Automated brain tumor identification using magnetic resonance imaging: A systematic review and meta-analysis.

Background: Automated brain tumor identification facilitates diagnosis and treatment planning. We evaluate the performance of traditional machine learning (TML) and deep learning (DL) in brain tumor detection and segmentation, using MRI.

Methods: A systematic literature search from January 2000 to May 8, 2021 was conducted.

Pneumomediastinum following spontaneous vaginal delivery: report of a rare phenomenon.

Pneumomediastinum is the presence of mediastinal air, which raises concern for life-threatening conditions such as esophageal perforation and mediastinitis. Here, we described the case of a young female with no previous past medical history, who developed spontaneous pneumomediastinum following uncomplicated spontaneous vaginal delivery (SVD) giving birth to a healthy newborn at full term. The incidence of benign pneumomediastinum following SVD is estimated at 1 in 100 000 deliveries.

Gestational diabetes modifies the association between PlGF in early pregnancy and preeclampsia in women with obesity.

Objective: To identify clinical and biomarker risk factors for preeclampsia in women with obesity and to explore interactions with gestational diabetes, a condition associated with preeclampsia.

Study Design: In women with obesity (body mass index ≥ 30 kg/m) from the UK Pregnancies Better Eating and Activity Trial (UPBEAT), we examined 8 clinical factors (socio-demographic characteristics, BMI, waist circumference and clinical variables) and 7 biomarkers (HDL cholesterol, hemoglobin A1c, adiponectin, interleukin-6, high sensitivity C-reactive protein, and placental growth factor (PlGF)) in the early second trimester for association with later development of preeclampsia using logistic regression. Factors were selected based on prior association with preeclampsia.