ArticleIranian journal of radiology : a quarterly journal published by the Iranian Radiological Society2016
Significance of Additional Non-Mass Enhancement in Patients with Breast Cancer on Preoperative 3T Dynamic Contrast Enhanced MRI of the Breast.
Article in Iranian journal of radiology : a quarterly journal published by the Iranian Radiological Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04083027 (Patterns of Non-mass Enhancement of Breast MRI Using the BI-RADS Lexicon Fifth Edition With Histopathologic Correlation), which is not on this map. Cited by 11 papers.
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The trial behind it
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Patterns of Non-mass Enhancement of Breast MRI Using the BI-RADS Lexicon Fifth Edition With Histopathologic Correlation
Who cites it
11 citing papers in PubMed, 34 citations in OpenAlex.
- Magnetic resonance imaging findings of non-mass enhancements in the breast and their association with malignancy.Medicine · 2026Article
- Multivariable model to predict breast cancer in non-mass enhancement lesions: a study on contrast-enhanced mammography.European 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
- Subcategorization of suspicious non-mass-like enhancement lesions(BI-RADS-MRI Category4).BMC medical imaging · 2023Article
- Challenges of non-mass enhancement breast lesions mimicking malignancy encountered on breast magnetic resonance imaging.Annals of translational medicine · 2023Article
- High-risk lesions in the breast diagnosed by MRI-guided core biopsy: upgrade rates and features associated with malignancy.Breast cancer research and treatment · 2022Article
- BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.Frontiers in oncology · 2021Article
- Can enhancement types on preoperative MRI reflect prognostic factors and surgical outcomes in invasive breast cancer?European radiology · 2019Article
- Diagnostic investigation of breast magnetic resonance imaging in malignant and benign mass lesions.Archives of medical science : AMS · 2018Article
- 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.Japanese journal of radiology · 2018Article
- Takeaways from Pre-Contrast T1 and T2 Breast Magnetic Resonance Imaging in Women with Recently Diagnosed Breast Cancer.Iranian journal of radiology : a quarterly journal published by the Iranian Radiological Society · 2016Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn preoperative assessment of breast cancer, MRI has been shown to identify more additional breast lesions than are detectable using conventional imaging techniques. The characterization of additional lesions is more important than detection for optimal surgical treatment. Additional breast lesions can be included in focus, mass, and non-mass enhancement (NME) on MRI. According to the fifth edition of the breast imaging reporting and data system (BI-RADS®), which includes several changes in the NME descriptors, few studies to date have evaluated NME in preoperative assessment of breast cancer.
objectivesWe investigated the diagnostic accuracy of BI-RADS descriptors in predicting malignancy for additional NME lesions detected on preoperative 3T dynamic contrast enhanced MRI (DCE-MRI) in patients with newly diagnosed breast cancer. PATIENTS AND
methodsBetween January 2008 and December 2012, 88 patients were enrolled in our study, all with NME lesions other than the index cancer on preoperative 3T DCE-MRI and all with accompanying histopathologic examination. The MRI findings were analyzed according to the BI-RADS MRI lexicon. We evaluated the size, distribution, internal enhancement pattern, and location of NME lesions relative to the index cancer (i.e., same quadrant, different quadrant, or contralateral breast).
resultsOn histopathologic analysis of the 88 NME lesions, 73 (83%) were malignant and 15 (17%) were benign. Lesion size did not differ significantly between malignant and benign lesions (P = 0.410). Malignancy was more frequent in linear (P = 0.005) and segmental (P = 0.011) distributions, and benignancy was more frequent in focal (P = 0.004) and regional (P < 0.001) NME lesions. The highest positive predictive value (PPV) for malignancy occurred in segmental (96.8%), linear (95.1%), clustered ring (100%), and clumped (92.0%) enhancement. Asymmetry demonstrated a high positive predictive value of 85.9%. The frequency of malignancy was higher for NME lesions located in the same quadrant with the index cancer (P = 0.006), and benignancy was higher in the contralateral breast (P = 0.015). On multivariate analysis, linear (P = 0.001) and segmental (P = 0.005) distributions were significant predictors of malignancy.
conclusionThe possibility of malignancy is strongly indicated when additional NME lesions show linear or segmental enhancement on preoperative 3T DCE-MRI in patients with recently diagnosed breast cancer.
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