町田洋一
Youichi MACHIDA, MD, PhD. (DBA candidate)
医師 医学博士
医療法人鉄蕉会 亀田総合病院 放射線科 部長/亀田京橋クリニック 診療部 部長
株式会社ハップ・インテリジェンス 代表取締役
埼玉県立春日部高等学校卒業
東京医科歯科大学医学部医学科卒業
同大学院医歯学総合研究科博士課程 修了
University of Information Technology and Management in Rzeszow 卒業見込
(Doctor of Business Administration: DBA)
【認定資格等】
● 医学
日本医学放射線学会 放射線診断専門医・研修指導者
日本乳がん検診精度管理中央機構 検診マンモグラフィ読影認定(ASランク)
日本乳癌学会 乳腺専門医・指導医
●データサイエンス、AI
Google Data Analytics Professional Certificate
日本ディープラーニング協会 G検定 (2023#2)
日本ディープラーニング協会 Generative AI Test (2024#1)
XR in Healthcare Education and Clinical Practice, Imperial College London
Artificial Intelligence in Healthcare: Fundamentals and Applications, MIT
Machine Learning with Python, IBM
●その他
UK Qualifi Level 7 Diploma in Strategic Management and Leadership
Behavioral Finance, Duke University
【主な業績】
著書
原著(すべて英文、peer reviewed papers)
1. Katayama T, Kubota K, Machida Y, Toriihara A, Shibuya H.Evaluation of sequential FDG-PET/CT for monitoring bone metastasis of breast cancer during therapy: correlation between morphological and metabolic changes with tumor markers. Ann Nucl Med. 2012 Jun;26(5):426-35.
2. Machida Y, Kubota K, Katayama T, Toriihara A, Shibuya H. Diagnostic performance of fluorodeoxyglucose-positron emission tomography/computed tomography combined with ultrasonography-guided fine needle aspiration cytology for identifying axillary lymph node status in patients with breast cancer. Eur J Surg Oncol. 2013 Jan;39(1):26-30
3. Fujioka T, Toriihara A, Kubota K, Machida Y, Nakamura S, Kishimoto S, Ohashi I, Shibuya H. Long-term follow-up using 18F-FDG PET/CT for postoperative olfactory neuroblastoma. Nucl Med Commun. 2014 Aug;35(8):857-63
4. Machida Y, Tozaki M, Yoshida T, Saita A, Yakabe M, Nii K. Feasibility study of a breast density measurement within a direct photon-counting mammography scanner system. Jpn J Radiol. 2014 Sep;32(9):561-7. Epub 2014 May 18.
5. Fujioka T, Toriihara A, Kubota K, Machida Y, Nakamura S, Kishimoto S, Ohashi I, Shibuya H. Long-term follow-up using 18F-FDG PET/CT for postoperative olfactory neuroblastoma. Nucl Med Commun. 2014 Aug;35(8):857-63.
6. Machida Y, Tozaki M, Shimauchi A, Yoshida T. Two Distinct Types of Linear Distribution in Nonmass Enhancement at Breast MR Imaging: Difference in Positive Predictive Value between Linear and Branching Patterns. Radiology. 2015 Sep;276(3):686-94.
7. Machida Y, Nakadate M. Breast Shape Change Associated with Aging: A Study Using Prone Breast Magnetic Resonance Imaging. Plast Reconstr Surg Glob Open. 2015 Jul 8;3(6):e413.
8. Shimauchi A, Ota H, Machida Y, Yoshida T, Satani N, Mori N, Takase K, Tozaki M.Morphology evaluation of nonmass enhancement on breast MRI: Effect of a three-step interpretation model for readers' performances and biopsy recommendations. Eur J Radiol. 2016 Feb;85(2):480-8.
9. Machida Y, Shimauchi A, Tozaki M, Kuroki Y, Yoshida T, Fukuma E. Descriptors of Malignant Non-mass Enhancement of Breast MRI: Their Correlation to the Presence of Invasion. Acad Radiol. 2016 Jun;23(6):687-95.
10. Machida Y, Saita A, Namba H, Fukuma E. Automated volumetric breast density estimation out of digital breast tomosynthesis data: feasibility study of a new software version. SpringerPlus. 2016 Jun 18;5(1):780.
11. Machida Y, Shimauchi A, Kuroki Y, Tozaki M, Kato Y, Hoshi K, Fukuma E. Single focus on breast magnetic resonance imaging: diagnosis based on kinetic pattern and patient age. Acta Radiol. 2017 Jun;58(6):652-659.
12. Machida Y, Shimauchi A, Kanemaki Y, Igarashi T, Harada M, Fukuma E. Feasibility and potential limitations of abbreviated breast MRI: an observer study using an enriched cohort. Breast Cancer. 2017 May;24(3):411-419.
13. Shimauchi A, Machida Y, Maeda I, Fukuma E, Hoshi K, Tozaki M. Breast MRI as a Problem-solving Study in the Evaluation of BI-RADS Categories 3 and 4 Microcalcifications: Is it Worth Performing? Acad Radiol. 2018 Mar;25(3):288-296.
14. Machida Y, Shimauchi A, Igarashi T, Hoshi K, Fukuma E. Preoperative breast MRI: reproducibility and significance of findings relevant to nipple-areolar complex involvement. Breast Cancer. 2018 Jul;25(4):456-463.
15. Machida Y, Shimauchi A, Okuma H, Tozaki M, Isobe S, Fukuma E. Shear Wave Speed of the Lesion in Preoperative Breast Ultrasonography: Association with Disease-free Survival of Patients with Primary Operable Invasive Breast Cancer. Acad Radiol. 2018 Aug;25(8):1003-1009.
16. Machida Y, Shimauchi A, Igarashi T, Fukuma E. MRI Findings After Cryoablation of Primary Breast Cancer Without Surgical Resection. Acad Radiol. 2019 Jun;26(6):744-751.
17. Machida Y, Nomura K, Shimauchi A, Kato Y, Nagatsuka M, Fukuma E. Diffusion-weighted imaging with simultaneous multi-slice echo-planar technique for the diagnosis of breast magnetic resonance imaging. Jpn J Radiol. 2020 Jan 14. doi: 10.1007/s11604-020-00919-3. [Epub ahead of print]
18. Terao T, Machida Y, Tsushima T, Miura D, Narita K, Kitadate A, Takeuchi M, Matsue K. Pre-treatment metabolic tumour volume and total lesion glycolysis are superior to conventional positron-emission tomography/computed tomography variables for outcome prediction in patients with newly diagnosed multiple myeloma in clinical practice.
Br J Haematol. 2020 Apr 6. doi: 10.1111/bjh.16633. Online ahead of print.
19. Kitadate A, Narita K, Fukumoto K, Terao T, Tsushima T, Kobayashi H, Abe Y, Miura D, Takeuchi M, Machida Y, Matsue K. Baseline total lesion glycolysis combined with interim positron emission tomography-computed tomography is a robust predictor of outcome in patients with peripheral T-cell lymphoma. Cancer Med. 2020 Jun 18. doi: 10.1002/cam4.3226. Online ahead of print.
20. Adachi, T, Machida, Y, Fukuma, E, Tateishi U. Fluorodeoxyglucose positron emission tomography/computed tomography findings after percutaneous cryoablation of early breast cancer. Cancer Imaging 20, 49 (2020). https://doi.org/10.1186/s40644-020-00325-y
21. Terao T, Machida Y, Tateishi U, et al. Association of loss of spleen visualization on whole-body diffusion-weighted imaging with prognosis and tumor burden in patients with multiple myeloma. Sci Rep. 2021 Dec 14;11(1):23978.
22. Terao T, Machida Y, Hirata K, et al.Prognostic Impact of Metabolic Heterogeneity in Patients With Newly Diagnosed Multiple Myeloma Using 18F-FDG PET/CT.Clin Nucl Med. 2021 Oct 1;46(10):790-796.
23. Terao T, Machida Y, Narita K, et al. Total diffusion volume in MRI vs. total lesion glycolysis in PET/CT for tumor volume evaluation of multiple myeloma. Eur Radiol. 2021 Aug;31(8):6136-6144. Epub 2021 Jan 26.
総説
1. Machida Y, Tozaki M, Shimauchi A, Yoshida T. Breast density: the trend in breast cancer screening. Breast Cancer. May;22(3):253-61.
報告
1. Machida Y, Takemoto A, Ban D, Yoshimoto T, Mihara M, Shibuya H. Adrenal cortical adenoma arising from an adrenohepatic union. Jpn J Radiol. 2013 Sep;31(9):623-6. doi: 10.1007/s11604-013-0211-y. Epub 2013 May 18.
冊子
1. 町田洋一、四元淳子乳がん 検診と診断 知っておきたいこと 平成26年6月 NPO法人乳がん画像診断ネットワーク テルモ株式会社
文部省科学研究費補助金採択課題
1. 町田洋一: 若手研究 乳癌ハイリスク群における乳房短縮MRIを用いた総合判定検診の有用性の検討 平成30年度~平成32年度 直接経費総額 3,000,000円
受賞
1. Genitourinary Best Case of the April-May 2012 course, American Institute for Radiological Pathology, 2012 April-May, Silver Spring, Maryland, USA
2. Breast Best Case of the April-May 2012 course, American Institute for Radiological Pathology, 2012 April-May, Silver Spring, Maryland, USA
3. 日本放射線科専門医会・医会 2012年ミッドサマーセミナー フィルムリーディング最優秀賞 卒後6年以上の部 平成24年7月 神戸
4. 第32回 日本画像医学会 フィルムリーディング優秀賞 平成25年2月 東京
5. Cum Laude. Youichi Machida, Mitsuhiro Tozaki, Akiko Shimauchi, Tamiko Yoshida, Yoshihide Kanemaki. You Will See It When You Know It: Clustered Ring Enhancement, A New Breast MRI BI-RADS Descriptor for Internal Enhancement Pattern of Non-mass Enhancement. Radiological Society of North America (RSNA) 2014. Chicago, USA. Nov.-Dec. 2014
6. Certificate of Merit. Youichi Machida, Mitsuhiro Tozaki, Akiko Shimauchi, Tamiko Yoshida, Yoshihide Kanemaki. Y Non-mass Lesion on Breast Ultrasound: Appearance and Significance Radiologists Should Know. Radiological Society of North America (RSNA) 2014. Chicago, USA. Nov.-Dec. 2014
7. Best Paper of The Year、平成28年 亀田医療大学ペーパーオブザイヤー 2017年3月
8. Paper of The Year(医師部門)、令和3年 亀田医療大学ペーパーオブザイヤー 2021年3月