Publications by authors named "D Acosta Farina"

Article Synopsis
  • Tinnitus affects about 25% of older adults, with non-pulsatile tinnitus usually lacking structural causes, while pulsatile tinnitus may indicate underlying health issues that can be identified through imaging.
  • A thorough clinical evaluation is essential for determining the appropriate diagnostic strategy and imaging is warranted for unilateral non-pulsatile tinnitus or any pulsatile tinnitus cases.
  • Imaging methods like MRI or CT are used based on the type of tinnitus and any accompanying symptoms, with special attention needed for potential serious conditions in cases of pulsatile tinnitus.
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Purpose To determine the prevalence of mitral annular disjunction (MAD) in patients undergoing cardiac MRI for various clinical indications and to assess the association of MAD with arrhythmia, mitral valve prolapse (MVP), and myocardial alteration. Materials and Methods This study analyzed data from a retrospective observational registry of consecutive patients undergoing cardiac MRI for different clinical indications. Cardiac MRI examinations were performed from January 2019 to June 2019 at 13 Italian hospitals.

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Background/objectives: Adenoid Cystic Carcinoma (AdCC) is a rare malignant salivary gland tumor, with high rates of recurrence and distant metastasis. This study aims to stratify patients Relapse-Free Survival (RFS) using a combined model of clinical and radiomic features from preoperative MRI.

Methods: This retrospective study included patients with primary AdCC who underwent surgery and adjuvant radiotherapy.

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Article Synopsis
  • Body surface potentials (BSPs) are valuable biomarkers for medical diagnosis, but traditional measurements have poor spatial resolution, limiting their effectiveness.
  • Advances in bioelectronics have led to the development of high-density electrode arrays that capture detailed spatial information as BSP maps (BSPMs), enhancing diagnostic capabilities.
  • The lack of standardized electrode designs hinders comparability in research, prompting proposed guidelines to optimize electrode arrays, along with strategies for improved interpretation through signal reconstruction and machine learning.
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Movements are performed by motoneurons transforming synaptic inputs into an activation signal that controls muscle force. The control signal emerges from interactions between ionotropic and neuromodulatory inputs to motoneurons. Critically, these interactions vary across motoneuron pools and differ between muscles.

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