Use of Cardiac MRI in the Diagnosis of Rare Right Ventricular Noncompaction.

Ventricular noncompaction, also previously known as spongy myocardium, is an inherited primary genetic cardiomyopathy. Noncompaction of the left ventricle is seen in the general population typically in the setting of other congenital heart defects and can be a cause of significant morbidity and mortality. Right ventricular noncompaction is a rare form of cardiomyopathy with no definitive diagnostic criteria. Diagnosis of noncompaction of the right ventricle can be concluded using guidance from the diagnostic criteria for left ventricular noncompaction with multi-modality imaging.

MR diagnosed chronic exertional compartment syndrome successfully treated by endoscopically-assisted fasciotomy.

Chronic exertional compartment syndrome is a subset of compartment syndrome that most frequently affects the lower extremities, often in athletic persons. It is most often characterized by calf pain shortly after the initiation of exercise and resolution of the pain soon after rest. While the pathophysiology is not completely understood, it is believed that compartment a lack of fascial compliance and increased compartment fluid leads to increased pressure, ultimately leading to a reversible ischemic state. Chronic exertional compartment syndrome was once considered a diagnosis of exclusion; however, needle manometry is an invasive way to measure intracompartmental pressure. Similarly, fasciotomy is the treatment of choice but is not without complications. We describe a case of chronic exertional compartment syndrome diagnosed by two-stage MRI and successfully treated by endoscopically-assisted fasciotomy.

The TechnoPhysics Year: Transformation of Diagnostic Radiology's Clinical Year as a Matter of Necessity.

Given that artificial intelligence and machine learning is now a reality of modern existence, rapidly being applied to medicine, and especially radiology, we submit a new educational perspective. By codifying technology education during the diagnostic radiology internship, we believe it is not only possible but necessary, to reframe the identity of diagnostic radiology. This paper describes the restructuring of the radiology clinical internship, limiting clinical rotations to high-yield essentials, thereby allowing for the introduction of data and technology science, and comprehensive medical physics training. By linking modality-immersion based training with the physics of each technology, we postulate a more thorough understanding and, ultimately, the mastery of current and future technological innovations. Concurrently we advocate for the study of artificial intelligence and machine learning in order to understand how radiologists can apply this technology to help patients on the precision and population health levels. This training would allow interns to spend the majority of their time under the umbrella of a radiology department, in lieu of multiple rotations on an assortment of clinical services. An in-depth technology and physics exam at the end of the internship would be a natural transition to the start of the R1 year, allowing for the application of this newly attained knowledge throughout their residency. Diagnostic radiologists have led medicine into the digital era, and now we should lead the medical community into this transformational era as the "Data-Driven Physician" of the 21st century.