Comparison of Navigator Triggering Reduced Field of View and Large Field of View Diffusion-Weighted Imaging of the Pancreas. Issue 1 (January 2019)

• Record Type: Journal Article
• Authors: Mannelli, Lorenzo; Monti, Serena; Corrias, Giuseppe; Fung, Maggie M.; Nyman, Charles; Golia Pernicka, Jennifer S.; Do, Richard K.G.
• Is Part Of: Journal of computer assisted tomography. Volume 43:Issue 1(2019)
• Publication Date: 2019-01
• Subjects: pancreas -- MRI -- FOCUS -- DWI -- diffusion -- navigated; Tomography -- Periodicals; Tomography -- Periodicals; Tomography; Periodicals; 616.0757
• DOI: 10.1097/RCT.0000000000000778
• Languages: English
• ISSNs: 0363-8715

Abstract

Abstract : Rationale and Objectives: The purpose of this study is to compare image quality, presence and grade of artifacts, signal-to-noise ratio, and apparent diffusion coefficient (ADC) values in pancreatic tissue between high-resolution navigator-triggered (NT) restricted field of view (rFOV) FOCUS single-shot (SS) echo-planar imaging (EPI) diffusion-weighted imaging (DWI) and NT large FOV SS-EPI DWI. Materials and Methods: Magnetic resonance imaging examinations were performed with GE 3-T systems using a 32-channel body array coil. Seventeen consecutive patients were imaged. A 5-point scale semiquantitative grading system was used to evaluate image quality and general artifacts. Signal-to-noise ratio and ADC were measured in the head, body, and tail of the pancreas. Statistical analysis was performed using Student t test and Wilcoxon signed rank test, with differences considered significant for P value less than 0.05. Results: More artifacts were present on large FOV compared with rFOV FOCUS SS-EPI DW images ( P < 0.01). Restricted field of view image quality was subjectively better ( P < 0.01). No difference in the signal-to-noise ratio was demonstrated between the 2 image datasets. Apparent diffusion coefficient values were significantly lower ( P < 0.01) when calculated from rFOV images than large FOV images. Conclusions: Our results demonstrate better image quality and reduced artifacts in rFOV images compared with large FOV DWI. Measurements from ADC maps derived from rFOV DWI show significantly lower ADC values when compared with ADC maps derived from large FOV DWI.