Literature DB >> 26852247

Perfusion Parameters in Dynamic Contrast-enhanced MRI and Apparent Diffusion Coefficient Value in Diffusion-weighted MRI:: Association with Prognostic Factors in Breast Cancer.

Hyun Sil Lee1, Sung Hun Kim2, Bong Joo Kang1, Ji Eun Baek1, Byung Joo Song3.   

Abstract

RATIONALE AND
OBJECTIVES: To evaluate the association of prognostic factors and subtypes of breast cancer with perfusion parameters in dynamic contrast-enhanced magnetic resonance imaging and apparent diffusion coefficient (ADC) values in diffusion-weighted magnetic resonance imaging.
MATERIALS AND METHODS: Quantitative perfusion parameters (constant of transfer from plasma to interstitium, constant of transfer from the interstitium to the plasma, extravascular/extracellular volume per unit of volume of tissue [ve], and initial area under the concentration curve [iAUC]) and ADC values in the entire tumor volume of 52 invasive ductal carcinomas were obtained using histogram analysis. Four measures (25th percentile, mean, median, 75th percentile) were calculated for each parameter and the ADC value. Associations of perfusion parameters and ADC values with prognostic factors and tumor subtypes were analyzed.
RESULTS: Among perfusion parameters, iAUCmean and iAUCmedian were greater in tumors larger than 2 cm (8.23 ± 2.33, 8.64 ± 2.67 × 10(4)) than in those smaller than 2 cm (6.99 ± 1.92, 7.04 ± 2.15 × 10(4); P = 0.046, 0.023). Ve median was higher in tumors with progesterone receptor (PR) positivity (0.54 ± 0.18) than in those with PR negativity (0.44 ± 0.1, P = 0.041). There were higher ADCmean and ADCmedian in tumors with human epidermal growth factor receptor 2 (HER2) positivity (1.306 and 1.278 × 10(-3)mm(2)/s) than in those with HER2 negativity (1.078 and 1.053 × 10(-3)mm(2)/s; P = 0.012 and 0.020). Higher ADCmean and ADCmedian were observed in HER2-enriched type (1.404 and 1.378 × 10(-3)mm(2)/s) than in luminal type (1.096 and 1.073 × 10(-3)mm(2)/s; P = 0.030 and 0.045).
CONCLUSIONS: Among perfusion parameters, iAUC was associated with tumor size and ve median was associated with PR positivity. Mean and median ADC values showed positive correlation with HER2-positive and HER2-enriched tumors.
Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADC value; Breast cancer; magnetic resonance imaging; perfusion; prognostic factor

Mesh:

Substances:

Year:  2016        PMID: 26852247     DOI: 10.1016/j.acra.2015.12.011

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  14 in total

1.  Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging.

Authors:  Shiteng Suo; Dandan Zhang; Fang Cheng; Mengqiu Cao; Jia Hua; Jinsong Lu; Jianrong Xu
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

2.  Quantitative parameters of MRI and 18F-FDG PET/CT in the prediction of breast cancer prognosis and molecular type: an original study.

Authors:  Pavel Borisovich Gelezhe; Ivan Andreevich Blokhin; Damir Ildarovich Marapov; Sergey Pavlovich Morozov
Journal:  Am J Nucl Med Mol Imaging       Date:  2020-12-15

3.  Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  Breast Care (Basel)       Date:  2021-02-23       Impact factor: 2.860

4.  Relationship between functional imaging and immunohistochemical markers and prediction of breast cancer subtype: a PET/MRI study.

Authors:  Mariarosaria Incoronato; Anna Maria Grimaldi; Carlo Cavaliere; Marianna Inglese; Peppino Mirabelli; Serena Monti; Umberto Ferbo; Emanuele Nicolai; Andrea Soricelli; Onofrio Antonio Catalano; Marco Aiello; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-25       Impact factor: 9.236

5.  PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype.

Authors:  Onofrio Antonio Catalano; Gary Lloyd Horn; Alberto Signore; Carlo Iannace; Maria Lepore; Mark Vangel; Angelo Luongo; Marco Catalano; Constance Lehman; Marco Salvatore; Andrea Soricelli; Ciprian Catana; Umar Mahmood; Bruce Robert Rosen
Journal:  Br J Cancer       Date:  2017-02-16       Impact factor: 7.640

6.  Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-10-15       Impact factor: 4.430

7.  Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.

Authors:  Joao V Horvat; Blanca Bernard-Davila; Thomas H Helbich; Michelle Zhang; Elizabeth A Morris; Sunitha B Thakur; R Elena Ochoa-Albiztegui; Doris Leithner; Maria A Marino; Pascal A Baltzer; Paola Clauser; Panagiotis Kapetas; Zsuzsanna Bago-Horvath; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2019-02-27       Impact factor: 4.813

8.  Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers.

Authors:  Joao V Horvat; Aditi Iyer; Elizabeth A Morris; Aditya Apte; Blanca Bernard-Davila; Danny F Martinez; Doris Leithner; Olivia M Sutton; R Elena Ochoa-Albiztegui; Dilip Giri; Katja Pinker; Sunitha B Thakur
Journal:  Contrast Media Mol Imaging       Date:  2019-11-22       Impact factor: 3.161

9.  Whole-Lesion Histogram Analysis of the Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker for Assessing the Level of Tumor-Infiltrating Lymphocytes: Value in Molecular Subtypes of Breast Cancer.

Authors:  Wen-Jie Tang; Zhe Jin; Yan-Ling Zhang; Yun-Shi Liang; Zi-Xuan Cheng; Lei-Xin Chen; Ying-Ying Liang; Xin-Hua Wei; Qing-Cong Kong; Yuan Guo; Xin-Qing Jiang
Journal:  Front Oncol       Date:  2021-01-08       Impact factor: 6.244

Review 10.  Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role.

Authors:  Julia Camps-Herrero
Journal:  BJR Open       Date:  2019-03-08
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