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A Comparison of Methods for High-Spatial-Resolution Diffusion-weighted Imaging in Breast MRI

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Journal Radiology
Specialty Radiology
Date 2020 Aug 26
PMID 32840468
Citations 14
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Abstract

Background Diffusion-weighted imaging (DWI) shows promise in detecting and monitoring breast cancer, but standard spin-echo (SE) echo-planar DWI methods often have poor image quality and low spatial resolution. Proposed alternatives include readout-segmented (RS) echo-planar imaging and axially reformatted (AR)-simultaneous multislice (SMS) imaging. Purpose To compare the resolution and image quality of standard SE echo-planar imaging DWI with two high-spatial-resolution alternatives, RS echo-planar and AR-SMS imaging, for breast imaging. Materials and Methods In a prospective study (2016-2018), three 5-minute DWI protocols were acquired at 3.0 T, including standard SE echo-planar imaging, RS echo-planar imaging with five segments, and AR-SMS imaging with four times slice acceleration. Participants were women undergoing breast MRI either as part of a treatment response clinical trial or undergoing breast MRI for screening or suspected cancer. A commercial breast phantom was imaged for resolution comparison. Three breast radiologists reviewed images in random order, including clinical images indicating the lesion, images with value of 800 sec/mm, and apparent diffusion coefficient (ADC) maps from the three randomly labeled DWI methods. Readers measured the longest dimension and lesion-average ADC on three DWI methods, reported measurement confidence, and rated or ranked the quality of each image. The scores were fit to a linear mixed-effects model with intercepts for reader and subject. Results The smallest feature (1 mm) was only detectible in a phantom on images from AR-SMS DWI. Thirty lesions from 28 women (mean age, 50 years ± 13 [standard deviation]) were evaluated. On the five-point Likert scale for image quality, AR-SMS imaging scored 1.31 points higher than SE echo-planar imaging and 0.74 points higher than RS echo-planar imaging, whereas RS echo-planar imaging scored 0.57 points higher than SE echo-planar imaging (all < .001). Conclusion The axially reformatted simultaneous multislice protocol was rated highest for image quality, followed by the readout-segmented echo-planar imaging protocol. Both were rated higher than the standard spin-echo echo-planar imaging. © RSNA, 2020 See also the editorial by Partridge in this issue.

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References
1.
Partridge S, Zhang Z, Newitt D, Gibbs J, Chenevert T, Rosen M . Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial. Radiology. 2018; 289(3):618-627. PMC: 6283325. DOI: 10.1148/radiol.2018180273. View

2.
Van Essen D, Smith S, Barch D, Behrens T, Yacoub E, Ugurbil K . The WU-Minn Human Connectome Project: an overview. Neuroimage. 2013; 80:62-79. PMC: 3724347. DOI: 10.1016/j.neuroimage.2013.05.041. View

3.
Setsompop K, Gagoski B, Polimeni J, Witzel T, Wedeen V, Wald L . Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn Reson Med. 2011; 67(5):1210-24. PMC: 3323676. DOI: 10.1002/mrm.23097. View

4.
Singer L, Wilmes L, Saritas E, Shankaranarayanan A, Proctor E, Wisner D . High-resolution diffusion-weighted magnetic resonance imaging in patients with locally advanced breast cancer. Acad Radiol. 2011; 19(5):526-34. PMC: 3319166. DOI: 10.1016/j.acra.2011.11.003. View

5.
Taviani V, Alley M, Banerjee S, Nishimura D, Daniel B, Vasanawala S . High-resolution diffusion-weighted imaging of the breast with multiband 2D radiofrequency pulses and a generalized parallel imaging reconstruction. Magn Reson Med. 2016; 77(1):209-220. PMC: 8158261. DOI: 10.1002/mrm.26110. View