25dkou501 10.3205/25dkou501 urn:nbn:de:0183-25dkou5010 Meeting Abstract Roshardt Roshardt Jose J

Department of Orthopaedic Surgery, Inselspital, University of Bern, Bern, Schweiz

author Meier Meier Malin M

University Institute of Diagnostic, Interventional and Paediatric Radiology, Inselspital, University of Bern, Bern, Schweiz

author Lerch Lerch Till T

University Institute of Diagnostic, Interventional and Paediatric Radiology, Inselspital, University of Bern, Bern, Schweiz

author Tannast Tannast Moritz M

Department of Orthopaedic Surgery, Inselspital, University of Bern, Bern, Schweiz

author Hoch Hoch Armando A

Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Zürich, Schweiz

author Sommer Sommer Stefan S

Advanced Clinical Imaging Technology (ACIT), Siemens Healthineers International AG, Zürich, Schweiz

author Sutter Sutter Reto R

Radiology Department, Balgrist University Hospital, Zürich, Schweiz

author Steppacher Steppacher Simon Damian SD

Department of Orthopaedic Surgery, Inselspital, University of Bern, Bern, Schweiz

author Schmaranzer Schmaranzer Florian F

Radiology Department, Balgrist University Hospital, Zürich, Schweiz

author German Medical Science GMS Publishing House

Düsseldorf

610 20251031 engl This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). M0634 501 Deutsche Gesellschaft für Orthopädie und Unfallchirurgie Deutsche Gesellschaft für Orthopädie und Orthopädische Chirurgie Deutsche Gesellschaft für Unfallchirurgie Berufsverband für Orthopädie und Unfallchirurgie Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2025) Abstracts | Digitalisierung 4 Berlin 20251028 20251031 AB79-4572 TextObjectives and questions: Radiographs and CT scans are standard for diagnosing hip deformities before hip-preserving surgery but involve ionizing radiation, raising concerns about cumulative exposure, particularly in younger patients. MRI offers detailed, radiation-free imaging of bone morphology and soft tissues. Recent advances in artificial intelligence enable automatic segmentation and MRI-based 3D pelvic modeling, allowing the creation of virtual radiographic-like projections.The objective of this study was to determine whether standard radiographic parameters—lateral center-edge angle (LCEA), retroversion index (RI), and acetabular index (AI)—can be accurately measured on MRI-based radiographic-like projections and yield results comparable to conventional anteroposterior (AP) pelvic radiographs.Material and methods: Fifty consecutive patients (100 hips, mean age 28 years) with symptomatic hip deformities underwent comprehensive radiologic evaluation, including standard AP pelvic radiographs and direct hip MR arthrography (T1-w VIBE DIXON, 1 mm slice thickness) as part of our institutional routine protocol. The osseous pelvis was segmented using a validated deep learning method (3D nnU-Net), and radiograph-like projections were generated using an adapted cone beam projection algorithm (MATLAB). The arthrography and non-arthrography sides were analyzed separately to assess potential measurement differences. Standard radiographic parameters were measured on MRI-based radiographic-like projections and conventional radiographs using Hip2Norm software. T-tests and Pearson's correlation were conducted for statistical analysis.Results: The LCEA showed no significant difference between conventional and MRI-based projections, with absolute mean differences of 0.18±1.15° (arthrography, p=0.71) and 0.59±1.69° (non-arthrography, p=0.29). Similarly, the AI showed no significant difference (0.60±1.52° (arthrography, p=0.20); 1.01±2.12° (non-arthrography, p=0.075)). For the RI, absolute mean differences were 0.46±4.00% (arthrography, p=0.80) and 2.04±5.33% (non-arthrography, p=0.22), indicating no significant difference. Moderate to strong correlations were found between MRI-based and conventional radiographs (LCEA: r=0.84/0.77, AI: r=0.75/0.66, RI: r=0.60/0.66 for arthrography/non-arthrography; all p<0.001).Discussion and conclusions: Irrespective of contrast agent use during hip MRI, our approach utilizing T1-w VIBE DIXON and a deep learning-based image post-processing method enables the creation of radiographic-like projections comparable to standard AP pelvic radiographs for the evaluated parameters. This method demonstrates high potential for assessing osseous hip morphology. 0 0 0 0