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Three-way Comparison of Whole-Body MR, Coregistered Whole-Body FDG PET/MR, and Integrated Whole-Body FDG PET/CT Imaging: TNM and Stage Assessment Capability for Non-Small Cell Lung Cancer Patients.
Ohno Y, Koyama H, Yoshikawa T, Takenaka D, Seki S, Yui M, Yamagata H, Aoyagi K, Matsumoto S, Sugimura K. Ohno Y, et al. Among authors: aoyagi k. Radiology. 2015 Jun;275(3):849-61. doi: 10.1148/radiol.14140936. Epub 2015 Jan 14. Radiology. 2015. PMID: 25584709
Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study.
Ohno Y, Yaguchi A, Okazaki T, Aoyagi K, Yamagata H, Sugihara N, Koyama H, Yoshikawa T, Sugimura K. Ohno Y, et al. Among authors: aoyagi k. Eur J Radiol. 2016 Aug;85(8):1375-82. doi: 10.1016/j.ejrad.2016.05.001. Epub 2016 May 13. Eur J Radiol. 2016. PMID: 27423675
Comparison of Interobserver Agreement and Diagnostic Accuracy for IASLC/ITMIG Thymic Epithelial Tumor Staging Among Co-registered FDG-PET/MRI, Whole-body MRI, Integrated FDG-PET/CT, and Conventional Imaging Examination with and without Contrast Media Administrations.
Ohno Y, Kishida Y, Seki S, Koyama H, Yui M, Aoyagi K, Yoshikawa T. Ohno Y, et al. Among authors: aoyagi k. Acad Radiol. 2022 Mar;29 Suppl 3:S122-S131. doi: 10.1016/j.acra.2017.12.016. Epub 2018 Feb 1. Acad Radiol. 2022. PMID: 29395795
Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations.
Ohno Y, Aoyagi K, Takenaka D, Yoshikawa T, Fujisawa Y, Sugihara N, Hamabuchi N, Hanamatsu S, Obama Y, Ueda T, Hattori H, Murayama K, Toyama H. Ohno Y, et al. Among authors: aoyagi k. Acta Radiol. 2022 Oct;63(10):1363-1373. doi: 10.1177/02841851211044973. Epub 2021 Oct 12. Acta Radiol. 2022. PMID: 34636644
863 results