Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI.

Background: Late Gadolinium-enhancement in cardiac magnetic resonance imaging (LGE-CMR) is the gold standard for assessing myocardial infarction (MI) size. Texture-based probability mapping (TPM) is a novel machine learning-based analysis of LGE images of myocardial injury. The ability of TPM to assess acute myocardial injury has not been determined.

A New Canonical Log-Euclidean Kernel for Symmetric Positive Definite Matrices for EEG Analysis (Oct 2024).

Objective: Working with the Riemannian manifold of symmetric positive-definite (SPD) matrices has become popular in electroencephalography (EEG) analysis. Frequently selected for its speed property is the manifold geometry provided by the log-euclidean Riemannian metric. However, the kernels used in the log-euclidean framework are not canonically based on the underlying geometry.

Familial chylomicronemia syndrome caused by two genetic variants in the APOA5 gene: Severe hypertriglyceridemia that complicates pregnancy.

A case of a 29-year-old female patient with a history of a single episode of hypertriglyceridemia-induced pancreatitis 4 years prior is reported. She had been treated with fibrates until 2 months before conception and required hospitalization at 33 weeks of gestation due to severe hypertriglyceridemia (6690 mg/dL) and gestational diabetes. Upon hospital admission, there was no evidence of pancreatitis.

The incidence and outcome of acute kidney injury during pediatric kidney tumor treatment-a national cohort study.

Background: Acute kidney injury (AKI) is a serious complication of pediatric cancer treatment that is suggested to increase the risk of chronic kidney disease (CKD). Children with a kidney tumor may be at particular risk. This study aimed to determine the incidence and risk factors of AKI and its association with CKD during pediatric kidney tumor treatment.