398 related articles for article (PubMed ID: 35875167)
1. Can CT Radiomics Detect Acquired T790M Mutation and Predict Prognosis in Advanced Lung Adenocarcinoma With Progression After First- or Second-Generation EGFR TKIs?
Yang X; Fang C; Li C; Gong M; Yi X; Lin H; Li K; Yu X
Front Oncol; 2022; 12():904983. PubMed ID: 35875167
[TBL] [Abstract][Full Text] [Related]
2. Machine Learning-Based CT Radiomics Analysis for Prognostic Prediction in Metastatic Non-Small Cell Lung Cancer Patients With
Tang X; Li Y; Yan WF; Qian WL; Pang T; Gong YL; Yang ZG
Front Oncol; 2021; 11():719919. PubMed ID: 34660285
[TBL] [Abstract][Full Text] [Related]
3. A Radiomics-clinical Nomogram based on CT Radiomics to Predict Acquired T790M Mutation Status in Non-small Cell Lung Cancer Patients.
Xiong W; Yu X; Zhou T; Huang H; Zhao Z; Wang T
Curr Med Imaging; 2024 Mar; ():. PubMed ID: 38523520
[TBL] [Abstract][Full Text] [Related]
4. CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy.
Li Y; Lv X; Wang Y; Xu Z; Lv Y; Hou D
Eur Radiol Exp; 2023 Nov; 7(1):64. PubMed ID: 37914925
[TBL] [Abstract][Full Text] [Related]
5. CT Radiomics Predict EGFR-T790M Resistance Mutation in Advanced Non-Small Cell Lung Cancer Patients After Progression on First-line EGFR-TKI.
Tang X; Li Y; Shen LT; Yan WF; Qian WL; Yang ZG
Acad Radiol; 2023 Nov; 30(11):2574-2587. PubMed ID: 36941156
[TBL] [Abstract][Full Text] [Related]
6. PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs.
Yang L; Xu P; Li M; Wang M; Peng M; Zhang Y; Wu T; Chu W; Wang K; Meng H; Zhang L
Front Oncol; 2022; 12():894323. PubMed ID: 35800046
[TBL] [Abstract][Full Text] [Related]
7. Clinical characteristics and MRI based radiomics nomograms can predict iPFS and short-term efficacy of third-generation EGFR-TKI in EGFR-mutated lung adenocarcinoma with brain metastases.
Qi H; Hou Y; Zheng Z; Zheng M; Qiao Q; Wang Z; Sun X; Xing L
BMC Cancer; 2024 Mar; 24(1):362. PubMed ID: 38515096
[TBL] [Abstract][Full Text] [Related]
8. Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma.
Fan Y; Dong Y; Wang H; Wang H; Sun X; Wang X; Zhao P; Luo Y; Jiang X
Eur Radiol; 2022 Oct; 32(10):6739-6751. PubMed ID: 35729427
[TBL] [Abstract][Full Text] [Related]
9. Application value of CT radiomic nomogram in predicting T790M mutation of lung adenocarcinoma.
Li X; Chen J; Zhang C; Han Z; Zheng X; Cao D
BMC Pulm Med; 2023 Sep; 23(1):339. PubMed ID: 37697337
[TBL] [Abstract][Full Text] [Related]
10. Value of
Yang B; Ji H; Zhong J; Ma L; Zhong J; Dong H; Zhou C; Duan S; Zhu C; Tian J; Zhang L; Wang F; Zhu H; Lu G
Front Oncol; 2020; 10():567160. PubMed ID: 33262942
[TBL] [Abstract][Full Text] [Related]
11. Clinical characteristics of T790M-positive lung adenocarcinoma after resistance to epidermal growth factor receptor-tyrosine kinase inhibitors with an emphasis on brain metastasis and survival.
Joo JW; Hong MH; Shim HS
Lung Cancer; 2018 Jul; 121():12-17. PubMed ID: 29858020
[TBL] [Abstract][Full Text] [Related]
12. The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma.
Zhao W; Wu Y; Xu Y; Sun Y; Gao P; Tan M; Ma W; Li C; Jin L; Hua Y; Liu J; Li M
Front Oncol; 2019; 9():1485. PubMed ID: 31993370
[No Abstract] [Full Text] [Related]
13. [Application of radiomics captured from CT to predict the EGFR mutation status and TKIs therapeutic sensitivity of advanced lung adenocarcinoma].
Yang CS; Chen WD; Gong GZ; Li ZJ; Qiu QT; Yin Y
Zhonghua Zhong Liu Za Zhi; 2019 Apr; 41(4):282-287. PubMed ID: 31014053
[No Abstract] [Full Text] [Related]
14. 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]
15. Development and validation of a
Liu H; Cui Y; Chang C; Zhou Z; Zhang Y; Ma C; Yin Y; Wang R
BMC Cancer; 2024 Jan; 24(1):150. PubMed ID: 38291351
[TBL] [Abstract][Full Text] [Related]
16. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
17. A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma.
Chang C; Zhou S; Yu H; Zhao W; Ge Y; Duan S; Wang R; Qian X; Lei B; Wang L; Liu L; Ruan M; Yan H; Sun X; Xie W
Eur Radiol; 2021 Aug; 31(8):6259-6268. PubMed ID: 33544167
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
Chen Z; Yi L; Peng Z; Zhou J; Zhang Z; Tao Y; Lin Z; He A; Jin M; Zuo M
Front Oncol; 2022; 12():949111. PubMed ID: 36505773
[TBL] [Abstract][Full Text] [Related]
19. Application of CT radiomics features to predict the EGFR mutation status and therapeutic sensitivity to TKIs of advanced lung adenocarcinoma.
Yang C; Chen W; Gong G; Li Z; Qiu Q; Yin Y
Transl Cancer Res; 2020 Nov; 9(11):6683-6690. PubMed ID: 35117278
[TBL] [Abstract][Full Text] [Related]
20. Value of pre-therapy
Zhang J; Zhao X; Zhao Y; Zhang J; Zhang Z; Wang J; Wang Y; Dai M; Han J
Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1137-1146. PubMed ID: 31728587
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
