Literature DB >> 29101981

ACR Appropriateness Criteria® Cranial Neuropathy.

Bruno Policeni1, Amanda S Corey2, Judah Burns3, David B Conley4, R Webster Crowley5, H Benjamin Harvey6, Jenny Hoang7, Christopher H Hunt8, Bharathi D Jagadeesan9, Amy F Juliano10, Tabassum A Kennedy11, Gul Moonis12, Jeffrey S Pannell13, Nandini D Patel14, Joel S Perlmutter15, Joshua M Rosenow16, Jason W Schroeder17, Mathew T Whitehead18, Rebecca S Cornelius19.   

Abstract

Evaluation of cranial neuropathy can be complex given the different pathway of each cranial nerve as well as the associated anatomic landmarks. Radiological evaluation requires imaging of the entire course of the nerve from its nucleus to the end organ. MRI is the modality of choice with CT playing a complementary role, particularly in the evaluation of the bone anatomy. Since neoplastic and inflammatory lesions are prevalent on the differential diagnosis, contrast enhanced studies are preferred when possible. The American College of Radiology Appropriateness Criteria are evidencebased guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AUC; Appropriate Use Criteria; Appropriateness Criteria; CT; Cranial nerves; Cranial neuropathy; MRI; Skull base

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Year:  2017        PMID: 29101981     DOI: 10.1016/j.jacr.2017.08.035

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  1 in total

Review 1.  Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review.

Authors:  Kaining Sheng; Cecilie Mørck Offersen; Jon Middleton; Jonathan Frederik Carlsen; Thomas Clement Truelsen; Akshay Pai; Jacob Johansen; Michael Bachmann Nielsen
Journal:  Diagnostics (Basel)       Date:  2022-08-03
  1 in total

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