Ichimasa Katsurou 一政克朗

… Alternative Names

一政克朗イチマサカツロウ

Ichimasa Katsuro 一政克朗

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Researcher Number	90595612
Other IDs
Affiliation (Current)	2025: 昭和医科大学, 医学部, 講師
Affiliation (based on the past Project Information) *help	2025: 昭和医科大学, 医学部, 講師 2022 – 2023: 昭和大学, 医学部, 講師 2017 – 2018: 昭和大学, 医学部, 助教
Review Section/Research Field	Principal Investigator Basic Section 55020:Digestive surgery-related / Gastroenterology
Keywords	Principal Investigator 大腸癌 / 人工知能 / 病理 / 癌 / 大腸T1癌 / リンパ節転移 / 転移 / 早期大腸癌

Establishment of a minimally invasive treatment strategy for early colorectal cancer utilizing artificial intelligence and digital pathologyPrincipal Investigator
- Principal Investigator
  
  一政克朗
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 55020:Digestive surgery-related
- Research Institution
  Showa Medical University
StageⅡ大腸癌の術後化学療法の必要性を判断する、人工知能システムの開発Principal Investigator
- Principal Investigator
  
  一政克朗
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 55020:Digestive surgery-related
- Research Institution
  Showa University
Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligencePrincipal Investigator
- Principal Investigator
  
  Ichimasa Katsuro
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Gastroenterology
- Research Institution
  Showa University

All 2024 2023 2022 2018 2017

All Journal Article Presentation

[Journal Article] Role of the artificial intelligence in the management of T1 colorectal cancer2024
- Author(s)
  Ichimasa Katsuro、Kudo Shin-ei、Misawa Masashi、Takashina Yuki、Yeoh Khay Guan、Miyachi Hideyuki
- Journal Title
  
  Digestive and Liver Disease
  
  Volume: - Issue: 7 Pages: 1144-1147
- DOI
  10.1016/j.dld.2024.01.202
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K16500
[Journal Article] Differentiation grade as a risk factor for lymph node metastasis in T1 colorectal cancer2023
- Author(s)
  Shiina Osamu、Kudo Shin‐ei、Ichimasa Katsuro、et al.
- Journal Title
  
  DEN Open
  
  Volume: 4 Issue: 1
- DOI
  10.1002/deo2.324
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K16500
[Journal Article] Endoscopic full-thickness resection for complex colorectal lesions ? what’s the next step?2022
- Author(s)
  Ichimasa Katsuro、Kudo Shin-ei、Koh Calvin Jianyi、Yeoh Khay Guan、Mori Yuichi
- Journal Title
  
  Scandinavian Journal of Gastroenterology
  
  Volume: 57 Issue: 12 Pages: 1531-1532
- DOI
  10.1080/00365521.2022.2089858
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K16500
[Journal Article] Which variable better predicts the risk of lymph node metastasis in <scp>T1</scp> colorectal cancer: Highest grade or predominant histological differentiation?2022
- Author(s)
  Ichimasa Katsuro、Kudo Shin‐ei、Yeoh Khay Guan
- Journal Title
  
  Digestive Endoscopy
  
  Volume: 34 Issue: 7 Pages: 1494-1494
- DOI
  10.1111/den.14422
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K16500
[Journal Article] “Pathologist-independent” strategy for T1 colorectal cancer after endoscopic resection2022
- Author(s)
  Ichimasa Katsuro、Kudo Shin-ei、Lee Jonathan Wei Jie、Yeoh Khay Guan
- Journal Title
  
  Journal of Gastroenterology
  
  Volume: 57 Issue: 10 Pages: 815-816
- DOI
  10.1007/s00535-022-01912-5
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K16500
[Journal Article] Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer2018
- Author(s)
  Katsuro Ichimasa, Shin-ei Kudo, Yuichi Mori, Masashi Misawa, Shingo Matsudaira, Yuta Kouyama, Toshiyuki Baba, Eiji Hidaka, Kunihiko Wakamura, Takemasa Hayashi, Toyoki Kudo, Tomoyuki Ishigaki, Yusuke Yagawa, Hiroki Nakamura, Kenichi Takeda, Amyn Haji, Shigeharu Hamatani, Kensaku Mori, Fumio Ishida, Hideyuki Miyachi
- Journal Title
  
  Endoscopy
  
  Volume: 50 Issue: 03 Pages: 230-240
- DOI
  10.1055/s-0043-122385
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15971, KAKENHI-PROJECT-17K15972
[Presentation] AIによる大腸T1癌リンパ節転移予測～ガイドラインを超える個別化治療への挑戦～2018
- Author(s)
  一政克朗
- Organizer
  大腸癌研究会
- Data Source
  KAKENHI-PROJECT-17K15972
[Presentation] 人工知能（AI）による大腸T1癌治療戦略正確なリンパ節転移予測への挑戦2018
- Author(s)
  一政克朗
- Organizer
  内視鏡学会総会
- Data Source
  KAKENHI-PROJECT-17K15972
[Presentation] Artificial intelligence can determine the need for additional surgery after endoscopic resection of t1 colorectal cancer: analysis based on big data for machine learning2018
- Author(s)
  Katsuro Ichimasa
- Organizer
  UEGW 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15972
[Presentation] Artificial intelligence is a powerful tool to determine the need for additional surgery after endoscopic resection of T1 colorectal cancer analysis based on a big data for machine learning2018
- Author(s)
  Katsuro Ichimasa
- Organizer
  DDW 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15972
[Presentation] AIによる大腸T1癌リンパ節転移予測～ガイドラインを超える個別化治療への挑戦～2018
- Author(s)
  一政克朗
- Organizer
  第88回大腸癌研究会
- Data Source
  KAKENHI-PROJECT-17K15972
[Presentation] 人工知能（AI）による大腸T1癌のリンパ節転移予測2017
- Author(s)
  一政克朗
- Organizer
  JDDW2017
- Data Source
  KAKENHI-PROJECT-17K15972
[Presentation] Artificial intelligence can accurately predict the presence of lymph node metastasis in pT1 colorectal cancers2017
- Author(s)
  一政克朗
- Organizer
  DDW2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15972
[Presentation] Artificial intelligence can predict the presence of lymph node metastasis in T1 colorectal cancer2017
- Author(s)
  一政克朗
- Organizer
  UEGW2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K15972

1. 三澤将史 (90459206)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. Mori Kensaku

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Ichimasa Katsurou 一政 克朗

一政 克朗 イチマサ カツロウ

Ichimasa Katsuro 一政 克朗

Research Projects

Research Products

Co-Researchers

Establishment of a minimally invasive treatment strategy for early colorectal cancer utilizing artificial intelligence and digital pathologyPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

StageⅡ大腸癌の術後化学療法の必要性を判断する、人工知能システムの開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Role of the artificial intelligence in the management of T1 colorectal cancer2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Differentiation grade as a risk factor for lymph node metastasis in T1 colorectal cancer2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Endoscopic full-thickness resection for complex colorectal lesions ? what’s the next step?2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Which variable better predicts the risk of lymph node metastasis in <scp>T1</scp> colorectal cancer: Highest grade or predominant histological differentiation?2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] “Pathologist-independent” strategy for T1 colorectal cancer after endoscopic resection2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] AIによる大腸T1癌リンパ節転移予測～ガイドラインを超える個別化治療への挑戦～2018

Author(s)

Organizer

Data Source

[Presentation] 人工知能（AI）による大腸T1癌治療戦略 正確なリンパ節転移予測への挑戦2018

Author(s)

Organizer

Data Source

[Presentation] Artificial intelligence can determine the need for additional surgery after endoscopic resection of t1 colorectal cancer: analysis based on big data for machine learning2018

Author(s)

Organizer

Data Source

[Presentation] Artificial intelligence is a powerful tool to determine the need for additional surgery after endoscopic resection of T1 colorectal cancer analysis based on a big data for machine learning2018

Author(s)

Organizer

Data Source

[Presentation] AIによる大腸T1癌リンパ節転移予測～ガイドラインを超える個別化治療への挑戦～2018

Author(s)

Organizer

Data Source

[Presentation] 人工知能（AI）による大腸T1癌のリンパ節転移予測2017

Author(s)

Organizer

Data Source

[Presentation] Artificial intelligence can accurately predict the presence of lymph node metastasis in pT1 colorectal cancers2017

Author(s)

Ichimasa Katsurou 一政克朗

一政克朗イチマサカツロウ

Ichimasa Katsuro 一政克朗

[Presentation] 人工知能（AI）による大腸T1癌治療戦略正確なリンパ節転移予測への挑戦2018