Literature DB >> 28848203

Role of Dynamic Contrast-Enhanced Perfusion Magnetic Resonance Imaging in Grading of Pediatric Brain Tumors on 3T.

Pradeep Kumar Gupta1, Jitender Saini, Prativa Sahoo, Rana Patir, Sunita Ahlawat, Manish Beniwal, Kandavel Thennarasu, Vani Santosh, Rakesh Kumar Gupta.   

Abstract

BACKGROUND/AIMS: Perfusion magnetic resonance imaging (MRI) is useful for preoperative assessment of brain tumors. Dynamic susceptibility contrast perfusion MRI is commonly used for evaluation of brain tumors. Dynamic contrast-enhanced (DCE) MRI is an alternative method that has mainly been used in adult brain tumors. In this preliminary study, we report our initial experience with the DCE perfusion MRI in pediatric brain tumors.
METHODS: Sixty-four newly diagnosed pediatric brain tumor patients underwent DCE perfusion MRI on a 3-T scanner. Hemodynamic and kinetic parametric maps were generated and the regions with the highest values were measured on each map. Statistical differences were sought to differentiate between low-grade tumors, high-grade tumors, and medulloblastomas. The perfusion metrics of common posterior fossa tumors were also compared.
RESULTS: Relative corrected cerebral blood volume (rCBV) and fractional plasma volume measures differed significantly between high- and low-grade tumors (p < 0.05). High-grade tumors could be differentiated from low-grade tumors, with an rCBV cutoff value of 2.41 and 88.6% sensitivity and 65% specificity. There was no significant difference in Ktrans, Kep, Ve, or λtr between these 2 groups of tumors. rCBV, relative quantification of the cerebral blood flow, and permeability indices were found to be significantly different in various posterior fossa tumors, i.e., pilocytic astrocytoma, ependymoma, and medulloblastoma (p < 0.05).
CONCLUSION: DCE-derived perfusion metrics are useful in differentiating high-grade tumors from low-grade ones and discriminating among various posterior fossa tumors in the pediatric age group.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Dynamic contrast-enhanced magnetic resonance imaging; Medulloblastoma; Pediatric brain tumor; Pediatric glioma grading

Mesh:

Substances:

Year:  2017        PMID: 28848203     DOI: 10.1159/000479283

Source DB:  PubMed          Journal:  Pediatr Neurosurg        ISSN: 1016-2291            Impact factor:   1.162


  7 in total

1.  Injection rate of contrast medium affects diagnostic ability of dynamic contrast-enhanced magnetic resonance imaging for endometrial carcinoma: a prospective cohort study.

Authors:  Donghui Xu; Aiping Jin; Yongqian Ge; Yanmei Zhang
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2.  Volumetric Measurement of Relative CBV Using T1-Perfusion-Weighted MRI with High Temporal Resolution Compared with Traditional T2*-Perfusion-Weighted MRI in Postoperative Patients with High-Grade Gliomas.

Authors:  M Seo; K-J Ahn; Y Choi; N-Y Shin; J Jang; B-S Kim
Journal:  AJNR Am J Neuroradiol       Date:  2022-05-26       Impact factor: 4.966

3.  Pediatric astrocytic tumor grading: comparison between arterial spin labeling and dynamic susceptibility contrast MRI perfusion.

Authors:  Giovanni Morana; Domenico Tortora; Serena Staglianò; Paolo Nozza; Samantha Mascelli; Mariasavina Severino; Gianluca Piatelli; Alessandro Consales; Maarten Lequin; Maria Luisa Garrè; Andrea Rossi
Journal:  Neuroradiology       Date:  2018-02-16       Impact factor: 2.804

Review 4.  Radiohistogenomics of pediatric low-grade neuroepithelial tumors.

Authors:  Asim K Bag; Jason Chiang; Zoltan Patay
Journal:  Neuroradiology       Date:  2021-03-29       Impact factor: 2.804

5.  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

6.  Heterogeneity Diffusion Imaging of gliomas: Initial experience and validation.

Authors:  Qing Wang; Gloria J Guzmán Pérez-Carrillo; Maria Rosana Ponisio; Pamela LaMontagne; Sonika Dahiya; Daniel S Marcus; Mikhail Milchenko; Joshua Shimony; Jingxia Liu; Gengsheng Chen; Amber Salter; Parinaz Massoumzadeh; Michelle M Miller-Thomas; Keith M Rich; Jonathan McConathy; Tammie L S Benzinger; Yong Wang
Journal:  PLoS One       Date:  2019-11-14       Impact factor: 3.240

Review 7.  Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.

Authors:  Lelio Guida; Vittorio Stumpo; Jacopo Bellomo; Christiaan Hendrik Bas van Niftrik; Martina Sebök; Moncef Berhouma; Andrea Bink; Michael Weller; Zsolt Kulcsar; Luca Regli; Jorn Fierstra
Journal:  Cancers (Basel)       Date:  2022-03-10       Impact factor: 6.639

  7 in total

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