Speaker(s): 

Rafael Martinez-Perez , MD, Staff Member, Geisinger - has nothing to disclose.

 

Learning Objectives: 

At the conclusion of this session, the participant should be able to:

  • recognize the anatomical landmarks and surgical principles of the MIPLATTA approach in neurosurgery.
  • discuss the advantages and limitations of the minipterional approach compared to traditional approaches in skull base surgery
  • review the indications and patient selection criteria for utilizing the MIPLATTAapproach in different neurosurgical procedures.
  • evaluate the outcomes and functional results of patients undergoing surgery via the minipterional approach, including postoperative complications and long-term follow-up.
  • compare and contrast the minipterional approach with other minimally invasive techniques and discuss its role in the evolving landscape of neurosurgical interventions.
  • illustrate surgical techniques and tips for optimizing outcomes when employing the minipterional approach in complex neurosurgical cases.
  • discuss recent advancements and innovations related to the minipterional approach, such as intraoperative imaging modalities and adjunctive technologies.
  • discuss future directions and potential research areas aimed at further refining and improving outcomes with the minipterional approach in neurosurgery

Disclosure of Relevant Financial Relationships with/without Commercial Interests:

The Planning Committee consisting of Edward Monaco III, MD, PhD, Michel Lacroix, MD, Christopher Berry, DMSc, PA-C and Maurissa Cropf, RN have no identified disclosures. 

CE Committee Member/Content Reviewers have nothing to disclose. 

Any/All relevant financial relationships have been mitigated. 

Content Disclosure: 

This presentation/content is HIPPA compliant. 

Commerical Support for this Session

None.

Session date: 
06/07/2024 - 7:00am to 8:00am EDT
Location: 
Microsoft Teams
United States
  • 1.00 AAPA Category I CME
  • 1.00 AMA PRA Category 1 Credit
  • 1.00 ANCC
  • 1.00 Participation Credit

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