YUKO NAKAMURA

Last Updated :2025/04/03

Affiliations, Positions
Graduate School of Biomedical and Health Sciences(Medicine), Associate Professor
E-mail
yukonhiroshima-u.ac.jp
Self-introduction
Abdominal diagnostic imaging (CT and MRI)

Basic Information

Educational Backgrounds

  • Hiroshima University, Graduate School of Biomedical Sciences, Japan, 2010/04, 2013/03
  • Hiroshima University, School of Medicine , Japan, 1997/04, 2003/03

Academic Degrees

  • Hiroshima University

Educational Activity

Course in Charge

  1. 2025, Undergraduate Education, First Semester, Radiation Biology & Radiation Health Risk Sciences
  2. 2025, Undergraduate Education, Year, Clinical diagnosis and treatment I
  3. 2025, Undergraduate Education, Year, Clinical diagnosis and treatment II
  4. 2025, Undergraduate Education, Intensive, Practice of Medicine I
  5. 2025, Undergraduate Education, Intensive, Practice of Medicine II
  6. 2025, Graduate Education (Master's Program) , First Semester, Diagnostic Radiology
  7. 2025, Graduate Education (Doctoral Program) , First Semester, Advanced Seminar on Diagnostic Radiology
  8. 2025, Graduate Education (Doctoral Program) , Second Semester, Advanced Seminar on Diagnostic Radiology
  9. 2025, Graduate Education (Doctoral Program) , First Semester, Advanced Research on Diagnostic Radiology
  10. 2025, Graduate Education (Doctoral Program) , Second Semester, Advanced Research on Diagnostic Radiology
  11. 2025, Graduate Education (Doctoral Program) , First Semester, Initial Radiation Exposure, Internal Exposure, Epidemiology

Research Activities

Academic Papers

  1. Association of Hepatobiliary Phase of Gadoxetic-Acid-Enhanced MRI Imaging with Immune Microenvironment and Response to Atezolizumab Plus Bevacizumab Treatment, CANCERS, 15(17), 202309
    Link to Paper Search Results by DOI
  2. Deep Learning-based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases, RADIOLOGY-ARTIFICIAL INTELLIGENCE, 1(6), 201911
    Link to Paper Search Results by DOI
  3. Understanding CT imaging findings based on the underlying pathophysiology in patients with small bowel ischemia, JAPANESE JOURNAL OF RADIOLOGY, 41(4), 353-366, 202304
    Link to Paper Search Results by DOI
  4. Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT, SCIENTIFIC REPORTS, 13(1), 3636, 202303
    Link to Paper Search Results by DOI
  5. Iodine maps derived from sparse-view kV-switching dual-energy CT equipped with a deep learning reconstruction for diagnosis of hepatocellular carcinoma, SCIENTIFIC REPORTS, 13(1), 3603, 202303
    Link to Paper Search Results by DOI
  6. Global illumination rendering versus volume rendering for the forensic evaluation of stab wounds using computed tomography, SCIENTIFIC REPORTS, 12(1), 2452, 20220214
    Link to Paper Search Results by DOI
  7. Utility of Wavelet Denoising with Geometry Factor Weighting for Gadoxetic Acid-enhanced Hepatobiliary-phase MR Imaging, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 22(2), 241-252, 2023
    Link to Paper Search Results by DOI
  8. An introduction to photon-counting detector CT (PCD CT) for radiologists, JAPANESE JOURNAL OF RADIOLOGY, 41(3), 266-282, 202303
    Link to Paper Search Results by DOI
  9. Dual-energy CT: minimal essentials for radiologists, JAPANESE JOURNAL OF RADIOLOGY, 40(6), 547-559, 202206
    Link to Paper Search Results by DOI
  10. Triaging of COVID-19 patients using low dose chest CT: Incidence and factor analysis of lung involvement on CT images, JOURNAL OF INFECTION AND CHEMOTHERAPY, 28(6), 797-801, 202206
    Link to Paper Search Results by DOI
  11. Utility of Radial Scanning for the Identification of Arterial Hypervascularity of Hepatocellular Carcinoma on Gadoxetic Acid-Enhanced Magnetic Resonance Images, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 45(3), 359-366, 2021
    Link to Paper Search Results by DOI
  12. Direct vasodilation by transdermal administration of nitroglycerin: preliminary, randomized, placebo-controlled trial of nitroglycerin skin spray for premedication before artery puncture, JAPANESE JOURNAL OF RADIOLOGY, 30(4), 370-375, 201205
    Link to Paper Search Results by DOI
  13. Clinical Significance of the Transitional Phase at Gadoxetate Disodium-Enhanced Hepatic MRI for the Diagnosis of Hepatocellular Carcinoma: Preliminary Results, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 35(6), 723-727, 2011
    Link to Paper Search Results by DOI
  14. Detectability of hepatocellular carcinoma by gadoxetate disodium-enhanced hepatic MRI: Tumor-by-tumor analysis in explant livers, JOURNAL OF MAGNETIC RESONANCE IMAGING, 37(3), 684-691, 201303
    Link to Paper Search Results by DOI
  15. Effect of lapatinib on hepatic parenchymal enhancement on gadoxetate disodium (EOB)-enhanced MRI scans of the rat liver, JAPANESE JOURNAL OF RADIOLOGY, 31(6), 386-392, 201306
    Link to Paper Search Results by DOI
  16. Non-occlusive mesenteric ischemia (NOMI): utility of measuring the diameters of the superior mesenteric artery and superior mesenteric vein at multidetector CT, JAPANESE JOURNAL OF RADIOLOGY, 31(11), 737-743, 201311
    Link to Paper Search Results by DOI
  17. Multidetector Computed Tomography-Based Microstructural Analysis Reveals Reduced Bone Mineral Content and Trabecular Bone Changes in the Lumbar Spine after Transarterial Chemoembolization Therapy for Hepatocellular Carcinoma, PLOS ONE, 9(10), 20141016
    Link to Paper Search Results by DOI
  18. Lung cancer screening with ultra-low dose CT using full iterative reconstruction, JAPANESE JOURNAL OF RADIOLOGY, 35(4), 179-189, 201704
    Link to Paper Search Results by DOI
  19. Diffusion-weighted MR imaging of non-complicated hepatic cysts: Value of 3T computed diffusion-weighted imaging, EUROPEAN JOURNAL OF RADIOLOGY OPEN, 3, 138-144, 2016
    Link to Paper Search Results by DOI
  20. Functional image-guided stereotactic body radiation therapy planning for patients with hepatocellular carcinoma, MEDICAL DOSIMETRY, 42(2), 97-103, 2017
    Link to Paper Search Results by DOI
  21. CT fluoroscopy-guided percutaneous drainage: comparison of the one step and the Seldinger techniques, MINIMALLY INVASIVE THERAPY & ALLIED TECHNOLOGIES, 26(3), 162-167, 2017
    Link to Paper Search Results by DOI
  22. Nanodrug Delivery: Is the Enhanced Permeability and Retention Effect Sufficient for Curing Cancer?, Bioconjugate chemistry, 27(10), 2225-2238, 2016
  23. Radiation dose reduction at MDCT with iterative reconstruction for prenatal diagnosis of skeletal dysplasia: preliminary study using normal fetal specimens., AJR Am J Roentgenol, 203(6), 1249-1256, 2014
  24. Additional Value of Diffusion-weighted MRI to Gd-EOB-DTPA-enhanced Hepatic MRI for the Detection of Liver Metastasis: the Difference Depending on the Experience of the Radiologists., Hiroshima J Med Sci, 64(1-2), 15-21, 2015
  25. Glypican-3 targeted human heavy chain antibody as a drug carrier for hepatocellular carcinoma therapy., Mol Pharm, 12(6), 2151-2157, 2015
  26. Photoimmunotherapy Targeting EGFR Positive Triple Negative Breast Cancer: Optimizing the Conjugate-Light Regimen, PLoS One, 10(8), e0136829, 2015
  27. Clinical utility of gadoxetate disodium-enhanced hepatic MRI for stereotactic body radiotherapy of hepatocellular carcinoma, Jpn J Radiol, 33(10), 627-635, 2015
  28. Near infrared photoimmunotherapy prevents lung cancer metastases in a murine model, Oncotarget, 6(23), 19747-19758, 2015
  29. Impact of C4'-O-Alkyl Linker on in Vivo Pharmacokinetics of Near-Infrared Cyanine/Monoclonal Antibody Conjugates, Mol Pharm, 12(9), 3303-3311, 2015
  30. A new technique for noise reduction at coronary CT angiography with multi-phase data-averaging and non-rigid image registration, Eur Radiol, 25(1), 41-48, 2015
  31. The Optimal Body Size Index with Which to Determine Iodine Dose for Hepatic Dynamic CT: A Prospective Multicenter Study, Radiology, 278(3), 773-781, 2016
  32. Surgical tissue handling methods to optimize ex vivo fluorescence with the activatable optical probe gamma-glutamyl hydroxymethyl rhodamine green, Contrast media & molecular imaging, 11(6), 572-578, 2016
  33. Near-infrared photoimmunotherapy with galactosyl serum albumin in a model of diffuse peritoneal disseminated ovarian cancer, Oncotarget, 7(48), 79408-79416, 2016
  34. Improved micro-distribution of antibody-photon absorber conjugates after initial near infrared photoimmunotherapy (NIR-PIT), Journal of controlled release : official journal of the Controlled Release Society, 232, 1-8, 2016
  35. Near infrared photoimmunotherapy of B-cell lymphoma, Molecular oncology, 10(9), 1404-1414, 2016
  36. Near infrared photoimmunotherapy with an anti-mesothelin antibody, Oncotarget, 7(17), 23361-23369, 2016
  37. MR imaging biomarkers for evaluating therapeutic effects shortly after near infrared photoimmunotherapy, Oncotarget, 7(13), 17254-17264, 2016
  38. Dynamic fluorescent imaging with the activatable probe, gamma-glutamyl hydroxymethyl rhodamine green in the detection of peritoneal cancer metastases: Overcoming the problem of dilution when using a sprayable optical probe, Oncotarget, 7(32), 51124-51137, 2016
  39. Alterations of filopodia by near infrared photoimmunotherapy: evaluation with 3D low-coherent quantitative phase microscopy, Biomedical optics express, 7(7), 2738-2748, 2016
  40. Biochemical and Clinical Predictive Approach and Time Point Analysis of Hepatobiliary Phase Liver Enhancement on Gd-EOB-DTPA-enhanced MR Images: A Multicenter Study, Radiology, 281(2), 474-483, 2016
  41. Effect of charge localization on the in vivo optical imaging properties of near-infrared cyanine dye/monoclonal antibody conjugates, Molecular bioSystems, 12(10), 3046-3056, 2016
  42. Role of Fluorophore Charge on the In Vivo Optical Imaging Properties of Near-Infrared Cyanine Dye/Monoclonal Antibody Conjugates, Bioconjugate chemistry, 27(2), 404-413, 2016
  43. Spatially selective depletion of tumor-associated regulatory T cells with near-infrared photoimmunotherapy, Science translational medicine, 8(352), 352ra110, 2016
  44. Visualization of simulated small vessels on computed tomography using a model-based iterative reconstruction technique, Data in brief, 13, 437-43, 2017
  45. Imaging features of papillary renal cell carcinoma with cystic change-dominant appearance in the era of the 2016 WHO classification, Abdom Radiol (NY), 42(7), 1850-1856, 2017
  46. Near-Infrared Photoimmunotherapy Targeting Prostate Cancer with Prostate-Specific Membrane Antigen (PSMA) Antibody, Molecular cancer research, 15(9), 1153-1162, 2017
  47. Near infrared photoimmunotherapy with avelumab, an anti-programmed death-ligand 1 (PD-L1) antibody, Oncotarget, 8(5), 8807-8817, 2017
  48. A topically-sprayable, activatable fluorescent and retaining probe, SPiDER-betaGal for detecting cancer: Advantages of anchoring to cellular proteins after activation, Oncotarget, 8(24), 39512-39521, 2017
  49. Cerenkov Radiation-Induced Photoimmunotherapy with 18F-FDG, Journal of nuclear medicine, 58(9), 1395-1400, 2017
  50. Near Infrared Photoimmunotherapy in a Transgenic Mouse Model of Spontaneous Epidermal Growth Factor Receptor (EGFR)-expressing Lung Cancer, Mol Cancer Ther, 16(2), 408-414, 2017
  51. Characteristics of ovarian cancer detection by a near-infrared fluorescent probe activated by human NAD(P)H: quinone oxidoreductase isozyme 1 (hNQO1), Oncotarget, 2017
  52. Near-infrared photoimmunotherapy: a comparison of light dosing schedules, Oncotarget, 8(21), 35069-35075, 2017
  53. Immunogenic cancer cell death selectively induced by near infrared photoimmunotherapy initiates host tumor immunity, Oncotarget, 8(6), 10425-10436, 2017
  54. A Near-Infrared, Wavelength-Shiftable, Turn-on Fluorescent Probe for the Detection and Imaging of Cancer Tumor Cells, ACS Chem Biol, 12(4), 1121-1132, 2017
  55. Avoiding thermal injury during near-infrared photoimmunotherapy (NIR-PIT): the importance of NIR light power density, Oncotarget, 2017
  56. Syngeneic mouse models of oral cancer are effectively targeted by anti-CD44-based NIR-PIT, Molecular Cancer Research, 2017
  57. Hepatocellular carcinoma treated with sorafenib: Arterial tumor perfusion in dynamic contrast-enhanced CT as early imaging biomarkers for survival, EUROPEAN JOURNAL OF RADIOLOGY, 98, 41-49, 201801
    Link to Paper Search Results by DOI
  58. Imaging features of papillary renal cell carcinoma with cystic change-dominant appearance in the era of the 2016 WHO classification, ABDOMINAL RADIOLOGY, 42(7), 1850-1856, 201707
    Link to Paper Search Results by DOI
  59. Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 42(3), 373-379, 2018
    Link to Paper Search Results by DOI
  60. Anastomosing haemangioma with fatty changes in the perirenal space: a lesion mimicking liposarcoma, BJR CASE REPORTS, 4(2), 2018
    Link to Paper Search Results by DOI
  61. Tubulocystic renal cell carcinoma: a review of literature focused on radiological findings for differential diagnosis, ABDOMINAL RADIOLOGY, 43(7), 1540-1545, 201807
    Link to Paper Search Results by DOI
  62. Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists, RADIOGRAPHICS, 38(4), 1131-1144, 2018
    Link to Paper Search Results by DOI
  63. Improved differentiation between high- and low-grade gliomas by combining dual-energy CT analysis and perfusion CT, MEDICINE, 97(32), 201808
    Link to Paper Search Results by DOI
  64. Neointimal formation after carotid artery stenting: phantom and clinical evaluation of model-based iterative reconstruction (MBIR), EUROPEAN RADIOLOGY, 29(1), 161-167, 20190129
    Link to Paper Search Results by DOI
  65. Improvement of image quality at CT and MRI using deep learning, JAPANESE JOURNAL OF RADIOLOGY, 37(1), 73-80, 20190101
    Link to Paper Search Results by DOI
  66. Clinical application of radiation dose reduction at abdominal CT, EUROPEAN JOURNAL OF RADIOLOGY, 111, 68-75, 20190201
    Link to Paper Search Results by DOI
  67. Minimizing individual variations in arterial enhancement on coronary CT angiographs using "contrast enhancement optimizer": a prospective randomized single-center study, EUROPEAN RADIOLOGY, 29(6), 2998-3005, 201906
    Link to Paper Search Results by DOI
  68. Deep learning-based image restoration algorithm for coronary CT angiography, EUROPEAN RADIOLOGY, 29(10), 5322-5329, 201910
    Link to Paper Search Results by DOI
  69. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT, EUROPEAN RADIOLOGY, 29(11), 6163-6171, 20191101
    Link to Paper Search Results by DOI
  70. Clinical staging of upper urinary tract urothelial carcinoma for T staging: Review and pictorial essay, INTERNATIONAL JOURNAL OF UROLOGY, 26(11), 1024-1032, 201911
    Link to Paper Search Results by DOI
  71. Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics, ACADEMIC RADIOLOGY, 27(1), 82-87, 20200101
    Link to Paper Search Results by DOI
  72. Improvement of Spatial Resolution on Coronary CT Angiography by Using Super-Resolution Deep Learning Reconstruction, ACADEMIC RADIOLOGY, 20230119
    Link to Paper Search Results by DOI
  73. Contrast Material Injection Protocol With the Dose Determined According to Lean Body Weight at Hepatic Dynamic Computed Tomography: Comparison Among Patients With Different Body Mass Indices, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 43(5), 736-740, 2019
    Link to Paper Search Results by DOI
  74. Preoperative PET-CT is useful for predicting recurrent extrahepatic metastasis of hepatocellular carcinoma after resection, EUROPEAN JOURNAL OF RADIOLOGY, 124, 20200301
    Link to Paper Search Results by DOI
  75. Pseudo-random Trajectory Scanning Suppresses Motion Artifacts on Gadoxetic Acid-enhanced Hepatobiliary-phase Magnetic Resonance Images, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 19(1), 21-28, 20200210
    Link to Paper Search Results by DOI
  76. ★, Deep learning-based CT image reconstruction: Initial evaluation targeting hypovascular hepatic metastases., Radiology: Artificial Intelligence, 1, e180011, 20191009
  77. Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality., J Comput Assist Tomogr, 44(2), 161-167, 20200301
  78. Gadoxetate disodium-related event during image acquisition: a prospective multi-institutional study for better MR practice., Eur Radiol, 30(1), 281-290, 2020
  79. Effect of contrast material injection duration on arterial enhancement at CT in patients with various cardiac indices: Analysis using computer simulation., PLoS One, 13(2), e0191347, 2018
  80. Clinical Indication for Computed Tomography During Hepatic Arteriography (CTHA) in Addition to Dynamic CT Studies to Identify Hypervascularity of Hepatocellular Carcinoma, Cardiovasc Intervent Radiol, 41(4), 618-627, 2018
  81. Diagnostic accuracy of in-stent restenosis using model-based iterative reconstruction at coronary CT angiography: initial experience, Br J Radiol, 91(1082), 20170598, 2018
  82. Diagnostic capability of gadoxetate disodium-enhanced liver MRI for diagnosis of hepatocellular carcinoma: comparison with multi-detector CT, Hiroshima J Med Sci, 62(3), 55-61, 2013
  83. Effects of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid on T2-weighted MRCP, Magn Reson Med Sci, 8(4), 143-148, 2009
  84. Stereotactic directional vacuum-assisted breast biopsy using lateral approach, Breast Cancer, 17(4), 286-289, 2010
  85. Development of a noise reduction filter algorithm for pediatric body images in multidetector CT, J Digit Imaging, 23(6), 806-818, 2010
  86. Evaluation of Early Therapeutic Effects after Near-Infrared Photoimmunotherapy (NIR-PIT) Using Luciferase-Luciferin Photon-Counting and Fluorescence Imaging, Mol Pharm, 14(12), 4628-4635, 2017
  87. Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 44(2), 161-167, 20200301
    Link to Paper Search Results by DOI
  88. Individual Optimization of Contrast Media Injection Protocol at Hepatic Dynamic Computed Tomography Using Patient-Specific Contrast Enhancement Optimizer, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 44(2), 230-235, 20200301
    Link to Paper Search Results by DOI
  89. Computer Simulation of the Effects of Contrast Protocols on Aortic Signal Intensity on Magnetic Resonance Angiograms, Curr Med Imaging, 2020
  90. Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography, Abdom Radiol (NY), 45(9), 2698-2704, 2020
  91. Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study., Eur J Radiol Open, 2020
  92. Demonstration of Human Fetal Bone Morphology with MR Imaging: A Preliminary Study, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 19(4), 310-317, 20201201
    Link to Paper Search Results by DOI
  93. Deep learning reconstruction of equilibrium phase CT images in obese patients, EUROPEAN JOURNAL OF RADIOLOGY, 133, 20201028
    Link to Paper Search Results by DOI
  94. Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT, EUROPEAN RADIOLOGY, 31(7), 4700-4709, 20210703
    Link to Paper Search Results by DOI
  95. Advanced CT techniques for assessing hepatocellular carcinoma, RADIOLOGIA MEDICA, 126(7), 925-935, 20210505
    Link to Paper Search Results by DOI
  96. Tumor heterogeneity evaluated by computed tomography detects muscle-invasive upper tract urothelial carcinoma that is associated with inflammatory tumor microenvironment, SCIENTIFIC REPORTS, 11(1), 20210709
    Link to Paper Search Results by DOI
  97. Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study, Neuroradiology, 20210630
  98. Incidence and factor analysis of laryngohyoid fractures in hanging individuals-computed tomography study, EUROPEAN RADIOLOGY, 31(10), 7827-7833, 202110
    Link to Paper Search Results by DOI
  99. Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study, NEURORADIOLOGY, 63(12), 2013-2021, 202112
    Link to Paper Search Results by DOI

Invited Lecture, Oral Presentation, Poster Presentation

  1. Capability of 3T MRI in the abdominal imaging, Yuko Nakamura, The 19th Asian Oceanian Congress of Radiology, 2021, With Invitation, English, Asian Oceanian Congress of Radiology, Malaysia (Web)
  2. How to use deep learning to improve image quality, Yuko Nakamura, ECR2021, 2021, With Invitation, English, European Society of Radiology, web
  3. Evaluation of fatty liver disease using MRI: current status and future perspectives, Yuko Nakamura, The 48th JSMRM 2020, 2020/09/11, With Invitation, Japanese, JSMRM, Web (Iwate)
  4. Image characteristics of deep-learning-based rapid kV switching dual energy CT scans: A phantom study, Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fujioka C, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  5. Utility of iterative noise reduction for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging, Narita K, Nakamura Y, Higaki T, Nishihara T, Bito Y, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  6. Utility of deep learning reconstruction of equilibrium phase images in obese patients, Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  7. Radiation dose reduction at abdominal ultra-high-resolution CT with deep learning reconstruction, Narita K, Nakamura Y, Higaki T, Akagi M, Honda Y, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  8. The clinical evaluation of the upper urinary tract cancer: what radiologists should know, Honda Y, Nakamura Y, Akagi M, Narita K, Higaki T, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  9. Basic physical information for radiologists wishing to fully utilize the capability of dual-energy CT, Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Honda Y, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web(Chicago)
  10. Systemic therapy for the treatment of hepatocellular carcinoma (HCC): what radiologists must know, Akagi M, Nakamura Y, Narita K, Honda Y, Iida M, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  11. Contrast enhancement protocol at CT: basics and advanced optimization using computer simulation, Higaki T, Matsumot Y, Tatsugami F, Nakamura Y, Fukumoto W, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  12. Maximization of the diagnostic ability of ultra-high-resolution CT: optimal scan parameters and image reconstruction techniques, Higaki T, Nakamura Y, Akagi M, Fukumot W, Tatsugami F, Awai K, RSNA2020, 2020, Without Invitation, English, RSNA, Web (Chicago)
  13. WHO classification of tumours 5th edition: Tumours of anal canal, Nakamura Y, Akagi M, Narita K, Honda Y, Iida M, Awai K, The 79th Annual Meeting of JRS, 2020, With Invitation, English, Japan radiological society, web
  14. Radiation dose optimization using automatic exposure control at rapid kV-switching dual-energy CT with deep learning technology: Feasibility study using a phantom, Higaki T, Nakamura Y, Tatsugami F, Honda Y, Fujioka C, Awai K, ECR2020, 2020, Without Invitation, English, ECR, Vienna
  15. Radiation dose reduction for coronary CT angiography using deep learning reconstruction: A phantom study, Higaki T, Tatsugami F, Nakamura Y, Fukumoto W, Fujioka C, Awai K, ECR2020, 2020, Without Invitation, English, ECR, Vienna
  16. Abdominal deep leaning spectral imaging: image quality of virtual monochromatic images in the equilibrium phase, Nakamura Y, Higaki T, Akagi M, Narita K, Honda Y, Taguchi H, Tsushima S, Awai K, ECR2020, 2020, Without Invitation, English, ECR, Vienna
  17. Utility of radial scan for identification of arterial hypervascularity of hepatocellular carcinoma on gadoxetic acid-enhanced MR images, Nakamura Y, Higaki T, Narita K, Akagi M, Matsubara Y, Nishihara T, Harada K, Takizawa M, Shirase R, Bito Y, Iida M, Awai K, ECR2020, 2020, Without Invitation, English, ECR, Vienna
  18. Improvement of image quality by using deep learning image reconstruction at coronary CT angiography performed with high-definition scan mode, Tatsugami F, Higaki T, Fukumoto W, Nakamura Y, Fujioka C, Iida M, Awai K, ECR2020, 2020, Without Invitation, English, ECR, Vienna
  19. Imaging features of cystic renal lesions in the era of the 2016 WHO classification, Honda Y, Nakamura Y, Narita K, Akagi M, Matsubara Y, Terada H, Kaichi Y, Awai K, RSNA2019, 2019, Without Invitation, English, RSNA, Chicago
  20. CT imaging of fetal skeletal anomalies at minimized radiation exposure: clinical significance, indications, and scan protocol, Matsubara Y, Tani C, Higaki T, Nakamura Y, Honda Y, Fukumoto W, Sakane H, Awai K, RSNA2019, 2019, Without Invitation, English, RSNA, Chicagl
  21. Estimation of minimal liver fibrosis using gadoxetic acid-enhanced liver MRI and machine learning, Narita K, Nakamura Y, Akagi M, Higaki T, Iida M, Awai K, RSNA2019, 2019, Without Invitation, English, RSNA, Chicago
  22. Capability of a new model-based Iterative reconstruction for brain CT to diagnose acute ischemic stroke: multicenter study, Mitani H, Tatsugami F, Higaki T, Prokop M, Ono C, Ono K, Fukumoto W, Nakamura Y, Awai K, RSNA2019, 2019, Without Invitation, English, RSNA, Chicago
  23. Comparison of emphysema scores on low and ultra-low radiation dose CT images using different reconstruction methods, Fukumoto W, Schreuder A, Lafebre S J, Higaki T, Prokop M, Nakamura Y, Awai K, RSNA2019, 2019, Without Invitation, English, RSNA, Chicago
  24. Dual-energy CT of the renal lesions, Mori T, Honda Y, Higaki T, Fujioka C, Nakamura Y, Terada H, Akagi M, Awai K, RSNA2019, 2019, Without Invitation, English, RSNA, Chicago
  25. Dual-energy computed tomography of renal lesions, Honda Y, Terada H, Higaki T, Fujioka C, Nakamura Y, Awai K, ECR2019, 2019, Without Invitation, English, ECR, Vienna
  26. Deep learning based reconstruction improves the image quality of abdominal ultra-high-resolution computed tomography scans, Utsunomiya K, Nakamura Y, Toru Higaki, Akagi M, Narita K, Zhou J, Zhou Y, Akino N, Awai K, ECR2019, 2019, Without Invitation, English, ECR, Vienna
  27. Accuracy of CT values on virtual monochromatic images of CZT-based Photon Counting Detector CT: comparison with dual-energy CT using energy integrating detector in a phantom model, Nakamura Y, Higaki T, Nishigaki M, Nakano S, Kondo S, Tatsugami F, Maeda S, Fonseca D.L.D, Awai K, ECR2024, 2024, Without Invitation, English, ECR, Vienna
  28. Improving the diagnostic image quality of abdominal CT with super-resolution deep-learning reconstruction: Initial clinical trial targeting hepatocellular carcinoma, Fonseca D.L.D, Nakamura Y, Kondo S, Higaki T, Matsuura M, Narita K, Maeda S, Tatsugami F, Awai K., ECR2024, 2024, Without Invitation, English, ECR, Vienna
  29. Utility of multi-energy mode of CZT-based Photon Counting Detector CT for coronary CT angiography: A structured phantom study, Higaki T, Tatsugami F, Nakamura Y, Nishigaki M, Nakano S, Awai K, ECR2024, 2024, Without Invitation, English, ECR, Vienna
  30. Radiation dose reduction in calcium volume measurement at cardiac CT using model-based iterative reconstruction: A phantom study, Tatsugami F, Higaki T, Nakamura Y, Iida M, Fujioka C, Awai K, ECR2019, 2019, Without Invitation, English, ECR, Vienna
  31. Feasibility of radiation dose reduction using a deep learning based reconstruction at coronary CT angiography, Tatsugami F, Higaki T, Nakamura Y, Fukumoto W, Ito Y, Tsushima S, Awai K, ECR2019, 2019, Without Invitation, English, ECR, Vienna
  32. Image noise reduction with deep learning-based CT image reconstruction, Higaki T, Nakamura Y, Tatsugami F, Akino N, Awai K, ECR2019, 2019, Without Invitation, English, ECR, Vienna
  33. Pseudo-random trajectory scan technique to suppress motion artifacts on gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance images, Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K, ECR2019, 2019, Without Invitation, English, ECR, Vienna
  34. 3 Tesla magnetic resonance imaging: Clinical capability of new applications for abdominal imaging, Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K, ECR2019, 2019, Without Invitation, English, ECR, Vienna
  35. Non-invasive evaluation of liver fibrosis using imaging technique: current problems and future perspective, Narita K, Nakamura Y, Higaki T, Akagi M, Iida M, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  36. Imaging physiology of contrast agent: Difference in pharmacokinetic and signal characteristics between gadolinium and iodine contrast agent, Higaki T, Nakamura Y, Tatsugami F, Honda Y, Iida M, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  37. Update of CT urography: current techniques, clinical utility, and new applications, Honda Y, Nakamura Y, Terada H, Higaki T, Fujioka C, Kiguchi M, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  38. Possibility of deep learning technique in medical imaging: Can deep learning improve image quality?, Nakamura Y, Higaki T, Yu Z, Zhou J, Akino N, Tatsugami F, Iida M, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  39. Super-resolution deep learning reconstruction at CT: a phantom study for coronary CT angiography, Higaki T, Tatsugami F, Matsuura M, Taguchi H, Tsushima S, Nakamura Y, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  40. Physical characteristics of a new photon-counting detector CT: comparison of the spatial resolution with that on conventional energy-integrated detector CT scans, Higaki T, Kondo S, Teramoto F, Tsuchida R, Takahashi I, Yoshida R, Goto T, Nakamura Y, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  41. Measurement of directional task-based modulation transfer function at abdominal CT: a phantom study, Higaki T, Yokomachi K, Fujioka C, Nishimaru E, Nakamura Y, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  42. Physical characteristics of a new photon-counting detector CT scanner: comparison of the contrast-to-noise ratio and the noise power spectrum with those on conventional energy-integrated detector CT, Higaki T, Kondo S, Yokoi K, Kojima S, Takahashi I, Aoki Y, Watanabe F, Nakamura Y, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  43. Multi-scale sampling method adapted for the detection of small hepatic lesions on gadoxetic acid-enhanced hepatobiliary phase MR images, Karasudani A, Yamaguchi T, Ishihara M, Nakamura Y, Higaki T, Awai K, RSNA2022, 2022, Without Invitation, English, RSNA, Chicago
  44. Various applications of deep learning-based reconstruction at CT: denoise, dual-energy CT, and super-resolution, Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Tsushima S, Taguchi H, Matsuura M, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  45. Deep learning based spectral CT imaging for quantifying contrast medium enhancement and washout in hepatocellular carcinomas: comparison of iodine maps and virtual monochromatic images, Narita K, Nakamura Y, Higaki T, Kondo S, Honda Y, Kawashita I, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  46. Easy introduction of the photon counting detector CT (PCD-CT) for radiologists, Kondo S, Higaki T, Nakamura Y, Takahashi I, Goto T, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  47. A new MRI technique for the detailed inspection of compact bone: phantom and preliminary clinical study, Sueoka T, Kawashita I, Higaki T, Honda Y, Nishihara T, Tatsugami F, Nakamura Y, Awai K, RSNA2021, 2021, Without Invitation, English, RSNA, Chicago
  48. A comparative study between our virtual reality endovascular simulator and a traditional simulator enaibling hands-on simulator, Mitani H, Honda Y, Kondo S, Fukumoto W, Nakamura Y, Chosa K, Awai K, CIRSE2022, 2022, Without Invitation, English, CIRSE, Barecelona, Spain / web (hybrid)
  49. Importance of larger reconstruction matrix sizes for super-resolution deep Learning reconstruction, Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Matsuura M, Awai K, RSNA2022, 2022, Without Invitation, English, RSNA, Chicago
  50. Utility of variable-rate contrast medium injection at computed tomography: A simulation study, Higaki T, Nakamura Y, Tatsugami F, Raytchev B, Kaneda K, Awai K, RSNA2022, 2022, Without Invitation, English, RSNA, Chicago
  51. Age estimation of unidentified cadavers using postmortem CT imaging, Fukumoto W , Kawashita I, Chosa K, Nakamura Y, Nagao M, Awai K, RSNA2022, 2022, Without Invitation, English, RSNA, Chicago
  52. Development of a deep learning method for age estimation of cadavers using postmortem vertebral CT images, Fukumoto W, Kawashita I, Nakamura Y, Chosa K, Nagao M, Awai K, RSNA2022, 2022, Without Invitation, English, RSNA, Chicago
  53. Training of interventional radiology procedures for medical students using virtual reality, Honda Y, Mitani H, Nakamura Y, Higaki T, Kawashita I, Kondo S, Narita K, Chosa K, Mihara N, Awai K, RSNA2022, 2022, Without Invitation, English, RSNA, Chicago
  54. Contrast enhancement at CT: Principles and clinical applications, Higaki T, Nakamura Y, Tatsugami F, Awai K., RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  55. Improving spatial resolution at coronary CT angiography on photon-counting detector CT: A structured phantom study, Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Akino N, Nakano S, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  56. Noise reduction at coronary CT angiography with photon-counting detector CT: A structured phantom study, Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Akino N, Nakano S, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  57. Training of interventional radiology procedures using virtual reality: current status and potential metaverse, Honda Y, Mitani H, Nakamura Y, Higaki T, Chosa K, Kawashita I, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  58. Coronary artery calcium volume measurement: A comparison between photon-counting CT and ultra-High-resolution CT using a cardiac CT calibration phantom, Tatsugami F, Higaki T, Kawashita I, Akino N, Nakamura Y, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  59. Fetal MRI to detect congenital anomalies of the kidney and urinary tract, Tani C, Nakaki Y, Tatsugami F, Honda Y, Nakamura Y, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  60. Practical approach to primary retroperitoneal tumors: Tips for an imaging diagnosis, Kondo S, Nakamura Y, Maeda S, Narita K, Fonseca D, Honda Y, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  61. Visualization of simulated small vessels on photon counting detector CT: comparison with energy integrating CT in a phantom model, Kondo S, Nakamura Y, Higaki T, Akino N, Tsushima S, Tatsugami F, Taguchi H, Maeda S, Narita K, Fonseca D, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  62. Utility of intracellular enhanced technique for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging, )Kondo S, Nakamura Y, Higaki T, Nishihara T, Bito Y, Honda Y, Maeda S, Fonseca D, Narita K, Takizawa M, Shirai T, Fujimori M, Ohara Y, Yoshizawa N, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  63. Computer-aided diagnosis for hepatic MRI: What is needed and expected?, Maeda S, Nakamura Y, Kondo S, Higaki T, Fonseca D, Narita K, Yamaguchi T, Ishihara M, Karasudani A, Oka A, Hasome Y, Miyazaki N, Takebe H, Baba T, Awai K, RSNA2023, 2023, Without Invitation, English, RSNA, Chicago
  64. Easy understanding of theory and image characteristics of the model-based iterative reconstruction at CT for radiologists: how does it work?, Higaki T, Tatsugami F, Nakamura Y, Fujioka C, Tsushima S, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  65. Accuracy of volume measurements of coronary calcification at CT using model-based iterative reconstruction: a phantom study, Higaki T, Tatsugami T, Fujioka C, Yokomachi K, Nakamura Y, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  66. Development a software which assists radiologists to determine optimal contrast material administration protocol at CT: Validation study using a computer simulation, Higaki T, Matsumoto Y, Masuda T, Nakamura Y, Tatsugami F, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  67. CT findings on hepatocellular carcinoma in patients with hepatitis C showing a sustained virologic response after interferon-free therapy: Comparison with that in patients with interferon-based therapy, Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Iida M, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  68. Demonstration of the fetal bone cortex on MRI Scans: Preliminary clinical study on normal fetal specimens, Matsubara Y, Tani C, Higaki T, Kamioka S, Nakamura Y, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  69. Improvement of diagnostic image quality of abdominal CT by using a deep-learning based reconstruction: Initial clinical trial targeting hypervascular hepatocellular carcinoma, Nakamura Y, Higaki T, Yu Z, Zhou J, Akino N, Ito Y, Nemoto T, Tatsugami F, Iida M, Awai K, RSNA2018, 2018, Without Invitation, English, RSNA, Chicago
  70. Comparison of fetal lung-to-liver signal intensity ratio (LLSIR) on 3T and 1.5T MRI scans, Tani C, Matsubara Y, Nakamura Y, Iida M, Awai K, ESPR2018, 2018, Without Invitation, English, Berlin, Germany
  71. Radiation dose reduction in CT using Deep Learning based Reconstruction (DLR): A phantom study, Higaki T, Nishimaru E, Nakamura Y, Tatsugami F, Yu Z, Zhou J, Verleker AP, Akino N, Awai K, ECR2018, 2018, Without Invitation, English, ECR, Vienna
  72. Possibility of deep learning technique in CT image reconstruction, Higaki T, Nakamura Y, Tatsugami F, Iida M, Yu Z, Zhou J, Akino N, Tsushima S, Awai K, ECR2018, 2018, Without Invitation, English, ECR, Vienna
  73. Improving image quality of low-dose abdominal CT by a deep learning reconstruction: Feasibility study using a liver phantom including simulated tumors, Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Nemoto T, Iida M, Awai K, ECR2018, 2018, Without Invitation, English, ECR, Vienna
  74. Improvement of diagnostic image quality of abdominal CT by using a deep learning based reconstruction: Initial clinical trial targeting hepatic metastases, Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Ito Y, Iida M, Awai K, ECR2018, 2018, Without Invitation, English, ECR, Vienna
  75. Embolization of common hepatic and left gastric arteries before distal pancreatectomy with celiac axis resection, Fuji T, Baba Y, Fukumoto E, Kajiwara K, Nakamura Y, Awai K, RSNA2017, 2017, Without Invitation, English, RSNA, Chicago
  76. Progress in the diagnosis of upper tract urothelial carcinoma: advances and remaining hurdles, Honda Y, Nakamura Y, Higaki T, Fuji T, Tanitame K, Awai K, RSNA2017, 2017, Without Invitation, English, RSNA, Chicago
  77. Essential knowledge about gadolinium contrast agents on magnetic resonance imaging to plan optimal contrast enhancement protocols: graphic demonstration using a computer simulation, Higaki T, Nakamura Y, Tatsugami F, Honda Y, Akiyama Y, Awai K, RSNA2017, 2017, Without Invitation, English, RSNA, Chicago
  78. A new quantitative index for the noise power spectrum at CT: correlation with subjective nodule detectability on CT images, Higaki T, Tatsugami F, Nakamura Y, Fujioka C, Tsushima S, Awai K, RSNA2017, 2017, Without Invitation, English, RSNA, Chicago
  79. Improvement of spatial resolution of CT using model-based iterative reconstruction on CT: a phantom study, Higaki T, Tatsugami F, Nakamura Y, Yokomachi K, Tsushima S, Awai K, RSNA2017, 2017, Without Invitation, English, RSNA, Chicago
  80. High-precision computed diffusion weighted images for the diagnosis of hepatocellular carcinoma, Akagi M, Nakamura Y, Higaki T, Iida M, Umeda M, Awai K, RSNA2017, 2017, Without Invitation, English, RSNA, Chicago
  81. Near infrared photoimmunotherapy for lung cancer in a transgenic mouse model evaluated by MRI, Nakamura Y, 25th Annual meeting and exhibition ISMRM 2017, 2017, Without Invitation, English, ISMRM, Honolulu
  82. The 2016 WHO classification of renal tumors: What do radiologists need to know?, Honda Y, Terada H, Nakamura Y, Tani C, Iida M, Awai K, ECR2017, 2017, Without Invitation, English, ECR, Vienna
  83. Hepatic perfusion CT yields early imaging biomarkers for treatment response of sorafenib on hepatocellular carcinoma, Nakamura Y, Higaki T, Fukumoto W, Fujioka C, Kiguchi M, Awai K, RSNA2016, 2016, Without Invitation, English, RSNA, Chicago
  84. Contrast material injection protocols at coronary CT angiorapraphy with short injection duration can yield sufficient arterial enhancement in wide range of cardiac output value: computer simulation study, Higaki T, Nakaura T, Kidoh M, Yuki H, Yamashita Y, Nakamura Y, Tatusgami F, Awai K, RSNA2016, 2016, Without Invitation, English, RSNA, Chicago
  85. Easy understanding of the technical aspects of computed diffusion-weighted Image (cDWI) for radiologis, Higaki T, Nakamura Y, Sakane H, Fukumoto W, Kassai Y, Awai K, RSNA2016, 2016, Without Invitation, English, RSNA, Chicago
  86. Involution of fiolopodia: An early pharmacodynamics marker of near infrared photoimmunotherapy, Nakamura Y, World Molecular Imaging Congress WMIC 2016, 2016, Without Invitation, English, New York
  87. Diffusion-weighted MR imaging after near infrared photoimmunotherapy in an animal model, Nakamura Y, World Molecular Imaging Congress WMIC 2016, 2016, Without Invitation, English, New York
  88. Early MRI findings after near infrared photoimmunotherapy in an animal model, Nakamura Y, 24th Annual meeting and exhibition ISMRM 2016, 2016, Without Invitation, English, ISMRM, Singapore
  89. Integration of computer-assisted detection into lung cancer screening with low-dose CT: Utility and pitfalls, Nishiki M, Higaki T, Nakamura Y, Awaya Y, Nomura Y, Awai K, RSNA2015, 2015, Without Invitation, English, RSNA, Chicago
  90. Easy understanding of the technical aspects of abdominal perfusion CT for radiologists, Higaki T, Nakamura Y, Fukumoto W, Kiguchi M, Iida M, Awai K, Honda Y, RSNA2015, 2015, Without Invitation, English, RSNA, Chicago
  91. Techniques to genetate high-accuraey computed diffusion- weighted images(cDWI)of the liver, Higaki T, Nakamura Y, Akiyama Y, Ohkubo T, Kasai Y, Awai K, RSNA2015, 2015, Without Invitation, English, RSNA, Chicago
  92. Ultra-low-dose chest CT for lung cancer screening using full iterative reconstruction: Feasibility study, Nishiki M, Higaki T, Awaya Y, Nakamura Y, Tsushima S, Awai K, Iida M, RSNA2015, 2015, Without Invitation, English, RSNA, Chicago
  93. Liver metastasis from colorectal cancer: What the radiologists must know to deliver the best treatment, Nakamura Y, Fukumoto W, Kaichi Y, Honda Y, Date S, Awai K, RSNA2014, 2014, Without Invitation, English, RSNA, Chicago
  94. Clinical utility and pitfalls of arterial spin labeling (ASL) in depressed patients, Kaichi Y, Higaki T, Tani C, Nakamura Y, Tatsugami F, Awai K, RSNA2014, 2014, Without Invitation, English, RSNA, Chicago
  95. Registration method for gadoxetate disodium-enhanced MR and radiation dose distribution maps using an extracted liver-region mask, Higaki T, Nakamura Y, Tatsugami F, Kimura T, Nagata Y, Awai K, RSNA2014, 2014, Without Invitation, English, RSNA, Chicago
  96. Demonstration of salivary flow from the parotid gland by MR imaging using time-spatial labeling inversion pulse (Time-SLIP) technique: feasibility study using normal volunteers. Demonstration of salivary flow from the parotid gland by MR imaging using time-spatial labeling inversion pulse (Time-SLIP) technique: feasibility study using normal volunteers, Fukumoto W, Higaki T, Nakamura Y, Iwakado Y, Okubo T, Awai K, Kaichi Y, Kajiwara K, RSNA2014, 2014, Without Invitation, English, RSNA, Chicago
  97. Regional cerebral blood flow in depression: Arterial spin labeling magnetic resonance study, Matsubara Y, Kaichi Y, Higaki T, Nakamura Y, Date S, Akiyama Y, Yamagami T, Awai K, Okamoto Y, Yamawaki S, ASNR 52nd Annual Meeting & The Foundation of the ASNR Symposium 2014, 2013, Without Invitation, English, ASNR, Montreal, Canada
  98. The differential diagnosis of perirenal space tumors requires integration of imaging and clinical findings: A systematic three-step approach, Nishiki M, Honda Y, Toyota N, Nakamura Y, Date S, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  99. Understanding the principle, image characteristics, and radiation dose of full- and hybrid iterative reconstruction (IR) at CT, Fukumoto W, Higaki T, Tatsugami F, Nakamura Y, Taniguchi A, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  100. A new distortion correction technique for computed diffusion weighted imaging (cDWI), Higaki T, Nakamura Y, Akiyama Y, Fukumoto W, Kamata M, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  101. The treatment response of hepatocellular carcinoma: evaluation with imaging biomarkers, Nakamura Y, Higaki T, Tasugami F, Date S, Taniguchi A, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  102. Diagnostic accuracy of the placenta accreta by non-contrast enhanced MR imaging, Nakamura Y, Toyota N, Date S, Honda Y, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  103. CT-based finite element modeling and microstructural analysis detect reduced bone mineral content and bone strength in the spine after CT fluoroscopy-guided interventional procedures, Takasu M, Nakamura Y, Komoto D, Ishikawa M, Kigushi M, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  104. Clinical utility of weighted liver spleen contrast using gadoxetate disodium-enhanced hepatic MRI: pre-evaluation of stereotactic body radiotherapy for hepatocellular carcinoma, Nakamura Y, Kimura T, Higaki T, Tatsugami F, Nagata Y, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  105. Radiation dose reduction at MDCT for the prenatal diagnosis of skeletal dysplasia, Tani C, Funama Y, Fujioka C, Honda Y, Nakamura Y, Awai K, RSNA2013, 2013, Without Invitation, English, RSNA, Chicago
  106. Regional cerebral blood flow in depression:Arterial spin labeling magnetic resonance study, Kaichi Y, Higaki T, Nakamura Y, Honda Y, Komoto D, Date S, Awai K, Akiyama Y, Okamoto Y, Yamawaki S, ASNR 51st annual meeting and foundation of the ASNR symposium 2013, 2013, Without Invitation, English, ASNR, San Diego
  107. Diagnostic capavility of multidetector CT for nonocclusive mesenteric ischemia(NOMI), Nakamura Y, Toyota N, Urashima M, Ono C, Date S, Awai K, The 4th Asian Congress of Abdominal Radiology, 2013, Without Invitation, English, ACAR, Taiwan
  108. The usefulness of diffusion-weighted imaging (DWI) and apparent diffusion coefficient(ADC) value for the diagnosis and the assessment of the therapeutic effect on autoimmune pancreatitis(AIP), Tanitame K, Nakamura Y, Kaichi Y, Tani C, Honda Y, Takasu M, Awai K, International Society for Magnetic Resonance Imaging, 20th Annual Meeting & Exhibition, 2012, Without Invitation, English, ISMRM, Melbourne
  109. Current radiation exposure at multidetector CT and radiation reduction in daily clinical practice, Honda Y, Tani C, Nakamura Y, Kaichi Y;Date S, Awai K, RSNA2012, 2012, Without Invitation, English, RSNA, Chicago, USA
  110. Volume body perfusion CT using a 320-detector CT scanner and non-rigid registration technique, Nakamura Y, Higaki T, Tatsugami F, Sato Y, Date S, Awai K, RSNA2012, 2012, Without Invitation, English, RSNA, Chicago, USA
  111. Understanding hepatic transporters for a better interpretation of gadoxetate disodium-enhanced MRI, Nakamura Y, Tani C, Honda Y, Komoto D, Date S, Awai K, RSNA2012, 2012, Without Invitation, English, RSNA, Chicago, USA
  112. Ocular MRI using fast MR sequences, small surface coils, and visual axis fixation: indications, technical considerations, and clinical utility, Tanitame K, Nakamura Y, Honda Y, Kaichi Y, Komoto D, Awai K, RSNA2012, 2012, Without Invitation, English, RSNA, Chicago, USA
  113. Diagnosis and assessment of the therapeutic Effect on autoimmune pancreatitis (AIP) using diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) Value, Tanitame K, Honda Y, Nakamura Y, Kaichi Y, Tani C, Awai K, RSNA2012, 2012, Without Invitation, English, RSNA, Chicago, USA
  114. Diagnostic ability of gadoxetate disodium-enhanced hepatic MRI for hepatocellular carcinoma: Tumor-by-tumor analysis in explant livers., Nakamura Y, Tashiro H, Nambu J, Kakizawa H, Date S, Awai K, RSNA2012, 2012, Without Invitation, English, RSNA, Chicago, USA
  115. Imaging findings of liver Parenchyma after stereotactic body radiotherapy for hepatocellular carcinoma: evaluation by gadoxetate disodium-enhanced hepatic MRI, Nakamura Y, Kimura T, Kaichi Y, Tatsugami F, Date S, Awai K, RSNA2012, 2012, Without Invitation, English, RSNA, Chicago, USA
  116. What is the optimal time to assess the therapeutic response of lung cancer on FDG-PET scans?, Komoto D, Tanitame K, Tani C, Nakamura Y, Date S, Awai K, RSNA2011, 2011, Without Invitation, English, RSNA, Chicago, USA
  117. Clinical Role of Multidetector CT (MDCT) in the prenatal diagnosis of skeletal dysplasia, Tani C, Honda Y, Nakamura Y, Tanitame K, Date S, Awai K, RSNA2011, 2011, Without Invitation, English, RSNA, Chicago, USA
  118. IgG4-related Autoimmune Pancreatitis: Differential Diagnosis and Treatment Evaluation Emphasizing the Role of Diffusion-weighted MR Imaging, Tanitame K, Kaichi Y, Honda Y, Nakamura Y, Date S, Awai K, RSNA2011, 2011, Without Invitation, English, RSNA, Chicago, USA
  119. Capability and pitfalls of hepatic dynamic MRI using Gd-EOB-DTPA in the diagnosis of hepatic SOLs, Nakamura Y, Toyota N, Komoto D, Kakizawa H, Date S, Awai K, RSNA2011, 2011, Without Invitation, English, RSNA, Chicago, USA
  120. Clinical significance of the transitional phase at gadoxetate disodium- enhanced hepatic MRI for the diagnosis of hepatocellular carcinoma, Nakamura Y, Tani C, Date S, Namimoto T, Yamashita Y, Awai K, RSNA2011, 2011, Without Invitation, English, RSNA, Chicago, USA
  121. Diagnosis of hepatocellular carcinoma using liver MRI, Yuko Nakamura, 2018/09/07, With Invitation, English
  122. Hepatic perfusion CT: Current status and future perspectives, ICRR2015, 2015/05, With Invitation, English

Awards

  1. 2021, JJR Excellent Reviewer Award in 2020, Japan Radiological Society
  2. 2019, JJR Excellent Reviewer Award in 2018, Japan Radiological Society
  3. 2012, Certificate of Merit, The radiological society of North America, Understanding Hepatic Transporters for a Better Interpretation of Gadoxetate Disodium-enhanced MRI

External Funds

Acceptance Results of Competitive Funds

  1. 2012
  2. 2023, 2025
  3. 2017
  4. KAKENHI(Grant-in-Aid for Young Scientists (B)), 2017, 2018

Social Activities

Other Social Contributions

  1. MSK MRI WORKSHOP SERIESES, Capability of 3T MRI in the abdominal imaging, FUJIFILM Healthcare Corporation, 2022/02/13, Lecturer, Lecture, Researchesrs
  2. The 19th Asian Oceanian Congress of Radiology, Capability of 3T MRI in the abdominal imaging, Asian Oceanian Congress of Radiology, 2021/07/01, 2021/07/04, web, Lecturer, Seminar or workshop
  3. ECR2021, How to use deep learning to improve image quality, ECR, 2021/03/03, 2021/03/07, web, Lecturer, Lecture, Researchesrs
  4. ICMRI2023, New Techniques for Improvement of Detectability of Hepatic Tumors on Gadoxetic Acid-Enhanced Hepatobiliary Phase MR Images, KSMRM, 2023/11/03, 2023/11/04, Korea, Lecturer, Lecture, Researchesrs