Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding

    loading  Checking for direct PDF access through Ovid

Abstract

Purpose:

Evaluate the usefulness of diffusion-weighted spatiotemporally encoded (SPEN) methods to obtain apparent diffusion coefficient (ADC) maps of fibroglandular human breast tissue, in the presence of silicone implants.

Methods:

Seven healthy volunteers with breast augmentation were scanned at 3 Tesla (T) using customized SPEN sequences yielding separate silicone and water 1H images in one scan, together with their corresponding diffusion-weightings.

Results:

SPEN's ability to deliver multiple spectrally resolved images in a single scan, coupled to the method's substantial robustness to magnetic field heterogeneities, served to acquire ADC maps that could be freed from contributions that did not belong to fibroglandular tissue.

Conclusion:

SPEN-based sequences incorporating spectral discrimination and diffusion-weighting enable the acquisition of reliable ADC maps despite the presence of dominant signals from silicone implants, thereby opening new screening possibilities for the identification of malignancies in breast augmented patients. Magn Reson Med 75:2064–2071, 2016. © 2015 Wiley Periodicals, Inc.

Related Topics

    loading  Loading Related Articles