593 related articles for article (PubMed ID: 27688480)
1. Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.
Yip SS; Kim J; Coroller TP; Parmar C; Velazquez ER; Huynh E; Mak RH; Aerts HJ
J Nucl Med; 2017 Apr; 58(4):569-576. PubMed ID: 27688480
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. FDG uptake in non-small cell lung cancer is not an independent predictor of EGFR or KRAS mutation status: a retrospective analysis of 206 patients.
Lee SM; Bae SK; Jung SJ; Kim CK
Clin Nucl Med; 2015 Dec; 40(12):950-8. PubMed ID: 26359571
[TBL] [Abstract][Full Text] [Related]
6. Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.
Shiri I; Amini M; Nazari M; Hajianfar G; Haddadi Avval A; Abdollahi H; Oveisi M; Arabi H; Rahmim A; Zaidi H
Comput Biol Med; 2022 Mar; 142():105230. PubMed ID: 35051856
[TBL] [Abstract][Full Text] [Related]
7. Role of [¹⁸F]FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer.
Caicedo C; Garcia-Velloso MJ; Lozano MD; Labiano T; Vigil Diaz C; Lopez-Picazo JM; Gurpide A; Zulueta JJ; Richter Echevarria JA; Perez Gracia JL
Eur J Nucl Med Mol Imaging; 2014 Nov; 41(11):2058-65. PubMed ID: 24990403
[TBL] [Abstract][Full Text] [Related]
8. Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer.
Rios Velazquez E; Parmar C; Liu Y; Coroller TP; Cruz G; Stringfield O; Ye Z; Makrigiorgos M; Fennessy F; Mak RH; Gillies R; Quackenbush J; Aerts HJWL
Cancer Res; 2017 Jul; 77(14):3922-3930. PubMed ID: 28566328
[TBL] [Abstract][Full Text] [Related]
9. The role of metabolic tumor volume (MTV) measured by [18F] FDG PET/CT in predicting EGFR gene mutation status in non-small cell lung cancer.
Liu A; Han A; Zhu H; Ma L; Huang Y; Li M; Jin F; Yang Q; Yu J
Oncotarget; 2017 May; 8(20):33736-33744. PubMed ID: 28422710
[TBL] [Abstract][Full Text] [Related]
10. Role of 18F-fluorodeoxyglucose positron emission tomography in predicting epidermal growth factor receptor mutations in non-small cell lung cancer.
Mak RH; Digumarthy SR; Muzikansky A; Engelman JA; Shepard JA; Choi NC; Sequist LV
Oncologist; 2011; 16(3):319-26. PubMed ID: 21339258
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 18F-FDG uptake and EGFR mutations in patients with non-small cell lung cancer: a single-institution retrospective analysis.
Na II; Byun BH; Kim KM; Cheon GJ; Choe du H; Koh JS; Lee DY; Ryoo BY; Baek H; Lim SM; Yang SH; Kim CH; Lee JC
Lung Cancer; 2010 Jan; 67(1):76-80. PubMed ID: 19371962
[TBL] [Abstract][Full Text] [Related]
14. Imaging phenotype using
Lim CH; Cho YS; Choi JY; Lee KH; Lee JK; Min JH; Hyun SH
Eur J Nucl Med Mol Imaging; 2020 Aug; 47(9):2113-2122. PubMed ID: 32002592
[TBL] [Abstract][Full Text] [Related]
15. CT-based non-invasive identification of the most common gene mutation status in patients with non-small cell lung cancer.
Chen Z; Gao S; Ding C; Luo T; Xu J; Xu S; Li S
Med Phys; 2024 Mar; 51(3):1872-1882. PubMed ID: 37706584
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.
Nair JKR; Saeed UA; McDougall CC; Sabri A; Kovacina B; Raidu BVS; Khokhar RA; Probst S; Hirsh V; Chankowsky J; Van Kempen LC; Taylor J
Can Assoc Radiol J; 2021 Feb; 72(1):109-119. PubMed ID: 32063026
[TBL] [Abstract][Full Text] [Related]
18. Predictive value of multiple metabolic and heterogeneity parameters of
Shi A; Wang J; Wang Y; Guo G; Fan C; Liu J
Ann Nucl Med; 2022 Apr; 36(4):393-400. PubMed ID: 35084711
[TBL] [Abstract][Full Text] [Related]
19. Predictive Power of a Radiomic Signature Based on
Li X; Yin G; Zhang Y; Dai D; Liu J; Chen P; Zhu L; Ma W; Xu W
Front Oncol; 2019; 9():1062. PubMed ID: 31681597
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
