Vertebral fracture is a common clinically significant skeletal related event in cancer patients. Stratification of patients diagnosed with one or more vertebral metastases according to the risk of pathological fracture is an unresolved problem despite the fact that fractures strongly influence the quality of life (QoL) and also the overall survival. The multidimensional nature and the strong patient specificity of the risk for fracture have not been considered in previously published risk estimation models and these methods were developed and validated only on retrospective data focusing on prevalence of life-time fracture which is not really relevant at the time of the diagnosis of a vertebral metastasis. To overcome these shortcomings, the METASTRA models (METASTRA-AI and METASTRA-VPH) and the decision support system (METASTRA-DSS) are developed considering the highest possible level of patient specificity to stratify the individuals according to their risk for fracture in a clinically considerable period (within next 6 months). The prospective data collection and analysis will provide reliability and validity results on the performance of METASTRA tools as well as structured information on user's experience helping the future integration of the developed patient-specific stratification tool into the everyday clinical practice. The study is a prospective clinical data collection from minimum 200 patients to determine the validity (i.e. Precision) in fracture risk stratification of the METASTRA-AI and METASTRA-VPH computational models and to determine the reliability of METASTRA-AI and METASTRA-VPH as well as human decision making process in patient stratification.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
new vertebral fracture
Timeframe: in 6 months