ArticleUltrasonography (Seoul, Korea)2022
Noninvasive assessment of hepatic steatosis using a pathologic reference standard: comparison of CT, MRI, and US-based techniques.
Article in Ultrasonography (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- MRI-proton density fat fraction accurately reflects hepatic steatosis despite concomitant inflammation and fibrosis in a MASLD rat model.Abdominal radiology (New York) · 2026Article
- Beyond radioiodine de-escalation: anatomical refinement of lateral neck dissection under the 2025 ATA framework.Archives of endocrinology and metabolism · 2026Article
- Noninvasive Assessment of Hepatic Steatosis in Living Liver Donors.Diagnostics (Basel, Switzerland) · 2026Article
- Clinical Validation of a Deep Learning-Based 2D Ultrasound Steatosis Algorithm: Cutoff Transferability, Scanner Generalizability, and Comparison with FibroScan.Diagnostics (Basel, Switzerland) · 2026Article
- Comparing ultrasound-derived fat fraction and CT for diagnosing hepatic steatosis: an MRI-PDFF reference study.Frontiers in medicine · 2026Article
- Ultrasound derived fat fraction indicates reduction of liver fat content after lifestyle modification in obese patients.Clinical hemorheology and microcirculation · 2025Article
- Attenuation Based Quantitative Evaluation of Hepatic Steatosis Using US: Current Status and Future Perspective.Journal of the Korean Society of Radiology · 2025Review
- Evaluation of colorectal liver metastases using virtual monoenergetic images obtained from dual-layer spectral computed tomography.Abdominal radiology (New York) · 2025Article
- Comparisons of Post-Load Glucose at Different Time Points for Identifying High Risks of MASLD Progression.Nutrients · 2024Article
- Assessing Quality of Ultrasound Attenuation Coefficient Results for Liver Fat Quantification.Diagnostics (Basel, Switzerland) · 2024Article
- Utilizing fully-automated 3D organ segmentation for hepatic steatosis assessment with CT attenuation-based parameters.European radiology · 2024Article
- Noninvasive Methods for Assessing Liver Fibrosis and Steatosis.Gastroenterology & hepatology · 2024Article
- Steatosis Quantification on Ultrasound Images by a Deep Learning Algorithm on Patients Undergoing Weight Changes.Diagnostics (Basel, Switzerland) · 2023Article
- Non-invasive evaluation of liver steatosis with imaging modalities: New techniques and applications.World journal of gastroenterology · 2023Review
- US Attenuation Imaging for the Evaluation and Diagnosis of Fatty Liver Disease.Journal of the Korean Society of Radiology · 2023Article
- Advances in the Diagnosis and Treatment of Non-Alcoholic Fatty Liver Disease.International journal of molecular sciences · 2023Review
- Ultrasound-Based Diagnostic Methods: Possible Use in Fatty Liver Disease Area.Diagnostics (Basel, Switzerland) · 2022Review
- Ultrasound Methods for the Assessment of Liver Steatosis: A Critical Appraisal.Diagnostics (Basel, Switzerland) · 2022Review
- The accuracy of fatty liver index for the screening of overweight and obese children for non-alcoholic fatty liver disease in resource limited settings.BMC pediatrics · 2022Article
- Feasibility of Ultrasound Attenuation Imaging for Assessing Pediatric Hepatic Steatosis.Biology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe present study compared the performance of computed tomography (CT), magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF), controlled attenuation parameter (CAP), grayscale ultrasonography (US), and attenuation imaging (ATI) for the diagnosis of hepatic steatosis (HS).
methodsIn total, 120 prospectively recruited patients who underwent hepatic resection between June 2018 and June 2020 were retrospectively analyzed. CT, MRI-PDFF, CAP, grayscale US, and ATI were performed within 3 months before surgery. Diagnostic performance for HS ≥5% and HS >33% was compared using the area under the curve (AUC) of receiver operating characteristic curves. Histopathologic examinations served as the reference standard for the degree of HS.
resultsFor detecting HS ≥5%, MRI-PDFF (AUC, 0.946) significantly outperformed CT, CAP and grayscale US (AUC, 0.807, 0.829, and 0.761, respectively) (P<0.01 for all). ATI (AUC, 0.892) was the second-best modality and significantly outperformed grayscale US (P=0.001). In pairwise comparisons, there were no significant differences between the AUC of ATI and the values of MRI-PDFF, CT, or CAP (P=0.133, P=0.063, and P=0.150, respectively). For detecting HS >33%, all the modalities provided good diagnostic performance without significant differences (AUC, 0.887-0.947; P>0.05 for all).
conclusionFor detecting HS ≥5%, MRI-PDFF was the best imaging modality, while ATI outperformed grayscale US. For detecting HS >33%, all five imaging tools demonstrated good diagnostic performance.
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