262 related articles for article (PubMed ID: 32483122)
1. Contrast-enhanced T1-weighted image radiomics of brain metastases may predict EGFR mutation status in primary lung cancer.
Ahn SJ; Kwon H; Yang JJ; Park M; Cha YJ; Suh SH; Lee JM
Sci Rep; 2020 Jun; 10(1):8905. PubMed ID: 32483122
[TBL] [Abstract][Full Text] [Related]
2. Distinguishing EGFR mutation molecular subtypes based on MRI radiomics features of lung adenocarcinoma brain metastases.
Xu J; Yang Y; Gao Z; Song T; Ma Y; Yu X; Shi C
Clin Neurol Neurosurg; 2024 May; 240():108258. PubMed ID: 38552362
[TBL] [Abstract][Full Text] [Related]
3. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
4. Radiomic prediction of mutation status based on MR imaging of lung cancer brain metastases.
Chen BT; Jin T; Ye N; Mambetsariev I; Daniel E; Wang T; Wong CW; Rockne RC; Colen R; Holodny AI; Sampath S; Salgia R
Magn Reson Imaging; 2020 Jun; 69():49-56. PubMed ID: 32179095
[TBL] [Abstract][Full Text] [Related]
5. Radiomics signature of brain metastasis: prediction of EGFR mutation status.
Wang G; Wang B; Wang Z; Li W; Xiu J; Liu Z; Han M
Eur Radiol; 2021 Jul; 31(7):4538-4547. PubMed ID: 33439315
[TBL] [Abstract][Full Text] [Related]
6. Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer.
Park YW; An C; Lee J; Han K; Choi D; Ahn SS; Kim H; Ahn SJ; Chang JH; Kim SH; Lee SK
Neuroradiology; 2021 Mar; 63(3):343-352. PubMed ID: 32827069
[TBL] [Abstract][Full Text] [Related]
7. Differentiating EGFR from ALK mutation status using radiomics signature based on MR sequences of brain metastasis.
Li Y; Lv X; Wang B; Xu Z; Wang Y; Gao S; Hou D
Eur J Radiol; 2022 Oct; 155():110499. PubMed ID: 36049410
[TBL] [Abstract][Full Text] [Related]
8. A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer.
Li Y; Lv X; Chen C; Yu R; Wang B; Wang D; Hou D
Eur Radiol Exp; 2024 Jan; 8(1):2. PubMed ID: 38169047
[TBL] [Abstract][Full Text] [Related]
9. MR-based radiomics predictive modelling of EGFR mutation and HER2 overexpression in metastatic brain adenocarcinoma: a two-centre study.
Li Y; Jin Y; Wang Y; Liu W; Jia W; Wang J
Cancer Imaging; 2024 May; 24(1):65. PubMed ID: 38773634
[TBL] [Abstract][Full Text] [Related]
10. Multiregional radiomics of brain metastasis can predict response to EGFR-TKI in metastatic NSCLC.
Fan Y; Wang X; Dong Y; Cui E; Wang H; Sun X; Su J; Luo Y; Yu T; Jiang X
Eur Radiol; 2023 Nov; 33(11):7902-7912. PubMed ID: 37142868
[TBL] [Abstract][Full Text] [Related]
11. Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on
Koyasu S; Nishio M; Isoda H; Nakamoto Y; Togashi K
Ann Nucl Med; 2020 Jan; 34(1):49-57. PubMed ID: 31659591
[TBL] [Abstract][Full Text] [Related]
12. Multiparametric MRI-Based Radiomics Approaches for Preoperative Prediction of EGFR Mutation Status in Spinal Bone Metastases in Patients with Lung Adenocarcinoma.
Jiang X; Ren M; Shuang X; Yang H; Shi D; Lai Q; Dong Y
J Magn Reson Imaging; 2021 Aug; 54(2):497-507. PubMed ID: 33638577
[TBL] [Abstract][Full Text] [Related]
13. Radiomics evaluates the EGFR mutation status from the brain metastasis: a multi-center study.
Cao R; Pang Z; Wang X; Du Z; Chen H; Liu J; Yue Z; Wang H; Luo Y; Jiang X
Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35588722
[No Abstract] [Full Text] [Related]
14. MRI-based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients.
Ren M; Yang H; Lai Q; Shi D; Liu G; Shuang X; Su J; Xie L; Dong Y; Jiang X
Med Phys; 2021 Sep; 48(9):5142-5151. PubMed ID: 34318502
[TBL] [Abstract][Full Text] [Related]
15. Radiomic Detection of EGFR Mutations in NSCLC.
Rossi G; Barabino E; Fedeli A; Ficarra G; Coco S; Russo A; Adamo V; Buemi F; Zullo L; Dono M; De Luca G; Longo L; Dal Bello MG; Tagliamento M; Alama A; Cittadini G; Pronzato P; Genova C
Cancer Res; 2021 Feb; 81(3):724-731. PubMed ID: 33148663
[TBL] [Abstract][Full Text] [Related]
16. Predicting EGFR T790M Mutation in Brain Metastases Using Multisequence MRI-Based Radiomics Signature.
Li Y; Lv X; Wang B; Xu Z; Wang Y; Sun M; Hou D
Acad Radiol; 2023 Sep; 30(9):1887-1895. PubMed ID: 36586758
[TBL] [Abstract][Full Text] [Related]
17. Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases.
Haim O; Abramov S; Shofty B; Fanizzi C; DiMeco F; Avisdris N; Ram Z; Artzi M; Grossman R
J Neurooncol; 2022 Mar; 157(1):63-69. PubMed ID: 35119589
[TBL] [Abstract][Full Text] [Related]
18. Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis.
Nakamoto T; Takahashi W; Haga A; Takahashi S; Kiryu S; Nawa K; Ohta T; Ozaki S; Nozawa Y; Tanaka S; Mukasa A; Nakagawa K
Sci Rep; 2019 Dec; 9(1):19411. PubMed ID: 31857632
[TBL] [Abstract][Full Text] [Related]
19. Using Radiomics to Differentiate Brain Metastases From Lung Cancer Versus Breast Cancer, Including Predicting Epidermal Growth Factor Receptor and human Epidermal Growth Factor Receptor 2 Status.
Shi J; Chen H; Wang X; Cao R; Chen Y; Cheng Y; Pang Z; Huang C
J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):924-933. PubMed ID: 37948368
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
