People with joint problems, joint pain, cartilage damage, osteoarthritis, and similar conditions.
Conditions
Interventions
Group 1: Observational Study
Arm1
Analysis accelerated MRI-sequence in musculoskeletal imaging. In addition to the routine MRI diagnostics, an extra accelerated MRI sequence is performed at the time o
Sponsors
Klinik für Radiologie und Nuklearmedizin
Eligibility
Sex/Gender
All
Age
6 Years to No maximum
Inclusion criteria
Inclusion criteria: All patients who undergo a musculoskeletal MRI, such as of the knee joint, as part of routine clinical care and who have provided consent for the study are consecutively eligible for inclusion.
Exclusion criteria
Exclusion criteria: Exclusion from the study applies to all individuals who are unable to provide informed consent, in particular adults who are not capable of giving consent.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Qualitative and quantitative diagnostic accuracy of deep learning–accelerated MRI sequences compared to conventional MRI imaging in the assessment of musculoskeletal structures such as the knee joint, particularly with regard to cartilage, menisci, and ligamentous structures. | — |
Secondary
| Measure | Time frame |
|---|---|
| Measurable reduction of examination time Automated structural quantification Assessment of image quality | — |
Countries
Germany
Contacts
Public ContactSimon Bernatz
Klinik für Radiologie und Nuklearmedizin
Outcome results
None listed