Venous Thromboembolism Chemical Prophylaxis in Patients Undergoing Shoulder Arthroscopy.

» Venous thromboembolism (VTE) after shoulder arthroscopy is rare (0.01%-0.38%) but impacts a significant number of patients because of the high procedure volume.

Detection of Critical Spinal Epidural Lesions on CT Using Machine Learning.

Background: Critical spinal epidural pathologies can cause paralysis or death if untreated. Although magnetic resonance imaging is the preferred modality for visualizing these pathologies, computed tomography (CT) occurs far more commonly than magnetic resonance imaging in the clinical setting.

Objective: A machine learning model was developed to screen for critical epidural lesions on CT images at a large-scale teleradiology practice.

Long-term solution to malpractice crises: reduce harm to patients.

Physician executives need to lead the charge and actually reduce harm to patients. Simply capping malpractice awards or changing the rules of litigation is not enough.

Pittsburgh Regional Healthcare Initiative: a systems approach for achieving perfect patient care.

The Pittsburgh Regional Healthcare Initiative (PRHI) is an innovative model for health system change based on regionwide shared learning. By linking patient outcomes data with processes of care and sharing that information widely, PRHI supports measurable improvements in regionwide clinical practice and patient safety. In addition, through the redesign of problem solving at the front lines of care, PRHI helps health care organizations to evolve toward becoming sustainable systems of perfect patient care.

Castleman disease mimicking an aggressive retroperitoneal neoplasm.

A case of Castleman disease of the retroperitoneum in a 26-year-old woman is presented. Sonography, computed tomography, and magnetic resonance imaging demonstrated a large retroperitoneal mass with somewhat heterogeneous imaging characteristics. Although a definitive preoperative diagnosis was not possible, magnetic resonance imaging was useful in delineating the extent of the tumor and defining the characteristics of surrounding soft tissues.

Primary liver neoplasms: MR imaging with pathologic correlation.

Magnetic resonance (MR) imaging is a powerful tool in the evaluation of primary liver neoplasms. Determination of tumor extent and tissue characterization is provided with standard spin-echo T1- and T2-weighted imaging and is enhanced by the application of advanced sequences such as gradient-echo, fast spin-echo, and fat suppression techniques. Intravenously administered contrast agents, such as gadopentetate dimeglumine and superparamagnetic iron oxide, provide additional opportunities for lesion characterization.