Quantitative Computed Tomography Imaging of Lung Cancer
Author:
Affiliation:
1. Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
Publisher
Japan Lung Cancer Society
Subject
Pulmonary and Respiratory Medicine,Oncology
Link
https://www.jstage.jst.go.jp/article/haigan/59/1/59_29/_pdf
Reference29 articles.
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2. 2. Wormanns D, Kohl G, Klotz E, Marheine A, Beyer F, Heindel W, et al. Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility. Eur Radiol. 2004; 14: 86-92.
3. 3. Goo JM. A computer-aided diagnosis for evaluating lung nodules on chest CT: the current status and perspective. Korean J Radiol. 2011; 12: 145-155.
4. 4. Naidich DP, Bankier AA, MacMahon H, Schaefer-Prokop CM, Pistolesi M, Goo JM, et al. Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society. Radiology. 2013; 266: 304-317.
5. 5. Yanagawa M, Morii E, Hata A, Fujiwara M, Gyobu T, Ueda K, et al. Dual-energy dynamic CT of lung adenocarcinoma: correlation of iodine uptake with tumor gene expression. Eur J Radiol. 2016; 85: 1407-1413.
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