C79.5
Conditions
Interventions
Group 1: retrospectiv analysis, patient data with benign (osteoporotic) or malignant (underlying tumor/metastasis) vertebral body fracture, who have received a CT and/or an MRI
Analyzed in a defined t
Sponsors
Klinikum der Universität München, Campus Großhadern
Eligibility
Sex/Gender
Male
Age
18 Years to 110 Years
Inclusion criteria
Inclusion criteria: - Age over 18 years - Benign (osteoporotic) or malignant (tumorous) vertebral body fracture (histologically secured or existing follow-up controls) - CT and/or MRI
Exclusion criteria
Exclusion criteria: - Age under 18 years - Incomplete investigation data
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Evaluating the utility of artificial intelligence analysis for differentiating benign and malignant fractures to enable targeted, causal therapy. | — |
Secondary
| Measure | Time frame |
|---|---|
| Gain knowledge of the prognosis based on certain imaging information, which could then be used for therapy stratification. Analysis to what extent the results of algorithm-based imaging data analysis differ from the readings of experienced or inexperienced radiologists. | — |
Countries
Germany
Contacts
Public ContactGoller Sophie
Klinik und Poliklinik für Radiologie LMU
Outcome results
None listed