Abstract
Objective The objective of this study was to compare the image quality and apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) with modified reduced field of view (FOV) based on 2-dimensional (2D)-selective radiofrequency excitations by tilting the excitation plane in prostate with reduced FOV using parallel-transmit-accelerated 2D-selective radiofrequency excitation and single-shot echo planar imaging (ssEPI). Methods Fifty patients who underwent multiparametric magnetic resonance imaging including 3 DWIs were included. Two observers independently performed qualitative image analyses using 5-point scale. Apparent diffusion coefficient measurements were performed for quantitative analysis. Results Modified reduced FOV provided the highest qualitative scores for all categories compared with reduced FOV and ssEPI (P < 0.000). Both reduced FOV DWIs showed higher ADC values compared with ssEPI (P < 0.001); however, the ADC ratios between the lesion and peripheral zone were not significantly different (all P > 0.05). Conclusions The modified reduced FOV DWI showed better overall image quality, differentiability of anatomic regions, and lesion conspicuity with fewer artifacts compared with DWI with reduced FOV and ssEPI.
| Original language | English |
|---|---|
| Pages (from-to) | 367-373 |
| Number of pages | 7 |
| Journal | Journal of Computer Assisted Tomography |
| Volume | 45 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2021 |
Bibliographical note
Funding Information:From the *Department of Radiology, Soonchunhyang University Seoul Hospital; †Siemens Healthineers Ltd, Seoul, Korea; and ‡Siemens Healthcare GmbH, Erlangen, Germany. Received for publication September 15, 2020; accepted January 16, 2021. Correspondence to: Jiyoung Hwang, MD, PhD, Department of Radiology, Soonchunhyang University Hospital, Seoul 59 Daesakwan-ro, Yongsan-ku, Seoul 04401, Korea (e‐mail: [email protected]). This study was funded by Soonchunhyang University Research Fund. The authors declare no conflict of interest. Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved. DOI: 10.1097/RCT.0000000000001156
Publisher Copyright:
© Wolters Kluwer Health, Inc. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- 2D-selective radiofrequency excitation
- diffusion-weighted image
- MRI
- prostate cancer
- reduced field of view
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