DIAGNOSIS AND TREATMENT OF MICROSCOPIC COLITIS: POSITION PAPER ON BEHALF OF THE BRAZILIAN FEDERATION OF GASTROENTEROLOGY.

Background: Microscopic colitis (MC) is a chronic inflammatory condition of the colon, primarily characterized by watery diarrhea, with normal or near-normal endoscopic findings. It encompasses two main subtypes: lymphocytic colitis and collagenous colitis.

Objective: This position paper from the Brazilian Federation of Gastroenterology aims to review current evidence on the diagnosis and management of MC in Brazil, emphasizing the need for standardization across the country's healthcare systems.

Unexpected Spinal Epidural Abscess: A Real Emergency.

Cervical and lower back pain are classic reasons for patients to seek care in the emergency department (ED). However, in rare instances, they signal serious underlying conditions, posing a significant diagnostic challenge. A 72-year-old male with history of lumbar spine surgery many years ago presented to the ED with neck pain for the last five days as well as bilateral lower limb weakness and feet paresthesia.

Immediate Effects of Distinct Intensities of Transcutaneous Spinal Direct Current Stimulation on Chronic Pain: A Randomized Controlled Trial.

This study aimed to assess the immediate effects of transcutaneous spinal direct current stimulation (tsDCS) on pain outcomes, measured using the visual analog scale (VAS) and pressure pain thresholds in a cohort of 55 participants experiencing chronic pain using a controlled, randomized trial with 55 participants allocated into 2 groups: 2 mA and 0.5 mA of tsDCS for 20 min. Anodal stimulation was applied on the 12th thoracic vertebra, with the cathode positioned on the 7th cervical vertebra.

Assessing Patient Health Dynamics by Comparative CT Analysis: An Automatic Approach to Organ and Body Feature Evaluation.

The integration of machine learning into the domain of radiomics has revolutionized the approach to personalized medicine, particularly in oncology. Our research presents RadTA (RADiomics Trend Analysis), a novel framework developed to facilitate the automatic analysis of quantitative imaging biomarkers (QIBs) from time-series CT volumes. RadTA is designed to bridge a technical gap for medical experts and enable sophisticated radiomic analyses without deep learning expertise.