Radiology CME

Course Overview

This lecture covers the rarely discussed fatty structures, spaces, and potential spaces of the abdomen and pelvis. It provides information that allows the radiologist to narrow his/her differential diagnosis and/or identify likely sights of primary disease, even if invisible by imaging. This lecture covers the rarely discussed fatty structures, spaces, and potential spaces of the abdomen and pelvis. It provides information that allows the radiologist to narrow his/her differential diagnosis and/or identify likely sights of primary disease, even if invisible by imaging.

Course Overview

This 15-minute radiology CME covers acute stroke and perfusion imaging. Part three of this series focuses on case presentations, specifically non-ischemic pathologies as visualized on CT perfusion imaging. This course was first published in 2022 and has been reaccredited. 

Learning Objectives

1. Learn the essential sequences in perfusion imaging and the specific physiologic/clinical parameter each depicts.
2. Distinguish between perfusion abnormalities and alterations caused by non-ischemic pathologies such as tumor, seizure, and ICH.
3. Identify the critical imaging characteristics of salvageable brain tissue in the setting of acute stroke. 
   
   

Course Overview

This 15-minute radiology CME covers acute stroke and perfusion imaging. Part two of this series focuses on case presentations, specifically cases of ischemic events as visualized on CT perfusion imaging. This course was first published in 2022 and has been reaccredited. 

Learning Objectives

1. Learn the essential sequences in perfusion imaging and the specific physiologic/clinical parameter each depicts.
2. Distinguish between perfusion abnormalities and alterations caused by non-ischemic pathologies such as tumor, seizure, and ICH.
3. Identify the critical imaging characteristics of salvageable brain tissue in the setting of acute stroke. 
   
   

Course Overview

This 15-minute radiology CME covers acute stroke and perfusion imaging. In part one of this series, Dr. Benjamin Strong covers ASPECTS scoring, the performance of CT perfusion in imaging and the application of software analytics. This course was first published in 2022 and has been reaccredited. 

Learning Objectives

1. Learn the essential sequences in perfusion imaging and the specific physiologic/clinical parameter each depicts.
2. Distinguish between perfusion abnormalities and alterations caused by non-ischemic pathologies such as tumor, seizure, and ICH.
3. Identify the critical imaging characteristics of salvageable brain tissue in the setting of acute stroke. 
   
   

Course Overview

This lecture provides an overview of the abdominal organ injury grading system of the American Academy for the Surgery of Trauma (AAST). We will review CT imaging findings related to liver, kidney, spleen, and pancreas injury.

Course Overview

This course covers the essentials of hip anatomy, injury pathophysiology, and imaging strategies to diagnose hip and peri-hip pain accurately. Participants will learn to avoid common diagnostic pitfalls and understand the clinical significance of different presentations, enhancing both initial diagnosis and follow-up care with a strong clinical focus.

Course Overview

This course explores the role of imaging in diagnosing and managing musculoskeletal infections, covering musculoskeletal pathologies. Participants will learn to identify critical infection patterns, understand when to consult the clinical team, and use imaging for effective problem-solving and monitoring. The focus on life-threatening and complex infections makes this course vital for timely, accurate management in clinical practice.

Course Overview

This lecture provides an overview of CT patterns of lung injury/involvement in systemic processes ranging from malignancy to drug toxicity to autoimmune disease to genetic disorders. The lecture seeks to make the radiologist aware of the range of pulmonary findings expected in patients with these diagnoses.

Course Overview

ILAs are a recently described and studied finding on chest CT which are independent predictors of morbidity and mortality across a range of patients. Recognizing and categorizing ILAs can help to direct patients to diagnosis and treatment of interstitial lung disease and improve long-term outcomes.