BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 33681463)

  • 1. Identifying Robust Radiomics Features for Lung Cancer by Using In-Vivo and Phantom Lung Lesions.
    Lu L; Sun SH; Afran A; Yang H; Lu ZF; So J; Schwartz LH; Zhao B
    Tomography; 2021 Mar; 7(1):55-64. PubMed ID: 33681463
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The impact of respiratory motion and CT pitch on the robustness of radiomics feature extraction in 4DCT lung imaging.
    Li X; Chen E; Guo B; Yang W; Han R; Hu C; Zhang L; Pan C; Ma S; Kuang Y
    Comput Methods Programs Biomed; 2020 Dec; 197():105719. PubMed ID: 32916542
    [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. Hybrid deep multi-task learning radiomics approach for predicting EGFR mutation status of non-small cell lung cancer in CT images.
    Gong J; Fu F; Ma X; Wang T; Ma X; You C; Zhang Y; Peng W; Chen H; Gu Y
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37972417
    [No Abstract]   [Full Text] [Related]  

  • 5. 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]  

  • 6. Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.
    Yang X; Liu M; Ren Y; Chen H; Yu P; Wang S; Zhang R; Dai H; Wang C
    Eur Radiol; 2022 Apr; 32(4):2693-2703. PubMed ID: 34807270
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Measuring Computed Tomography Scanner Variability of Radiomics Features.
    Mackin D; Fave X; Zhang L; Fried D; Yang J; Taylor B; Rodriguez-Rivera E; Dodge C; Jones AK; Court L
    Invest Radiol; 2015 Nov; 50(11):757-65. PubMed ID: 26115366
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients.
    Kim S; Lim JH; Kim CH; Roh J; You S; Choi JS; Lim JH; Kim L; Chang JW; Park D; Lee MW; Kim S; Heo J
    Sci Rep; 2024 Jan; 14(1):922. PubMed ID: 38195717
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung Cancer.
    Felfli M; Liu Y; Zerka F; Voyton C; Thinnes A; Jacques S; Iannessi A; Bodard S
    Int J Mol Sci; 2023 Jul; 24(14):. PubMed ID: 37511192
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. The impact of phantom design and material-dependence on repeatability and reproducibility of CT-based radiomics features.
    Li Y; Reyhan M; Zhang Y; Wang X; Zhou J; Zhang Y; Yue NJ; Nie K
    Med Phys; 2022 Mar; 49(3):1648-1659. PubMed ID: 35103332
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?
    Fave X; Mackin D; Yang J; Zhang J; Fried D; Balter P; Followill D; Gomez D; Jones AK; Stingo F; Fontenot J; Court L
    Med Phys; 2015 Dec; 42(12):6784-97. PubMed ID: 26632036
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics Prediction of EGFR Status in Lung Cancer-Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data.
    Lu L; Sun SH; Yang H; E L; Guo P; Schwartz LH; Zhao B
    Tomography; 2020 Jun; 6(2):223-230. PubMed ID: 32548300
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Effects of alterations in positron emission tomography imaging parameters on radiomics features.
    Ger RB; Meier JG; Pahlka RB; Gay S; Mumme R; Fuller CD; Li H; Howell RM; Layman RR; Stafford RJ; Zhou S; Mawlawi O; Court LE
    PLoS One; 2019; 14(9):e0221877. PubMed ID: 31487307
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.
    Le NQK; Kha QH; Nguyen VH; Chen YC; Cheng SJ; Chen CY
    Int J Mol Sci; 2021 Aug; 22(17):. PubMed ID: 34502160
    [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. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.