Abstract
BackgroundMagnetic resonance imaging (MRI) of the breast represents the most sensitive imaging modality in the detection of breast cancer, with a reported sensitivity between 94 and 100%. We aim to detect the correlation between MRI findings and pathologically detected prognostic factors in malignant breast lesions.Breast parenchymal density distribution, background parenchymal enhancement pattern, lesion’s morphologic features, T2WI signal characteristics, contrast enhancement, time/signal intensity curves, and lesions localizations in breast were evaluated using dynamic MRI images. Histopathological diagnosis, maximum measurements of the lesion, histological grade, presence of estrogen and/or progesterone receptors, c-erb B2, and Ki-67 parameters were noted as prognostic factors.ResultsWe cannot detect any relationship between the breast parenchymal density and prognostic factors. Mild background breast enhancement is related with ER presence, a good prognostic factor. Histopathological grade of the lesions augmented with the increase in the lesion diameters. ADC values are not related with prognostic factors.ConclusionA mild background enhancement, an intermediate signal intensity on T2WI, a high tpeak value, and absence of pathological axillary lymph node are found to be related with good prognostic factors. An irregular contour, a huge diameter, having a type III kinetic curve, a high slopei value, and presence of pathological axillary lymph node are found to be related with poor prognostic factors. MRI can be used to predict prognostic factors in breast cancer cases.
Highlights
Magnetic resonance imaging (MRI) of the breast represents the most sensitive imaging modality in the detection of breast cancer, with a reported sensitivity between 94 and 100%
We cannot detect any relationship between the breast parenchymal density and prognostic factors
Mild background breast enhancement is related with Estrogen receptor (ER) presence, a good prognostic factor
Summary
Magnetic resonance imaging (MRI) of the breast represents the most sensitive imaging modality in the detection of breast cancer, with a reported sensitivity between 94 and 100%. Mammography and ultrasonography (US) can be insufficient in evaluating lesions behaviors, multicentricity, and distinction of residue tumorgranulation tissue and after treatment follow-up. In these situations, magnetic resonance imaging (MRI) becomes an important tool in routine imaging [1,2,3]. MRI of the breast represents the most sensitive imaging modality in the detection of breast cancer, with a reported sensitivity between 94 and 100% [1]. Seeing the fact that there is an increasing rate of relapse especially in patients who do not have an axillary metastatic lymph node, researchers began to study on minor deterministic findings, called secondary prognostic factors [4]
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