Predictive factors of major deviation (&gt;20 mm) between lesion sizes measured by magnetic resonance imaging and histology for invasive lobular breast cancer

Invasive lobular cancer (ILC) is the second most common type of breast cancer. It is characterized by a unique growth pattern making it difficult to detect on conventional breast imaging. ILC can be multicentric, multifocal, and bilateral, with a high likelihood of incomplete excision after breast-conserving surgery. We reviewed the conventional as well as newly emerging imaging modalities for detecting and determining the extent of ILC- and compared the main advantages of MRI vs. contrast-enhanced mammogram (CEM). Our review of the literature finds that MRI and CEM clearly surpass conventional breast imaging in terms of sensitivity, specificity, ipsilateral and contralateral cancer detection, concordance, and estimation of tumor size for ILC. Both MRI and CEM have each been shown to enhance surgical outcomes in patients with newly diagnosed ILC that had one of these imaging modalities added to their preoperative workup.

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Predictive factors of major deviation (>20 mm) between lesion sizes measured by magnetic resonance imaging and histology for invasive lobular breast cancer

Cited by 2 publications

References 23 publications

Performance Analysis of Machine Learning, Deep Learning and Ensemble Techniques for Breast Cancer Diagnosis

Performance Analysis of Machine Learning, Deep Learning and Ensemble Techniques for Breast Cancer Diagnosis

Invasive Lobular Carcinoma: A Review of Imaging Modalities with Special Focus on Pathology Concordance

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