Correlation between conductivity and prognostic factors in invasive breast cancer using magnetic resonance electric properties tomography (MREPT)

Soo Yeon Kim, Jaewook Shin, Dong Hyun Kim, Min Jung Kim, Eun Kyung Kim, Hee Jung Moon, Jung Hyun Yoon

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Purpose: To investigate the correlation between conductivity and prognostic factors of invasive breast cancer using magnetic resonance electric properties tomography (MREPT). Methods: This retrospective study was approved by the Institutional Review Board, and verbal informed consent was obtained prior to breast MRI. This study included 65 women with surgically confirmed invasive breast cancers measuring 1 cm or larger on T2-weighted fast spin echo (FSE). Phase-based MREPT and the coil combination technique were used to reconstruct conductivity. Simple and multiple linear regression analysis were used to find an independent factor associated with conductivity. Results: In total tumours, tumours with HER-2 overexpression showed lower conductivity than those without, and HER-2 overexpression was independently associated with conductivity. In 37 tumours 2 cm or larger, tumours with high mitosis or PR positivity showed higher conductivity than those without, and high mitosis and PR positivity were independently associated with conductivity. In 28 tumours 1–2 cm in size, there were no differences in conductivity according to the prognostic factors. Conclusion: Conductivity values measured using MREPT are associated with the HER-2 overexpression status, and may provide information about mitosis and the PR status of invasive breast cancers 2 cm or larger. Key Points: • In all tumours, HER-2 overexpression was independently associated with conductivity. • In tumours ≥ 2 cm, high mitosis and PR positivity were associated with conductivity. • Conductivity is associated with the HER-2 overexpression status of invasive breast cancers.

Original languageEnglish
Pages (from-to)2317-2326
Number of pages10
JournalEuropean Radiology
Volume26
Issue number7
DOIs
Publication statusPublished - 2016 Jul 1

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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