Literature DB >> 16861530

Correlation between numeric gadolinium-enhanced dynamic MRI ratios and prognostic factors and histologic type of breast carcinoma.

Hiroyuki Narisada1, Takatoshi Aoki, Takakazu Sasaguri, Hiroshi Hashimoto, Tetsumi Konishi, Masaru Morita, Yukunori Korogi.   

Abstract

OBJECTIVE: The purpose of this study was to assess the usefulness of numeric ratios from dynamic contrast-enhanced MRI in predicting histologic type of breast carcinoma and three histologic prognostic factors for invasive ductal carcinoma.
MATERIALS AND METHODS: A total of 104 patients with breast carcinoma were included in the study. Dynamic contrast-enhanced MR images were obtained every 30 seconds during the first 4.5 minutes after administration of contrast material, and peripheral contrast enhancement ratio and central contrast enhancement ratio were calculated in the early phase (1 minute after contract injection) and in the delayed phase (4 minutes after injection). Four contrast enhancement ratios were used for quantitative analysis of the following numeric ratios: early peripheral/early central, delayed peripheral/delayed central, delayed peripheral/early peripheral, and delayed central/early central. The four ratios were compared with histologic type. For invasive ductal carcinoma, the ratios were then compared with modified Scarff-Bloom-Richardson histologic grade, microvessel density, and fibrotic focus.
RESULTS: Mucinous carcinoma had significantly higher mean early peripheral/early central and delayed central/early central ratios than other types of tumors (p< 0.0001). For invasive ductal carcinoma, the mean early peripheral/early central ratio was significantly lower for modified Scarff-Bloom-Richardson grade 1 tumors than for grades 2 and 3 tumors (p < 0.0001). Early peripheral/early central ratio had a significant correlation with the ratio of peripheral to central mean microvessel density (p < 0.0001). There was also a significant difference in early peripheral/early central ratio (p < 0.0001) between tumors with a fibrotic focus and those without a fibrotic focus.
CONCLUSION: Numeric ratios obtained on gadolinium-enhanced dynamic MRI of the breast may be useful in predicting histologic type of breast carcinoma and three histologic prognostic factors for invasive ductal carcinoma: modified Scarff-Bloom-Richardson grade, microvessel density, and fibrotic focus.

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Year:  2006        PMID: 16861530     DOI: 10.2214/AJR.05.0696

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

1.  Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging.

Authors:  Tianwen Xie; Qiufeng Zhao; Caixia Fu; Qianming Bai; Xiaoyan Zhou; Lihua Li; Robert Grimm; Li Liu; Yajia Gu; Weijun Peng
Journal:  Eur Radiol       Date:  2018-11-06       Impact factor: 5.315

2.  Evaluation of the R2* value in invasive ductal carcinoma with respect to hypoxic-related prognostic factors using iterative decomposition of water and fat with echo asymmetry and least-squares emission (IDEAL).

Authors:  Mari Miyata; Takatoshi Aoki; Shohei Shimajiri; Atsuji Matsuyama; Shunsuke Kinoshita; Masami Fujii; Takefumi Katsuki; Yuzuru Inoue; Yoshika Nagata; Yuko Tashima; Yukunori Korogi
Journal:  Eur Radiol       Date:  2017-04-11       Impact factor: 5.315

3.  Computer-aided interpretation of dynamic magnetic resonance imaging reflects histopathology of invasive breast cancer.

Authors:  Pascal A T Baltzer; Tibor Vag; Matthias Dietzel; Sebastian Beger; Christian Freiberg; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2010-03-04       Impact factor: 5.315

4.  Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles.

Authors:  Ahmed Bilal Ashraf; Dania Daye; Sara Gavenonis; Carolyn Mies; Michael Feldman; Mark Rosen; Despina Kontos
Journal:  Radiology       Date:  2014-04-04       Impact factor: 11.105

5.  Significance of breast lesion descriptors in the ACR BI-RADS MRI lexicon.

Authors:  Garima Agrawal; Min-Ying Su; Orhan Nalcioglu; Stephen A Feig; Jeon-Hor Chen
Journal:  Cancer       Date:  2009-04-01       Impact factor: 6.860

6.  Dynamic contrast-enhanced breast magnetic resonance imaging for the prediction of early and late recurrences in breast cancer.

Authors:  Eun Jung Choi; HyeMi Choi; Sin Ae Choi; Ji Hyun Youk
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

  6 in total

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