factors for predicting invasiveness in pulmonary ground-glass opacity
    Dang, Yutao
    Wang, Ruotian
    Qian, Kun
    Lu, Jie
    Zhang, Yi
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2022, 24 (05)
  • [12] Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
    Yingli Sun
    Cheng Li
    Liang Jin
    Pan Gao
    Wei Zhao
    Weiling Ma
    Mingyu Tan
    Weilan Wu
    Shaofeng Duan
    Yuqing Shan
    Ming Li
    European Radiology, 2020, 30 : 3650 - 3659
  • [13] Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
    Sun, Yingli
    Li, Cheng
    Jin, Luang
    Gao, Pan
    Zhao, Wei
    Ma, Weiling
    Tan, Mingyu
    Wu, Weilan
    Duan, Shaofeng
    Shan, Yuqing
    Li, Ming
    EUROPEAN RADIOLOGY, 2020, 30 (07) : 3650 - 3659
  • [14] Radiomic-based quantitative CT analysis to predict the invasiveness of pure ground-glass lung adenocarcinoma
    Xv, F.
    Zhu, W.
    Hu, H.
    ANNALS OF ONCOLOGY, 2019, 30
  • [15] Invasiveness and surgical timing evaluation by clinical features of ground-glass opacity nodules in lung cancers
    Chen, Pai-Hsi
    Chang, Kuo-Ming
    Tseng, Wei-Chi
    Chen, Chien-Hung
    Chao, Jui-I
    THORACIC CANCER, 2019, 10 (11) : 2133 - 2141
  • [16] A predictive nomogram for EGFR mutation status in lung adenocarcinoma manifesting as ground-glass nodules
    Ping, Xiaoxia
    Meng, Qian
    Jiang, Nan
    Hu, Su
    JOURNAL OF THORACIC DISEASE, 2024, 16 (11) : 7477 - 7489
  • [17] Deep learning analysis to predict EGFR mutation status in lung adenocarcinoma manifesting as pure ground-glass opacity nodules on CT
    Yoon, Hyun Jung
    Choi, Jieun
    Kim, Eunjin
    Um, Sang-Won
    Kang, Noeul
    Kim, Wook
    Kim, Geena
    Park, Hyunjin
    Lee, Ho Yun
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [18] A Multi-Classification Model for Predicting the Invasiveness of Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodules
    Song, Fan
    Song, Lan
    Xing, Tongtong
    Feng, Youdan
    Song, Xiao
    Zhang, Peng
    Zhang, Tianyi
    Zhu, Zhenchen
    Song, Wei
    Zhang, Guanglei
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [19] Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma (vol 10, 872, 2020)
    Xu, Fangyi
    Zhu, Wenchao
    Shen, Yao
    Wang, Jian
    Xu, Rui
    Outesh, Chooah
    Song, Lijiang
    Gan, Yi
    Pu, Cailing
    Hu, Hongjie
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [20] Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?
    Wang, Xiang
    Chen, Kaili
    Wang, Wei
    Li, Qingchu
    Liu, Kai
    Li, Qianyun
    Cui, Xing
    Tu, Wenting
    Sun, Hongbiao
    Xu, Shaochun
    Zhang, Rongguo
    Xiao, Yi
    Fan, Li
    Liu, Shiyuan
    JOURNAL OF THORACIC DISEASE, 2021, 13 (03) : 1327 - +
12345