J Breast Dis.  2020 Jun;8(1):19-24. 10.14449/jbd.2020.8.1.19.

Analysis of Tumor Size between Imaging of Preoperative Ultrasound, MRI and Pathologic Measurements in Early Breast Carcinoma

Affiliations
  • 1Department of Surgery, Presbyterian Medical Center, Jeonju, Korea
  • 2Department of Department of Radiology, Presbyterian Medical Center, Jeonju, Korea

Abstract

Purpose
Preoperative tumor size is associated with clinical stage, treatment plan and even survival rate of patient. We investigated the accuracy of tumor size estimation between magnetic resonance imaging (MRI) and ultrasonography (US) findings, comparing these with pathologic tumor size in the diagnosis of early breast carcinoma.
Methods
Between 2011 and 2016, 136 patients with early breast cancer were analyzed and their tumor size on US and MRI findings were compared with their pathologic tumor size retrospectively. The background parenchymal enhancement of MRI was categorized as minimal, mild, moderate, and extreme. The patients who underwent neoadjuvant chemotherapy, had positive resection margins, underwent excisional biopsy for cancer diagnosis, and had non-mass lesions on MRI scans, were excluded.
Results
In all, 83.1% of the cases showed concordance between MRI findings and pathologic tumor size within 0.5cm. MRI overestimated the findings by 10.3% and underestimated them by 6.6%; 78.7% showed concordance between US findings and pathologic tumor size within 0.5cm. US overestimated the findings by 5.9% and underestimated them by 15.4%. The tumor size on MRI (r=0.87) showed a stronger correlation to the pathologic tumor size than that on US (r=0.64) in early breast cancer patients. US had a tendency to underestimate the tumor size. The degree of breast parenchyma did not affect the accuracy of the measurement of preoperative tumor size.
Conclusion
MRI is relatively more accurate than US for assessing preoperative tumor size in breast cancer patients. US tends to underestimate tumor size.

Keyword

Breast neoplasms; Comparative study; Tumor burden
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