Adding MRI to ultrasound and ultrasound-guided fine-needle aspiration reduces the false-negative rate of axillary lymph node metastasis diagnosis in breast cancer patients

S. J. Hyun, E. K. Kim, J. H. Yoon, H. J. Moon, M. J. Kim

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Aim To evaluate whether adding magnetic resonance imaging (MRI) to ultrasound (US) and US-guided fine-needle aspiration (US-FNA) can reduce the false-negative rate (FNR) in the diagnosis of axillary lymph node metastasis (ALNM) in breast cancer patients, and to assess false-negative diagnosis of N2 and N3 disease when adding MRI to US and US-FNA. Materials and methods From March 2012 to February 2013, 497 breast cancer patients were included in the study. ALNM was evaluated according to US and US-FNA prior to MRI. Second-look US was performed when MRI showed positive findings of ALNM. If second-look US also revealed a positive finding, US-FNA was performed. Diagnostic performance, including FNR, was calculated for US and US-FNA with and without MRI. The negative predictive value (NPV) of N2 and N3 disease was evaluated in negative cases based on US and US-FNA with MRI. Results A total of 159 of 497 (32.0%) patients were found to have ALNM. Among them, 92 patients were diagnosed with metastasis on US and US-FNA. When adding MRI to US and US-FNA, an additional six patients were diagnosed with metastasis. The FNR of diagnosis of ALNM was improved by the addition of MRI (42.1% versus 38.4%, p = 0.0143). The NPV for N2 and N3 disease was 98% (391/399) based on US and US-FNA with MRI. Conclusion Adding MRI to US and US-FNA could reduce the FNR of the diagnosis of ALNM. Furthermore, US and US-FNA with MRI may exclude 98% of N2 and N3 disease.

Original languageEnglish
Pages (from-to)716-722
Number of pages7
JournalClinical Radiology
Volume70
Issue number7
DOIs
Publication statusPublished - 2015 Jul 1

Bibliographical note

Publisher Copyright:
© 2015 The Royal College of Radiologists.

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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