ArticleFrontiers in oncology2020
Differentiation of Breast Lesions and Distinguishing Their Histological Subtypes Using Diffusion-Weighted Imaging and ADC Values.
Article in Frontiers in oncology, 2020. 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.
- Hybrid [Bioengineering (Basel, Switzerland) · 2026Article
- The role of magnetic resonance imaging (MRI) in breast cancer molecular subtypes.Polish journal of radiology · 2026Review
- Optimization of the Non-Local Means Algorithm for Breast Diffusion-Weighted Magnetic Resonance Imaging Using a 3D-Printed Breast-Mimicking Phantom.Life (Basel, Switzerland) · 2025Article
- Non-contrast Breast MR Imaging.Radiologic clinics of North America · 2024Review
- Histogram analysis of multi-model high-resolution diffusion-weighted MRI in breast cancer: correlations with molecular prognostic factors and subtypes.Frontiers in oncology · 2023Article
- The utility of diffusion-weighted imaging for differentiation of phyllodes tumor from fibroadenoma and breast cancer.Frontiers in oncology · 2023Article
- Value of magnetic resonance diffusion combined with perfusion imaging techniques for diagnosing potentially malignant breast lesions.World journal of clinical cases · 2022Article
- Differentiation of Benign and Malignant Breast Lesions Using ADC Values and ADC Ratio in Breast MRI.Diagnostics (Basel, Switzerland) · 2022Article
- Contribution of Diffusion-Weighted Imaging and ADC Values to Papillary Breast Lesions.Frontiers in oncology · 2022Article
- Application of Diffusion Weighted Imaging Techniques for Differentiating Benign and Malignant Breast Lesions.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Diffusion-weighted imaging (DWI) has not been well explored in differentiation of malignant from benign breast lesions. The aims of this study were to examine the role of apparent diffusion coefficient (ADC) values in differentiation of malignant from benign tumors and distinguishing histological subtypes of malignant lesions, and to determine correlations between ADC values and breast tumors structure. This cohort-study included 174 female patients who underwent contrast-enhanced breast MR examination on a 3T scanner and were divided into two groups: patient group (114 patients with proven tumors) and control group (60 healthy patients). One-hundred-thirty-nine lesions (67 malignant and 72 benign) were detected and pathohistologically analyzed. Differences between variables were tested using chi-square test; correlations were determined using Pearson's correlation test. For determination of cut off values for diagnostic potential, Receiver Operating Characteristic curves were constructed. Statistical significance was set at
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