UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000054302
Receipt number R000062025
Scientific Title Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver
Date of disclosure of the study information 2024/05/01
Last modified on 2025/02/17 19:21:07

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Basic information

Public title

Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver

Acronym

Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver

Scientific Title

Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver

Scientific Title:Acronym

Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver

Region

Japan


Condition

Condition

non-alcoholic fatty liver

Classification by specialty

Hepato-biliary-pancreatic medicine

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

Liver fibrosis/fatty degeneration by conventional abdominal ultrasonography is easily dependent on the examiner's skill and lacks objectivity and reproducibility. In this study, we will compare the quantification of liver fibrosis and fatty acid in abdominal ultrasonography using an AI-assisted system with that of ultrasound elastography and liver fibrosis markers and that of MRI to determine whether it is possible to assess liver fibrosis and fatty acid more conveniently in daily clinical practice. We will verify whether the assessment of liver fibrosis and lipidosis can be made easier in routine clinical practice.

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Abdominal ultrasound and MRI examinations are performed after consent forms are obtained. Abdominal ultrasound qualitatively and quantitatively evaluates the degree of liver fibrosis and lipidosis, while MRI quantifies and evaluates the amount of fat in the liver.

Key secondary outcomes



Base

Study type

Observational


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

20 years-old <=

Age-upper limit

100 years-old >=

Gender

Male and Female

Key inclusion criteria

(1) Patients with liver disease or hepatic dysfunction
(2) Patients must be at least 20 years of age (regardless of gender).
(3) Patients must have been fully informed of the study and must have given written consent of their own free will.

Key exclusion criteria

1) Patients with tattoos or MRI-unsuitable metal in the body
2) Pregnant or lactating women, or patients who may be pregnant or intend to become pregnant (a pregnancy reaction test should be performed if pregnancy is suspected).
3) Patients with other conditions that may compromise patient safety in the conduct of the study or make it difficult to comply with the study protocol.

Target sample size

100


Research contact person

Name of lead principal investigator

1st name Naoya
Middle name
Last name Kato

Organization

Chiba University Hospital

Division name

gastroenterology

Zip code

260-8677

Address

1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba

TEL

0432227171

Email

unozawa.hidemi@chiba-u.jp


Public contact

Name of contact person

1st name Hidemi
Middle name
Last name Unozawa

Organization

Chiba University Hospital

Division name

gastroenterology

Zip code

260-8677

Address

1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba

TEL

0432227171

Homepage URL


Email

unozawa.hidemi@chiba-u.jp


Sponsor or person

Institute

Chiba university hospital

Institute

Department

Personal name



Funding Source

Organization

Non

Organization

Division

Category of Funding Organization

Other

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Chiba university hospital

Address

1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba

Tel

043-222-7171

Email

unozawa.hidemi@chiba-u.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

2024 Year 05 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

Enrolling by invitation

Date of protocol fixation

2022 Year 02 Month 11 Day

Date of IRB

2022 Year 04 Month 21 Day

Anticipated trial start date

2022 Year 04 Month 01 Day

Last follow-up date

2026 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

Carotid Artery Echocardiographic Evaluation of Plaque and Stenosis and Correlation with Fatty Liver
Prevalence of cardiovascular events in fatty liver patients
Evaluation of fibrosis by B-mode and correlation with ultrasound elastography and fibrosis markers


Management information

Registered date

2024 Year 05 Month 01 Day

Last modified on

2025 Year 02 Month 17 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000062025

Research Plan
Registered date File name
2025/05/30 20250530「非アルコール性脂肪肝患者における人工知能(AI)支援システムによる肝脂肪化・線維化診断に関する臨床試験」 (2).docx
Research case data specifications
Registered date File name
2025/05/30 20250530「非アルコール性脂肪肝患者における人工知能(AI)支援システムによる肝脂肪化・線維化診断に関する臨床試験」 (2).docx
Research case data
Registered date File name
2025/05/30 20250530 M10269 02_倫理研究実施(経過・終了)報告書.docx

Single case data URL

Value
https://center6.umin.ac.jp/ice/62025