Literature DB >> 29330968

Correlation of dynamic contrast-enhanced MRI derived volume transfer constant with histological angiogenic markers in high-grade gliomas.

Ningning Di1,2, Chenjun Yao3, Wenna Cheng4, Yan Ren2, Jianxun Qu5, Bin Wang6, Zhenwei Yao2.   

Abstract

INTRODUCTION: To ascertain if the volume transfer constant (Ktrans ) derived from T1 dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) correlates with the immunohistological markers of angiogenesis in high-grade gliomas.
METHODS: Fifty-one image-guided biopsy specimens in 34 patients with newly presenting high-grade gliomas (grade III = 16; grade IV = 18) underwent preoperative imaging (conventional imaging and T1 DCE-MRI). We correlated vascular endothelial growth factor (VEGF) expression and the microvessel density (MVD) of MRI-guided biopsy specimens with the corresponding DCE-derived Ktrans . Histological sections were stained with VEGF and CD34, and examined under light microscopy. These histological and molecular markers of angiogenesis were correlated with the Ktrans of the region of interest corresponding to the biopsy specimen.
RESULTS: The Ktrans showed a significant positive correlation with VEGF expression (ρ = 0.582, P = 0.001) but not with MVD stained with CD34 antibody (ρ = 0.328, P = 0.072).
CONCLUSION: The Ktrans derived from DCE-MRI can reflect the VEGF expression of high-grade gliomas but not the MVD.
© 2018 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  zzm321990MRIzzm321990; high-grade glioma; microvascular density; vascular endothelial growth factor; volume transfer constant

Year:  2018        PMID: 29330968     DOI: 10.1111/1754-9485.12701

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  5 in total

1.  Associations between Histogram Analysis Parameters Derived from DCE-MRI and Histopathological Features including Expression of EGFR, p16, VEGF, Hif1-alpha, and p53 in HNSCC.

Authors:  Hans Jonas Meyer; Leonard Leifels; Gordian Hamerla; Anne Kathrin Höhn; Alexey Surov
Journal:  Contrast Media Mol Imaging       Date:  2019-01-02       Impact factor: 3.161

2.  Non-Invasive Estimation of Glioma IDH1 Mutation and VEGF Expression by Histogram Analysis of Dynamic Contrast-Enhanced MRI.

Authors:  Yue Hu; Yue Chen; Jie Wang; Jin Juan Kang; Dan Dan Shen; Zhong Zheng Jia
Journal:  Front Oncol       Date:  2020-12-08       Impact factor: 6.244

3.  Reproducibility of dynamic contrast enhanced MRI derived transfer coefficient Ktrans in lung cancer.

Authors:  Jean-Philip Daniel Weber; Judith Eva Spiro; Matthias Scheffler; Jürgen Wolf; Lucia Nogova; Marc Tittgemeyer; David Maintz; Hendrik Laue; Thorsten Persigehl
Journal:  PLoS One       Date:  2022-03-08       Impact factor: 3.240

4.  DCE-MRI in Glioma, Infiltration Zone and Healthy Brain to Assess Angiogenesis: A Biopsy Study.

Authors:  Vera C Keil; Gerrit H Gielen; Bogdan Pintea; Peter Baumgarten; Angeliki Datsi; Kanishka Hittatiya; Matthias Simon; Elke Hattingen
Journal:  Clin Neuroradiol       Date:  2021-04-26       Impact factor: 3.649

5.  Association Between DCE-MRI Perfusion Histogram Parameters and EGFR and VEGF Expressions in Different Lauren Classifications of Advanced Gastric Cancer.

Authors:  Zhiheng Li; Zhenhua Zhao; Chuchu Wang; Dandan Wang; Haijia Mao; Fang Liu; Ye Yang; Feng Tao; Zengxin Lu
Journal:  Pathol Oncol Res       Date:  2022-01-06       Impact factor: 3.201

  5 in total

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