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- Title
Annual Meeting Abstracts of the German Society of Skeletal Radiology (DGMSR) 2024, April 26 – 27, Berlin/ Germany.
- Abstract
This document contains abstracts from the Annual Meeting of the German Society of Skeletal Radiology (DGMSR) in 2024. The abstracts cover a range of topics in radiology research. One study compared routine CT scans with dedicated quantitative CT scans for assessing osteoporosis and fracture risk, finding that routine CT performed as well as QCT. Another study evaluated a deep learning-based FLAIR sequence for diagnosing inflammatory knee synovitis and found it to be equivalent to contrast-enhanced T1-weighted imaging. A third study explored the use of deep learning-based image reconstruction in accelerated turbo-spin-echo MRI of the knee at 7 Tesla, which improved image quality and reduced acquisition time. The fourth study investigated data augmentation strategies to improve AI models in analyzing torsional alignment. The final abstract examined the frequency of combined femoral and tibial torsional malalignment in symptomatic patients with patellar instability. Other studies in the document covered topics such as deltoid muscle fatty infiltration and shoulder function after reverse shoulder arthroplasty, diagnostic efficacy of MRI and low-dose CT in axial spondyloarthritis, and combining compressed sensing and deep learning for accelerated 3D-MRI sequences of the knee. Additionally, there were studies on quantifying tendon degeneration, radiopalmar ganglion cysts, and a versatile turbo spin echo platform for MRI of the knee joint.
- Subjects
BERLIN (Germany); GERMANY; CONGENITAL hip dislocation; MAGNETIC resonance imaging; CONVOLUTIONAL neural networks; MULTIDETECTOR computed tomography; PICTURE archiving &; communication systems; MAGIC angle spinning
- Publication
Skeletal Radiology, 2024, Vol 53, Issue 6, p1233
- ISSN
0364-2348
- Publication type
Article
- DOI
10.1007/s00256-024-04641-3