Aleksandra Opinc-Rosiak, MD PhD
Aleksandra is a trainee in rheumatology and a research and teaching assistant at the Department of Rheumatology, Medical University of Lodz. Her main clinical and research interests include idiopathic inflammatory myopathies, CTD-ILD and autoantibodies. She is a member of Polish Rheumatology Society, iMyoS, EEACI. Aleksandra s a member of EMEUNET Newsletter Subcommittee and a current Country Liaison for Poland.
| Poster 0219 | Saturday, 16th November 2024 10:30 Imaging of Rheumatic Diseases Poster I: Inflammatory Arthritis Presenting author: I P Kaur (USA) Title: Differentiation of Nail Psoriasis from Healthy Nails Using Ultrasound: A Cross-Sectional Study with a Novel Nail Matrix Measurement Technique  This study assessed nail unit ultrasound (US) differences between psoriasis (PsO) patients and healthy controls. It found no significant differences in nail matrix area or height between the groups, but a moderate correlation between matrix area and height. Power Doppler signals were significantly lower in the PsO group, indicating reduced nail bed vascularization in psoriatic nails. The findings suggest the potential of US for distinguishing PsO. |
| Poster 0224 | Saturday, 16th November 2024 10:30 Imaging of Rheumatic Diseases Poster I: Inflammatory Arthritis Presenting author: A EF Hadsbjerg (Denmark) Title: How Accurate Are Assessments by Local Radiologists of Sacroiliac Joint MRIs in Axial Spondyloarthritis and Psoriatic Arthritis in Routine Clinical Practice?- Evidence from 873 Patients in Five European Countries This study compared local radiologist reports of sacroiliac joint MRIs with expert re-reads in patients with axial spondyloarthritis (axSpA) or psoriatic arthritis (PsA) across five European countries. Local reports often overestimated inflammatory lesions and underestimated structural ones. Sensitivity for detecting sacroiliitis was high (85%) but lower for structural lesions (48%). The findings highlight the need for further training of local radiologists to improve MRI diagnostic accuracy in SpA. |
| Oral 0853 | Saturday, 16th November 2024 15:00 Abstracts: Imaging of Rheumatic Diseases Presenting author: J Loarce (Spain) Title: Lung Ultrasound in Rheumatoid Arthritis and Systemic Sclerosis: Accuracy of B-line and Pleural Assessment This study evaluated lung ultrasound (LUS) for diagnosing interstitial lung disease (ILD) in rheumatoid arthritis (RA) and systemic sclerosis (SSc) patients. LUS showed strong sensitivity and specificity for detecting ILD, correlating well with pulmonary function tests. B-line scores and pleural assessments significantly predicted ILD, with pleural evaluations being quicker and more accurate. LUS presents as a useful, time-efficient alternative to CT for assessing ILD in RA and SSc patients. |
| Poster 1956 | Monday, 18th November 2024 10:30 Imaging of Rheumatic Diseases Poster II Presenting author: G Maldonado (USA) Title: Artificial Intelligence Enhanced Analysis of Nailfold Capillaries by Dermatoscopy in Rheumatology Centers This study developed an artificial intelligence model to detect abnormalities in dermatoscopy images for nailfold assessment in rheumatology, using low-cost equipment. The model showed good specificity (87-93%) for detecting blurriness, low density, enlarged capillaries, hemorrhages, and abnormal shapes, with high sensitivity for hemorrhages (90%) and low density (89%). Despite limitations due to class imbalance and small sample size, the model holds promise as a screening tool for primary care, aiding referrals to rheumatology. |
| Poster 1957 | Monday, 18th November 2024 10:30 Imaging of Rheumatic Diseases Poster II Presenting author: A Kante (France) Title: Assessing Left Ventricular Hemodynamic Forces in Systemic Sclerosis Patients: Pilot Study This study evaluated the diagnostic value of hemodynamic forces (HDF) measured via cardiac MRI (CMR) in systemic sclerosis (SSc) patients. Compared to healthy controls, SSc patients showed increased left ventricular (LV) longitudinal HDF in systole and reduced diastolic deceleration, indicating possible early cardiac dysfunction. HDF analysis, correlated with disease severity, may be a more sensitive tool for detecting subclinical cardiac deterioration in SSc than traditional methods. |