kawashima hiroko 川島博子

… Alternative Names

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 / 仰臥位 / 超高解像度CT / ＭＲＩ / 深層学習 / 乳癌サブタイプ / Ki67 … More / 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 Less

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
2. 市川勝弘 (40402630)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

kawashima hiroko 川島 博子

Kawashima Hiroko 川島 博子

川島 博子 カワシマ ヒロコ

Research Projects

Research Products

Co-Researchers

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

Project Period (FY)

Research Category

Review Section

Research Institution

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

Project Period (FY)

Research Category

Review Section

Research Institution

Super hybrid analysis for the grade of breast cancer that combined diffusion MRI, contrast-enhanced MRI, and deep learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

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

Project Period (FY)

Research Category

Research Field

Research Institution

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

Author(s)

Journal Title

DOI

Data Source

[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)

Journal Title

DOI

Data Source

[Journal Article] Triexponential Diffusion Analysis of Diffusion-weighted Imaging for Breast Ductal Carcinoma <i>in Situ</i> and Invasive Ductal Carcinoma2021

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Long-term complications of radiotherapy after breast conservation therapy: investigation of factors affecting the protraction of image findings2019

Author(s)

Journal Title

NAID

Data Source

[Journal Article] 乳癌の診断と治療 腫瘤 -MRI-2019

Author(s)

Journal Title

Data Source

[Journal Article] Differentiation between phyllodes tumours and fibroadenomas using intravoxel incoherent motion magnetic resonance imaging: comparison with conventional diffusion-weighted imaging.2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Differentiation between luminal-A and luminal-B breast cancer using intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging2017

Author(s)

Journal Title

DOI

Data Source

[Presentation] Dual-Energy CT Evaluation of Axial Lymph Node Metastasis in Patients with Breast Cancer using Quantitative Parameters2021

Author(s)

Organizer

Data Source

[Presentation] The Radiomics Features of Dynamic Contrast Enhanced MRI, Relationship of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients2020

Author(s)

Organizer

Data Source

[Presentation] Comparison between two-dimensional synthesized mammography and original digital mammography regarding ability for mass depiction2019

Author(s)

Organizer

Data Source

[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

kawashima hiroko 川島博子

Kawashima Hiroko 川島博子

川島博子カワシマヒロコ

[Journal Article] 乳癌の診断と治療　腫瘤　-MRI-2019

[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