Interpreting body MRI cases: what you need to know to get started.

Autor: Guglielmo FF; Department of Radiology, Thomas Jefferson University, 132 South 10th Street, Philadelphia, PA, 19107, USA. flavius.guglielmo@jefferson.edu., Kania LM; Department of Radiology, Thomas Jefferson University, 132 South 10th Street, Philadelphia, PA, 19107, USA., Ahmad HM; Department of Radiology, Thomas Jefferson University, 132 South 10th Street, Philadelphia, PA, 19107, USA., Roth CG; Department of Radiology, Thomas Jefferson University, 132 South 10th Street, Philadelphia, PA, 19107, USA., Mitchell DG; Department of Radiology, Thomas Jefferson University, 132 South 10th Street, Philadelphia, PA, 19107, USA.
Jazyk: angličtina
Zdroj: Abdominal radiology (New York) [Abdom Radiol (NY)] 2016 Nov; Vol. 41 (11), pp. 2248-2269.
DOI: 10.1007/s00261-016-0829-1
Abstrakt: Interpreting body MRI cases can seem overwhelming to an uninitiated radiologist. The standard study includes a variety of pulse sequences, the names of which vary depending on the MR vendor. Pulse sequences may be displayed haphazardly on the picture archiving and communication system (PACS), frequently not synchronized with the imaging protocol. Adding to the complexity is the use of different gadolinium-based contrast agents, which may affect the timing and diagnostic yield of each sequence. The following introductory primer for interpreting body MRI cases is meant to create a basic framework for efficiently reviewing body MRI cases to provide high quality interpretations, fully utilizing the diagnostic information of the modality. There are 4 components that need to be mastered when interpreting body MRI cases including: (1) recognizing the key sequences in a basic body MRI protocol, (2) learning how to best display the key pulse sequences on PACS, (3) understanding the technique and clinical utility of each sequence and learning how to utilize sequences to be an "MR Pathologist", and (4) understanding the key features of the different gadolinium based contrast agents.
Databáze: MEDLINE