Literature DB >> 27211259

Comparison of actual with default hematocrit value in dynamic contrast enhanced MR perfusion quantification in grading of human glioma.

Prativa Sahoo1, Pradeep K Gupta2, Ashish Awasthi3, Chandra M Pandey3, Rana Patir4, Sandeep Vaishya4, Indrajit Saha5, Rakesh K Gupta6.   

Abstract

PURPOSE: Dynamic contrast enhanced (DCE) MRI is used to grade and to monitor the progression of glioma while on treatment. Usually, a fixed hematocrit (Hct) value for adults is assumed to be ~45%; however, it is actually known for individual variations. Purpose of this study was to investigate the effect of measured Hct values in glioma grading using DCE-MRI.
MATERIALS AND METHODS: Fifty glioma patients were included in this study. Kinetic and hemodynamic parameters were estimated for each patient using assumed as well as measured Hct values. To look the changes in Hct value over time, Hct was measured multiple times from 10 of these glioma patients who were on treatment. Simulation was done to look for the effect of extreme variations of Hct values on perfusion metrics. The data was compared to look for significant differences in the perfusion metrics derived from assumed and measured Hct values.
RESULTS: The measured Hct value in patients was found to be (40.4±4.28)%. The sensitivity and specificity of DCE-MRI parameters in glioma grading were not significantly influenced by using measured vis-a-vis assumed Hct values. The serial Hct values from 10 patients who were on treatment showed a fluctuation of 15-20% over time. The simulated data showed linear influence of Hct values on kinetic parameters. The tumor grading was altered on altering the Hct values in borderline cases.
CONCLUSION: Hct values influence the hemodynamic and kinetic metrics linearly and may affect glioma grading. However, perfusion metrics values might change significantly with large change in Hct values, especially in patients who are on chemotherapy necessitating its use in the DCE model.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Arterial input function; DCE MRI; Glioma grading; Hematocrit

Mesh:

Substances:

Year:  2016        PMID: 27211259     DOI: 10.1016/j.mri.2016.05.004

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  5 in total

1.  Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters.

Authors:  Yousef Mazaheri; Nathanael Kim; Yulia Lakhman; Ramin Jafari; Alberto Vargas; Ricardo Otazo
Journal:  NMR Biomed       Date:  2022-03-14       Impact factor: 4.478

2.  Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation.

Authors:  Rupsa Bhattacharjee; Mamta Gupta; Tanu Singh; Shalini Sharma; Gaurav Khanna; Suhail P Parvaze; Rana Patir; Sandeep Vaishya; Sunita Ahlawat; Anup Singh; Rakesh Kumar Gupta
Journal:  Neuroradiology       Date:  2022-04-18       Impact factor: 2.995

3.  Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.

Authors:  Xin Zhang; Lin-Feng Yan; Yu-Chuan Hu; Gang Li; Yang Yang; Yu Han; Ying-Zhi Sun; Zhi-Cheng Liu; Qiang Tian; Zi-Yang Han; Le-De Liu; Bin-Quan Hu; Zi-Yu Qiu; Wen Wang; Guang-Bin Cui
Journal:  Oncotarget       Date:  2017-07-18

4.  Comparative evaluation of cerebral gliomas using rCBV measurements during sequential acquisition of T1-perfusion and T2*-perfusion MRI.

Authors:  Jitender Saini; Rakesh Kumar Gupta; Manoj Kumar; Anup Singh; Indrajit Saha; Vani Santosh; Manish Beniwal; Thennarasu Kandavel; Marc Van Cauteren
Journal:  PLoS One       Date:  2019-04-24       Impact factor: 3.240

5.  Operator dependency of arterial input function in dynamic contrast-enhanced MRI.

Authors:  Magne Kleppestø; Atle Bjørnerud; Inge Rasmus Groote; Minjae Kim; Jonas Vardal; Christopher Larsson
Journal:  MAGMA       Date:  2021-07-02       Impact factor: 2.310

  5 in total

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