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Akinori Hata, Ph.D., M.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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  1. Yanagawa M, Tsubamoto M, Satoh Y, Hata A, Miyata T, Yoshida Y, Kikuchi N, Kurakami H, Tomiyama N. Lung Adenocarcinoma at CT with 0.25-mm Section Thickness and a 2048 Matrix: High-Spatial-Resolution Imaging for Predicting Invasiveness. Radiology. 2020 Sep 08; 201911. PMID: 32897161.
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  2. Hata A, Yanagawa M, Yamagata K, Suzuki Y, Kido S, Kawata A, Doi S, Yoshida Y, Miyata T, Tsubamoto M, Kikuchi N, Tomiyama N. Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT. Eur Radiol. 2020 Aug 28. PMID: 32857203.
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  3. Kikuchi N, Yanagawa M, Yoshida Y, Miyata T, Sato Y, Tsubamoto M, Hosomi R, Hata A, Taniguchi S, Matsui Y, Shintani Y, Tomiyama N. Spontaneous Regression of Type B3 Thymoma With Mesothelial Cyst: A Case Report. J Thorac Imaging. 2020 Aug 12. PMID: 32796252.
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  4. Kikuchi N, Yanagawa M, Enchi Y, Nakayama A, Yoshida Y, Miyata T, Hata A, Tsubamoto M, Honda O, Tomiyama N. The effect of the reconstruction algorithm for the pulmonary nodule detection under the metal artifact caused by a pacemaker. Medicine (Baltimore). 2020 Jun 12; 99(24):e20579. PMID: 32541487.
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  5. Hida T, Nishino M, Hino T, Lu J, Putman RK, Gudmundsson EF, Araki T, Valtchinov VI, Honda O, Yanagawa M, Yamada Y, Hata A, Jinzaki M, Tomiyama N, Honda H, Estepar RSJ, Washko GR, Johkoh T, Christiani DC, Lynch DA, Gudnason V, Gudmundsson G, Hunninghake GM, Hatabu H. Traction Bronchiectasis/Bronchiolectasis is Associated with Interstitial Lung Abnormality Mortality. Eur J Radiol. 2020 Aug; 129:109073. PMID: 32480316.
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  6. Tsubamoto M, Hata A, Yanagawa M, Honda O, Miyata T, Yoshida Y, Nakayama A, Kikuchi N, Uranishi A, Tsukagoshi S, Watanabe Y, Tomiyama N. Ultra high-resolution computed tomography with 1024-matrix: Comparison with 512-matrix for the evaluation of pulmonary nodules. Eur J Radiol. 2020 Jul; 128:109033. PMID: 32416552.
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  7. Miyata T, Yanagawa M, Hata A, Honda O, Yoshida Y, Kikuchi N, Tsubamoto M, Tsukagoshi S, Uranishi A, Tomiyama N. Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT. Eur Radiol. 2020 Jun; 30(6):3324-3333. PMID: 32072253.
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  8. Yanagawa M, Niioka H, Hata A, Kikuchi N, Honda O, Kurakami H, Morii E, Noguchi M, Watanabe Y, Miyake J, Tomiyama N. Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study. Medicine (Baltimore). 2019 Jun; 98(25):e16119. PMID: 31232960.
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  9. Hata A, Yanagawa M, Honda O, Miyata T, Tomiyama N. Ultra-low-dose chest computed tomography for interstitial lung disease using model-based iterative reconstruction with or without the lung setting. Medicine (Baltimore). 2019 May; 98(22):e15936. PMID: 31145365.
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  10. Sato Y, Yanagawa M, Hata A, Enchi Y, Kikuchi N, Honda O, Nakanishi K, Tomiyama N. Volumetric analysis of the thymic epithelial tumors: correlation of tumor volume with the WHO classification and Masaoka staging. J Thorac Dis. 2018 Oct; 10(10):5822-5832. PMID: 30505490.
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  11. Hata A, Yanagawa M, Kikuchi N, Honda O, Tomiyama N. Pulmonary Emphysema Quantification on Ultra-Low-Dose Computed Tomography Using Model-Based Iterative Reconstruction With or Without Lung Setting. J Comput Assist Tomogr. 2018 Sep/Oct; 42(5):760-766. PMID: 29958197.
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  12. Yanagawa M, Hata A, Honda O, Kikuchi N, Miyata T, Uranishi A, Tsukagoshi S, Tomiyama N. Subjective and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric human lungs. Eur Radiol. 2018 Dec; 28(12):5060-5068. PMID: 29845337.
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  13. Honda O, Yanagawa M, Hata A, Kikuchi N, Miyata T, Tsukagoshi S, Uranishi A, Tomiyama N. Influence of gantry rotation time and scan mode on image quality in ultra-high-resolution CT system. Eur J Radiol. 2018 Jun; 103:71-75. PMID: 29803389.
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  14. Hata A, Yanagawa M, Honda O, Kikuchi N, Miyata T, Tsukagoshi S, Uranishi A, Tomiyama N. Effect of Matrix Size on the Image Quality of Ultra-high-resolution CT of the Lung: Comparison of 512?×?512, 1024?×?1024, and 2048?×?2048. Acad Radiol. 2018 07; 25(7):869-876. PMID: 29373211.
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  15. Yanagawa M, Johkoh T, Noguchi M, Morii E, Shintani Y, Okumura M, Hata A, Fujiwara M, Honda O, Tomiyama N. Radiological prediction of tumor invasiveness of lung adenocarcinoma on thin-section CT. Medicine (Baltimore). 2017 Mar; 96(11):e6331. PMID: 28296757.
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  16. Yanagawa M, Morii E, Hata A, Fujiwara M, Gyobu T, Ueda K, Honda O, Tomiyama N. Dual-energy dynamic CT of lung adenocarcinoma: correlation of iodine uptake with tumor gene expression. Eur J Radiol. 2016 Aug; 85(8):1407-13. PMID: 27423680.
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  17. Hata A, Yanagawa M, Honda O, Gyobu T, Ueda K, Tomiyama N. Submillisievert CT using model-based iterative reconstruction with lung-specific setting: An initial phantom study. Eur Radiol. 2016 Dec; 26(12):4457-4464. PMID: 26988356.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.