ArticleBioMed research international2017
MRI Texture Analysis of Background Parenchymal Enhancement of the Breast.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- For want of a nail, region-based qualitative BPE.European radiology · 2026Article
- Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.BMC cancer · 2022Article
- The Predictive Value of Magnetic Resonance Imaging-based Texture Analysis in Evaluating Histopathological Grades of Breast Phyllodes Tumor.Journal of breast cancer · 2022Article
- Value of Conventional MRI Texture Analysis in the Differential Diagnosis of Phyllodes Tumors and Fibroadenomas of the Breast.Breast care (Basel, Switzerland) · 2021Article
- Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI.Journal of personalized medicine · 2021Article
- Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women.BMC medical imaging · 2021Article
- Background parenchymal enhancement on breast MRI: A comprehensive review.Journal of magnetic resonance imaging : JMRI · 2020Review
- A Gradient-Based Approach for Breast DCE-MRI Analysis.BioMed research international · 2018Article
- Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis.Computational and mathematical methods in medicine · 2018Review
- Relationship between Extension or Texture Features of Late Gadolinium Enhancement and Ventricular Tachyarrhythmias in Hypertrophic Cardiomyopathy.BioMed research international · 2018Observational
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Authors and funding
6 authors.
Funding
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Abstract
purposeThe purpose of this study was to determine texture parameters reflecting the background parenchymal enhancement (BPE) of the breast, which were acquired using texture analysis (TA).
methodsWe investigated 52 breasts of the 26 subjects who underwent dynamic contrast-enhanced MRI. One experienced reader scored BPE visually (i.e., minimal, mild, moderate, and marked). TA, including 12 texture parameters, was performed to distinguish the BPE scores quantitatively. Relationships between the visual BPE scores and texture parameters were evaluated using analysis of variance and receiver operating characteristic analysis.
resultsThe variance and skewness of signal intensity were useful for differentiating between moderate and mild or minimal BPE or between mild and minimal BPE, respectively, with the cutoff value of 356.7 for variance and that of 0.21 for skewness. Some TA features could be useful for defining breast lesions from the BPE.
conclusionTA may be useful for quantifying the BPE of the breast.
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