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Multi-modal ct imaging learning center
Interested in building expertise in neuroimaging interpretation? ANVC is excited to offer a new neuroimaging resource to support ongoing learning needs! Gain access to our CEU/CME accredited Multi-Modal CT Imaging Learning Center and access training modules on non-contrast computed tomography (CT), CT angiography (CTA), and CT perfusion (CTP). Each module will provide imaging education to increase knowledge and skill in stroke diagnostic interpretation. Members will also be able to test their knowledge as they progress through the system.
| MODULE 1: NON-CONTRAST CT | MODULE 2: CTA & CTP |
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| PART A: Introduction to Computed Tomography (CT) Interpretation | PART A: ASPECTS Scoring |
| PART B: The Normal CT | PART B: Normal Vascular Anatomy on CT Angiography (CTA) |
| PART C: Ischemic Stroke | PART C: Abnormal Vascular Findings on CTA |
| PART D: Hemorrhagic Stroke | PART D: CT Perfusion (CTP) Imaging |
Upon completing registration, you will be sent your personal course log-in details by email.
Online access is $75 for ANVC Members.* Non-members pay $150.00 access fee.
**Purchase Allows 3 Months Access**
*Annual cost of ANVC Membership is $60.00 USD
ANVC's Refund/Cancellation policy is as follows:
Cancellation 30 days prior to event = Full Refund
Cancellation 15 days prior to event = 50% Refund
Cancellation less than 14 days prior to event = 0 Refund
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In support of improving patient care, Arizona State University is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC) to provide continuing education for the healthcare team. |
| This activity was planned by and for the healthcare team, and learners will receive a total of 1 credit hour per activity session of Interprofessional Continuing Education (IPCE) credits for learning and change. |
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The Multi-Modal CT Imaging Learning Center was made possible by an unrestricted educational grant from Viz.ai |
