Incidentally detected lesions on contrast-enhanced MR imaging in candidates for breast-conserving therapy: Correlation between MR findings histological diagnosis

Hidetake Yabuuchi, Toshiro Kuroiwa, Chie Kusumoto, Tatsuro Fukuya, Shinji Ohno, Yoichi Hachitanda

Research output: Contribution to journalReview articlepeer-review

17 Citations (Scopus)

Abstract

Purpose: To investigate the correlation between MR findings and the histological diagnosis of incidentally detected lesions in candidates for breast-conserving therapy. Materials and Methods: MR images of 299 patients with breast cancer were reviewed. Incidentally detected lesions were noted in 59 of 299 (20%) patients, and a histological diagnosis was obtained in 48 of 59 (81%) patients. There were 25 benign and 23 malignant lesions. The number, size, location, morphologic character, and kinetic curve assessment of the MR findings were analyzed. Statistical analyses were performed to determine whether any differences could be observed between benign and malignant lesions. Results: Lesions of over 10 mm tended to be malignant (11/16; 69%), whereas those equal or less than 5 mm tended to be benign (12/17; 71%; P < 0.05). Lesions in the same quadrant as the main lesion tended to be malignant (20/27.5; 73%), whereas those in a different quadrant tended to be benign (17.5/20.5; 85%; P < 0.001). Lesions with early peak of enhancement tended to be malignant (20/25; 80%), whereas those with persistent enhancement tended to be benign (20/23; 87%; P < 0.001). Conclusion: Incidentally detected lesions that are found in a different quadrant from the main lesion, are smaller than 10 mm in diameter, and show persistent enhancement on MR imaging suggest benign lesions. Therefore, patients with such lesions should avoid unnecessary surgical procedures unless lesions are proved to be malignant by cytology or biopsy.

Original languageEnglish
Pages (from-to)486-492
Number of pages7
JournalJournal of Magnetic Resonance Imaging
Volume23
Issue number4
DOIs
Publication statusPublished - Apr 2006

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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