Publications by authors named "M Spadafora"

Merkel cell carcinoma (MCC) is a rare and aggressive cutaneous neuroendocrine malignancy characterized by its propensity for rapid growth and early regional and distant metastasis. Given its potentially lethal nature, accurate and timely diagnosis of MCC is of utmost importance. This review aims to describe non-invasive imaging methods that can serve as additional tools in the examination of MCC.

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  • Diagnosing solitary pink skin lesions is challenging due to the overlap of clinical features among both benign (like cherry angiomas) and malignant lesions (such as basal cell carcinoma).
  • Reflectance confocal microscopy (RCM) improves diagnostic accuracy beyond traditional dermoscopy, offering better sensitivity and specificity for identifying these lesions.
  • Despite advancements, a definitive diagnosis still requires surgical excision and histopathological analysis to ensure correct treatment.
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  • Whole-body vibration (WBV) is explored for enhancing muscular endurance and its neural mechanisms but has seen limited research on its impact on torque signal complexity.
  • In a study involving thirty males, the effects of WBV were compared with static half squats and no exercise regarding maximal torque, fatigue, and signal complexity during an endurance task.
  • Results showed that WBV did not improve maximal torque production or knee extensors fatigability and might actually have detrimental effects compared to other conditions.
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  • * The study used MEDLINE and Scopus databases to find English articles on NLP and dermatology, focusing on various skin conditions like acne and skin cancers while using the PICO framework.
  • * NLP has shown potential for improving dermatological care by extracting insights from diverse data sources, but issues like data quality and privacy must be addressed through collaboration among dermatologists and data experts.
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Background: A subset of patients affected by cutaneous squamous cell carcinoma (cSCC) can exhibit locally invasive or metastatic tumors. Different staging classification systems are currently in use for cSCC. However, precise patient risk stratification has yet to be reached in clinical practice.

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