How the COAPT trial affected the selection of patients with secondary mitral regurgitation undergoing transcatheter edge-to-edge repair: insights from the GIOTTO Registry.

Background: The impact of the COAPT results on clinical practice has not yet been investigated in large real-world cohort study. The aim of the study is to evaluate the potential impact of the COAPT trial by analyzing the temporal trends of baseline characteristics and outcome of secondary mitral regurgitation (SMR) patients undergoing MitraClip (MC) included in the GIOTTO registry.

Methods: The study population was divided into two groups, considering the enrolment before or after the COAPT publication.

High Field MRI in Parotid Gland Tumors: A Diagnostic Algorithm.

Imaging of parotid tumors is crucial for surgery planning, but it cannot distinguish malignant from benign lesions with absolute reliability. The aim of the study was to establish a diagnostic MRI algorithm to differentiate parotid tumors. A retrospective study was conducted including all patients with parotid tumors, who underwent 3T-MRI and surgery.

Progress and Challenges in Integrating Nutritional Care into Oncology Practice: Results from a National Survey on Behalf of the NutriOnc Research Group.

Introduction: Nutritional care is a cornerstone of cancer treatment, with the potential to significantly improve patient outcomes by addressing malnutrition and enhancing recovery. Despite growing awareness, the integration of evidence-based nutritional strategies into oncology remains inconsistent. Following a 2020 survey that highlighted critical gaps, the NutriOnc Research Group launched targeted initiatives to raise awareness and improve practices.

Boosting any learning algorithm with Statistically Enhanced Learning.

Feature engineering is of critical importance in the field of Data Science. While any data scientist knows the importance of rigorously preparing data to obtain good performing models, only scarce literature formalizes its benefits. In this work, we present the method of Statistically Enhanced Learning (SEL), a formalization framework of existing feature engineering and extraction tasks in Machine Learning (ML).

Injection Techniques for Filler Procedures With Illustration: Narrative Review.

This narrative review explores the various injection techniques utilized in facial filler procedures, emphasizing their applications, benefits, and potential complications. The increasing demand for total facial contouring and rejuvenation has led to a rise in the use of volumizing fillers and the integration of these procedures with other treatments such as toxins, threads, lasers, radiofrequency, and ultrasound. Achieving satisfactory results necessitates a comprehensive understanding of facial anatomy and the effects of aging on skin tissue.