245 related articles for article (PubMed ID: 29153372)
1. 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]
2. 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]
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. 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]
5. 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]
6. Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery.
Kirienko M; Cozzi L; Antunovic L; Lozza L; Fogliata A; Voulaz E; Rossi A; Chiti A; Sollini M
Eur J Nucl Med Mol Imaging; 2018 Feb; 45(2):207-217. PubMed ID: 28944403
[TBL] [Abstract][Full Text] [Related]
7. Current progress and quality of radiomic studies for predicting EGFR mutation in patients with non-small cell lung cancer using PET/CT images: a systematic review.
Abdurixiti M; Nijiati M; Shen R; Ya Q; Abuduxiku N; Nijiati M
Br J Radiol; 2021 Jun; 94(1122):20201272. PubMed ID: 33882244
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
Digumarthy SR; Padole AM; Gullo RL; Sequist LV; Kalra MK
Medicine (Baltimore); 2019 Jan; 98(1):e13963. PubMed ID: 30608433
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Value of [
Li K; Sun H; Lu Z; Xin J; Zhang L; Guo Y; Guo Q
Eur J Radiol; 2018 Sep; 106():160-166. PubMed ID: 30150039
[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. Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
Coroller TP; Agrawal V; Huynh E; Narayan V; Lee SW; Mak RH; Aerts HJWL
J Thorac Oncol; 2017 Mar; 12(3):467-476. PubMed ID: 27903462
[TBL] [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. Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result.
Jiang M; Sun D; Guo Y; Guo Y; Xiao J; Wang L; Yao X
Acad Radiol; 2020 Feb; 27(2):171-179. PubMed ID: 31147234
[TBL] [Abstract][Full Text] [Related]
16. Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis.
Haga A; Takahashi W; Aoki S; Nawa K; Yamashita H; Abe O; Nakagawa K
Radiol Phys Technol; 2018 Mar; 11(1):27-35. PubMed ID: 29209915
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies.
Shiri I; Rahmim A; Ghaffarian P; Geramifar P; Abdollahi H; Bitarafan-Rajabi A
Eur Radiol; 2017 Nov; 27(11):4498-4509. PubMed ID: 28567548
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
