Left Ventricular Diastolic Dysfunction (LVDD) describes changes in the heart's structure and function, leading to impaired ventricular relaxation and increased filling pressures during the diastolic phase of the cardiac cycle. In the context of isolated LVDD, the left ventricular end-diastolic volume, global contractility, and ejection fraction (EF) are normal, with EF being 50% or higher. However, as filling pressures progressively increase, diastolic dysfunction worsens.
View Article and Find Full Text PDFMale breast cancer (MaBC) is a rare disease and due to its rarity and the lack of specific protocols for its management, treatment algorithms are extrapolated from female breast cancer (FBC). To optimize MaBC treatment, we conceived an umbrella review with the aim of supplying an evidence-based summary of systematic reviews published about this topic in the last twenty years. This umbrella review was performed according to a predefined protocol (PROSPERO number CRD42024574299).
View Article and Find Full Text PDFIntratumoral hemorrhage is a known complication of cerebrospinal fluid (CSF) drainage surgeries, such as ventriculoperitoneal shunts or external ventricular drainage, which are usually associated with upward herniation of the posterior fossa contents. In contrast, this is extremely rare after an endoscopic third ventriculostomy (ETV). This technique should drain the CSF in a more physiological way by limiting the pressure gradient between the infratentorial and supratentorial compartments, thus avoiding upward herniation of the tumor and intratumoral hemorrhage.
View Article and Find Full Text PDFThe genus (Lamiaceae), comprising aromatic perennial plants widely distributed in temperate regions, holds significant medicinal and commercial value. This study aimed to investigate the chemical profile and bioactivities of hydroalcoholic extracts from (L.) L.
View Article and Find Full Text PDFIn recent years, there has been a significant increase in oil exploration and exploitation activities, resulting in spills that pose a severe threat to the environment and public health. The present work aims to develop a method to detect and classify hydrocarbon-contaminated soils that is useful for analyzing contaminated sites. The method combines machine learning algorithms with data obtained via the laser-induced breakdown spectroscopy (LIBS) technique.
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