Publications by authors named "A Bianconi"
Background: Non-meningothelial intracranial mesenchymal tumors are a heterogeneous group of central nervous system neoplasms endowed with great variability clinically and histologically. For this precise reason, significant difficulties exist in specifically cataloguing tumor entities with such distant characteristics and such uncertain clinical course.
Case Description: In an attempt to increase the knowledge inherent in this type of central nervous system lesions we report a case of a rare and unusual myxoid mesenchymal tumor of difficult anatomopathological classification characterized by rapid progression and optimal therapeutic response after combined surgical and radiotherapy treatment, with histo-molecular definition and DNA methylation profile.
Article Synopsis
- - The research aimed to create a deep learning model for accurately assessing the extent of resection (EOR) in glioblastoma patients using postoperative MRI scans, addressing limitations of existing algorithms that only focus on preoperative images.
- - Utilizing data from multiple sources, the model was trained to segment tumor features like contrast-enhancing tumor, edema, and surgical cavity, and was compared with other segmentation models, showing high performance in classifying resection categories.
- - The study found that the nnU-Net framework outperformed other algorithms, achieving high accuracy in both segmentation (with median Dice scores up to 0.81) and EOR classification (96% accuracy in comparisons), making it a valuable tool for clinical use.
Article Synopsis
- Measuring deeply virtual Compton scattering (DVCS) on the neutron is essential for understanding the nucleon's structure through generalized parton distributions (GPDs).
- Neutron targets help complement data obtained from polarized protons, particularly in determining the poorly understood GPD E, which is crucial for analyzing quark contributions to nucleon spin.
- The experiment utilized a longitudinally polarized electron beam at Jefferson Lab and the CLAS12 detector to measure DVCS on the neutron for the first time, providing new insights into quark-flavor separation of relevant Compton form factors.
Background: During the COVID-19 pandemic, paracetamol was widely recommended in different clinical settings, and sometimes advised over non-steroidal anti-inflammatory drugs (NSAIDs). These recommendations sparked a strong debate, with reports suggesting either potential benefits or harms for the individuals infected with SARS-CoV-2. As no systematic review is available, we performed a meta-analysis to estimate the impact of paracetamol on COVID-19 clinical outcomes compared to a placebo, no use, or NSAIDs.
View Article and Find Full Text PDF: Despite the fact that thiocolchicoside has been widely used in the treatment of musculoskeletal pain, its efficacy has never been systematically evaluated. We carried out a systematic review and meta-analysis of randomized clinical trials (RCTs) to appraise the existing evidence on the efficacy of thiocolchicoside for musculoskeletal pain management. : The literature search was performed on multiple databases, extracting reports of RCTs evaluating the efficacy of thiocolchicoside compared to placebo or no exposure.
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