Literature DB >> 28034567

Comparison between perfusion computed tomography and dynamic contrast-enhanced magnetic resonance imaging in assessing glioblastoma microvasculature.

Zhong Zheng Jia1, Wei Shi2, Jin Long Shi3, Dan Dan Shen4, Hong Mei Gu5, Xue Jun Zhou6.   

Abstract

PURPOSE: Perfusion computed tomography (PCT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) provide independent measurements of biomarkers related to tumor perfusion. The aim of this study was to compare the two techniques in assessing glioblastoma microvasculature.
MATERIALS AND METHODS: Twenty-five patients diagnosed with glioblastoma (14 males and 11 females; 51±11years old, ranging from 33 to 70 years) were includede in this prospective study. All patients underwent both PCT and DCE-MRI. Imaging was performed on a 256-slice CT scanner and a 3-T MRI system. PCT yielded permeability surface-area product (PS) using deconvolution physiological models; meanwhile, DCE-MRI determined volume transfer constant (Ktrans) using the Tofts-Kermode compartment model. All cases were submitted to surgical intervention, and CD105-microvascular density (CD105-MVD) was measured in each glioblastoma specimen. Then, Spearman's correlation coefficients and Bland-Altman plots were obtained for PS, Ktrans and CD105-MVD. P<0.05 was considered statistically significant.
RESULTS: Tumor PS and Ktrans values were correlated with CD105-MVD (r=0.644, P<0.001; r=0.683, P<0.001). In addition, PS was correlated with Ktrans in glioblastoma (r=0.931, P<0.001). Finally, Bland-Altman plots showed no significant differences between PS and Ktrans (P=0.063).
CONCLUSION: PCT and DCE-MRI measurements of glioblastoma perfusion biomarkers have similar results, suggesting that both techniques may have comparable utility. Therefore, PCT may serve as an alternative modality to DCE-MRI for the in vivo evaluation of glioblastoma microvasculature.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Comparison; Computed tomography; Dynamic contrast-enhanced; Glioblastoma; Magnetic resonance imaging; Perfusion

Mesh:

Substances:

Year:  2016        PMID: 28034567     DOI: 10.1016/j.ejrad.2016.12.016

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  8 in total

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2.  Assessment of brain tumors by magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging and computed tomography perfusion: a comparison study.

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Journal:  Oncotarget       Date:  2018-02-20

Review 4.  Perfusion MRI in treatment evaluation of glioblastomas: Clinical relevance of current and future techniques.

Authors:  Bart R J van Dijken; Peter Jan van Laar; Marion Smits; Jan Willem Dankbaar; Roelien H Enting; Anouk van der Hoorn
Journal:  J Magn Reson Imaging       Date:  2019-01       Impact factor: 4.813

5.  Does perfusion computed tomography correlate to pathology in colorectal liver metastases?

Authors:  M J van Amerongen; A M Vos; W van der Woude; I D Nagtegaal; J H W de Wilt; J J Fütterer; J J Hermans
Journal:  PLoS One       Date:  2021-01-26       Impact factor: 3.240

6.  Correlation of radiomic features on dynamic contrast-enhanced magnetic resonance with microvessel density in hepatocellular carcinoma based on different models.

Authors:  Hongwei Liang; Chunhong Hu; Jian Lu; Tao Zhang; Jifeng Jiang; Ding Ding; Sheng Du; Shaofeng Duan
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

7.  Value of magnetic resonance diffusion combined with perfusion imaging techniques for diagnosing potentially malignant breast lesions.

Authors:  Hui Zhang; Xin-Yi Zhang; Yong Wang
Journal:  World J Clin Cases       Date:  2022-06-26       Impact factor: 1.534

8.  Preliminary study on identification of estrogen receptor-positive breast cancer subtypes based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) texture analysis.

Authors:  Hui Wang; Yunting Hu; Hui Li; Yuanliang Xie; Xiang Wang; Weijia Wan
Journal:  Gland Surg       Date:  2020-06
  8 in total

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