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  Lung Cancer

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Articles published in J Comput Assist Tomogr

Retrieve available abstracts of 13 articles:
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    May 2017
  1. LONG NM, Plodkowski AJ, Schor-Bardach R, Geyer AI, et al
    Computed Tomographic Appearance of Organizing Pneumonia in an Oncologic Patient Population.
    J Comput Assist Tomogr. 2017;41:437-441.
    PubMed     Text format     Abstract available


    April 2017
  2. XU H, Koo HJ, Lee HN, Lim S, et al
    Lung Cancer in Patients With Tuberculous Fibrothorax and Empyema: Computed Tomography and 18F-Fluorodeoxyglucose Positron Emission Tomography Findings.
    J Comput Assist Tomogr. 2017 Apr 26. doi: 10.1097/RCT.0000000000000608.
    PubMed     Text format     Abstract available


    November 2016
  3. LIN JZ, Zhang L, Zhang CY, Yang L, et al
    Application of Gemstone Spectral Computed Tomography Imaging in the Characterization of Solitary Pulmonary Nodules: Preliminary Result.
    J Comput Assist Tomogr. 2016;40:907-911.
    PubMed     Text format     Abstract available


  4. SHROFF GS, Marom EM, Wu CC, Godoy MC, et al
    Pulmonary Legionellosis in Oncologic Patients: Findings on Chest CT.
    J Comput Assist Tomogr. 2016;40:917-922.
    PubMed     Text format     Abstract available


    September 2016
  5. TOMITA K, Hiraki T, Gobara H, Fujiwara H, et al
    Evaluation of Lung Radiofrequency Ablation With Dual-Energy Computed Tomography: Analysis of Tumor Composition and Lung Perfusion.
    J Comput Assist Tomogr. 2016;40:752-6.
    PubMed     Text format     Abstract available


    July 2016
  6. GUAN Y, You X, Li J, Xia T, et al
    Computed Tomography Manifestations and Excision Cross-Complementation Group 1 Expression of Stage I Non-Small-Cell Lung Cancer and Their Correlation With Prognosis.
    J Comput Assist Tomogr. 2016;40:584-8.
    PubMed     Text format     Abstract available


  7. GIERADA DS, Politte DG, Zheng J, Schechtman KB, et al
    Quantitative Computed Tomography Classification of Lung Nodules: Initial Comparison of 2- and 3-Dimensional Analysis.
    J Comput Assist Tomogr. 2016;40:589-95.
    PubMed     Text format     Abstract available


  8. DEN HARDER AM, Willemink MJ, van Hamersvelt RW, Vonken EP, et al
    Pulmonary Nodule Volumetry at Different Low Computed Tomography Radiation Dose Levels With Hybrid and Model-Based Iterative Reconstruction: A Within Patient Analysis.
    J Comput Assist Tomogr. 2016;40:578-83.
    PubMed     Text format     Abstract available


    May 2016
  9. QI LP, Li XT, Yang Y, Chen JF, et al
    Multivariate Analysis of Pleural Invasion of Peripheral Non-Small Cell Lung Cancer-Based Computed Tomography Features.
    J Comput Assist Tomogr. 2016.
    PubMed     Text format     Abstract available


  10. JENSEN K, Aalokken TM, Tingberg A, Fosse E, et al
    Image Quality in Oncologic Chest Computerized Tomography With Iterative Reconstruction: A Phantom Study.
    J Comput Assist Tomogr. 2016;40:351-6.
    PubMed     Text format     Abstract available


  11. JIANG HY, Ma H, Qian W, Wei GH, et al
    Risk Analysis for Pathological Changes in Pulmonary Parenchyma Based on Lung Computed Tomography Images.
    J Comput Assist Tomogr. 2016;40:357-63.
    PubMed     Text format     Abstract available


    February 2016
  12. SATOH Y, Motosugi U, Nambu A, Saito A, et al
    Prognostic Value of Semiautomatic CT Volumetry in Patients With Stage I Non-Small Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy.
    J Comput Assist Tomogr. 2016.
    PubMed     Text format     Abstract available


    January 2016
  13. HOU W, Sun X, Yin Y, Cheng J, et al
    Improving Image Quality for Lung Cancer Imaging With Optimal Monochromatic Energy Level in Dual Energy Spectral Computed Tomography.
    J Comput Assist Tomogr. 2016.
    PubMed     Text format     Abstract available


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