UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000046992
Receipt number R000053590
Scientific Title Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images
Date of disclosure of the study information 2022/03/01
Last modified on 2022/02/24 15:18:53

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Basic information

Public title

Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images

Acronym

Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images

Scientific Title

Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images

Scientific Title:Acronym

Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images

Region

Japan


Condition

Condition

colorectal cancer

Classification by specialty

Gastroenterology Gastrointestinal surgery

Classification by malignancy

Malignancy

Genomic information

NO


Objectives

Narrative objectives1

System construction and evaluation of artificial intelligence-assisted prediction of lymph node metastasis in early-stage colorectal cancer using digital slide images

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for lymph node metastasis

Key secondary outcomes



Base

Study type

Others,meta-analysis etc


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

18 years-old <=

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

Surgical or endoscopically resected colon tumor

Key exclusion criteria

Cases with difficult pathological evaluation

Target sample size

100


Research contact person

Name of lead principal investigator

1st name Yuta
Middle name
Last name Kouyama

Organization

Showa University Northern Yokohama Hospital

Division name

Digestive Disease Center

Zip code

2248503

Address

35-1, Chigasakityuo, Tsuzuki-ku, Yokohama, Japan

TEL

045-949-7000

Email

kouyuta1101@yahoo.co.jp


Public contact

Name of contact person

1st name Yuta
Middle name
Last name Kouyama

Organization

Showa University Northern Yokohama Hospital

Division name

Digestive Disease Center

Zip code

2248503

Address

35-1, Chigasakityuo, Tsuzuki-ku, Yokohama, Japan

TEL

045-949-7000

Homepage URL


Email

kouyuta1101@yahoo.co.jp


Sponsor or person

Institute

Digestive Disease Center, Showa University Northern Yokohama Hospital

Institute

Department

Personal name



Funding Source

Organization

Self funding

Organization

Division

Category of Funding Organization

Self funding

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Showa University

Address

1-5-8, Hatanodai, Shinagawa-ku, Tokyo

Tel

03-3784-8000

Email

m-rinri@ofc.showa-u.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2022 Year 03 Month 01 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Open public recruiting

Date of protocol fixation

2021 Year 12 Month 01 Day

Date of IRB

2022 Year 01 Month 14 Day

Anticipated trial start date

2021 Year 12 Month 01 Day

Last follow-up date

2023 Year 12 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

Accumulating pathological preparation images, and constructing AI .


Management information

Registered date

2022 Year 02 Month 24 Day

Last modified on

2022 Year 02 Month 24 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000053590