ArticlePloS one2014
Breast density assessment using a 3T MRI system: comparison among different sequences.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Reproducible automated breast density measure with no ionizing radiation using fat-water decomposition MRI.Journal of magnetic resonance imaging : JMRI · 2018Trial
- MRI-based Deep Learning Models for Preoperative Breast Volume and Density Assessment Assisting Breast Reconstruction.Aesthetic plastic surgery · 2024Article
- Predicting mammographic density with linear ultrasound transducers.European journal of medical research · 2023Article
- Assessing breast density using the chemical-shift encoding-based proton density fat fraction in 3-T MRI.European radiology · 2023Article
- Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model.Journal of digital imaging · 2021Article
- Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging.Diagnostics (Basel, Switzerland) · 2020Article
- Development of patient-specific 3D-printed breast phantom using silicone and peanut oils for magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2020Article
- Using Whole Breast Ultrasound Tomography to Improve Breast Cancer Risk Assessment: A Novel Risk Factor Based on the Quantitative Tissue Property of Sound Speed.Journal of clinical medicine · 2020Article
- Quantitative Measurements of Breast Density Using Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2019Review
- Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment.Current breast cancer reports · 2019Article
- MRI Texture Analysis of Background Parenchymal Enhancement of the Breast.BioMed research international · 2017Article
- Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment.European radiology · 2016Article
- Comparison of Dixon Sequences for Estimation of Percent Breast Fibroglandular Tissue.PloS one · 2016Article
- Usefulness of IDEAL T2 imaging for homogeneous fat suppression and reducing susceptibility artefacts in brachial plexus MRI at 3.0 T.La Radiologia medica · 2016Article
- Imaging Breast Density: Established and Emerging Modalities.Translational oncology · 2015Review
- Current and Future Methods for Measuring Breast Density: A Brief Comparative Review.Breast cancer management · 2015Article
- Quantitative evaluation of background parenchymal enhancement (BPE) on breast MRI. A feasibility study with a semi-automatic and automatic software compared to observer-based scores.The British journal of radiology · 2015Article
- Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions.Biomedical physics & engineering expressArticle
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo compare MRI sequences for breast density measurements on a 3T MRI system using IDEAL (Iterative Decomposition of water and fat with Echo Asymmetry and Least squares estimation) as possible physiology-like reference. MATERIALS AND
methodsMRI examination was performed in 48 consecutive patients (mean age 41, years; range, 35-67 years) on a 3.0T scanner and 46 were included. All (fertile) women, were examined between days 5 and 15 of their menstrual cycle. MRI protocol included: T1-turbo spin-echo (T1-tSE), T2-turbo spin-echo (T2-tSE), VIBRANT (Volume Imaging for Breast Assessment) before and after injection of contrast media and IDEAL. Breast density was calculated with semi-automated software. Statistical analysis was performed with non-parametric tests.
resultsMean percentage of breast density calculated in each sequence was: T1-tSE = 56%; T2-tSE = 52%; IDEAL FatOnly = 55%; IDEAL WaterOnly = 53%, VIBRANT = 55%. Significant differences were observed between T2-tSE and both T1-tSE (p<0.001), VIBRANT sequences (p = 0.009), T1-tSE and both IDEAL WaterOnly (p = 0.007) and IDEAL FatOnly (p = 0.047). Breast density percentage showed a positive linear correlation among different sequences: r ≥ 0.93.
conclusionsDifferences exist between MRI sequences used to assess breast density percentage. T1-weighted sequences values were similar to IDEAL sequences.
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