Marco Macchini1, Martina Ponziani2, Andrea Prochowski Iamurri3, Mirco Pistelli4, Mariagrazia De Lisa4, Rossana Berardi4, Gian Marco Giuseppetti5,6. 1. Sc. Spec. Radiologia, Università Politecnica delle Marche, Ancona, Italy. marcomacchini@me.com. 2. Sc. Spec. Radiologia, Università Politecnica delle Marche, Ancona, Italy. 3. DiSCO, Università Politecnica delle Marche, Ancona, Italy. 4. Azienda Ospedaliero Universitaria Ospedali Riuniti Clinica di Oncologia, Università Politecnica delle Marche, Ancona, Italy. 5. Azienda Ospedaliero Universitaria Ospedali Riuniti Clinica di Radiologia, Università Politecnica delle Marche, Ancona, Italy. 6. Dipartimento Radiologia Clinica, Ospedali Riuniti Azienda Ospedaliero Universitaria Ospedali Riuniti, Via Tronto 10, 60126, Ancona, AN, Italy.
Abstract
OBJECTIVE: The purpose of this retrospective study is to find a correlation between dynamic contrast-enhanced MR features with histological, immunohistochemical and loco-regional characteristics of breast cancer. MATERIALS AND METHODS: A total of 149 patients with histopathologically confirmed invasive breast carcinoma underwent MR imaging. Histological analysis included: histological features (histological type, necrosis, vascular invasion and Mib-1), immunohistochemical characterization (immunophenotype, receptor status, HER2-neu and grading) and loco-regional characteristics (T and N). The kinetic MR features analyzed were: curve type, maximum enhancement, time to peak, wash-in and wash-out rate, brevity of enhancement and area under curve. RESULTS: MRI kinetic parameters and immunohistological features were compared using chi square test, two-tailed student t test and Anova test, with p = 0.05 level of significance. Vascular invasion was shown to be significantly related to time to peak (p = 0.02). The immunohistotype was shown to be significantly related with maximum enhancement (p = 0.05), time to peak (p = 0.04) and wash-in rate (p = 0.01). ER status correlates with maximum and relative enhancement (p = 0.004 and p = 0.028), wash-in rate (p = 0.0018) and area under curve (p = 0.006). PR status was significantly related to time to peak (p = 0.048) and wash-in rate (p = 0.05). CONCLUSION: Maximum enhancement absolute and relative, time to peak, wash-in rate and area under the curve significantly correlate with several prognostic factors, like ER status, immune profile and tumoral vascular invasion, and may predict the aggressiveness of the tumor.
OBJECTIVE: The purpose of this retrospective study is to find a correlation between dynamic contrast-enhanced MR features with histological, immunohistochemical and loco-regional characteristics of breast cancer. MATERIALS AND METHODS: A total of 149 patients with histopathologically confirmed invasive breast carcinoma underwent MR imaging. Histological analysis included: histological features (histological type, necrosis, vascular invasion and Mib-1), immunohistochemical characterization (immunophenotype, receptor status, HER2-neu and grading) and loco-regional characteristics (T and N). The kinetic MR features analyzed were: curve type, maximum enhancement, time to peak, wash-in and wash-out rate, brevity of enhancement and area under curve. RESULTS: MRI kinetic parameters and immunohistological features were compared using chi square test, two-tailed student t test and Anova test, with p = 0.05 level of significance. Vascular invasion was shown to be significantly related to time to peak (p = 0.02). The immunohistotype was shown to be significantly related with maximum enhancement (p = 0.05), time to peak (p = 0.04) and wash-in rate (p = 0.01). ER status correlates with maximum and relative enhancement (p = 0.004 and p = 0.028), wash-in rate (p = 0.0018) and area under curve (p = 0.006). PR status was significantly related to time to peak (p = 0.048) and wash-in rate (p = 0.05). CONCLUSION: Maximum enhancement absolute and relative, time to peak, wash-in rate and area under the curve significantly correlate with several prognostic factors, like ER status, immune profile and tumoral vascular invasion, and may predict the aggressiveness of the tumor.
Entities:
Keywords:
Breast MRI; Breast cancer; Breast cancer subtypes; Magnetic resonance imaging
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