ArticleJapanese journal of radiology2018
Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy.
Article in Japanese journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Additional diagnostic value of lesion visibility on diffusion-weighted imaging for differentiating BI-RADS category 4 MRI-detected breast lesions.Japanese journal of radiology · 2026Article
- Dynamic curve type serves as an effective tool for the diagnosis of benign or malignant non-mass enhancements on breast MRI.Oncology letters · 2026Article
- Magnetic resonance imaging findings of non-mass enhancements in the breast and their association with malignancy.Medicine · 2026Article
- Predicting preoperative axillary lymph node metastasis to guide surgical decisions in invasive breast cancer.Frontiers in oncology · 2026Article
- Segmental Non-Mass Enhancement Features in Breast Magnetic Resonance Imaging: A Multicenter Retrospective Study of Histopathologic Correlations.Diagnostics (Basel, Switzerland) · 2025Article
- Histogram analysis of relaxometry from synthetic MRI for differentiation of breast BI-RADS 4 non-mass enhancement lesions.BMC medical imaging · 2025Article
- Immunoglobulin G4-related sclerosing mastitis: MRI findings and the literature review.Immunologic research · 2025Review
- An Updated Systematic Review and Meta-Analysis of Diagnostic Accuracy of Dynamic Contrast Enhancement and Diffusion-Weighted MRI in Differentiating Benign and Malignant Non-Mass Enhancement Lesions.Journal of clinical medicine · 2025Review
- Characteristics of Suspicious Breast Lesions Visible Only on MR Imaging: Is It Possible to Classify into Immediate Biopsy and Careful Observation Groups?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- Magnetic resonance imaging features and diagnostic value analysis of non-mass enhancement lesions of the breast.Quantitative imaging in medicine and surgery · 2025Article
- Characteristics of Non-mass Enhancement in Contrast-enhanced Breast MRI and Associations with Malignancy.Journal of Cancer · 2025Article
- Correlation analysis of multiparametric magnetic resonance imaging features and molecular subtypes of breast cancer.Journal of clinical imaging science · 2025Article
- Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase Convolution.Journal of imaging informatics in medicine · 2024Article
- Investigation of imaging features in contrast-enhanced magnetic resonance imaging of benign and malignant breast lesions.Japanese journal of radiology · 2024Article
- Prognostic Molecular Biomarkers in Breast Cancer Lesions with Non-Mass Enhancement on MR.Diagnostics (Basel, Switzerland) · 2024Article
- Evaluation of Features in Probably Benign and Malignant Nonmass Enhancement in Breast MRI.International journal of breast cancer · 2024Article
- Subcategorization of suspicious non-mass-like enhancement lesions(BI-RADS-MRI Category4).BMC medical imaging · 2023Article
- Use of a deep learning algorithm for non-mass enhancement on breast MRI: comparison with radiologists' interpretations at various levels.Japanese journal of radiology · 2023Article
- Magnetic resonance imaging diagnosis of non-mass enhancement of the breast.Journal of medical ultrasonics (2001) · 2023Review
- Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions.The British journal of radiology · 2022Article
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6 authors.
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Abstract
purposeTo analyze the association of breast non-mass enhancement descriptors in the BI-RADS 5th edition with malignancy, and to establish a grading system and categorization of descriptors. MATERIALS AND
methodsThis study was approved by our institutional review board. A total of 213 patients were enrolled. Breast MRI was performed with a 1.5-T MRI scanner using a 16-channel breast radiofrequency coil. Two radiologists determined internal enhancement and distribution of non-mass enhancement by consensus. Corresponding pathologic diagnoses were obtained by either biopsy or surgery. The probability of malignancy by descriptor was analyzed using Fisher's exact test and multivariate logistic regression analysis. The probability of malignancy by category was analyzed using Fisher's exact and multi-group comparison tests.
resultsOne hundred seventy-eight lesions were malignant. Multivariate model analysis showed that internal enhancement (homogeneous vs others, p < 0.001, heterogeneous and clumped vs clustered ring, p = 0.003) and distribution (focal and linear vs segmental, p < 0.001) were the significant explanatory variables. The descriptors were classified into three grades of suspicion, and the categorization (3, 4A, 4B, 4C, and 5) by sum-up grades showed an incremental increase in the probability of malignancy (p < 0.0001).
conclusionThe three-grade criteria and categorization by sum-up grades of descriptors appear valid for non-mass enhancement.
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