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American Journal of Roentgenology (AJR)



This new member benefit features discussion from leading experts on some of AJR’s most controversial, cutting edge articles—broadcasted live, online, with CME. 

Upcoming Webinars

Imaging Genetic Heterogeneity in Glioblastoma and other Glial Tumors: Review of Current Methods and Future Directions
January 17, 2018

Broadcasted Live and Online 12:00 noon–1:00 pm, Eastern Time
Moderator: James Provenzale
Speaker: Christopher G. Filippi, MD

This AJR Live Webinar offers 1 CME Credit.

ARRS Member Price: $0
ARRS In-Training Member Price: $0
Nonmember Price: $99

This webinar will feature discussion among experts on the emerging fields of machine learning and deep learning in radiology by focusing predominantly on its potential uses in the neuroimaging of glioma. Following a brief introduction into the basic terms and methodology, there will be an in-depth focus on the genetics of glioma, which play a key role in determining its MR features. Although tissue biopsies of glioma remain the crucial “gold standard” for genetic profiling, machine-learning approaches offer promise as a rapid, low-risk approximation which may be helpful in areas that do not have access to genetic sequencing technology or in case of delays related to surgical planning (i.e. medically unstable patient or difficult surgical approach) or pathologic assessment. Machine-learning approaches may help analyze the peritumoral environment pre-operatively and may help distinguish recurrence from treatment effects as well as prediction potential areas of recurrence.  Preliminary data or “works in progress” using deep learning will be highlighted in the following domains: hemorrhage detection on non-contrast ER head CT, determination of ACL tears on routine knee MR, quantification of breast parenchymal density and background enhancement on breast MR, and image reconstruction from sparsely sampled k-space. Be sure to read the AJR article on this topic.

Learning Outcomes

  • Review the changes to the WHO classification for glial neoplasms that are based on genetic information.
  • Explain how the genetics of glioma influences MR imaging features.
  • Review how the genetic profiles of different glial tumors informs the response to treatment and prognosis. 
  • Develop an understanding of machine-learning approaches to image interpretation including feature selection, classifier types, convolutional neural networks, and accuracy assessment.

Harmonizing Recommendations for Screening Mammography

February 21 ● 12:00 noon–1:00 pm, Eastern Time
Moderator: Marcia C. Javitt, MD, Rambam Health Care Campus
Haifa, Israel
Speakers: Mark A Helvie, MD, University of Michigan, and Robert Smith, PhD, American Cancer Society 
This AJR Live Webinar offers 1 CME Credit.

ARRS Member Price: $0
ARRS In-Training Member Price: $0
Nonmember Price: $99

 


 

Screening for Lung Cancer: Effective Recruitment Methods

March 21 ● 12:00 noon–1:00 pm, Eastern Time
This AJR Live Webinar offers 1 CME Credit.

ARRS Member Price: $0
ARRS In-Training Member Price: $0
Nonmember Price: $99

 


 

The American Roentgen Ray Society (ARRS) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education activities for physicians.

The ARRS designates this live activity for a maximum of 1.00 AMA PRA Category 1 Credit(s). Physicians should claim only the credit commensurate with the extent of their participation in the activity.