204 related articles for article (PubMed ID: 30059241)
1. Identifying epidermal growth factor receptor mutation status in patients with lung adenocarcinoma by three-dimensional convolutional neural networks.
Xiong JF; Jia TY; Li XY; Yu W; Xu ZY; Cai XW; Fu L; Zhang J; Qin BJ; Fu XL; Zhao J
Br J Radiol; 2018 Dec; 91(1092):20180334. PubMed ID: 30059241
[TBL] [Abstract][Full Text] [Related]
2. Identifying EGFR mutations in lung adenocarcinoma by noninvasive imaging using radiomics features and random forest modeling.
Jia TY; Xiong JF; Li XY; Yu W; Xu ZY; Cai XW; Ma JC; Ren YC; Larsson R; Zhang J; Zhao J; Fu XL
Eur Radiol; 2019 Sep; 29(9):4742-4750. PubMed ID: 30778717
[TBL] [Abstract][Full Text] [Related]
3. Computed Tomography-Based Radiomics Signature: A Potential Indicator of Epidermal Growth Factor Receptor Mutation in Pulmonary Adenocarcinoma Appearing as a Subsolid Nodule.
Yang X; Dong X; Wang J; Li W; Gu Z; Gao D; Zhong N; Guan Y
Oncologist; 2019 Nov; 24(11):e1156-e1164. PubMed ID: 30936378
[TBL] [Abstract][Full Text] [Related]
4. Computed tomography and clinical features associated with epidermal growth factor receptor mutation status in stage I/II lung adenocarcinoma.
Zou J; Lv T; Zhu S; Lu Z; Shen Q; Xia L; Wu J; Song Y; Liu H
Thorac Cancer; 2017 May; 8(3):260-270. PubMed ID: 28383802
[TBL] [Abstract][Full Text] [Related]
5. Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma.
Cao Y; Xu H; Liao M; Qu Y; Xu L; Zhu D; Wang B; Tian S
Int J Clin Oncol; 2018 Apr; 23(2):249-257. PubMed ID: 28988295
[TBL] [Abstract][Full Text] [Related]
6. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
[TBL] [Abstract][Full Text] [Related]
7. Clinicoradiological features associated with epidermal growth factor receptor exon 19 and 21 mutation in lung adenocarcinoma.
Zhao FN; Zhao YQ; Han LZ; Xie YS; Liu Y; Ye ZX
Clin Radiol; 2019 Jan; 74(1):80.e7-80.e17. PubMed ID: 30591175
[TBL] [Abstract][Full Text] [Related]
8. Transfer learning-based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma.
Shao X; Ge X; Gao J; Niu R; Shi Y; Shao X; Jiang Z; Li R; Wang Y
BMC Med Imaging; 2024 Mar; 24(1):54. PubMed ID: 38438844
[TBL] [Abstract][Full Text] [Related]
9. CT imaging-based histogram features for prediction of EGFR mutation status of bone metastases in patients with primary lung adenocarcinoma.
Shen TX; Liu L; Li WH; Fu P; Xu K; Jiang YQ; Pan F; Guo Y; Zhang MC
Cancer Imaging; 2019 Jun; 19(1):34. PubMed ID: 31174617
[TBL] [Abstract][Full Text] [Related]
10. CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma.
Liu Y; Kim J; Qu F; Liu S; Wang H; Balagurunathan Y; Ye Z; Gillies RJ
Radiology; 2016 Jul; 280(1):271-80. PubMed ID: 26937803
[TBL] [Abstract][Full Text] [Related]
11. Lung adenocarcinoma: Assessment of epidermal growth factor receptor mutation status based on extended models of diffusion-weighted image.
Yuan M; Pu XH; Xu XQ; Zhang YD; Zhong Y; Li H; Wu JF; Yu TF
J Magn Reson Imaging; 2017 Jul; 46(1):281-289. PubMed ID: 28054731
[TBL] [Abstract][Full Text] [Related]
12. Metabolic phenotype of stage IV lung adenocarcinoma: relationship with epidermal growth factor receptor mutation.
Lee EY; Khong PL; Lee VH; Qian W; Yu X; Wong MP
Clin Nucl Med; 2015 Mar; 40(3):e190-5. PubMed ID: 25608155
[TBL] [Abstract][Full Text] [Related]
13. [Evaluate the value of (18)F-FDG PET-CT imaging in predicting the mutationsin epidermal growth factor receptor in lung adenocarcinoma].
Ding CY; Yang WP; Guo Z; Sun J; Li YY; Li TR
Zhonghua Zhong Liu Za Zhi; 2017 Jul; 39(7):528-531. PubMed ID: 28728300
[No Abstract] [Full Text] [Related]
14. Radiological and Clinical Features associated with Epidermal Growth Factor Receptor Mutation Status of Exon 19 and 21 in Lung Adenocarcinoma.
Shi Z; Zheng X; Shi R; Song C; Yang R; Zhang Q; Wang X; Lu J; Yu Y; Liu Q; Jiang T
Sci Rep; 2017 Mar; 7(1):364. PubMed ID: 28336963
[TBL] [Abstract][Full Text] [Related]
15. Clinical outcomes of EGFR-TKI treatment and genetic heterogeneity in lung adenocarcinoma patients with EGFR mutations on exons 19 and 21.
Yu JY; Yu SF; Wang SH; Bai H; Zhao J; An TT; Duan JC; Wang J
Chin J Cancer; 2016 Mar; 35():30. PubMed ID: 27001083
[TBL] [Abstract][Full Text] [Related]
16. Correlation between EGFR mutation status and computed tomography features in patients with advanced pulmonary adenocarcinoma.
Hsu JS; Huang MS; Chen CY; Liu GC; Liu TC; Chong IW; Chou SH; Yang CJ
J Thorac Imaging; 2014 Nov; 29(6):357-63. PubMed ID: 25303964
[TBL] [Abstract][Full Text] [Related]
17. Impact of epidermal growth factor receptor gene expression level on clinical outcomes in epidermal growth factor receptor mutant lung adenocarcinoma patients taking first-line epidermal growth factor receptor-tyrosine kinase inhibitors.
Chang HC; Chen YM; Tseng CC; Huang KT; Wang CC; Chen YC; Lai CH; Fang WF; Kao HC; Lin MC
Tumour Biol; 2017 Mar; 39(3):1010428317695939. PubMed ID: 28351317
[TBL] [Abstract][Full Text] [Related]
18. CT Gray-Level Texture Analysis as a Quantitative Imaging Biomarker of Epidermal Growth Factor Receptor Mutation Status in Adenocarcinoma of the Lung.
Ozkan E; West A; Dedelow JA; Chu BF; Zhao W; Yildiz VO; Otterson GA; Shilo K; Ghosh S; King M; White RD; Erdal BS
AJR Am J Roentgenol; 2015 Nov; 205(5):1016-25. PubMed ID: 26496549
[TBL] [Abstract][Full Text] [Related]
19. Combination of
Li S; Li Y; Zhao M; Wang P; Xin J
Korean J Radiol; 2022 Sep; 23(9):921-930. PubMed ID: 36047542
[TBL] [Abstract][Full Text] [Related]
20. Deep learning predicts epidermal growth factor receptor mutation subtypes in lung adenocarcinoma.
Song J; Ding C; Huang Q; Luo T; Xu X; Chen Z; Li S
Med Phys; 2021 Dec; 48(12):7891-7899. PubMed ID: 34669994
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
