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Estimation of T2* Relaxation time of breast cancer: Correlation with clinical, imaging and pathological features

Research output: Contribution to journal › Review article › peer-review

41 Citations (Scopus)

Abstract

Objective: The purpose of this study was to estimate the T2* relaxation time in breast cancer, and to evaluate the association between the T2* value with clinical-imaging-pathological features of breast cancer. Materials and Methods: Between January 2011 and July 2013, 107 consecutive women with 107 breast cancers underwent multi-echo T2*-weighted imaging on a 3T clinical magnetic resonance imaging system. The Student’s t test and one-way analysis of variance were used to compare the T2* values of cancer for different groups, based on the clinical-imagingpathological features. In addition, multiple linear regression analysis was performed to find independent predictive factors associated with the T2* values. Results: Of the 107 breast cancers, 92 were invasive and 15 were ductal carcinoma in situ (DCIS). The mean T2* value of invasive cancers was significantly longer than that of DCIS (p = 0.029). Signal intensity on T2-weighted imaging (T2WI) and histologic grade of invasive breast cancers showed significant correlation with T2* relaxation time in univariate and multivariate analysis. Breast cancer groups with higher signal intensity on T2WI showed longer T2* relaxation time (p = 0.005). Cancer groups with higher histologic grade showed longer T2* relaxation time (p = 0.017). Conclusion: The T2* value is significantly longer in invasive cancer than in DCIS. In invasive cancers, T2* relaxation time is significantly longer in higher histologic grades and high signal intensity on T2WI. Based on these preliminary data, quantitative T2* mapping has the potential to be useful in the characterization of breast cancer.

Original languageEnglish
Pages (from-to)238-248
Number of pages11
JournalKorean Journal of Radiology
Volume18
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017

Bibliographical note

Publisher Copyright:
© 2017 The Korean Society of Radiology.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast
  • Breast cancer
  • Magnetic resonance imaging
  • Relaxation time
  • Susceptibility
  • T2

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