Is there concordance of invasive breast cancer pathologic tumor size with magnetic resonance imaging?
ABSTRACT In the era of breast conservation therapy, preoperative imaging is imperative in planning a single definitive surgical treatment.
We performed a retrospective review of a prospectively collected database of patients treated at a single institution for invasive breast cancer over 5 years. Clinical and pathologic variables were analyzed with respect to magnetic resonance imaging (MRI) and pathologic tumor size using analysis of variance F tests and chi-square tests.
Of 190 patients, 53% had concordance of MRI and pathologic cancer size within .5 cm. MRI overestimated 33% and underestimated 15% of tumors. Neoadjuvant chemotherapy and lymph node status were associated with discordance. Among tumors overestimated by MRI, 65% had additional significant findings in the breast tissue around the main lesion: satellite lesions, ductal carcinoma in situ, and/or lymphovascular invasion.
Breast MRI is concordant with pathologic tumor size within .5 cm among 53% of patients. Most patients with tumors overestimated by MRI have significant findings in the surrounding breast tissue, the excision of which would be expected to benefit the patient.
Article: Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imaging.[show abstract] [hide abstract]
ABSTRACT: To explore the predictive value of MRI parameters and tumour characteristics before neoadjuvant chemotherapy (NAC) and to compare changes in tumour size and tumour apparent diffusion coefficient (ADC) during treatment, between patients who achieved pathological complete response (pCR) and those who did not. Approval by the Regional Ethics Committee and written informed consent were obtained. Thirty-one patients with invasive breast carcinoma scheduled for NAC were enrolled (mean age, 50.7; range, 37-72). Study design included MRI before treatment (Tp0), after four cycles of NAC (Tp1) and before surgery (Tp2). Data in pCR versus non-pCR groups were compared and cut-off values for pCR prediction were evaluated. Before NAC, HER2 overexpression was the single significant predictor of pCR (p = 0.006). At Tp1 ADC, tumour size and changes in tumour size were all significantly different in the pCR and non-pCR groups. Using 1.42 × 10(-3) mm(2)/s as the cut-off value for ADC, pCR was predicted with sensitivity and specificity of 88% and 80%, respectively. Using a cut-off value of 83% for tumour volume reduction, sensitivity and specificity for pCR were 91% and 80%. ADC, tumour size and tumour size reduction at Tp1 were strong independent predictors of pCR.European Radiology 12/2010; 21(6):1188-99. · 3.22 Impact Factor