BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 30279049)

  • 1. Quantitative radiomics: Validating image textural features for oncological PET in lung cancer.
    Yang F; Young LA; Johnson PB
    Radiother Oncol; 2018 Nov; 129(2):209-217. PubMed ID: 30279049
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Investigation of realistic PET simulations incorporating tumor patient's specificity using anthropomorphic models: creation of an oncology database.
    Papadimitroulas P; Loudos G; Le Maitre A; Hatt M; Tixier F; Efthimiou N; Nikiforidis GC; Visvikis D; Kagadis GC
    Med Phys; 2013 Nov; 40(11):112506. PubMed ID: 24320465
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
    Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
    J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Impact of Optimal Respiratory Gating and Image Noise on Evaluation of Intratumor Heterogeneity on 18F-FDG PET Imaging of Lung Cancer.
    Grootjans W; Tixier F; van der Vos CS; Vriens D; Le Rest CC; Bussink J; Oyen WJ; de Geus-Oei LF; Visvikis D; Visser EP
    J Nucl Med; 2016 Nov; 57(11):1692-1698. PubMed ID: 27283931
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data.
    Beichel RR; Smith BJ; Bauer C; Ulrich EJ; Ahmadvand P; Budzevich MM; Gillies RJ; Goldgof D; Grkovski M; Hamarneh G; Huang Q; Kinahan PE; Laymon CM; Mountz JM; Muzi JP; Muzi M; Nehmeh S; Oborski MJ; Tan Y; Zhao B; Sunderland JJ; Buatti JM
    Med Phys; 2017 Feb; 44(2):479-496. PubMed ID: 28205306
    [TBL] [Abstract][Full Text] [Related]  

  • 6.
    Tsujikawa T; Rahman T; Yamamoto M; Yamada S; Tsuyoshi H; Kiyono Y; Kimura H; Yoshida Y; Okazawa H
    Ann Nucl Med; 2017 Nov; 31(9):678-685. PubMed ID: 28815452
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of PET texture features with heterogeneous phantoms: complementarity and effect of motion and segmentation method.
    Carles M; Torres-Espallardo I; Alberich-Bayarri A; Olivas C; Bello P; Nestle U; Martí-Bonmatí L
    Phys Med Biol; 2017 Jan; 62(2):652-668. PubMed ID: 28033121
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The use of zeolites to generate PET phantoms for the validation of quantification strategies in oncology.
    Zito F; De Bernardi E; Soffientini C; Canzi C; Casati R; Gerundini P; Baselli G
    Med Phys; 2012 Sep; 39(9):5353-61. PubMed ID: 22957603
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative imaging: Correlating image features with the segmentation accuracy of PET based tumor contours in the lung.
    Johnson PB; Young LA; Lamichhane N; Patel V; Chinea FM; Yang F
    Radiother Oncol; 2017 May; 123(2):257-262. PubMed ID: 28433412
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?
    Karacavus S; Yılmaz B; Tasdemir A; Kayaaltı Ö; Kaya E; İçer S; Ayyıldız O
    J Digit Imaging; 2018 Apr; 31(2):210-223. PubMed ID: 28685320
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning.
    Yu H; Caldwell C; Mah K; Mozeg D
    IEEE Trans Med Imaging; 2009 Mar; 28(3):374-83. PubMed ID: 19244009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sensitivity of Image Features to Noise in Conventional and Respiratory-Gated PET/CT Images of Lung Cancer: Uncorrelated Noise Effects.
    Oliver JA; Budzevich M; Hunt D; Moros EG; Latifi K; Dilling TJ; Feygelman V; Zhang G
    Technol Cancer Res Treat; 2017 Oct; 16(5):595-608. PubMed ID: 27502957
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters.
    Galavis PE; Hollensen C; Jallow N; Paliwal B; Jeraj R
    Acta Oncol; 2010 Oct; 49(7):1012-6. PubMed ID: 20831489
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.
    Giri MG; Cavedon C; Mazzarotto R; Ferdeghini M
    Med Phys; 2016 May; 43(5):2491. PubMed ID: 27147360
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) - A prospective externally validated study.
    Carvalho S; Leijenaar RTH; Troost EGC; van Timmeren JE; Oberije C; van Elmpt W; de Geus-Oei LF; Bussink J; Lambin P
    PLoS One; 2018; 13(3):e0192859. PubMed ID: 29494598
    [TBL] [Abstract][Full Text] [Related]  

  • 16.
    Lasnon C; Majdoub M; Lavigne B; Do P; Madelaine J; Visvikis D; Hatt M; Aide N
    Eur J Nucl Med Mol Imaging; 2016 Dec; 43(13):2324-2335. PubMed ID: 27325312
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
    Belhassen S; Zaidi H
    Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy.
    Pyka T; Bundschuh RA; Andratschke N; Mayer B; Specht HM; Papp L; Zsótér N; Essler M
    Radiat Oncol; 2015 Apr; 10():100. PubMed ID: 25900186
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of Tumor Uptake Heterogeneity Characterization Between Static and Parametric 18F-FDG PET Images in Non-Small Cell Lung Cancer.
    Tixier F; Vriens D; Cheze-Le Rest C; Hatt M; Disselhorst JA; Oyen WJ; de Geus-Oei LF; Visser EP; Visvikis D
    J Nucl Med; 2016 Jul; 57(7):1033-9. PubMed ID: 26966161
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards.
    Nyflot MJ; Yang F; Byrd D; Bowen SR; Sandison GA; Kinahan PE
    J Med Imaging (Bellingham); 2015 Oct; 2(4):041002. PubMed ID: 26251842
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.