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Train-METASTRA is a retrospective study that will be performed in order to collect a large and harmonised amount of clinical and imaging data concerning vertebral metastases, focusing in particular on the risk of fractures. This type of dataset will be created from the medical records of 2000 patients admitted in the last ten years in the four European clinical centers participating in METASTRA project: "COMPUTER-AIDED EFFECTIVE FRACTURE RISK STRATIFICATION OF PATIENTS WITH VERTEBRAL METASTASES FOR PERSONALISED TREATMENT THROUGH ROBUST COMPUTATIONAL MODELS VALIDATED IN CLINICAL SETTINGS", funded by the European Union under the call "HORIZON-HLTH-2022-TOOL-12-two-stage/Computational models for new patient stratification strategies". The project is coordinated by the University of Bologna (UNIBO) (PI prof. Luca Cristofolini) and involves 15 European partners, including Sarl Voisin Consulting Life Sciences VCLS, University of Szeged (Hungary), University of Sheffield (UK) and FrontEndART (Hungary).
This type of dataset is not currently available in the literature and it will be pivotal to the development of the METASTRA computational models for the stratification of the risk of fracture of patients affected by spinal metastases.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Vertebral metastases | Patients affected by spinal metastases that are not surgically treated |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Case series review of clinical and radiographic data | Other | Extraction of clinical and radiographic data related to patients' history from medical records |
|
| Measure | Description | Time Frame |
|---|---|---|
| risk factors for vertebral fracture | The primary objective of the study is to identify the main relevant characteristics to be used for stratifying the patients with vertebral metastases based on their risk of fracture. | at the baseline |
| risk factors for vertebral fracture | The primary objective of the study is to identify the main relevant demographic, clinical and radiographic characteristics to be used for stratifying the patients with vertebral metastases based on their risk of fracture. | through study completion, an average of 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Critical metastases | To classify critical metastases | after 1 year |
| AI-based models | To train the data-driven computational models (METASTRA-AI) developed within the project |
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Inclusion Criteria:
Exclusion Criteria:
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The expected study population is a cohort of patients affected by spinal metastases admitted in the last ten years (from 2012 to 2022) in the four clinical centers involved in the study. This cohort of patients is characterised by the presence of one or more vertebral metastatic lesions that are not surgically treated.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Charite - Universitaetsmedizin Berlin | Berlin | Germany | ||||
| Budai Egeszsegkozpont Zrt |
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| after 1 year |
| Physiology-based biomechanical models | To inform the physiology-based biomechanical models (METASTRA-VPH) developed within the project | after 1 year |
| Budapest |
| Hungary |
| Universitair Medisch Centrum Utrecht | Utrecht | Netherlands |