ArticleMagnetic resonance in medicine2016
Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- [Breast MRI: Kaiser score agreement with and without diffusion].Revista medica del Instituto Mexicano del Seguro Social · 2026Observational
- Breast MRI in patients with implantable loop recorder: initial experience.European radiology · 2024Article
- Relaxation-Diffusion T2-ADC Correlations in Breast Cancer Patients: A Spatiotemporally Encoded 3T MRI Assessment.Diagnostics (Basel, Switzerland) · 2023Article
- Breast MRI during pregnancy and lactation: clinical challenges and technical advances.Insights into imaging · 2022Review
- Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeEvaluate 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.
methodsSeven healthy volunteers with breast augmentation were scanned at 3 Tesla (T) using customized SPEN sequences yielding separate silicone and water (1) H images in one scan, together with their corresponding diffusion-weightings.
resultsSPEN'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.
conclusionSPEN-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.
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Registered trials
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