Four Week Radiologic Pathology Correlation Course

The Four Week Radiologic Pathology Correlation Course presents a comprehensive review of radiologic imaging with emphasis on the principles of radiologic-pathologic correlation. Approximately 95 percent of U.S. radiology residents attend the course at some point during their training. Additionally, a large number of radiology residents and fellows from Canada, Spain, Switzerland, the Netherlands, Asia and South America regularly attend the course.

The faculty includes current and former members of the Department of Radiologic Pathology at the Armed Forces Institute of Pathology (AFIP) as well as other experts in the field. All imaging modalities are discussed and the lectures cover the radiologic presentation of a broad range of diseases and pathologic basis from all organ systems. Although the course may be beneficial at any stage of training, residents generally attend in their second, third or fourth year, as most lecturers assume that participants have at least some experience with a variety of imaging modalities.

Are you an international attendee? Click here for more information. 

View Daily Course Schedule »

 Fees  2017   

 2018     

  2019  (not available for registration)  
 *Resident/Fellow $1,800    

$1,800     

 $1,900
 Non-Radiologist Resident/Fellow $1,950

$1,950

 $2,050
 Practicing Physician (ACR Member) $2,600

$2,600

 $2,700
 Practicing Physician (Nonmember) $2,850

$2,850

$2,950
 Active-Duty Military, VA and USPHS  $900

$900

 $1,000

 

 

 

 

 

2017  2018 2019 
February 6 - March 3  February 12 - March 9  February 11 - March 8
March 13 - April 7  March 19 - April 13  March 18 - April 12
July 31 - August 25  July 30 - August 24  July 29 - August 23
September 11 - October 6  September 10 - October 5        September 9 - October 4
October 16 - November 10  October 15 - November 9  October 14 - November 8

 
Objectives

  • Apply the principles of radiologic-pathologic correlation to the interpretation of radiologic studies
  • Understand the clinical and treatment implications of diseases with characteristic radiologic appearances
  • Refine differential diagnoses in various organ systems based on specific imaging features related to their underlying pathology

 
Cancellation/Refund Guidelines

Cancellations must be received in writing:

  • Cancellations less than 30 days prior to the start of any course and “no shows” will be given no refund.
  • Cancellations more than 30 days prior to the start of a four-week course will receive a refund less a $300 fee
  • Program Registration: is not complete until payment has been fully processed. Check payments must be received within 45 days of the date of registration. Any slot not paid within 45 days of registration will be cancelled

 
Transfer Policy

Transfers are permitted, however a $100 administrative fee will be assessed for transfers of any kind made up to two weeks prior to the course.  Transfers made less than two weeks prior to the course will not be permitted.

 
Four Week Late Registration Policy

Any registration received less than 30 days prior to the start of the four week course for (MIT) will be charged a $300 late fee in addition to the regular course fee. 

For course registration or login questions, please submit your inquiries to AIRPRegistrations@acr.org or call 1-800-373-2204.

 
Course Materials

Log in at http://myeducation.acr.org/diweb/mylearning to view the course PDFs after registration and payment.


*ALL RESIDENT/FELLOW RATES REQUIRE SUBMISSION OF A RAD-PATH CASE TO AIRP ARCHIVE PRIOR TO ATTENDING THE COURSE. FAILURE TO COMPLETE THIS MAY RESULT IN ADDITIONAL CHARGES TO YOUR PROGRAM.

Thoracic and Cardiovascular Categorical Course

April 2 – 5, 2018

This course will help you identify imaging characteristics of lesions involving the chest and cardiovascular system that allow for narrowing of the differential diagnosis, illustrate how the underlying pathology of the lesion contributes to its imaging characteristics and highlight those chest diseases in which radiologic imaging is key for accurate diagnosis.

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