1803 related articles for article (PubMed ID: 32185618)
21. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
22. Impact of experimental design on PET radiomics in predicting somatic mutation status.
Yip SSF; Parmar C; Kim J; Huynh E; Mak RH; Aerts HJWL
Eur J Radiol; 2017 Dec; 97():8-15. PubMed ID: 29153372
[TBL] [Abstract][Full Text] [Related]
23. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Noninvasive O
Hajianfar G; Shiri I; Maleki H; Oveisi N; Haghparast A; Abdollahi H; Oveisi M
World Neurosurg; 2019 Dec; 132():e140-e161. PubMed ID: 31505292
[TBL] [Abstract][Full Text] [Related]
26. Graph Neural Network Model for Prediction of Non-Small Cell Lung Cancer Lymph Node Metastasis Using Protein-Protein Interaction Network and
Ju H; Kim K; Kim BI; Woo SK
Int J Mol Sci; 2024 Jan; 25(2):. PubMed ID: 38255770
[TBL] [Abstract][Full Text] [Related]
27. Assessing EGFR gene mutation status in non-small cell lung cancer with imaging features from PET/CT.
Jiang M; Zhang Y; Xu J; Ji M; Guo Y; Guo Y; Xiao J; Yao X; Shi H; Zeng M
Nucl Med Commun; 2019 Aug; 40(8):842-849. PubMed ID: 31290849
[TBL] [Abstract][Full Text] [Related]
28. Using tumor habitat-derived radiomic analysis during pretreatment
Zhao H; Su Y; Wang Y; Lyu Z; Xu P; Gu W; Tian L; Fu P
Cancer Imaging; 2024 Feb; 24(1):26. PubMed ID: 38342905
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. A Machine Learning Approach Using PET/CT-based Radiomics for Prediction of PD-L1 Expression in Non-small Cell Lung Cancer.
Lim CH; Koh YW; Hyun SH; Lee SJ
Anticancer Res; 2022 Dec; 42(12):5875-5884. PubMed ID: 36456151
[TBL] [Abstract][Full Text] [Related]
31. Radiomics for the prediction of EGFR mutation subtypes in non-small cell lung cancer.
Li S; Ding C; Zhang H; Song J; Wu L
Med Phys; 2019 Oct; 46(10):4545-4552. PubMed ID: 31376283
[TBL] [Abstract][Full Text] [Related]
32. IMPORTANCE of PRETREATMENT 18F-FDG PET/CT TEXTURE ANALYSIS in PREDICTING EGFR and ALK MUTATION in PATIENTS with NON-SMALL CELL LUNG CANCER.
Agüloğlu N; Aksu A; Akyol M; Katgı N; Doksöz TÇ
Nuklearmedizin; 2022 Dec; 61(6):433-439. PubMed ID: 35977671
[TBL] [Abstract][Full Text] [Related]
33. Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers.
Ninomiya K; Arimura H; Chan WY; Tanaka K; Mizuno S; Muhammad Gowdh NF; Yaakup NA; Liam CK; Chai CS; Ng KH
PLoS One; 2021; 16(1):e0244354. PubMed ID: 33428651
[TBL] [Abstract][Full Text] [Related]
34. Value of
Lv Z; Fan J; Xu J; Wu F; Huang Q; Guo M; Liao T; Liu S; Lan X; Liao S; Geng W; Jin Y
Eur J Nucl Med Mol Imaging; 2018 May; 45(5):735-750. PubMed ID: 29164298
[TBL] [Abstract][Full Text] [Related]
35. Predicting EGFR Mutation Status in Non-Small Cell Lung Cancer Using Artificial Intelligence: A Systematic Review and Meta-Analysis.
Nguyen HS; Ho DKN; Nguyen NN; Tran HM; Tam KW; Le NQK
Acad Radiol; 2024 Feb; 31(2):660-683. PubMed ID: 37120403
[TBL] [Abstract][Full Text] [Related]
36. Construction of a reference material panel for detecting
Xu J; Qu S; Sun N; Zhang W; Zhang J; Song Q; Lin M; Gao W; Zheng Q; Han M; Na C; Xu R; Chang X; Yang X; Huang J
J Clin Pathol; 2021 May; 74(5):314-320. PubMed ID: 32817175
[TBL] [Abstract][Full Text] [Related]
37. Pre-treatment
Ahn HK; Lee H; Kim SG; Hyun SH
Clin Radiol; 2019 Jun; 74(6):467-473. PubMed ID: 30898382
[TBL] [Abstract][Full Text] [Related]
38. Application of 18 F-fluorodeoxyglucose PET/CT radiomic features and machine learning to predict early recurrence of non-small cell lung cancer after curative-intent therapy.
Park SB; Kim KU; Park YW; Hwang JH; Lim CH
Nucl Med Commun; 2023 Feb; 44(2):161-168. PubMed ID: 36458424
[TBL] [Abstract][Full Text] [Related]
39. Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer.
Duan C; Chaovalitwongse WA; Bai F; Hippe DS; Wang S; Thammasorn P; Pierce LA; Liu X; You J; Miyaoka RS; Vesselle HJ; Kinahan PE; Rengan R; Zeng J; Bowen SR
Phys Med Biol; 2020 Oct; 65(20):205007. PubMed ID: 33027064
[TBL] [Abstract][Full Text] [Related]
40. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology.
Tu W; Sun G; Fan L; Wang Y; Xia Y; Guan Y; Li Q; Zhang D; Liu S; Li Z
Lung Cancer; 2019 Jun; 132():28-35. PubMed ID: 31097090
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
