CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses

被引：0
|
作者：
Dongdong Mei
Yan Luo
Yan Wang
Jingshan Gong
机构：
[1] the Second Clinical Medical College,Department of Radiology, Shenzhen People’s Hospital
[2] Jinan University,Department of Radiology and Biomedical Imaging
[3] University of California San Francisco,undefined
来源：
Cancer Imaging | / 18卷
关键词：
Lung adenocarcinoma; Computed tomography; Radiomics; Epidermal growth factor receptor;
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
  • [1] CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses
    Mei, Dongdong
    Luo, Yan
    Wang, Yan
    Gong, Jingshan
    CANCER IMAGING, 2018, 18
  • [2] TEXTURE ANALYSIS PREDICTING EGFR MUTATION AND RECURRENCE IN LUNG ADENOCARCINOMA
    Kang, Lae Hyung
    Kim, Tae Hwa
    Yoon, Seong Hoon
    Kim, Yun Seong
    Kim, Seong-Jang
    RESPIROLOGY, 2018, 23 : 168 - 169
  • [3] Predicting EGFR mutation subtypes in lung adenocarcinoma using 18F-FDG PET/CT radiomic features
    Liu, Qiufang
    Sun, Dazhen
    Li, Nan
    Kim, Jinman
    Feng, Dagan
    Huang, Gang
    Wang, Lisheng
    Song, Shaoli
    TRANSLATIONAL LUNG CANCER RESEARCH, 2020, 9 (03) : 549 - +
  • [4] EGFR Mutation Status and Subtypes Predicted by CT-Based 3D Radiomic Features in Lung Adenocarcinoma
    Chen, Quan
    Li, Yan
    Cheng, Qiguang
    Van Valkenburgh, Juno
    Sun, Xiaotian
    Zheng, Chuansheng
    Zhang, Ruiguang
    Yuan, Rong
    ONCOTARGETS AND THERAPY, 2022, 15 : 597 - 608
  • [5] Prediction of EGFR mutation status in lung adenocarcinoma based on 18F-FDG PET/CT radiomic features
    Tan, Jian-Ling
    Xia, Liang
    Sun, Su-Guang
    Zeng, Hui
    Lu, Di-Yu
    Cheng, Xiao-Jie
    AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 13 (05): : 230 - +
  • [6] CT texture features of lung adenocarcinoma with HER2 mutation
    Chen, Wufei
    Gao, Pan
    Lu, Fang
    Wang, Ernuo
    Liu, Haiquan
    Li, Ming
    BMC CANCER, 2025, 25 (01)
  • [7] Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
    Digumarthy, Subba R.
    Padole, Atul M.
    Lo Gullo, Roberto
    Sequist, Lecia V.
    Kalra, Mannudeep K.
    MEDICINE, 2019, 98 (01) : E13963
  • [8] Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas
    Liu, Ying
    Kim, Jongphil
    Balagurunathan, Yoganand
    Li, Qian
    Garcia, Alberto L.
    Stringfield, Olya
    Ye, Zhaoxiang
    Gillies, Robert J.
    CLINICAL LUNG CANCER, 2016, 17 (05) : 441 - 448
  • [9] Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates
    Sacconi, B.
    Anzidei, M.
    Leonardi, A.
    Boni, F.
    Saba, L.
    Scipione, R.
    Anile, M.
    Rengo, M.
    Longo, F.
    Bezzi, M.
    Venuta, F.
    Napoli, A.
    Laghi, A.
    Catalano, C.
    CLINICAL RADIOLOGY, 2017, 72 (06) : 443 - 450
  • [10] Contrast-Enhanced CT Parameters of Gastric Adenocarcinoma: Can Radiomic Features Be Surrogate Biomarkers for HER2 Over-Expression Status?
    Wang, Na
    Wang, Xinxin
    Li, Wenya
    Ye, Huajun
    Bai, Hongzhao
    Wu, Jiansheng
    Chen, Mengjun
    CANCER MANAGEMENT AND RESEARCH, 2020, 12 : 1211 - 1219
12345