HATAKENAKA Masamitsu

写真a

Affiliation

School of Medicine, Department of Diagnostic Radiology

Job title

Professor
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Education 【 display / non-display 】

  • 1989
    -
    1993

    九州大学大学院   医学研究科   分子薬理学  

  • 1979
    -
    1985

    Kyushu University   School of Medicine   医学  

  • 　
    -
    1993

    Kyushu University   Graduate School, Division of Medicine   Molecular Pharmacology  

  • 　
    -
    1985

    Kyushu University   Faculty of Medicine  

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Research Experience 【 display / non-display 】

  • 2011
    -
    Now

    Sapporo Medical University   School of Medicine   教授

    教授

  • 2006
    -
    2011

    Kyushu University  

  • 2001
    -
    2006

    Kyushu University  

  • 2001
    　
    　

    - Lecturer, Kyushu University  

  • 1995
    -
    2001

    Research Associate, Kyushu University  

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Professional Memberships 【 display / non-display 】

  • 　
    　
    　

    ASTRO

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    日本放射線腫瘍学会

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    ARRS

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Research Areas 【 display / non-display 】

  • Life sciences   Radiology  

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Research Interests 【 display / non-display 】

  • 放射線科学

  • ADC

  • 消火器癌

  • 画像診断学

  • 筋肉

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Papers 【 display / non-display 】

  • Deep learning algorithm to detect fibrosing interstitial lung disease on chest radiographs.

    Hirotaka Nishikiori, Koji Kuronuma, Kenichi Hirota, Naoya Yama, Tomohiro Suzuki, Maki Onodera, Koichi Onodera, Kimiyuki Ikeda, Yuki Mori, Yuichiro Asai, Yuzo Takagi, Seiwa Honda, Hirofumi Ohnishi, Masamitsu Hatakenaka, Hiroki Takahashi, Hirofumi Chiba

    The European respiratory journal    2022.10  [International journal]

    　View Summary

    BACKGROUND: Antifibrotic therapies are available to treat chronic fibrosing interstitial lung diseases (CF-ILDs), including idiopathic pulmonary fibrosis. Early use of these treatments is recommended to slow deterioration of respiratory function and to prevent acute exacerbation. However, identifying patients in the early stages of CF-ILD using chest radiographs (CRs) is challenging. In this study, we developed and tested a deep learning algorithm to detect CF-ILD using CR images. METHOD: From the image archive of Sapporo Medical University Hospital, 653 CRs from 263 patients with CF-ILDs and 506 from 506 patients without CF-ILD were identified; 921 were used for deep learning and 238 were used for algorithm testing. The algorithm was designed to output a numerical score ranging from 0 to 1, representing the probability of CF-ILD. Using the testing dataset, the algorithm's capability to identify CF-ILD was compared with that of doctors. A second dataset, in which CF-ILD was confirmed using computed tomography images, was used to further evaluate the algorithm's performance. RESULTS: The area under the curve of the receiver operating characteristic curve, which indicates the algorithm's detection capability, was 0.979. Using a score cutoff of 0.267, the sensitivity and specificity of detection were 0.896 and 1.000, respectively. These data showed that the algorithm's performance was non-inferior to that of doctors, including pulmonologists and radiologists; performance was verified using the second dataset. CONCLUSIONS: We developed a deep learning algorithm to detect CF-ILDs using CR images. The algorithm's detection capability was non-inferior to that of doctors.

    DOI PubMed

  • Diagnosis of prosthetic joint infection at the hip using the standard uptake value of three-phase 99mTc-hydroxymethylene diphosphonate SPECT/CT

    Naoya Yama, Satoshi Nagoya, Shintaro Sugita, Masayuki Koyama, Masamitsu Hatakenaka

    Annals of Nuclear Medicine ( Springer Science and Business Media LLC )   2022.04

    DOI

  • DWI-related texture analysis for prostate cancer: differences in correlation with histological aggressiveness and data repeatability between peripheral and transition zones

    Chie Tsuruta, Kenji Hirata, Kohsuke Kudo, Naoya Masumori, Masamitsu Hatakenaka

    European Radiology Experimental ( Springer Science and Business Media LLC )  6 ( 1 )  2022.03

    DOI

  • Abnormal [18F]fluorodeoxyglucose accumulation to tori tubarius in IgG4-related disease

    Ken Nagahata, Masatoshi Kanda, Ryuta Kamekura, Masanari Sugawara, Naoya Yama, Chisako Suzuki, Kenichi Takano, Masamitsu Hatakenaka, Hiroki Takahashi

    Annals of Nuclear Medicine ( Springer Science and Business Media LLC )  36 ( 2 ) 200 - 207  2022.02  [Domestic journal]

    　View Summary

    OBJECTIVES: Tubarial glands (TGs) are recently refocused gland tissues localized near the tori tubarius in the nasopharynx and their clinical relevance is not clear yet. IgG4-related disease (IgG4-RD) is a progressive fibrosing condition and salivary glands are well-affected lesions. The aim of the present study is to examine [18F]fluorodeoxyglucose ([18F]FDG) accumulation to the tori tubarius in IgG4-related disease (IgG4-RD). METHODS: 48 patients with IgG4-RD who underwent positron emission tomography (PET) scanning with [18F]FDG were included and semi-quantitative analysis of [18F]FDG accumulation to tori tubarius was performed along with the clinical features and histopathological analysis. RESULTS: Of the 48 patients, abnormal [18F]FDG accumulation (metabolic tumour volume ≥ 1) to tori tubarius was observed in 15 (31.3%), all of whom had lesions in other head and neck glands. IgG4-RD patients with abnormal [18F]FDG accumulation to tori tubarius showed swollen nasopharyngeal walls around tori tubarius and forceps biopsy of the lesion revealed acinar cells and IgG4-positive plasma cells histologically. Abnormal [18F]FDG accumulation (maximum standard uptake value, metabolic tumour volume and total lesion glycolysis) to tori tubarius correlated with higher IgG4 and lower IgA serum concentrations. CONCLUSIONS: Abnormal [18F]FDG accumulation to tori tubarius can be observed in patients with IgG4-RD and the abnormal [18F]FDG accumulation to tori tubarius can be a clue of TG involvement in IgG4-RD.

    DOI PubMed

  • 胸部X線写真から間質性肺陰影を検出するAIソフトウェアの開発研究

    錦織 博貴, 千葉 弘文, 廣田 健一, 鈴木 朋浩, 本田 聖和, 山 直也, 池田 貴美之, 森 勇樹, 浅井 悠一郎, 大西 浩文, 畠中 正光, 高橋 弘毅

    日本呼吸器学会誌 ( (一社)日本呼吸器学会 )  10 ( 増刊 ) 184 - 184  2021.04

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Misc 【 display / non-display 】

  • IgG4関連尿細管間質性腎炎に対するMRI拡散強調像(DWI-b800)の有用性に関する検討

    雨池秀憲, 菅原正成, 神田真聡, 鈴木知佐子, 畠中正光, 高橋裕樹

    日本臨床免疫学会総会プログラム・抄録集   48th  2020

    J-GLOBAL

  • SPECT/CTにおけるセンチネルリンパ節集積部位とリンパ節転移についての検討

    島 宏彰, 九冨 五郎, 里見 蕗乃, 高丸 智子, 前田 豪樹, 鈴木 やすよ, 亀嶋 秀和, 大村 東生, 森 満, 畠中 正光, 長谷川 匡, 平田 公一

    日本乳癌学会総会プログラム抄録集 ( (一社)日本乳癌学会 )  22回   464 - 464  2014.07

  • 上咽頭癌に対する強度変調放射線治療 当院での治療成績

    北川 未央, 中田 健生, 坂田 耕一, 染谷 正則, 舘岡 邦彦, 堀 正和, 高木 克, 三浦 勝利, 畠中 正光

    Japanese Journal of Radiology ( (公社)日本医学放射線学会 )  32 ( Suppl. ) 5 - 5  2014.02

  • 当科の食道がんに対する放射線治療成績

    堀 正和, 中田 健生, 染谷 正則, 高木 克, 三浦 勝利, 北川 未央, 長谷川 智一, 坂田 耕一, 畠中 正光

    Japanese Journal of Radiology ( (公社)日本医学放射線学会 )  32 ( Suppl. ) 5 - 5  2014.02

  • 当院における中下咽頭癌IMRTの治療成績

    中田 健生, 北川 未央, 堀 正和, 長谷川 智一, 三浦 勝利, 染谷 正則, 舘岡 邦彦, 坂田 耕一, 畠中 正光

    Japanese Journal of Radiology ( (公社)日本医学放射線学会 )  32 ( Suppl. ) 5 - 5  2014.02

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Awards 【 display / non-display 】

  • JJR Excellent reviewer award

    2021.04   Japan Radiological Society  

  • Silver distinguished reviewer achevement

    2019.03   America Roentgen Ray Society  

  • Certificate

    2018   Japan Radiological Society  

    Winner： HATAKENAKA Masamitsu

  • Peer Review Certificate

    2017   European Society of Radiology  

    Winner： HATAKENAKA Masamitsu

  • Special distinguished Reviewer

    2016.05   ISMRM  

    Winner： HATAKENAKA Masamitsu

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Research Projects 【 display / non-display 】

  • 直腸癌の個別的リスク評価を目的とした人工知能MRI解析アルゴリズムの確立

    基盤研究(B)

    Project Year :

    2022.04
    -
    2025.03
     

    竹政 伊知朗, 渡辺 昌彦, 内藤 剛, 浜部 敦史, 奥谷 浩一, 石井 雅之, 畠中 正光, 森 正樹, 土岐 祐一郎, 江口 英利, 坂井 義治, 肥田 侯矢, 吉野 孝之, 沖 英次

  • Evaluation of rectal cancer aggressiveness based on conductivity imaging

    Grant-in-Aid for Scientific Research (C)

    Project Year :

    2018.04
    -
    2022.03
     

    畠中 正光, 山 直也, 小野寺 麻希, 杉田 真太朗, 西舘 敏彦

    　View Summary

    データの再現性に関して懸念があったので、現時点でデータ会で気が可能であるconductivity計算画像8症例のtexture analysisを行い、そのICCおよびその95％confidence interval(95%CI)をIVIM計算画像21例のパラメータ内最も再現性が高いと考えられているD値のICCおよびその95％CIと比較した。 Conductivityのminimum: ICC=0.752, 95%CI=0.219-0.944、25%:ICC=0.844, 95%CI=0.446-0.966, 50%: ICC=0.791, 95%CI=0.308-0.953, mean: ICC=0.745, 95%CI=0.204-0.942, 75%: ICC=0.554, 95%CI=-0.13-0.889, maximum: ICC=0.596, 95%CI=-0.069-0.902, skewness: ICC=-0.061, 95%CI=-0.673-0.625, kurtosis: ICC=0.035, 95%CI=-0.617-0.680に対し、D値のminimum: ICC=0.386, 95% CI=-0.048-0.700, 25%: ICC=0.709, 95%CI=0.405-0.873, 50%: ICC=0.829, 95%CI=0.624-0.928, mean: ICC=0.791, 95%CI=0.551-0.911, 75%: ICC=0.813, 95%CI=0.592-0.921, maximum: ICC=0.787, 95%CI=0.544-0.909, skewness: ICC=0.300, 95%CI=-0.144-0.647, kurtosis: ICC=0.636, 95%CI=0.288-0.837であった。

  • Establishment of early detection and treatment assessment of pulmonary hypertension by PC-cine MRI

    Grant-in-Aid for Scientific Research (C)

    Project Year :

    2016.04
    -
    2019.03
     

    Murayamma Sadayuki

    　View Summary

    Phase contrast MRI (PC-MRI) can determine pulmonary hemodynamics noninvasively. Pulmonary hypertension causes changes in pulmonary hemodynamics and is a factor for acute exacerbation and death in interstitial lung diseases (ILD). The purpose of this study was to determine the association between pulmonary hemodynamics measured by PC-MRI and episodes of acute exacerbations and death in patients with ILD related pulmonary hypertension. Reduction in right cardiac output, as detected by PC-MRI, was associated with acute exacerbation and increased mortality in ILD. MR examination to detect right ventricular dysfunction is useful for predicting the poor prognosis in fibrotic ILD patients, even if they are not combined with pulmonary hypertension.

  • Predicting treatment effect and prognosis by using IVIM

    Grant-in-Aid for Scientific Research (C)

    Project Year :

    2014
    -
    2016
     

    Hatakenaka Masmaitsu

    Authorship： Principal investigator

    　View Summary

    In total, 28 patients with head and neck cancer who were treated with (chemo)radiotherapy were enrolled in the present study. However, 8 patients were excluded due to poor image quality and/or inadequate clinical data. Further, patients with nasopharyngeal cancer were excluded because its D is lower and sensitive to chemoradiotherapy. Finally, 10 patients were statistically analyzed. The pre-treatment D value for 6 patients without recurrence was 0.640±0.168 mm2/s and that for 4 ones with recurrence was 0.921±0.204 mm2/s and statistically significant difference was observed (p<0.05). The ratio of D value increase at 10Gy was 0.350±0.533 without recurrence and 0.04±0.174 with recurrence but statistical significance was not observed. F(perfusion fraction) and D*(perfusion) derived from IVIM method show wide variation. Signal intensity at b=25 s/mm2 was lower than that at b=50 s/mm2 in some cases. Thus, F and D* were not analyzed.

  • MRI of locally advanced esophageal cancer: response evaluation to chemoradiotherapy

    Grant-in-Aid for Scientific Research (C)

    Project Year :

    2011
    -
    2013
     

    KIYOHISA Hiraka, TSURUMARU Daisuke, HONDA Hiroshi, MATSUO Yoshio, MIYASAKA Mitsutoshi, NISHIMUTA Yusuke, SASAKI Tomonari

    　View Summary

    In this study, we studied the image parameters to predict the therapeutic effect of radiotherapy/chemoradiotherapy for esophageal cancer. We had done research on the response evaluation using the barium swallow as a preliminary study, and the result was that the change in the percent esohpageal stenosis before and after treatment was correlated with the therapeutic response. Our main study was the response evaluation using the MRI including diffusion-weighted images. Of the 31 cases registered cases, treatment response were evaluated in 20 cases. There was no relationship between the treatment response and the MRI findings before and after treatment in the 10 cases that underwent the definitive chemoradiotherapy. Apparent diffusion coefficient (ADC) values and change of them were significantly associated with treatent response in the 10 cases that underwent preoperative chemoratiotherapy.

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Committee Memberships 【 display / non-display 】

  • 2015
    -
    Now

      幹事

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