OVERVIEW

Case-Based Imaging Review Online Course is organized by American Roentgen Ray Society (ARRS).

Date of issuance: June 1, 2016
Date of expiration: May 31, 2022

Target audience:
The target audience for this activity includes in-training radiologists preparing for exams and active practice, as well as practicing radiologists with an interest in honing their diagnostic skills.

Course Description:
Approach to Diagnosis: A Case Based Imaging Review ("Review Course") is designed to prepare initial and recertifying radiologists for the Diagnostic Radiology and Diagnostic Radiology Subspecialty Exams. This course is designed at its core to offer knowledge every competent practicing radiologist needs to know in order to treat patients competently and confidently. Needs sources include the ABR exam blueprints, prior attendee course evaluations, clinical practice guidelines, peer reviewed literature, and expert defined needs.

Statement of Need:
The Approach to Diagnosis: A Case-Based Imaging Review (“Review Course”) is designed to prepare initial and recertifying radiologists for the Diagnostic Radiology and Diagnostic Radiology Subspecialty Exams. This course is designed at its core to offer knowledge every competent practicing radiologist needs to know in order to treat patients competently and confidently. Needs sources include the ABR exam blueprints, prior attendee course evaluations, clinical practice guidelines, peer-reviewed literature, and expert-defined needs.

Goals and Objectives:
Upon completion of this course, participants will possess the knowledge and skills to:
• Develop differential diagnoses for conditions in 11 radiology subspecialties.
• Recognize the imaging and clinical features that allow for refinement of differential diagnosis, allowing for a more specific diagnosis.
• Recognize some commonly encountered imaging artifacts in the subspecialties and describe why they occur and the techniques to avoid them.
• Outline management decisions affecting a variety of commonly encountered clinical scenarios.

Note: In-Training Members will receive a discounted price of $349 after login.