The "One Health and Citizen Science" (OHCS) project aims to provide an integrated intervention model useful for characterising the state of environmental quality, assessing population exposure to pollutants, investigating the association between environmental risk factors and health outcomes, and measuring the impacts associated with contamination and remediation scenarios. In pursuing this objective, the activation of participatory pathways and the use of risk communication strategies are envisaged.Within the OHCS project, training and discussion meetings were planned on a number of issues deemed central.
View Article and Find Full Text PDFThe area known as Piana di Venafro is situated between the Mainarde and Matese massifs in the extreme western Region of Molise (Southern Italy). This valley was formerly designated as Campania felix, a moniker derived from the global esteem in which its crops were held. Nowadays, the valley is traversed by numerous high-volume thoroughfares, rendering it challenging to maintain the designation of felix.
View Article and Find Full Text PDFSpondylodiscitis is an infection of the intervertebral disc, the adjacent vertebral body, and/or contiguous structures due to the introduction of infectious agent, usually by the hematogenous route. Imaging is crucial in assessing bacterial and tubercular spondylodiscitis, as well as their associated complications. Magnetic resonance imaging in particular can clearly depict osteo-structural changes in the vertebral body and the associated disc, as well as any soft-tissue complications, such as paravertebral abscess and/or epidural abscess, improving disease characterization and helping to recognize the agent involved.
View Article and Find Full Text PDF: To evaluate the correlation between radiomic features extracted from contrast-enhanced mammography (CEM) tumor lesions and peritumoral background with prognostic factors in breast cancer (BC). : In this retrospective, single-center study, 134 women with histologically confirmed breast cancer underwent CEM examination. Radiomic features were extracted from manually segmented lesions and lesion contours were automatically delineated using PyRadiomics.
View Article and Find Full Text PDFObjective: Renal Tumor biopsy (RTB) can assist clinicians in determining the most suitable approach for treatment of renal cancer. However, RTB's limitations in accurately determining histology and grading have hindered its broader adoption and data on the concordance rate between RTB results and final pathology after surgery are unavailable. Therefore, we aimed to develop a machine learning algorithm to optimize RTB technique and to investigate the degree of concordance between RTB and surgical pathology reports.
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