Vasileios Rafailidis
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Vasileios Rafailidis has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Aris Liakos
Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
2 shared publications - Dimitrios Kavvadas
Laboratory of Histology-Embryology, Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2 shared publications - Emmanouil Sinakos
Fourth Medical Department, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
2 shared publications - Panos Prassopoulos
Department of Clinical Radiology, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
2 shared publications - Dimitrios Kourdakis
Department of Clinical Radiology, AHEPA University Hospital, Thessaloniki, Greece, Greece
1 shared publication - Natalia Valeria Pentara
Department of Clinical Radiology, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
1 shared publication
Latest Publications
- Open Access
- 27 June 2026
- Published by MDPI AG in Diagnostics
- Vol. 16 (13) , 2006
Diagnostic Performance of Ultrasound-Guided Attenuation Parameter (UGAP) for Hepatic Steatosis Assessment: Comparison with MRI-PDFF and Evaluation of Cohort-Derived Thresholds
Background/Objectives: To evaluate the diagnostic performance of ultrasound-guided attenuation parameter (UGAP) for the assessment of hepatic steatosis in a population at risk for metabolic dysfunction-associated steatotic liver disease (MASLD), using MRI proton density fat fraction (PDFF) as the reference standard, and to also derive optimal population-specific diagnostic thresholds. Methods: In this single-center prospective study, 64 adults at risk for MASLD underwent UGAP measurement and MRI-PDFF. UGAP was performed according to standardized manufacturer-recommended protocols and standardized on the right hepatic lobe. Hepatic steatosis was staged using established MRI-PDFF thresholds. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. Cohort-UGAP cut-offs were derived using the Youden index. Associations between UGAP and clinical parameters were assessed using correlation and regression analyses. Results: UGAP correlated strongly with MRI-PDFF (ρ = 0.82, p < 0.001). The areas under the ROC curve (AUCs) for detecting mild, moderate, and severe steatosis were 0.86, 0.96, and 0.96, respectively. Right-lobe acquisitions outperformed left-lobe measurements, while four-region averaging yielded the highest diagnostic performance. UGAP values were associated with BMI, waist circumference, and liver enzymes. Conclusions: UGAP provides an accurate noninvasive assessment of hepatic steatosis, demonstrating high overall diagnostic agreement with MRI-PDFF. Right-lobe acquisition and multi-regional averaging further improve its performance. While cohort-specific threshold optimization may enhance clinical applicability, larger studies are needed to fully confirm its accuracy in advanced stages.
- 27 June 2026
- Published by MDPI AG in Diagnostics
- Vol. 16 (13) , 2006
Open AccessDiagnostic Performance of Ultrasound-Guided Attenuation Parameter (UGAP) for Hepatic Steatosis Assessment: Comparison with MRI-PDFF and Evaluation of Cohort-Derived Thresholds
Background/Objectives: To evaluate the diagnostic performance of ultrasound-guided attenuation parameter (UGAP) for the assessment of hepatic steatosis in a population at risk for metabolic dysfunction-associated steatotic liver disease (MASLD), using MRI proton density fat fraction (PDFF) as the reference standard, and to also derive optimal population-specific diagnostic thresholds. Methods: In this single-center prospective study, 64 adults at risk for MASLD underwent UGAP measurement and MRI-PDFF. UGAP was performed according to standardized manufacturer-recommended protocols and standardized on the right hepatic lobe. Hepatic steatosis was staged using established MRI-PDFF thresholds. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. Cohort-UGAP cut-offs were derived using the Youden index. Associations between UGAP and clinical parameters were assessed using correlation and regression analyses. Results: UGAP correlated strongly with MRI-PDFF (ρ = 0.82, p < 0.001). The areas under the ROC curve (AUCs) for detecting mild, moderate, and severe steatosis were 0.86, 0.96, and 0.96, respectively. Right-lobe acquisitions outperformed left-lobe measurements, while four-region averaging yielded the highest diagnostic performance. UGAP values were associated with BMI, waist circumference, and liver enzymes. Conclusions: UGAP provides an accurate noninvasive assessment of hepatic steatosis, demonstrating high overall diagnostic agreement with MRI-PDFF. Right-lobe acquisition and multi-regional averaging further improve its performance. While cohort-specific threshold optimization may enhance clinical applicability, larger studies are needed to fully confirm its accuracy in advanced stages.
- Open Access
- 20 October 2025
- Published by MDPI AG in Diagnostics
- Vol. 15 (20) , 2640
Quantitative Ultrasound for Hepatic Steatosis: A Systematic Review Highlighting the Diagnostic Performance of Ultrasound-Derived Fat Fraction
Background/Objectives: Metabolic-dysfunction-associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide, requiring accurate and accessible diagnostic tools. Methods: A systematic review evaluated the diagnostic performance of Ultrasound-Derived Fat Fraction (UDFF), with a primary focus on prospective studies comparing UDFF to MRI Proton Density Fat Fraction (MRI-PDFF) as the reference standard and a secondary appraisal of its performance against other modalities. Additional parameters, such as technical feasibility, inter-observer agreement, and proposed thresholds, were summarized to support clinical applicability. Results: Seven prospective MRI-based studies (n = 862) demonstrated excellent correlation (average r = 0.848) and reproducibility (inter-observer intraclass correlation coefficient ICC = 0.978, intra-observer ICC = 0.980) of UDFF, with high diagnostic accuracy across steatosis grades (AUCs ≥ 0.89). Additional studies comparing UDFF with Controlled Attenuation Parameter (CAP), histology, and other quantitative ultrasound techniques (attenuation- or backscatter-based methods) confirmed high sensitivity and specificity, particularly for advanced steatosis, and emphasized the potential of UDFF as a comprehensive quantitative biomarker. Proposed UDFF cut-offs for mild, moderate, and severe steatosis ranged from 5% to 23%, demonstrating high sensitivity and specificity. Factors like body position, probe pressure, and visceral fat influenced measurements, underscoring the need for standardized protocols. Conclusions: UDFF seems to offer a reliable and cost-effective quantitative ultrasound modality. So far, it correlates strongly with MRI-PDFF and accurately grades steatosis, especially for S2–S3. Given cut-off variability and protocol sensitivity, broad routine adoption may be premature. Therefore, we recommend further studies focusing on standardized acquisition and cut-off calibration to MRI-PDFF.
- 20 October 2025
- Published by MDPI AG in Diagnostics
- Vol. 15 (20) , 2640
Open AccessQuantitative Ultrasound for Hepatic Steatosis: A Systematic Review Highlighting the Diagnostic Performance of Ultrasound-Derived Fat Fraction
Background/Objectives: Metabolic-dysfunction-associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide, requiring accurate and accessible diagnostic tools. Methods: A systematic review evaluated the diagnostic performance of Ultrasound-Derived Fat Fraction (UDFF), with a primary focus on prospective studies comparing UDFF to MRI Proton Density Fat Fraction (MRI-PDFF) as the reference standard and a secondary appraisal of its performance against other modalities. Additional parameters, such as technical feasibility, inter-observer agreement, and proposed thresholds, were summarized to support clinical applicability. Results: Seven prospective MRI-based studies (n = 862) demonstrated excellent correlation (average r = 0.848) and reproducibility (inter-observer intraclass correlation coefficient ICC = 0.978, intra-observer ICC = 0.980) of UDFF, with high diagnostic accuracy across steatosis grades (AUCs ≥ 0.89). Additional studies comparing UDFF with Controlled Attenuation Parameter (CAP), histology, and other quantitative ultrasound techniques (attenuation- or backscatter-based methods) confirmed high sensitivity and specificity, particularly for advanced steatosis, and emphasized the potential of UDFF as a comprehensive quantitative biomarker. Proposed UDFF cut-offs for mild, moderate, and severe steatosis ranged from 5% to 23%, demonstrating high sensitivity and specificity. Factors like body position, probe pressure, and visceral fat influenced measurements, underscoring the need for standardized protocols. Conclusions: UDFF seems to offer a reliable and cost-effective quantitative ultrasound modality. So far, it correlates strongly with MRI-PDFF and accurately grades steatosis, especially for S2–S3. Given cut-off variability and protocol sensitivity, broad routine adoption may be premature. Therefore, we recommend further studies focusing on standardized acquisition and cut-off calibration to MRI-PDFF.