Systematic development of an abbreviated protocol for screening breast magnetic resonance imaging.

RATIONALE & OBJECTIVES: We sought to develop an abbreviated protocol (AP) for breast MRI that maximizes lesion detection by assessing each lesion not seen on mammography by each acquisition from a full diagnostic protocol (FDP). MATERIALS & METHODS: 671 asymptomatic women (mean 55.7 years, range 40-80) with a negative mammogram were prospectively enrolled in this IRB approved study. All lesions on MRI not visualized on mammography were analyzed, reported, and suspicious lesions biopsied. In parallel, all FDP MRI acquisitions were scored by lesion to eventually create a high-yield AP. RESULTS: FDP breast MRI detected 452 findings not visible on mammography, including 17 suspicious lesions recommended for biopsy of which seven (PPV 41.2%) were malignant in six women. Mean size of the four invasive malignancies was 1.9 cm (range 0.7-4.1), all node negative; three lesions in two women were ductal carcinoma in situ. Nine biopsied lesions were benign, mean size 1.2 cm (range 0.6-2.0). All biopsied lesions were in women with dense breasts (heterogeneously or extremely dense on mammography, n = 367), for a cancer detection rate of 16.3/1000 examinations in this subpopulation. These data were used to identify four high-yield acquisitions: T2, T1-pre-contrast, T11.5, and T16 to create the AP with a scan time of 7.5 min compared to 24 min for the FDP. CONCLUSIONS: Our analysis of a FDP MRI in a mammographically negative group identified four high-yield acquisitions that could be used for rapid screening of women for breast cancer that retains critical information on morphology, histopathology, and kinetic activity to facilitate detection of suspicious lesions.

The prognostic value of additional malignant lesions detected by magnetic resonance imaging versus mammography.

BACKGROUND: Nodal positivity is correlated with a poorer prognosis in breast cancer. A study was composed to compare nodal positivity in patients with single versus multiple lesions found on magnetic resonance imaging (MRI) and mammogram (MMG). METHODS: A retrospective study of breast cancer patients undergoing MRI and MMG was performed. Nodal positivity was compared in patients with additional invasive lesions found on MRI versus single invasive lesions found on MRI and MMG. RESULTS: A total of 425 patients were included. The overall nodal positivity was 23.8%. Patients with single versus multiple malignant lesions had nodal positivity of 20.9% vs 31.1% (P = .04). MRI detected multiple lesions in 120 patients, 80 of which were not detected by MMG (18.8%). Comparing single lesions with additional malignant lesions detected by MRI only, nodal positivity increased from 20.9% to 51.6% (P = .0002). CONCLUSIONS: Patients with additional invasive lesions on MRI had significantly higher nodal positivity than single invasive lesions. Hence, addition of MRI in early-stage breast cancer may have prognostic value because of detection of potential node-positive patients.

Nodal positivity in breast cancer correlated with the number of lesions detected by magnetic resonance imaging versus mammogram.

BACKGROUND: Magnetic resonance imaging (MRI) in breast cancer can detect more than 15% additional lesions than mammography. We investigated lymph node metastases rates in patients with multifocal or multicentric disease detected by MRI compared with patients with a single lesion detected by mammography and magnetic resonance imaging. METHODS: A retrospective analysis of breast cancer patients undergoing MRI and mammography was performed. The objective was to compare lymph node metastases rates in patients with additional lesions detected by MRI versus a single lesion detected by mammography or MRI. RESULTS: Of 413 patients, 318 were included for the study. The overall nodal metastases rate was 24.8%. MRI detected multiple lesions in 83 (26.1%) patients; 67 (21.1%) patient MRI findings were not detected by mammography. The lymph node metastases rate was 37.3% when ≥ 2 lesions were detected compared with 20.2% when a single malignant lesion was detected (P = .01). The evaluation of the 67 patients with additional lesions detected by MRI revealed 32 patients with invasive lesions, 29 with benign lesions, and 6 with in situ disease. Comparing patients with single malignant lesions with patients with additional malignant lesions detected by MRI, the lymph node metastases rate increased from 20.2% to 50% (P = .002). CONCLUSIONS: Our study shows a significant increase in the lymph node metastases rate in patients with additional malignant lesions detected by MRI. This finding suggests that MRI-detected malignant lesions are biologically significant and may predict more aggressive disease.