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kawashima hiroko  川島 博子

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Kawashima Hiroko  川島 博子

川島 博子  カワシマ ヒロコ

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Researcher Number 70293355
Other IDs
External Links
Affiliation (Current) 2025: 金沢大学, 保健学系, 教授
Affiliation (based on the past Project Information) *help 2025: 金沢大学, 保健学系, 教授
2017 – 2022: 金沢大学, 保健学系, 教授
1998 – 1999: 金沢大学, 医学部・附属病院, 助手
Review Section/Research Field
Principal Investigator
Basic Section 52040:Radiological sciences-related / Radiation science / Radiation science
Keywords
Principal Investigator
乳癌 / MRI / 悪性度 / 造影MRI / MRI / 深層学習 / 乳癌サブタイプ / Ki67 / triexponential解析 / 乳癌悪性度 / ディープラーニング / 拡散MRI / 脂肪抑制法
  • Research Projects

    (4 results)
  • Research Products

    (16 results)
  • Co-Researchers

    (1 People)
  •  微小乳癌を可視化する仰臥位対応超高解像度CTの臨床応用Principal Investigator

    • Principal Investigator
      川島 博子
    • Project Period (FY)
      2025 – 2029
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Kanazawa University
  •  Establishment of the new analytical method for the grade of breast cancer that combined MRI and deep learning: development to custom-made therapyPrincipal Investigator

    • Principal Investigator
      Kawashima Hiroko
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Kanazawa University
  •  Super hybrid analysis for the grade of breast cancer that combined diffusion MRI, contrast-enhanced MRI, and deep learningPrincipal Investigator

    • Principal Investigator
      Kawashima Hiroko
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Radiation science
    • Research Institution
      Kanazawa University
  •  脂肪抑制法の新手法を用いた乳腺の造影MRIの画質評価とその乳癌描出能に関する研究Principal Investigator

    • Principal Investigator
      川島 博子
    • Project Period (FY)
      1998 – 1999
    • Research Category
      Grant-in-Aid for Encouragement of Young Scientists (A)
    • Research Field
      Radiation science
    • Research Institution
      Kanazawa University

All 2022 2021 2020 2019 2018 2017

All Journal Article Presentation

  • [Journal Article] Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using radiomics of pretreatment dynamic contrast-enhanced MRI2022

    • Author(s)
      Yoshida K, Kawashima H, Kannon T, Tajima A, Ohno N, Terada K, Takamatsu A, Adachi H, Ohno M, Miyati T, Ishikawa S, Ikeda H, Gabata T
    • Journal Title

      Magnetic Resonance Imaging

      Volume: 92 Pages: 19-25

    • DOI

      10.1016/j.mri.2022.05.018

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K08017
  • [Journal Article] Predicting axillary lymph node metastasis in breast cancer using the similarity of quantitative dual-energy CT parameters between the primary lesion and axillary lymph node2022

    • Author(s)
      Terada K, Kawashima H, Yoneda N, Toshima F, Hirata M, Kobayashi S, Gabata T
    • Journal Title

      Jpn J Radiol

      Volume: 40 Issue: 12 Pages: 1271-1281

    • DOI

      10.1007/s11604-022-01316-8

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K08017
  • [Journal Article] Triexponential Diffusion Analysis of Diffusion-weighted Imaging for Breast Ductal Carcinoma <i>in Situ</i> and Invasive Ductal Carcinoma2021

    • Author(s)
      Ohno Masako、Ohno Naoki、Miyati Tosiaki、Kawashima Hiroko、Kozaka Kazuto、Matsuura Yukihiro、Gabata Toshifumi、Kobayashi Satoshi
    • Journal Title

      MRMS

      Volume: 20 Issue: 4 Pages: 396-403

    • DOI

      10.2463/mrms.mp.2020-0103

    • NAID

      130008123646

    • ISSN
      1347-3182, 1880-2206
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18KK0450, KAKENHI-PROJECT-20K08017
  • [Journal Article] Long-term complications of radiotherapy after breast conservation therapy: investigation of factors affecting the protraction of image findings2019

    • Author(s)
      Kuwabara N, Kawashima H
    • Journal Title

      Jpn J Med Ultrasonics

      Volume: 46 Pages: 63-69

    • NAID

      130007580187

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Journal Article] 乳癌の診断と治療 腫瘤 -MRI-2019

    • Author(s)
      川島博子
    • Journal Title

      臨床放射線

      Volume: 64 Pages: 363-372

    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Journal Article] Differentiation between phyllodes tumours and fibroadenomas using intravoxel incoherent motion magnetic resonance imaging: comparison with conventional diffusion-weighted imaging.2018

    • Author(s)
      Kawashima H, Miyati T, Ohno N, Ohno M, Inokuchi M, Ikeda H, Gabata T
    • Journal Title

      Br J Radiol.

      Volume: 91 Issue: 1084 Pages: 1084-1084

    • DOI

      10.1259/bjr.20170687

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Journal Article] Differentiation between luminal-A and luminal-B breast cancer using intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging2017

    • Author(s)
      Kawashima H, Miyati T, Ohno N, Ohno M, Inokuchi M, Ikeda H, Gabata T
    • Journal Title

      Acad Radiol

      Volume: 24 Issue: 12 Pages: 1575-1581

    • DOI

      10.1016/j.acra.2017.06.016

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K01500, KAKENHI-PROJECT-17K10394
  • [Presentation] Dual-Energy CT Evaluation of Axial Lymph Node Metastasis in Patients with Breast Cancer using Quantitative Parameters2021

    • Author(s)
      Terada K, Kawashima H, Yoneda N, Toshima F, Gabata T
    • Organizer
      第80回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-20K08017
  • [Presentation] The Radiomics Features of Dynamic Contrast Enhanced MRI, Relationship of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients2020

    • Author(s)
      Terada K, Kawashima H, Yoshida K, Ohno N, Ohno M, Adachi H
    • Organizer
      第79回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-20K08017
  • [Presentation] Comparison between two-dimensional synthesized mammography and original digital mammography regarding ability for mass depiction2019

    • Author(s)
      Kawashima H, Minehiro K, Hieda A, Ichikawa K
    • Organizer
      第78回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Presentation] 合成2Dマンモグラフィの腫瘤描出能の検討 -通常2Dマンモグラフィとの比較―2019

    • Author(s)
      川島博子
    • Organizer
      第27回日本乳癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Presentation] 乳腺良性疾患のMRI 診断2019

    • Author(s)
      川島博子
    • Organizer
      第47回日本磁気共鳴医学会大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Presentation] Differentiation between phyllodes tumors and fibroadenomas using intravoxel incoherent motion magnetic resonance imaging: comparison with conventional diffusion-weighted imaging2018

    • Author(s)
      Kawashima H, Miyati T, Ohno N, Ohno M, Inokuchi M, Ikeda H, Gabata T
    • Organizer
      第77回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Presentation] IVIMを用いた葉状腫瘍と線維腺腫の鑑別2018

    • Author(s)
      川島博子,井口雅史,池田博子
    • Organizer
      第26回日本乳癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Presentation] IVIM解析とダイナミックMRIを用いたルミナル乳癌の鑑別2017

    • Author(s)
      川島博子,井口雅史,池田博子
    • Organizer
      第25回日本乳癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-17K10394
  • [Presentation] Luminal-type breast cancer imaged by intravoxel incoherent motion and dynamic contrast-enhanced MR imaging: relation to the Ki-67 labeling index2017

    • Author(s)
      Kawashima H, Miyati T, Ohno N, Ohno M, Inokuchi M, Ikeda H, Gabata T
    • Organizer
      第76回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-17K10394
  • 1.  宮地 利明 (80324086)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 5 results

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