| 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 |
Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver
Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver
Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver
Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver
| Japan |
non-alcoholic fatty liver
| Hepato-biliary-pancreatic medicine |
Others
NO
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.
Efficacy
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.
Observational
| 20 | years-old | <= |
| 100 | years-old | >= |
Male and Female
(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.
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.
100
| 1st name | Naoya |
| Middle name | |
| Last name | Kato |
Chiba University Hospital
gastroenterology
260-8677
1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba
0432227171
unozawa.hidemi@chiba-u.jp
| 1st name | Hidemi |
| Middle name | |
| Last name | Unozawa |
Chiba University Hospital
gastroenterology
260-8677
1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba
0432227171
unozawa.hidemi@chiba-u.jp
Chiba university hospital
Non
Other
Chiba university hospital
1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba
043-222-7171
unozawa.hidemi@chiba-u.jp
NO
| 2024 | Year | 05 | Month | 01 | Day |
Unpublished
Enrolling by invitation
| 2022 | Year | 02 | Month | 11 | Day |
| 2022 | Year | 04 | Month | 21 | Day |
| 2022 | Year | 04 | Month | 01 | Day |
| 2026 | Year | 03 | Month | 31 | Day |
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
| 2024 | Year | 05 | Month | 01 | Day |
| 2025 | Year | 02 | Month | 17 | Day |
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 |
Value
https://center6.umin.ac.jp/ice/62025