Unique ID issued by UMIN | UMIN000041196 |
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Receipt number | R000047037 |
Scientific Title | Multicentral study for evaluating hepatic steatosis using Ultrasound-guided attenuation parameter (UGAP) by comparison with MRI-determined proton density fat fraction (PDFF) |
Date of disclosure of the study information | 2020/08/01 |
Last modified on | 2023/02/22 14:55:25 |
Multicentral study for evaluating hepatic steatosis using Ultrasound-guided attenuation parameter (UGAP) by comparison with MRI-determined proton density fat fraction (PDFF)
Ultrasound-guided attenuation parameter (UGAP) study
Multicentral study for evaluating hepatic steatosis using Ultrasound-guided attenuation parameter (UGAP) by comparison with MRI-determined proton density fat fraction (PDFF)
Ultrasound-guided attenuation parameter (UGAP) study
Japan |
Chronic liver disease
Hepato-biliary-pancreatic medicine | Radiology |
Others
NO
Evaluation of hepatic steatosis by UGAP
Efficacy
Confirmatory
Pragmatic
Not applicable
We assess the accuracy of UGAP in assessing hepatic steatosis compared to PDFF
We verify whether UGAP can diagnose fatty liver (liver fat content 5% or more)
Observational
20 | years-old | <= |
90 | years-old | >= |
Male and Female
1.Patients who underwent UGAP and PDFF within 3 months
2.Patients with chronic liver disease including viral hepatitis, NAFLD, autoimmune hepatitis, primary biliary cholangitis, and so on
3.Patients who can follow instructions such as breath-holding.
1.Patients without claustrophobia
2.Patients without magnetic substance or tattoo
3.Patients without pacemakers
4.Patients judged as inappropriate for the study by the study responsibility (share) physician.
1000
1st name | Hidenori |
Middle name | |
Last name | Toyoda |
Ogaki Municipal Hospital
Department of Gastroenterology and Hepatology
5038502
4-86 Minaminokawa-cho, Ogaki-shi, Gifu-ken
+81-584-81-3341
hmtoyoda@spice.ocn.ne.jp
1st name | Kumada |
Middle name | |
Last name | Takashi |
Gifu Kyoritsu University
Department of Nursing, Faculty of Nursing,
5038550
5-50, Kitagata-cho, Ogaki-shi, Gifu-ken
+81-584-77-3512
takashi.kumada@gmail.com
Ogaki Municipal Hospital
GE Precision Healthcare
Outside Japan
USA
Shinshu University School of Medicine, Department of Radiology
Nayoro City General Hospital, Department of Gastroenterology
Iwate Medical University,Division of Hepatology,Department of Internal Medicine
Yokohama City University Graduate School of Medicine, Department of Gastroenterology and Hepatology
Musashino Red-Cross Hospital,Department of Gastroenterology and Hepatology
Tokyo Medical University, Department of Gastroenterology and Hepatology
Gifu Kyoritsu University, Department of Nursing
Saga University, Faculty of Medicine, Department of Pathology and Microbiology
None
Ogaki Municipal Hospital
4-86 Minaminokawa, Ogaki, Gifu, Japan, 503-8502
+81-584-81-3341
clinical-trial@omh.ogaki.gifu.jp
NO
2020 | Year | 08 | Month | 01 | Day |
https://pubmed.ncbi.nlm.nih.gov/34768008/
Published
https://pubmed.ncbi.nlm.nih.gov/34768008/
1010
UGAP has excellent diagnostic accuracy for grading steatosis with reference to MRI-PDFF. Additionally, UGAP has good linearity and negligible bias, suggesting that UGAP has excellent technical performance characteristics that can be widely used in clinical trials and patient care. (UMIN Clinical Trials Registry, Number: UMIN000041196).
2022 | Year | 07 | Month | 25 | Day |
Altogether, 1010 patients with chronic liver disease who underwent MRI-PDFF and UGAP were recruited and prospectively enrolled from 6 Japanese liver centers. Linearity was evaluated using intraclass correlation coefficients between MRI-PDFF and UGAP values. Bias, defined as the mean difference between MRI-PDFF and UGAP values, was assessed by Bland-Altman analysis. UGAP cutoffs for pairwise MRI-PDFF-based steatosis grade were determined using area under the receiver-operating characteristic curve (AUROC) analyses.
Altogether, 1010 patients with chronic liver disease who underwent MRI-PDFF and UGAP were recruited and prospectively enrolled from 6 Japanese liver centers. Linearity was evaluated using intraclass correlation coefficients between MRI-PDFF and UGAP values. Bias, defined as the mean difference between MRI-PDFF and UGAP values, was assessed by Bland-Altman analysis. UGAP cutoffs for pairwise MRI-PDFF-based steatosis grade were determined using area under the receiver-operating characteristic curve (AUROC) analyses.
none
Altogether, 1010 patients with chronic liver disease who underwent MRI-PDFF and UGAP were recruited and prospectively enrolled from 6 Japanese liver centers. Linearity was evaluated using intraclass correlation coefficients between MRI-PDFF and UGAP values. Bias, defined as the mean difference between MRI-PDFF and UGAP values, was assessed by Bland-Altman analysis. UGAP cutoffs for pairwise MRI-PDFF-based steatosis grade were determined using area under the receiver-operating characteristic curve (AUROC) analyses.
Completed
2019 | Year | 07 | Month | 22 | Day |
2019 | Year | 08 | Month | 23 | Day |
2020 | Year | 02 | Month | 01 | Day |
2021 | Year | 03 | Month | 31 | Day |
2021 | Year | 03 | Month | 31 | Day |
2021 | Year | 03 | Month | 31 | Day |
2021 | Year | 09 | Month | 30 | Day |
Evidence of the superiority of UGAP methods for the detection and quantification of the hepatic steatosis. Acquisition of the optimal cut-off values for the diagnosis of hepatic steatosis. Academical manuscripts and clinical presentations on the results.
2020 | Year | 07 | Month | 22 | Day |
2023 | Year | 02 | Month | 22 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047037
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