Introduction. Patients (2.7M in EU) with positive cancer prognosis frequently develop metastases (≈1M) in their remaining lifetime. In 30-70% cases, metastases affect the spine, reducing the strength of the affected vertebrae. Fractures occur in ≈30% patients. Clinicians must choose between leaving the patient exposed to a high fracture risk (with dramatic consequences) and operating to stabilise the spine (exposing patients to unnecessary surgeries). Currently, surgeons rely on their sole experience. This often results in to under- or over-treatment. The standard-of-care are scoring systems (e.g. Spine Instability Neoplastic Score) based on medical images, with little consideration of the spine biomechanics, and of the structure of the vertebrae involved. Such scoring systems fail to provide clear indications in ≈60% patients. Method. The HEU-funded METASTRA project is implemented by biomechanicians, modellers, clinicians, experts in verification, validation, uncertainty quantification and certification from 15 partners across Europe. METASTRA aims to improve the stratification of patients with vertebral metastases evaluating their risk of fracture by developing dedicated reliable computational models based on Explainable Artificial Intelligence (AI) and on personalised Physiology-based biomechanical (VPH) models. Result. The METASTRA-AI model is expected to be able to stratify most patients with limited effort end cost, based on parameters extracted semi-automatically from the medical files and images. The cases which are not reliably stratified through the AI model, are examined through a more detailed and personalised biomechanical VPH model. These METASTRA numerical tools are trained through an unprecedentedly large multicentric retrospective study (2000 cases) and validated against biomechanical ex vivo experiments (120 specimens). Conclusion. The METASTRA decision support system is tested in a multicentric prospective observational study (200 patients). The METASTRA approach is expected to cut down the indeterminate diagnoses from the current 60% down to 20% of cases. METASTRA project funded by the European Union, HEU topic HLTH-2022-12-01, grant 101080135

Vertebral metastases are the most common type of malignant lesions of the spine. Although this tumour is still considered incurable and standard treatments are mainly palliative, the standard approach consists in surgical resection, which results in the formation of bone gaps. Hence, scaffolds, cements and/or implants are needed to fill the bone lacunae. Here, we propose a novel approach to address spinal metastases recurrence, based on the use of anti-tumour metallic-based nanostructured coatings. Moreover, for the first time, a gradient microfluidic approach is proposed for the screening of nanostructured coatings having anti-tumoral effect, to determine the optimal concentration of the metallic compound that permits selective toxicity towards tumoral cells. Coatings are based on Zinc as anti-tumour agent, which had been never explored before for treatment of bone metastases. The customized gradient generating microfluidic chip was designed by Autodesk Inventor and fabricated from a microstructured mould by using replica moulding technique. Microstructured mould were obtained by micro-milling technique. The chip is composed of a system of microfluidic channels generating a gradient of 6 concentrations of drug and a compartment with multiple arrays of cell culture chambers, one for each drug concentration. The device is suitable for dynamic cultures and in-chip biological assays. The formation of a gradient was validated using a methylene blue solution and the cell loading was successful. Preliminary biological data on 3D dynamic cultures of stromal cells (bone-marrow mesenchymal stem cells) and breast carcinoma cells (MDA-MB-231) were performed in a commercial microfluidic device. Results showed that Zn eluates had a selective cytotoxic effect for tumoral cells. Indeed, cell migration and cell replication of treated tumoral cells was inhibited. Moreover, the three-dimensionality of the model strongly affected the efficacy of Zn eluates, as 2D preliminary experiments showed a high cytotoxic effect of Zn also for stromal cells, thus confirming that traditional screening tests on 2D cultured cells usually lead to an overestimation of drug efficacy and toxicity. Based on preliminary data, the customized platform could be considered a major advancement in cancer drug screenings as it also allows the rapid and efficient screening of biomaterials having antitumor effect

Bone metastases radiographically appear as regions with high (i.e. blastic metastases) or low (i.e. lytic metastases) bone mineral density. The clinical assessment of metastatic features is based on computed tomography (CT) but it is still unclear if the actual size of the metastases can be accurately detected from the CT images and if the microstructure in regions surrounding the metastases is altered (Nägele et al., 2004, Calc Tiss Int). This study aims to evaluate (i) the capability of the CT in evaluating the metastases size and (ii) if metastases affect the bone microstructure around them. Ten spine segments consisted of a vertebra with lytic or mixed metastases and an adjacent control (radiologically healthy) were obtained through an ethically approved donation program. The specimens were scanned with a clinical CT (AquilionOne, Toshiba: slice thickness:1mm, in-plane resolution:0.45mm) to assess clinical metastatic features and a micro-CT (VivaCT80, Scanco, isotropic voxel size:0.039mm) to evaluate the detailed microstructure. The volume of the metastases was measured from both CT and micro-CT images (Palanca et al., 2021, Bone) and compared with a linear regression. The microstructural alteration around the metastases was evaluated in the volume of interest (VOI) defined in the micro-CT images as the volume of the vertebral body excluding the metastases. Three 3D microstructural parameters were calculated in the VOI (CTAn, Bruker SkyScan): Bone Volume Fraction (BV/TV), Trabecular Thickness (Tb.Th.), Trabecular Spacing (Tb.Sp.). Medians of each parameter were compared (Kruskal-Wallis, p=0.05). One specimen was excluded as it was not possible to define the size of the metastases in the CT scans. A strong correlation between the volume obtained from the CT and micro-CT images was found (R2=0.91, Slope=0.97, Intercept=2.55, RMSE=5.7%, MaxError=13.12%). The differences in BV/TV, Tb.Th. and Tb.Sp. among vertebrae with lytic and mixed metastases and control vertebrae were not statistically significant (p-value>0.6). Similar median values of BV/TV were found in vertebrae with lytic (13.2±2.4%) and mixed (12.8±9.8%) metastases, and in controls (13.0±10.1%). The median Tb.Th. was 176±18 ∓m, 179±43 ∓m and 167±91 ∓m in vertebrae with lytic and mixed metastases and control vertebrae, respectively. The median Tb. Sp. was 846±26 ∓m, 849±286 ∓m and 880±116 ∓m in vertebrae with lytic and mixed metastases and control vertebrae, respectively. In conclusion, the size of vertebral metastases can be accurately assess using CT images. The 3D microstructural parameters measured were comparable with those reported in the literature for healthy vertebrae (Nägele et al., 2004, Calc Tiss Int, Sone et al., 2004, Bone) and showed how the microstructure of the bone tissue surrounding the lesion is not altered by the metastases