Literature DB >> 22392859

Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers.

Hye Ryoung Koo1, Nariya Cho, In Chan Song, Hyeonjin Kim, Jung Min Chang, Ann Yi, Bo La Yun, Woo Kyung Moon.   

Abstract

PURPOSE: To investigate whether a correlation exists between perfusion parameters obtained from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and prognostic factors or immunohistochemical subtypes of breast cancers.
MATERIALS AND METHODS: Quantitative parameters (K(trans) , k(ep) , and v(e) ) of 70 invasive ductal carcinomas were obtained using DCE-MRI as a postprocessing procedure. Correlations between parameters and prognostic factors, including tumor size, axillary nodal status, histologic grade, nuclear grade, expression of estrogen receptor (ER), progesterone receptor (PR), Ki-67, p53, bcl-2, and human epidermal growth factor receptor 2 (HER2) and subtypes categorized as luminal (ER or PR-positive), triple negative (ER or PR-negative, HER2-negative), and HER2 (ER and PR-negative, HER2 overexpression) were analyzed.
RESULTS: Mean K(trans) was higher in tumors with a high histologic grade than with a low histologic grade (P = 0.007), with a high nuclear grade than with a low nuclear grade (P = 0.002), and with ER negativity than ER positivity (P = 0.056). Mean k(ep) was higher in tumors with a high histologic grade than with a low histologic grade (P = 0.005), with a high nuclear grade than with a low nuclear grade (P = 0.001), and with ER negativity than with ER positivity (P = 0.043). Mean v(e) was lower in tumors with a high histologic grade than with a low histologic grade (P = 0.038) and with ER negativity than with ER positivity (P = 0.015). Triple-negative cancers showed a higher mean k(ep) than the luminal type (P = 0.015).
CONCLUSION: Breast cancers with higher K(trans) and k(ep) , or lower v(e) , had poor prognostic factors and were often of the triple-negative subtype.
Copyright © 2012 Wiley Periodicals, Inc.

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Mesh:

Year:  2012        PMID: 22392859     DOI: 10.1002/jmri.23635

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  49 in total

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4.  Breast cancer molecular subtype classifier that incorporates MRI features.

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9.  Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?

Authors:  Boram Yi; Doo Kyoung Kang; Dukyong Yoon; Yong Sik Jung; Ku Sang Kim; Hyunee Yim; Tae Hee Kim
Journal:  Eur Radiol       Date:  2014-02-21       Impact factor: 5.315

10.  Assessment of Aggressiveness of Breast Cancer Using Simultaneous 18F-FDG-PET and DCE-MRI: Preliminary Observation.

Authors:  Nathaniel E Margolis; Linda Moy; Eric E Sigmund; Melanie Freed; Jason McKellop; Amy N Melsaether; Sungheon Gene Kim
Journal:  Clin Nucl Med       Date:  2016-08       Impact factor: 7.794

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