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Lung Cancer

Free Subscription Articles published in J Comput Assist Tomogr Retrieve available abstracts of 11 articles: HTML format Text format

Single Articles

January 2010
1. NAKAYAMA J , Miyasaka K, Omatsu T, Onodera Y, et al
   Metastases in mediastinal and hilar lymph nodes in patients with non-small cell lung cancer: quantitative assessment with diffusion-weighted magnetic resonance imaging and apparent diffusion coefficient.
   J Comput Assist Tomogr. 2010;34:1-8.
   PubMed     Text format     Related articles    Abstract available
   
   
   
2. HWANG J , Chung MJ, Bae Y, Shin KM, et al
   Computer-aided detection of lung nodules: influence of the image reconstruction kernel for computer-aided detection performance.
   J Comput Assist Tomogr. 2010;34:31-4.
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3. TEAGUE SD , Trilikis G, Dharaiya E
   Lung nodule computer-aided detection as a second reader: influence on radiology residents.
   J Comput Assist Tomogr. 2010;34:35-9.
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   September 2009
4. GOTTLIEB RH , Kumar P, Loud P, Klippenstein D, et al
   Semiquantitative visual approach to scoring lung cancer treatment response using computed tomography: a pilot study.
   J Comput Assist Tomogr. 2009;33:743-7.
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   January 2009
5. JUNG DC , Choi HJ, Kim HY, Lee KH, et al
   Pulmonary metastasis from renal cell carcinoma: characterization using contrast-enhanced CT attenuation value measurements.
   J Comput Assist Tomogr. 2009;33:54-7.
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6. FUNAMA Y , Awai K, Liu D, Oda S, et al
   Detection of nodules showing ground-glass opacity in the lungs at low-dose multidetector computed tomography: phantom and clinical study.
   J Comput Assist Tomogr. 2009;33:49-53.
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7. SAITO H , Yamada K, Hamanaka N, Oshita F, et al
   Initial findings and progression of lung adenocarcinoma on serial computed tomography scans.
   J Comput Assist Tomogr. 2009;33:42-8.
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   September 2008
8. KAKINUMA R , Kodama K, Yamada K, Yokoyama A, et al
   Performance evaluation of 4 measuring methods of ground-glass opacities for predicting the 5-year relapse-free survival of patients with peripheral nonsmall cell lung cancer: a multicenter study.
   J Comput Assist Tomogr. 2008;32:792-8.
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9. FURUYA K , Yasumori K, Takeo S, Uesugi N, et al
   Well-differentiated fetal adenocarcinoma of the lung: early-phase sequential high-resolution computed tomographic findings.
   J Comput Assist Tomogr. 2008;32:806-9.
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   July 2008
10. GOO JM , Kim HY, Lee JW, Lee HJ, et al
    Is the computer-aided detection scheme for lung nodule also useful in detecting lung cancer?
    J Comput Assist Tomogr. 2008;32:570-5.
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11. SATOH S , Kitazume Y, Taura S, Kimula Y, et al
    Pulmonary emphysema: histopathologic correlation with minimum intensity projection imaging, high-resolution computed tomography, and pulmonary function test results.
    J Comput Assist Tomogr. 2008;32:576-82.
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