Exploring Variations in Lumbar Canal Width: An MRI Study on Asymptomatic Patients by Age and Gender.

Lumbar spinal stenosis is a common degenerative condition, especially in older adults, leading to significant morbidity. Age, gender, and lumbar level variations in spinal canal width are critical in assessing stenosis risk. Many patients exhibit radiographic narrowing without clinical symptoms.

MaskAppendix: Backbone-Enriched Mask R-CNN Based on Grad-CAM for Automatic Appendix Segmentation.

Background: A leading cause of emergency abdominal surgery, appendicitis is a common condition affecting millions of people worldwide. Automatic and accurate segmentation of the appendix from medical imaging is a challenging task, due to its small size, variability in shape, and proximity to other anatomical structures.

Methods: In this study, we propose a backbone-enriched Mask R-CNN architecture (MaskAppendix) on the Detectron platform, enhanced with Gradient-weighted Class Activation Mapping (Grad-CAM), for precise appendix segmentation on computed tomography (CT) scans.

Fully Automated Detection of the Appendix Using U-Net Deep Learning Architecture in CT Scans.

The accurate segmentation of the appendix with well-defined boundaries is critical for diagnosing conditions such as acute appendicitis. The manual identification of the appendix is time-consuming and highly dependent on the expertise of the radiologist. In this study, we propose a fully automated approach to the detection of the appendix using deep learning architecture based on the U-Net with specific training parameters in CT scans.

The diagnostic value of laboratory tests in detecting solid organ injuries in pediatric patients with blunt abdominal trauma.

Background: Computed tomography of the abdomen (CT) is used as the gold standard for detecting solid organ injuries (SOI) after blunt abdominal trauma (BAT). However, patient selection for CT is still controversial due to its potential risks. In this study, we aimed to investigate the usefulness of laboratory tests in the detection or exclusion of SOI in pediatric patients evaluated in the emergency department due to BAT.

The Flatness Index of Inferior Vena Cava can be an Accurate Predictor for Hypovolemia in Multi-Trauma Patients.

Introduction: Shock is the leading cause of death in multi-trauma patients and must be detected at an early stage to improve prognosis. Many parameters are used to predict clinical condition and outcome in trauma. Computed tomography (CT) signs of hypovolemic shock in trauma patients are not clear yet, requiring further research.