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| Name | Class |
|---|---|
| Northeastern Ohio Radiology Research and Education Fund | OTHER |
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This multicenter prospective study aims to evaluate the correlation between quantitative ultrasound fat fraction (USFF) and MRI-PDFF (Proton Density Fat Fraction) for liver fat quantification in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). The study will compare the diagnostic accuracy of quantitative ultrasound imaging against MRI-PDFF as the reference standard.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common liver disease requiring accurate assessment for treatment planning and monitoring. While liver biopsy remains the gold standard, it is invasive with potential complications. MRI-PDFF has emerged as an accurate non-invasive method, but it is expensive and has limited accessibility. Quantitative ultrasound techniques using RF data have been developed to provide objective liver fat assessment.
Objective: To prospectively evaluate the correlation between quantitative ultrasound-derived fat fraction (DeepUSFF) and MRI-PDFF in patients with suspected MASLD across different ethnicities and varying degrees of hepatic steatosis.
Methods: This prospective multicenter study will recruit 62 patients (31 from each participating center) suspected of having MASLD. All participants will undergo both quantitative ultrasound examination and non-contrast liver MRI within one week. The primary endpoint is the correlation coefficient between ultrasound fat fraction and MRI-PDFF. Secondary endpoints include diagnostic accuracy metrics and inter-observer reproducibility.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Quantitative Ultrasound Fat Fraction Assessment | Experimental | All enrolled participants undergo two non-invasive diagnostic imaging procedures within a 7-day window for direct comparison of liver fat quantification methods:
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Quantitative ultrasound (DeepUSFF) | Device | **Novel Quantitative Ultrasound Technology Assessment** This study evaluates Samsung Medison's proprietary DeepUSFF (Deep Learning-based Ultrasound Fat Fraction) technology, a next-generation quantitative ultrasound method for liver fat assessment that differs from conventional ultrasound approaches in several key aspects: advanced RF data analysis, proprietary technology, standardized protocol, direct MRI-PDFF correlation, specific MSALD poopulation and multicenter design. |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between Ultrasound Fat Fraction and MRI-PDFF | earson correlation coefficient between quantitative ultrasound fat fraction (USFF) and MRI-PDFF | At enrollment (single time point assessment) |
| Correlation between Ultrasound Fat Fraction and MRI-PDFF | Measure: Pearson correlation coefficient between quantitative ultrasound fat fraction (USFF) and MRI-PDFF | At enrollment (single time point assessment) |
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Inclusion Criteria:
Exclusion Criteria:
Male: ≥30-60g/day average alcohol intake Female: ≥20-50g/day average alcohol intake
-Chronic liver disease:
Histological diagnosis of chronic liver disease HBsAg positive Anti-HCV positive Other suspected chronic liver diseases
-Liver failure:
Serum albumin <3.2 g/dL INR >1.3 Direct bilirubin >1.3 mg/dL
Patient cooperation impossible Inadequate image acquisition as determined by investigator
-Inability to obtain adequate liver MRI imaging: Patient cooperation impossible Severe obesity preventing MRI examination MRI contraindications (cardiac pacemaker, etc.) Other factors preventing adequate imaging as determined by investigator
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jeong Min Lee, MD | Contact | +82-2-2072-3154 | jmsh@snu.ac.kr | |
| Eun Jung Choi, RN | Contact | +82-2-2072-4177 | eunjung0213@snu.ac.kr |
| Name | Affiliation | Role |
|---|---|---|
| Jeong Min Lee, MD | Seoul National University Hospital | Principal Investigator |
| Richard Gary Barr, MD | Northeastern Ohio Radiology Research and Education Fund | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| southwoods imaging (Northeastern Ohio Radiology Research and Education Fund ) | Recruiting | Boardman | Ohio | 44512 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31053260 | Background | Xie WJ, Zhang B. Learning the Formation Mechanism of Domain-Level Chromatin States with Epigenomics Data. Biophys J. 2019 May 21;116(10):2047-2056. doi: 10.1016/j.bpj.2019.04.006. Epub 2019 Apr 11. | |
| 37709759 | Background | Fan C, Shen M, Nussinov Z, Liu Z, Sun Y, Liu YY. Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture. Nat Commun. 2023 Sep 14;14(1):5659. doi: 10.1038/s41467-023-41108-w. No abstract available. |
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De-identified quantitative ultrasound measurements (USFF values) De-identified MRI-PDFF measurements Anonymized clinical variables (age, BMI, laboratory values) Statistical analysis datasets without patient identifiers
Beginning 12 months following article publication
Requests should be directed to the corresponding author with a detailed research proposal Data sharing agreements will be required Institutional review board approval may be required for secondary analyses
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| ID | Term |
|---|---|
| D005234 | Fatty Liver |
| ID | Term |
|---|---|
| D008107 | Liver Diseases |
| D004066 | Digestive System Diseases |
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Single Group Cross-Sectional Diagnostic Accuracy Study All enrolled participants will undergo both diagnostic procedures (quantitative ultrasound and MRI-PDFF) within a 7-day window to minimize temporal variation in liver fat content. This single-group design allows for direct paired comparison between the two diagnostic methods in the same participants, eliminating inter-subject variability and providing optimal conditions for correlation analysis.
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| Seoul National University Hospital | Recruiting | Seoul | Seoul | 03080 | South Korea |
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| 38569958 | Background | Zhou G, Qin Y, Petticord D, Qiao X, Jiang M. Plant-ant interactions mediate herbivore-induced conspecific negative density dependence in a subtropical forest. Sci Total Environ. 2024 Jun 1;927:172163. doi: 10.1016/j.scitotenv.2024.172163. Epub 2024 Apr 1. |