Sensory preservation in reduction mammoplasty using the nipple-areola complex-carrying pedicle technique for gigantomastia: A systematic review and meta-analysis.

Background: Gigantomastia is a disabling condition characterized by excess breast tissue. Historically, free nipple graft (FNG) has been preferred, prioritizing the nipple-areola complex (NAC) vascularity. The NAC-carrying pedicle technique, which is most commonly used in case of hypertrophy of the breast, has been suggested as a viable alternative for gigantomastia according to recent evidence, with reduced rates of NAC necrosis and improved outcomes.

HBV and HCV testing outcomes among marginalized communities in Italy, 2019-2024: a prospective study.

Background: The health of the marginalized populations is crucial for public health and inequalities. The World Health Organization (WHO) Global Hepatitis Report 2024 stated that over 304 million people were living with Hepatitis B Virus (HBV)/Hepatitis C Virus (HCV) infection in 2022. We performed HBV/HCV screenings among marginalized communities to reveal hidden infections and link-to-care positive participants.

Evaluation of ATR-FTIR, HPLC-DAD, GC-MS, and GC-IR for the Analysis of 145 Street Drug Samples From Drug Checking Services.

Drug checking services (DCS) are entities that allow recreational drug users to have street drug samples analyzed. Diverse analytical methods are applied for DCS, ranging from test strips to mass spectrometry (MS). This work evaluates the performance and utility of common methodologies used for DCS operating with off-site drug testing, while additionally assessing the potential of gas chromatography coupled to vapor phase infrared spectroscopy (GC-IR).

From spectroscopic data variability to optimal preprocessing: leveraging multivariate error in almond powder adulteration of different grain size.

Analysing samples in their original form is increasingly crucial in analytical chemistry due to the need for efficient and sustainable practices. Analytical chemists face the dual challenge of achieving accuracy while detecting minute analyte quantities in complex matrices, often requiring sample pretreatment. This necessitates the use of advanced techniques with low detection limits, but the emphasis on sensitivity can conflict with efforts to simplify procedures and reduce solvent use.

Alterations in large-scale resting-state network nodes following transcranial focused ultrasound of deep brain structures.

Background: Low-intensity transcranial focused ultrasound (tFUS) is a brain stimulation approach that holds promise for the treatment of brain-based disorders. Studies in humans have shown that tFUS can successfully modulate perfusion in focal sonication targets, including the amygdala; however, limited research has explored how tFUS impacts large-scale neural networks.

Objective: The aim of the current study was to address this gap and examine changes in resting-state connectivity between large-scale network nodes using a randomized, double-blind, within-subjects crossover study design.