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MRI of the breast--histopathologic correlation
S H Heywang1, R Bassermann, G Fenzl
1Dept. of Radiology, Klinikum Grosshadern, University of Munich, W-Germany.
European Journal of Radiology
|August 1, 1987
Summary
Magnetic resonance imaging (MRI) T2-weighted images can reveal internal structures of breast masses, correlating with histopathology. However, differentiating benign from malignant irregular lesions based on MRI signal intensity remains challenging.
Area of Science:
- Radiology
- Oncology
- Pathology
Background:
- Breast mass characterization is crucial for diagnosis.
- Magnetic Resonance Imaging (MRI) offers detailed anatomical and tissue information.
- Histopathological correlation is the gold standard for breast lesion diagnosis.
Purpose of the Study:
- To evaluate the correlation between MRI signal intensities and histopathological findings in solid breast masses.
- To assess the utility of T1- and T2-weighted MRI sequences in differentiating benign and malignant breast lesions.
Main Methods:
- Retrospective analysis of 132 solid breast masses examined by MRI.
- Histopathological correlation of MRI findings.
- Visual evaluation of T1- and T2-weighted SE and multi-echo MRI sequences.
Main Results:
- T2-weighted MRI signal intensities correlated with tissue composition (fibrosis, cells, water).
- Characteristic internal structures reflecting histopathology were visible in some lesions on T2-weighted images.
- Signal intensity differences were noted between fibroadenomas with high fibrosis and other well-circumscribed lesions (fibroadenomas, carcinomas).
- Discrimination between benign and malignant irregular lesions based on signal intensity or T1/T2 values was not consistently possible due to overlapping compositions.
Conclusions:
- T2-weighted MRI can provide insights into the histopathological composition of certain breast masses.
- MRI signal intensity alone is insufficient for reliably differentiating all benign from malignant irregular breast lesions.
- The similar composition of benign and malignant irregular lesions contributes to diagnostic overlap on MRI.