ArticleJournal of magnetic resonance imaging : JMRI2011
The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast.
Article in Journal of magnetic resonance imaging : JMRI, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characteristics and Pathologic Results of Foci on Breast Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis.Journal of magnetic resonance imaging : JMRI · 2025Pooled it
- Time-Dependent DCE-MRI Radiomics to Predict Response to Neoadjuvant Therapy in Breast Cancer: A Multicenter Study with External Validation.Diagnostics (Basel, Switzerland) · 2026Article
- Primary Hepatic Angiosarcoma: Distinct Imaging Phenotypes Mirroring Histopathologic Growth Patterns in a Retrospective Human Study.Diagnostics (Basel, Switzerland) · 2026Article
- Feasibility of Auditing Preoperative Breast MRI for Extent-of-Disease Evaluation Using the BI-RADS v2025 Manual.Radiology · 2025Article
- Role of Ultrafast Dynamic Contrast-Enhanced MRI in Breast Cancer Prognostication: Correlation Between Early Kinetic Parameters and Tumor Aggressiveness and Histopathologic Characteristics.Journal of the Korean Society of Radiology · 2025Article
- 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
- Nonmass lesions on preoperative MRI in breast cancer patients: clinical implications and prognostic significance.Scientific reports · 2025Article
- Inter-reader agreement of the BI-RADS CEM lexicon.European radiology · 2025Article
- Breast lesions on MRI in mass and non-mass enhancement: Kaiser score and modified Kaiser score + for readers of variable experience.European radiology · 2025Article
- Case report: Illustrating associated malignancies in Paget's disease using contrast-enhanced mammography.Frontiers in oncology · 2024Article
- Evaluation of Features in Probably Benign and Malignant Nonmass Enhancement in Breast MRI.International journal of breast cancer · 2024Article
- 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
- Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Quantitative classification of invasive and noninvasive breast cancer using dynamic magnetic resonance imaging of the mammary gland.Journal of clinical imaging science · 2022Article
- AI-Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer.Journal of magnetic resonance imaging : JMRI · 2021Review
- Article
- Clumped vs non-clumped internal enhancement patterns in linear non-mass enhancement on breast MRI.The British journal of radiology · 2021Article
- Utility of Tissue Classification in Invasive Ductal Carcinoma using Dynamic Magnetic Resonance Imaging of the Mammary Gland.Journal of clinical imaging science · 2021Article
- Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.European radiology · 2020Article
- A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI.European radiology experimental · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
purposeTo compare the pathology and kinetic characteristics of breast lesions with focus-, mass-, and nonmass-like enhancement. MATERIALS AND
methodsA total of 852 MRI detected breast lesions in 697 patients were selected for an IRB approved review. Patients underwent dynamic contrast enhanced MRI using one pre- and three to six postcontrast T(1)-weighted images. The "type" of enhancement was classified as mass, nonmass, or focus, and kinetic curves quantified by the initial enhancement percentage (E(1)), time to peak enhancement (T(peak)), and signal enhancement ratio (SER). These kinetic parameters were compared between malignant and benign lesions within each morphologic type.
resultsA total of 552 lesions were classified as mass (396 malignant, 156 benign), 261 as nonmass (212 malignant, 49 benign), and 39 as focus (9 malignant, 30 benign). The most common pathology of malignant/benign lesions by morphology: for mass, invasive ductal carcinoma/fibroadenoma; for nonmass, ductal carcinoma in situ (DCIS)/fibrocystic change(FCC); for focus, DCIS/FCC. Benign mass lesions exhibited significantly lower E(1), longer T(peak), and lower SER compared with malignant mass lesions (P < 0.0001). Benign nonmass lesions exhibited only a lower SER compared with malignant nonmass lesions (P < 0.01).
conclusionBy considering the diverse pathology and kinetic characteristics of different lesion morphologies, diagnostic accuracy may be improved.
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