HONDA Osamu 本多修

… Alternative Names

本多修ホンダオサム

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Researcher Number	80324755
Other IDs
Affiliation (based on the past Project Information) *help	2018 – 2020: 大阪大学, 医学系研究科, 講師 2016: 大阪大学, 医学系研究科, 講師 2014 – 2015: 大阪大学, 医学(系)研究科(研究院), 講師 2007 – 2009: 大阪大学, 医学系研究科, 助教 2001: Osaka University Graduate school for medicine, Assistant Professor, 医学系研究科, 助手
Review Section/Research Field	Except Principal Investigator Basic Section 52040:Radiological sciences-related / Radiation science / Radiation science / Medical systems
Keywords	Except Principal Investigator 予後 / ニューラルネットワーク / 浸潤成分 / 病理組織診断 / 肺癌 / CT / 人工知能 / myocardial perfusion imaging / cardiac magnetic resonance imaging / echocardiographic contrast agent … More / susceptibility effect / T2短縮効果 / 微小気泡 / 心筋灌流 / 心筋潅流 / T1短縮効果 / T^<2*>短縮効果 / 超音波用微小気泡造影剤 / MRI / 心筋潅流画像 / 心臓MRI / 超音波造影剤 / RECIST / マルチスライスCT / ボリュームデータ / 三次元的体積測定法 / ＲＥＣＩＳＴ / マルチスライスＣＴ / 治療効果判定法 / 非小細胞肺癌 / 3次元画像解析 / 慢性間質性肺炎 / 喘息 / COPD / 全肺thin-section volume CT / リモデリング / 画像解析 / 肺リモデリング / バイオマーカー / 胸部CT Less

Establishment of artificial intelligence (deep learning) system for histological diagnosis and prediction of malignancy in lung cancer
- Principal Investigator
  
  Yanagawa Masahiro
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Osaka University
Biomarker and CT volumetry for the evaluation of NSCLC after chemotherapy
- Principal Investigator
  
  NORIYUKI TOMIYAMA
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Radiation science
- Research Institution
  Osaka University
Biomarkers for the evaluation of lung remodeling using CT volume data
- Principal Investigator
  
  TOMIYAMA Noriyuki
- Project Period (FY)
  2007 – 2009
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Medical systems
- Research Institution
  Osaka University
Possibility of intravenous micro-bubbles as MRI contrast media for myocardial perfusion
- Principal Investigator
  
  HAMADA Seiki
- Project Period (FY)
  1999 – 2001
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Radiation science
- Research Institution
  Osaka UNIVERSITY

All 2019 2018 2016 2015 2014 2009 2008 2007 Other

All Journal Article Presentation

[Journal Article] Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.2019
- Author(s)
  Yanagawa M, Niioka H, Hata A, Kikuchi N, Honda O, Kurakami H, Morii E, Noguchi M, Watanabe Y, Miyake J, Tomiyama N
- Journal Title
  
  Medicine (Baltimore)
  
  Volume: 98 Issue: 25 Pages: e16119-e16119
- DOI
  10.1097/md.0000000000016119
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07713
[Journal Article] Prognostic Importance of Volumetric Measurements in Stage I Lung Adenocarcinoma.2014
- Author(s)
  Yanagawa M, Tanaka Y, Leung AN, Morii E, Kusumoto M, Watanabe S, Watanabe H, Inoue M, Okumura M, Gyobu T, Ueda K, Honda O, Sumikawa H, Johkoh T, Tomiyama N.
- Journal Title
  
  Radiology
  
  Volume: 272 Pages: 557-67
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26461790
[Journal Article] Nonspecific interstitial pneumonia: histologic correlation with high-resolution CT in 29 patients.2009
- Author(s)
  Sumikawa H, Johkoh T, Ichikado K, Taniguchi H, Kondoh Y, Fujimoto K, Yanagawa M, Inoue A, Mihara N, Honda O, Tomiyama N, Nakamura H, Colby TV.
- Journal Title
  
  Eur J Radiol. 70
  
  Pages: 35-40
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19500421
[Journal Article] Computed tomography findings in pathological usual interstitial pneumonia: relationship to survival.2008
- Author(s)
  Sumikawa H, Johkoh T, Colby TV, Ichikado K, Suga M, Taniguchi H, Kondoh Y, Ogura T, Arakawa H, Fujimoto K, Inoue A, Mihara N, Honda O, Tomiyama N, Nakamura H, Muller NL.
- Journal Title
  
  Am. J. Respir.. Crit. Care. Med. 177
  
  Pages: 433-439
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19500421
[Journal Article] Pulmonary adenocarcinomas with ground-glass attenuation on thin-sectionCT: Quantification by three-dimensional image analyzing method.2007
- Author(s)
  Sumikawa H, Johkoh T, Nagareda T, Sekiguchi J, Matsuo K, Fujita Y, Natsag J, Inoue A, Mihara N, Honda O, Tomiyama N, Minami M, Okumura M, Nakamura H.
- Journal Title
  
  Eur. J. Radiol. 65
  
  Pages: 104-111
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19500421
[Journal Article] Volume histogram analysis for lung thin-section computed tomography: differentiation between usual interstitial pneumonia and nonspecific interstitial pneumonia.2007
- Author(s)
  Sumikawa H, Johkoh T, Yamamoto S, Oota M, Ueguchi T, Ogata Y, Matsumoto M, Fujita Y, Natsag J, Inoue A, Mihara N, Honda O, Tomiyama N, Nakamura H.
- Journal Title
  
  J. Comput. Assist. Tomogr. 31
  
  Pages: 936-942
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19500421
[Presentation] Prediction of Prognosis in Part-solid Ground-Glass Nodules using Deep Learning System: Validation Analyses of Prognostic Results by Automated Volumetric Analysis.2019
- Author(s)
  梁川雅弘、新岡宏彦、渡邉嘉之、本多修、秦明典、菊地紀子、宮田知、吉田悠里子、三宅淳、富山憲幸
- Organizer
  第78会日本医学放射線学会総会
- Data Source
  KAKENHI-PROJECT-18K07713
[Presentation] The Image Quality of the Newest Deep Learning Image Reconstruction on Chest CT.2019
- Author(s)
  Hata A, Yanagawa M, Yoshida Y, Miyata T, Kikuchi N, Honda O, Tomiyama N. The Image Quality of the Newest Deep Learning Image Reconstruction on Chest CT.
- Organizer
  Radiological Society of North America 105th Scientific Assembly and Annual Meeting.
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07713
[Presentation] The Combination of Deep Learning Based Denoising and Iterative Reconstruction on Ultra-Low-Dose Chest CT: Image Quality and Lung-RADS Evaluation.2019
- Author(s)
  Hata A, Yanagawa M, Yoshida Y, Miyata T, Kikuchi N, Tsubamoto M, Honda O, Tomiyama N.
- Organizer
  Radiological Society of North America 105th Scientific Assembly and Annual Meeting.
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07713
[Presentation] 人工知能（深層学習）を用いた肺癌の画像診断：上皮内腺癌（AIS）、微少潤性腺癌（MIA）、浸潤性腺癌（IVA）の鑑別2018
- Author(s)
  梁川雅弘、新岡宏彦、大東寛典、田川聖一、本多修、秦明典、菊地紀子、宮田知、三宅淳、富山憲幸
- Organizer
  第10回呼吸機能イメージング研究会学術集会
- Data Source
  KAKENHI-PROJECT-18K07713
[Presentation] Quantification of Pulmonary Nodule: Prediction of Malignancy and Prognosis.2016
- Author(s)
  Yanagawa M, Honda O, Kikuchi N, Hata A, Tomiyama N.
- Organizer
  Radiological Society of North America 102th Scientific Assembly and Annual Meeting.
- Place of Presentation
  Chicago, U.S.A.
- Year and Date
  2016-11-27
- Data Source
  KAKENHI-PROJECT-26461790
[Presentation] Radiological Prediction About Tumor Invasiveness of Lung Adenocarcinoma on High Resolution CT.2015
- Author(s)
  Yanagawa M, Johkoh T, Noguchi M, Morii E, Ueda K, Masada M, Gyobu T, Hata A, Honda O, Tomiyama N.
- Organizer
  Radiological Society of North America 101th Scientific Assembly and Annual Meeting.
- Place of Presentation
  Chicago, U.S.A.
- Year and Date
  2015-11-29
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26461790
[Presentation] アスペルギルス感染を合併した両側肺腺癌の一例2014
- Author(s)
  藤原万貴、坪井真悠子、日髙正二朗、上田賢、金澤達、梁川雅弘、本多修、南正人、森井英一、富山憲幸
- Organizer
  第28回胸部放射線研究会
- Place of Presentation
  神戸
- Year and Date
  2014-09-26
- Data Source
  KAKENHI-PROJECT-26461790
[Presentation] Pulmonary cysts, airway dimensions, respiratory functional abnormalities and prognosis; Quantitative analysis of volumetric CT data in 30 patients with lymphangioleiomyomatosis.2009
- Author(s)
  Tobino K, Johkoh T, Seyama K, Kurihara M, Kikuyama A, Yanagawa M, Inoue A, Sumikawa H, Honda O, Koyama M, Yoshida S, Tomiyama N, Takahashi K.
- Organizer
  Radiological Society of North America 95th Scientific Assembly and Annual Meeting (RSNA'09)
- Place of Presentation
  Chicago, Illinoi, U.S.A.
- Data Source
  KAKENHI-PROJECT-19500421
[Presentation] 肺のびまん性陰影におけるCTパターンのvolume histogramによる解析2008
- Author(s)
  澄川裕充, 上甲剛, 梁川雅弘, 大門皇寿, 井上敦夫, 本多修, 吉田重幸, 富山憲幸, 中村仁信
- Organizer
  第67回日本医学放射線学会学術発表会
- Place of Presentation
  横浜
- Year and Date
  2008-04-04
- Data Source
  KAKENHI-PROJECT-19500421
[Presentation] The latest Imaging Assessment for Anti-Tumor Therapy: therapeutic response for various tumors using PET/CT or PET/MRI.
- Author(s)
  Yanagawa M, Watabe T, Isohashi K, Honda O, Ueda K, Sumikawa H, Satoh Y, Kanazawa T, Hidaka S, Masada M, Hatazawa J, Tomiyama N.
- Organizer
  Radiological Society of North America 100th Scientific Assembly and Annual Meeting.
- Place of Presentation
  Chicago, U.S.A.
- Year and Date
  2014-11-30 – 2014-12-05
- Data Source
  KAKENHI-PROJECT-26461790
[Presentation] 肺腺癌新国際分類に基づいた肺結節内のCT値分布の定量解析
- Author(s)
  梁川雅弘、上甲剛、野口雅之、新谷康、奥村明之進、本多修、富山憲幸
- Organizer
  第55回日本肺癌学会学術集会　画像診断　教育講演2　肺縦隔
- Place of Presentation
  京都
- Year and Date
  2014-11-14 – 2014-11-15
- Data Source
  KAKENHI-PROJECT-26461790
[Presentation] Quantitative Evaluation of Tumor Invasiveness in Non-Mucinous Adenocarcinoma.
- Author(s)
  Yanagawa M, Johkoh T, Noguchi M, Morii E, Ueda K, Fujiwara M, Kanazawa T, Hidaka S, Honda O, Tomiyama N.
- Organizer
  The 15th Asian Oceanian Congress of Radiology.
- Place of Presentation
  Kobe, Japan
- Year and Date
  2014-09-24 – 2014-09-28
- Data Source
  KAKENHI-PROJECT-26461790
[Presentation] Approach to pulmonary nodule: Importance of follow up CT.
- Author(s)
  Honda O.
- Organizer
  SMC-Osaka University Radiology Forum.
- Place of Presentation
  Seoul, Korea
- Year and Date
  2014-11-08 – 2014-11-09
- Data Source
  KAKENHI-PROJECT-26461790
[Presentation] PET using H215O in non-small cell lung cancer: quantitative evaluation of antiangiogenic therapy effects.
- Author(s)
  Yanagawa M, Matsunaga K, Watabe H, Shimoegawa E, Fujino K, Kato H, Ueda K, Sato Y, Kanazawa T, Hidaka S, Sumikawa H, Honda O, Kijima T, Hatazawa J, Tomiyama N.
- Organizer
  The 73nd Annual Meeting of the Japan Radiological Society.
- Place of Presentation
  Yokohama, Japan
- Year and Date
  2014-04-10 – 2014-04-13
- Data Source
  KAKENHI-PROJECT-26461790

1. TOMIYAMA Noriyuki (50294070)

# of Collaborated Projects: 4 results

# of Collaborated Products: 19 results
2. Yanagawa Masahiro (00546872)

# of Collaborated Projects: 2 results

# of Collaborated Products: 13 results
3. OGATA Yuji (60281127)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
4. HAMADA Seiki (80198803)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. JOHKOH Takeshi (20263270)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. NAITO Hiroaki (60217627)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 新岡宏彦 (70552074)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
8. 三宅淳 (70344174)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results

HONDA Osamu 本多 修

本多 修 ホンダ オサム

Research Projects

Research Products

Co-Researchers

Establishment of artificial intelligence (deep learning) system for histological diagnosis and prediction of malignancy in lung cancer

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Biomarker and CT volumetry for the evaluation of NSCLC after chemotherapy

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Biomarkers for the evaluation of lung remodeling using CT volume data

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Possibility of intravenous micro-bubbles as MRI contrast media for myocardial perfusion

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Prognostic Importance of Volumetric Measurements in Stage I Lung Adenocarcinoma.2014

Author(s)

Journal Title

Data Source

[Journal Article] Nonspecific interstitial pneumonia: histologic correlation with high-resolution CT in 29 patients.2009

Author(s)

Journal Title

Data Source

[Journal Article] Computed tomography findings in pathological usual interstitial pneumonia: relationship to survival.2008

Author(s)

Journal Title

Data Source

[Journal Article] Pulmonary adenocarcinomas with ground-glass attenuation on thin-sectionCT: Quantification by three-dimensional image analyzing method.2007

Author(s)

Journal Title

Data Source

[Journal Article] Volume histogram analysis for lung thin-section computed tomography: differentiation between usual interstitial pneumonia and nonspecific interstitial pneumonia.2007

Author(s)

Journal Title

Data Source

[Presentation] Prediction of Prognosis in Part-solid Ground-Glass Nodules using Deep Learning System: Validation Analyses of Prognostic Results by Automated Volumetric Analysis.2019

Author(s)

Organizer

Data Source

[Presentation] The Image Quality of the Newest Deep Learning Image Reconstruction on Chest CT.2019

Author(s)

Organizer

Data Source

[Presentation] The Combination of Deep Learning Based Denoising and Iterative Reconstruction on Ultra-Low-Dose Chest CT: Image Quality and Lung-RADS Evaluation.2019

Author(s)

Organizer

Data Source

[Presentation] 人工知能（深層学習）を用いた肺癌の画像診断：上皮内腺癌（AIS）、微少潤性腺癌（MIA）、浸潤性腺癌（IVA）の鑑別2018

Author(s)

Organizer

Data Source

[Presentation] Quantification of Pulmonary Nodule: Prediction of Malignancy and Prognosis.2016

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Radiological Prediction About Tumor Invasiveness of Lung Adenocarcinoma on High Resolution CT.2015

Author(s)

Organizer

Place of Presentation

HONDA Osamu 本多修

本多修ホンダオサム