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Global Center for Biomedical Science and Engineering

Publications: April 2020 – March 2021

International Collaborative Papers

  1. Nomura Y, Tanaka S, Wang J, Shirato H, Shimizu S, Xing L. Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning. Phys Med Biol. 2021;66(6):065029.
  2. Wu PH, Onodera Y, Giaccia AJ, Le QT, Shimizu S, Shirato H, Nam JM. Lysosomal trafficking mediated by Arl8b and BORC promotes invasion of cancer cells that survive radiation. Commun Biol. 2020;3(1):620.
  3. Nomura Y, Wang J, Shirato H, Shimizu S, Xing L. Fast spot-scanning proton dose calculation method with uncertainty quantification using a three-dimensional convolutional neural network. Phys Med Biol. 2020;65(21):215007.
  4. Nishioka S, Wu PH, Yakabe T, Giaccia AJ, Le QT, Aoyama H, Shimizu S, Shirato H, Onodera Y, Nam JM. Rab27b contributes to radioresistance and exerts a paracrine effect via epiregulin in glioblastoma. Neurooncol Adv. 2020;2(1):vdaa091.
  5. Takayanagi T, Uesaka T, Nakamura Y, Unlu MB, Kuriyama Y, Uesugi T, Ishi Y, Kudo N, Kobayashi M, Umegaki K, Tomioka S, Matsuura T. On-line range verification for proton beam therapy using spherical ionoacoustic waves with resonant frequency. Sci Rep. 2020 Nov 23;10(1):20385.
  6. Xu Q, Wang J, Shirato H, Xing L. Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction, arXiv:2010.09953 [physics.med-ph] 2020
  7. Nakajima K, Hamada K, Ito R, Yoshida Y, Sutherland K, Ishikawa M, Ozaki M, Shirato H, Hamada T. Stability of d-luciferin for bioluminescence to detect gene expression in freely moving mice for long durations. Luminescence. 2021;36(1):94-98.
  8. Hamada K, Oota A, Ito R, Kasahara S, Nakajima K, Kikuchi Y, Sutherland K, Ishikawa M, Shirato H, Ozaki M, Hamada T. Double recording system of Period1 gene expression rhythm in the olfactory bulb and liver in freely moving mouse. Biochem Biophys Res Commun. 2020;529(4):898-903.
  9. Sawamura D, Narita H, Hashimoto N, Nakagawa S, Hamaguchi H, Fujima N, Kudo K, Shirato H, Tha KK. Microstructural Alterations in Bipolar and Major Depressive Disorders: A Diffusion Kurtosis Imaging Study. J Magn Reson Imaging. 2020;52(4):1187-1196.
  10. Shimizu Y, Kudo K, Kameda H, Harada T, Fujima N, Toyonaga T, Tha KK, Shirato H. Prediction of Hypoxia in Brain Tumors Using a Multivariate Model Built from MR Imaging and 18F-Fluorodeoxyglucose Accumulation Data. Magn Reason Med Sci. 2020;19(3):227-234.
  11. Nomura Y, Xu Q, Peng H, Takao S, Shimizu S, Xing L, Shirato H. Modified Fast Adaptive Scatter kernel Superposition(mfASKS) Correction And Its Dosimetric Impact On CBCT-Based Proton Therapy Dose Calculation. Medical Physics. 47(1), January 2020
  12. Fujima N, Kameda H, Shimizu Y, Harada T, Tha KK, Yoneyama M, Kudo K. Utility of a diffusion-weighted arterial spin labeling (DW-ASL) technique for evaluating the progression of brain white matter lesions. Magn Reson Imaging. 2020 Jun; 69:81-87.
  13. Ito R, Hamada K, Kasahara S, Kikuchi Y, Nakajima K, Sutherland K, Shirato H, Ozaki M, Ishikawa M, Hamada T. Mouse period1 gene expression recording from olfactory bulb under free moving conditions with a portable optic fibre device. Luminescence. 2020;35(8):1248-1253.
  14. Fujima N、Kameda H、Shimizu Y、Harada T、Tha KK、Yoneyama M、Kudo KUtility of a diffusion-weighted arterial spin labeling (DW-ASL) technique for evaluating the progression of brain white matter lesions.Magn Reson Imaging. 2020 Jun; 69:81-87. doi: 10.1016/j.mri.2020.03.005. Epub 2020 Mar 23.
  15. Taguchi A, Shishido S, Ou Y, Ikebe M, Zeng T, Fang W, Murakami K, Ueda T, Yasojima N, Sato K, Tamura K, Sutherland K, Oki N, Chiba K, Minowa K, Uetani M, Kamishima T. Quantification of Joint Space Width Difference on Radiography Via Phase-Only Correlation (POC) Analysis: a Phantom Study Comparing with Various Tomographical Modalities Using Conventional Margin-Contouring. J Digit Imaging. 2021;34(1):96-104.
  16. Narisawa C, Sutherland K, Lu Y, Furusaki A, Sagawa A, Kamishima T. Validation of Fully Automatic Quantitative Software for Finger Joint Space Narrowing Progression for Rheumatoid Arthritis Patients. J Digit Imaging. 2020;33(6):1387-1392.
  17. Fujiwara K, Fang W, Okino T, Sutherland K, Furusaki A, Sagawa A, Kamishima T. Quick and accurate selection of hand images among radiographs from various body parts using deep learning.
    J Xray Sci Technol. 2020;28(6):1199-1206. doi: 10.3233/XST-200694. PMID: 32925161
  18. Kato K, Sutherland K, Tanaka Y, Kato M, Fukae J, Tanimura K, Kamishima T. Fully automatic quantitative software for assessment of minute finger joint space narrowing progression on radiographs: evaluation in rheumatoid arthritis patients with long-term sustained clinical low disease activity. Jpn J Radiol. 2020 ;38(10):979-986.
  19. Kwon J, Rajamahendiran RM, Virani NA, Kunjachan S, Snay E, Harlacher M, Myronakis M, Shimizu S, Shirato H, Czernuszewicz TJ, Gessner R, Berbeco R. Use of 3-D Contrast-Enhanced Ultrasound to Evaluate Tumor Microvasculature After Nanoparticle-Mediated Modulation. Ultrasound Med Biol. 2020;46(2):369-376.
  20. Tsoodol Z, Aikawa M, Ichinkhorloo D, Khishigjargal T, Norov E, Komori Y, Haba H, Takács S, Ditrói F, Szűcs Z, Production cross sections of 45Ti in the deuteron-induced reaction on 45Sc up to 24 MeV, Applied Radiation and Isotopes 168 (2021) 109448, http://dx.doi.org/10.1016/j.apradiso.2020.109448
  21. Takács S, Aikawa M, Haba H, Komori Y, Ditrói F, Szűcs Z, Saito M, Murata T, Sakaguchi M, Ukon N, Cross sections of alpha-particle induced reactions on natNi: Production of 67Cu, Nuclear Instruments and Methods in Physics Research Section B 479 (2020) 125, http://dx.doi.org/10.1016/j.nimb.2020.06.022
  22. Sun XH, Wang H, Otsu H, Sakurai H, Ahn DS, Aikawa M, Fukuda N, Isobe T, Kawakami S, Koyama S, Kubo T, Kubono S, Lorusso G, Maeda Y, Makinaga A, Momiyama S, Nakano K, Nakayama S, Niikura M, Shiga Y, Söderström PA, Suzuki H, Takeda H, Takeuchi S, Taniuchi R, Watanabe Y, Watanabe Y, Yamasaki H, Yang XF, Ye YL, Yoshida K, Spallation and fragmentation cross sections for 168 MeV/nucleon 136Xe ions on proton, deuteron, and carbon targets, Physical Review C 101 (2020) 064623, https://doi.org/10.1103/PhysRevC.101.064623
  23. Tsoodol Z, Aikawa M, Dagvadorj I, Khishigjargal T, Javkhlantugs N, Komori Y, Haba H, Production cross sections of 68Ga and radioactive by-products in deuteron-induced reactions on natural zinc, Applied Radiation and Isotopes 159 (2020) 109095, 2020年5月, https://doi.org/10.1016/j.apradiso.2020.109095
  24. Saito M, Aikawa M, Murata T, Komori Y, Haba H, Takács S, Ditrói F, Szűcs Z, Production cross sections of 169Yb by the proton-induced reaction on 169Tm, Nuclear Instruments and Methods in Physics Research Section B 471 (2020) 13, https://doi.org/10.1016/j.nimb.2020.03.019
  25. Zolbadral T, Aikawa M, Ichinkhorloo D, Tegshjargal K, Komori Y, Haba H, Takács S, Ditrói F, Szücs Z, Production cross sections of 45Ti via deuteron-induced reaction on 45Sc, Proceedings of the 2019 Symposium on Nuclear Data, 2020, 75, 2020年12月
  26. Saito M, Aikawa M, Murata T, Komori Y, Haba H, Takács S, Ditorói F, Szücs Z, Production of 169Yb by the proton-induced reaction on 169Tm, Proceedings of the 2019 Symposium on Nuclear Data, 2020, 79, 2020年12月
  27. Manabe O, Klein R, Katoh C, Magota K, deKemp RA, Naya M, Tamaki N, Yoshinaga K. Validation of regional myocardial blood flow quantification using three-dimensional PET with rubidium-82: repeatability and comparison with two-dimensional PET data acquisition. Nucl Med Commun. 2020 Aug;41(8):768-775.
  28. Prayongrat A, Srimaneekarn N, Srisawasdi S, Ito Y, Katoh N, Tamura M, Dekura Y, Toramatsu C, Chonlakiet Khorprasert C, Amornwichet N, Alisanant P, Hirata Y, Hayter A, Shirato H, Shimizu S, Kobashi K:Confidence interval assessing model in multivariable normal tissue complication probability for predicting radiation-induced liver disease in primary liver cancer. Journal of Radiation Research (in publish)  <2021 Jan, accepted>
  29. Hampe N, Katscher U, van den Berg CAT, Tha KK, Mandija S. Investigating the challenges and generalizability of deep learning brain conductivity mapping. Phys Med Biol. 2020 Jun 26;65(13):135001.
  30. Inanc MT, Demirkan I, Ceylan C, Ozkan A, Gundogdu O, Goreke U,Gurkan GU, Unlu MB, Quantifying the influences of radiation therapy on deformability of human red blood cells by dual-beam optical tweezers. RSC Advances 2021, accepted
  31. Algarawi M, Erkol H, Luk A, Ha S, Ünlü, MB, Gulsen G, Nouizi F. Resolving tissue chromophore concentration at MRI resolution using multi-wavelength photo-magnetic imaging. Biomedical Optics Express 11, no. 8 (2020): 4244-4254.
  32. Baba K, Kusumoto T, Okada S, Ogawara R, Kodaira S, Raffy Q, Barillon R, Ludwig N, Galindo C, Peaupardin P, Ishikawa M. Quantitative estimation of track segment yields of water radiolysis species under heavy ions around Bragg peak energies using Geant4-DNA, Sci Rep. 11(1):1524. doi: 10.1038/s41598-021-81215-6 (2021). [Corresponding author]
  33. Kazumata K, Tokairin K, Ito M, Uchino H, Sugiyama T, Kawabori M, Osanai T, Tha KK, Houkin K. Combined structural and diffusion tensor imaging detection of ischemic injury in moyamoya disease: relation to disease advancement and cerebral hypoperfusion. J Neurosurg. 2020 Apr 3:1-10.
  34. Fujima N, Andreu-Arasa VC, Onoue K, Weber PC, Hubbell RD, Setty BN, Sakai O. Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT. Eur Radiol. 2021 Jan 6. doi: 10.1007/s00330-020-07568-0.
  35. Onoue K, Fujima N, Andreu-Arasa VC, N Setty B, Qureshi MM, Sakai O. Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: Comparative CT analysis for their differentiation. Eur J Radiol. 2020 Nov;132:109310.
  36. Ito K, Takumi K, Meibom SK, Qureshi MM, Fujima N, Andreu-Arasa VC, Truong MT, Salama AR, Kaneda T, Sakai O. Risk assessment of osteoradionecrosis associated with periodontitis using 18F-FDG PET/CT. Eur J Radiol. 2020 Nov;132:109259. 
  37. Fujima N, Andreu-Arasa VC,Barest GD, Srinivasan A, Sakai O. Magnetic Resonance Spectroscopy of the Head and Neck: Principles, Applications, and  Neuroimaging Clin N Am. 2020 ;30(3):283-293.
  38. Fujima N, Andreu-Arasa VC, Meibom SK, Mercier GA, Salama AR, Truong MT, Sakai  Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma. Eur Radiol. 2020;30(11):6322-6330.
  39. Fujima N, Andreu-Arasa VC, Meibom SK, Mercier GA, Truong MT, Sakai O. Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study. Eur J Radiol. 2020;126:108936.
  40. Demirkan I, Yaprak G, Ceylan C, Algul E, Tomruk CO, Bilen B, and Unlu MB. Acoustic diagnosis of elastic properties of human tooth by 320 MHz scanning acoustic microscopy after radiotherapy treatment for head and neck cancer. Radiation Oncology 15 (2020): 1-10.
  41. Güzelçimen F, Tanören B, Çetinkaya C, Kaya MD, Efkere Hİ, Özen Y, Bingöl D, Unlu MB, et al. The effect of thickness on surface structure of rf sputtered TiO2 thin films by XPS, SEM/EDS, AFM and SAM. Vacuum 182 (2020): 109766.
  42. Altun B, Demirkan I, Isik EO, Kocaturk O, Unlu MB, Garipcan B. Acoustic impedance measurement of tissue mimicking materials by using scanning acoustic microscopy. Ultrasonics 110 (2021): 106274.
  43. Tsuneta S、Oyama-Manabe N、Kameda H、Harada T、Kato F、Smit EJ、Prokop M、Kudo KImprovement of image quality on low-dose dynamic myocardial perfusion computed tomography with a novel 4-dimensional similarity filter.Medicine (Baltimore). 2020 Jun 26;99(26):e20804. doi: 10.1097/MD.0000000000020804.
  44. Fujima N, Andreu-Arasa VC, Meibom SK, Mercier GA, Salama AR, Truong MT, Sakai O:Prediction of the Treatment Outcome using Machine Learning with FDG-PET Image-based Multiparametric Approach in Patients with Oral Cavity Squamous Cell Carcinoma. Clin Radiol. 2021. in press.
  45. Lee YH、Quek ST、Khong PL、Lee CS、Wu JS、Zhang L、Ng KH、Yang SO、Kudo K、Do KH、Kim SH、Chen DC、Cheng A、Leung JH、Chang YC、Hsu HH、Chan WP:Consensus survey on pre-procedural safety practices in radiological examinations: a multicenter study in seven Asian regions. Br J Radiol 2020 Sep;93(1113):20200082. doi: 10.1259/bjr.20200082. Epub 2020 Jul 2.
  46. Magota K, Numata N, Shinyama D, Katahata J, Munakata Y, Maniawski PJ, Kobayashi K, Manabe O, Hirata K, Tateishi U, Kudo K, Shiga T:Halo Artifacts of Indwelling Urinary Catheter by Inaccurate Scatter Correction in 18F-FDG PET/CT Imaging: Incidence Rate, Mechanism, and Solutions EJNMMI Phys. 2020 Nov 13;7(1):66. doi: 10.1186/s40658-020-00333-8.
  47. Li Z, Kitajima K, Hirata K, Togo R, Takenaka J, Miyoshi Y, Kudo K, Ogawa T, Haseyama M:Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer   EJNMMI Research volume 11, Article number: 10 (2021)

Other Original Papers – major paper only

Japanese Journals (including those in English)

  1. Yasuda K, Minatogawa H, Dekura Y, Takao S, Tamura M, Tsushima N, Suzuki T, Kano S, Mizumachi T, Mori T, Nishioka K, Shido M, Katoh N, Taguchi H, Fujima N, Onimaru R, Yokota I, Kobashi K, Shimizu S, Homma A, Shirato H, Aoyama H. Analysis of acute-phase toxicities of intensity-modulated proton therapy using a model-based approach in pharyngeal cancer patients. J Radiat Res. 2021;62(2):329-337.
  2. Yamada T, Takao S, Koyano H, Nihongi H, Fujii Y, Hirayama S, Miyamoto N, Matsuura T, Umegaki K, Katoh N, Yokota I, Shirato H, Shimizu S. Validation of dose distribution for liver tumors treated with real-time-image gated spot-scanning proton therapy by log data based dose reconstruction. J Radiat Res. Accepted.
  3. Nishio T, Nakamura M, Okamoto H, Kito S, Minemura T, Ozawa S, Kumazaki Y, Ishikawa M, Tohyama N, Kurooka M, Nakashima T, Shimizu H, Suzuki R, Ishikura S, Nishimura Y. An overview of the medical-physics-related verification system for radiotherapy multicenter clinical trials by the Medical Physics Working Group in the Japan Clinical Oncology Group–Radiation Therapy Study Group. Journal of Radiation Research, doi: 10.1093/jrr/rraa089 (2020)

Overseas Journals

  1. Kasamatsu K, Matsuura T, Tanaka S, Takao S, Miyamoto N, Nam JM, Shirato H, Shimizu S, Umegaki K. The impact of dose delivery time on biological effectiveness in proton irradiation with various biological parameters. Med Phys. 2020;47(9):4644-4655.
  2. Minatogawa H, Yasuda K, Dekura Y, Takao S, Matsuura T, Yoshimura T, Suzuki R, Yokota I, Fujima N, Onimaru R, Shimizu S, Aoyama H, Shirato H. Potential benefits of adaptive intensity-modulated proton therapy in nasopharyngeal carcinomas. J Appl Clin Med Phys. 2021;22(1):174-183.
  3. Yoshimura T, Shimizu S, Hashimoto T, Nishioka K, Katoh N, Taguchi H, Yasuda K, Matsuura T, Takao S, Tamura M, Tanaka S, Ito YM, Matsuo Y, Tamura H, Horita K, Umegaki K, Shirato H. Quantitative analysis of treatments using real-time image gated spot-scanning with synchrotron-based proton beam therapy system log data. J Appl Clin Med Phys. 2020;21(12):10-19.
  4. Nakamaru Y, Suzuki M, Kano S, Mizumachi T, Tsushima N, Suzuki T, Honma A, Nakazono A, Kimura S, Onimaru R, Yasuda K, Shirato H, Homma A. The role of endoscopic resection for selected patients with sinonasal squamous cell carcinoma. Auris Nasus Larynx. 2021;48(1):131-137.
  5. Miyata H, Osawa T, Abe T, Kikuchi H, Matsumoto R, Maruyama S, Nishioka K, Shimizu S, Hashimoto T, Shirato H, Shinohara N. The updated outcomes of bladder- preserving trimodal therapy using a real-time tumor-tracking radiotherapy system for patients with muscle-invasive bladder cancer. Jpn J Clin Oncol. 2020;50(5):609-616.
  6. Miyamoto N, Yokokawa K, Takao S, Matsuura T, Tanaka S, Shimizu S, Shirato H, Umegaki K. Dynamic gating window technique for the reduction of dosimetric error in respiratory-gated spot-scanning particle therapy: An initial phantom study using patient tumor trajectory data. J Appl Clin Med Phys. 2020 ;21(4):13-21.
  7. Morita R, Abo D, Sakuhara Y, Soyama T, Katoh N, Miyamoto N, Uchinami Y, Shimizu S, Shirato H, Kudo K. Percutaneous insertion of hepatic fiducial true- spherical markers for real-time adaptive radiotherapy. Minim Invasive Ther Allied Technol. 2020;29(6):334-343.
  8. Shibata Y, Yasui H, Higashikawa K, Kuge Y: Transferrin-based radiolabeled probe predicts the sensitivity of human renal cancer cell lines to ferroptosis inducer erastin. Biochem Biophys Rep. 2021; 26: 100957.
  9. Manabe O, Yamaguchi S, Hirata K, Kobayashi K, Kobayashi H, Terasaka S, Toyonaga T, Magota K, Kuge Y, Tamaki N, Shiga T, Kudo K: Preoperative Texture Analysis Using 11C-Methionine Positron Emission Tomography Predicts Survival after Surgery for Glioma. Diagnostics (Basel). 2021; 11(2): 189.
  10. Shimizu Y, Nakai Y, Watanabe H, Iikuni S, Ono M, Saji H, Kuge Y, Saga T, Nakamoto Y: Increased [18F]FMISO accumulation under hypoxia by multidrug-resistant protein 1 inhibitors. EJNMMI Res. 2021;11(1) :9.
  11. Tomaru U, Ito T, Ohmura Y, Higashikawa K, Miyajima S, Tomatsu R, Higashi T, Ishizu A, Kuge Y, Yoshioka M, Kasahara M: Decreased Proteasomal Function Induces Neuronal Loss and Memory Impairment. Am J Pathol. 2021; 191(1): 144-156.
  12. Yamasaki K, Zhao S, Nishimura M, Shimizu Y, Tamaki N, Takeda H, Kuge Y: Effects of feeding condition on the myocardial and hepatic accumulation of radioiodine-labeled BMIPP in mice. Ann Nucl Med. 2021: 35(1): 59-64.
  13. Nambu H, Takada S, Maekawa S, Matsumoto J, Kakutani N, Furihata T, Shirakawa R, Katayama T, Nakajima T, Yamanashi K, Obata Y, Nakano I, Tsuda M, Saito A, Fukushima A, Yokota T, Nio-Kobayashi J, Yasui H, Higashikawa K, Kuge Y, Anzai T, Sabe H, Kinugawa S: Inhibition of xanthine oxidase in the acute phase of myocardial infarction prevents skeletal muscle abnormalities and exercise intolerance. Cardiovasc Res. 2021; 117(3): 805-819.
  14. Oiwa Y, Oka K, Yasui H, Higashikawa K, Bono H, Kawamura Y, Miyawaki S, Watarai A, Kikusui T, Shimizu A, Okano H, Kuge Y, Kimura K, Okamatsu-Ogura Y, Miura K: Characterization of brown adipose tissue thermogenesis in the naked mole-rat (Heterocephalus glaber), a heterothermic mammal. Sci Rep. 2020; 10(1): 19488.
  15. Nishimoto Y, Nishio M, Nagashima S, Nakajima K, Ohira T, Nakai S, Nakase I, Higashikawa K, Kuge Y, Matsumoto A, Ogawa M, Kojima C: Association of Hydrophobic Carboxyl-Terminal Dendrimers with Lymph Node-Resident Lymphocytes. Polymers (Basel). 2020; 12(7): 1474.
  16. Watanabe S, Nishijima KI, Okamoto S, Magota K, Hirata K, Toyonaga T, Shiga T, Kuge Y, Tamaki N: Biodistribution and internal radiation dosimetry of a novel probe for thymidine phosphorylase imaging, [123I]IIMU, in healthy volunteers. Ann Nucl Med. 2020; 34(8): 595-599.
  17. Wang Z, Higashikawa K, Yasui H, Kuge Y, Ohno Y, Kihara A, Midori YA, Houkin K, Kawabori M: FTY720 Protects Against Ischemia-Reperfusion Injury by Preventing the Redistribution of Tight Junction Proteins and Decreases Inflammation in the Subacute Phase in an Experimental Stroke Model. Transl Stroke Res. 2020; 11(5): 1103-1116.
  18. Kobayashi K, Manabe O, Hirata K, Yamaguchi S, Kobayashi H, Terasaka S, Toyonaga T, Furuya S, Magota K, Kuge Y, Kudo K, Shiga T, Tamaki N: Influence of the scan timepoint when assessing hypoxia in 18F-fluoromisonidazole PET: Two versus four hours. Eur J Nucl Med Mol Imaging 2020; 47(8):1833-1842.
  19. Higashikawa K, Horiguchi S, Tarisawa M, Shibata Y, Ohkura K, Yasui H, Takeda H, Kuge Y: Preclinical investigation of potential use of thymidine phosphorylase-targeting tracer for diagnosis of nonalcoholic steatohepatitis. Nucl Med Biol. 2020; 82-83: 25-32.
  20. Ohnishi A, Ishizuka C, Tsubakihara K, Hirata Y: Statistical double Λ hypernuclear formation from Ξ- absorption at rest in light nuclei. PTEP. 2020(6):063D01.
  21. Sakaguchi M, Aikawa M, Saito M, Ukon N, Komori Y, Haba H, Activation cross section measurement of the deuteron-induced reaction on yttrium-89 for zirconium-89 production, Nuclear Instruments and Methods in Physics Research Section B 472 (2020) 59, https://doi.org/10.1016/j.nimb.2020.04.003
  22. Naya M, Aikawa T, Manabe O, Obara M, Koyanagawa K, Katoh C, Tamaki N. Elevated serum endothelin‑1 is an independent predictor of coronary microvascular dysfunction in non‑obstructive territories in patients with coronary artery disease. Heart and Vessels 2021, DOI 10.1007/s00380-020-01767-x
  23. Kawakami M, Hirata K, Furuya S, Kobayashi K, Sugimori H, Magota K, Katoh C. Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images. Front Med 2020. DOI 10.3389/fmed.2020.616746
  24. Habiba U, Hossain E, Yanagawa-Matsuda A, Chowdhury AFMA., Tsuda M, Zaman AU, Tanaka S, Higashino F. Cisplatin Relocalizes RNA Binding Protein HuR and Enhances the Oncolytic Activity of E4orf6 Deleted Adenovirus. Cancers 12, 809. doi: 10.3390/cancers12040809. (2020).
  25. Mikawa Y, Towfik Alam M, Hossain E, Yanagawa-Matsuda A, Kitamura T, Yasuda M, Habiba U, Ahmed I, Kitagawa Y, Shindoh M, Higashino F. Conditionally Replicative Adenovirus Controlled by the Stabilization System of AU-rich Elements Containing mRNA. Cancers 12, 1205; doi:10.3390/cancers12051205. (2020).
  26. Hossain E, Habiba U, Yanagawa-Matsuda A, Alam A, Ahmed I, Towfik Alam M, Yasuda M, Higashino F. Advantages of Using Paclitaxel in Combination with Oncolytic Adenovirus Utilizing RNA Destabilization Mechanism. Cancers 12, 1210; doi: 10.3390/cancers12051210. (2020).
  27. Ahmed I, Towfik Alam M, Yanagawa-Matsuda A, Hossain E, Kitamura T, Minowa K, Higashino F. Enhanced oncolytic activity of E4orf6-deficient adenovirus by facilitating nuclear export of HuR. Biochem. Biophys. Res. Commun. 529, 494-499 (2020).
  28. Hirayama S, Matsuura T, Yasuda K, Takao S, Fujii T, Miyamoto N, Umegaki K, Shimizu S. Difference in LET-based biological doses between IMPT optimization techniques: Robust and PTV-based optimizations. J Appl Clin Med Phys. Vol.21 No.4, pp.42-50. (2020)
  29. Matsuya Y, McMahon SJ, Butterworth KT, Naijo S, Nara I, Yachi Y, Saga R, Ishikawa M, Sato T, Date H, Prise KM., Oxygen enhancement ratios of cancer cells after exposure to intensity modulated x-ray fields: DNA damage and cell survival. Phys Med Biol., doi: 10.1088/1361-6560/abf011 (2021).
  30. Satoh Y, Kawamoto M, Kubota K, Murakami K, Hosono M, Senda M, Sasaki M, Momose T, Ito K, Okamura T, Oda K, Kuge Y, Sakurai M, Tateishi U, Fujibayashi Y, Magata Y, Yoshida T, Waki A, Kato K, Hashimoto T, Uchiyama M, Kinuya S, Higashi T, Magata Y, Machitori A, Maruno H, Minamimoto R, Yoshinaga K: Clinical practice guidelines for high-resolution breast PET, 2019 edition. Ann Nucl Med. 2021 Jan 25. doi: 10.1007/s12149-021-01582-y. Online ahead of print.

 

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