Literature DB >> 23273960

Differentiation between high and low grade tumours in paediatric patients by using apparent diffusion coefficients.

Luciana Porto1, Alina Jurcoane, Dirk Schwabe, Matthias Kieslich, Elke Hattingen.   

Abstract

OBJECTIVE: This study was performed to confirm the hypothesis that pre-operative apparent diffusion coefficient (ADC) can be used to distinguish between "low grade" and "high grade" tumours in paediatric patients.
MATERIAL AND METHODS: ADC values were retrospectively evaluated in thirty-six paediatric brain tumours. Twenty-one children with low grade brain tumours (12 WHO I astrocytomas, 1 giant cell tumour, 1 pilomyxoid astrocytoma, 4 WHO II astrocytomas, 2 craniopharyngiomas and 1 ganglioglioma) and 15 children with high grade brain tumours (6 medulloblastomas, 3 WHO III ependymomas, 1 PNET, 1 malignant rhabdoid tumour, 1 malignant germ cell tumour, 1 WHO III astrocytoma, 1 WHO IV astrocytoma, 1 rhabdomyosarcoma metastasis) were included in this study. Minimum and mean ADC values were compared between low grade and high grade tumours and cut-off values were evaluated.
RESULTS: The cut-off values to differentiate low and high grade paediatric brain tumours were 0.7 × 10(-3) mm(2)/s and 1.0 × 10(-3) mm(2)/s for minimum ADC and average ADC values respectively. All but one high grade infratentorial ependymoma showed significantly lower ADC values than low grade brain tumours in children.
CONCLUSION: Combining the information obtained from conventional MR imaging with the ADC values may increase the accuracy of pre-operative differentiation between low grade and high grade paediatric tumours. Cut-off values can help to discern low from high grade tumours. However, it has to be considered that there is a substantial overlap between tumour types previously described in the literature.
Copyright © 2012 European Paediatric Neurology Society. Published by Elsevier Ltd. All rights reserved.

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Mesh:

Year:  2012        PMID: 23273960     DOI: 10.1016/j.ejpn.2012.12.002

Source DB:  PubMed          Journal:  Eur J Paediatr Neurol        ISSN: 1090-3798            Impact factor:   3.140


  17 in total

1.  Differentiation of Low- and High-Grade Pediatric Brain Tumors with High b-Value Diffusion-weighted MR Imaging and a Fractional Order Calculus Model.

Authors:  Yi Sui; He Wang; Guanzhong Liu; Frederick W Damen; Christian Wanamaker; Yuhua Li; Xiaohong Joe Zhou
Journal:  Radiology       Date:  2015-06-02       Impact factor: 11.105

2.  Advanced MRI assessment to predict benefit of anti-programmed cell death 1 protein immunotherapy response in patients with recurrent glioblastoma.

Authors:  Lei Qin; Xiang Li; Amanda Stroiney; Jinrong Qu; Jeffrey Helgager; David A Reardon; Geoffrey S Young
Journal:  Neuroradiology       Date:  2017-01-09       Impact factor: 2.804

3.  Discrimination of epileptogenic lesions and perilesional white matter using diffusion tensor magnetic resonance imaging.

Authors:  Alexander Rau; Elias Kellner; Niels A Foit; Niklas Lützen; Dieter H Heiland; Andreas Schulze-Bonhage; Marco Reisert; Valerij G Kiselev; Marco Prinz; Horst Urbach; Irina Mader
Journal:  Neuroradiol J       Date:  2018-11-21

4.  Extended diffusion weighted magnetic resonance imaging with two-compartment and anomalous diffusion models for differentiation of low-grade and high-grade brain tumors in pediatric patients.

Authors:  Delilah Burrowes; Jason R Fangusaro; Paige C Nelson; Bin Zhang; Nitin R Wadhwani; Michael J Rozenfeld; Jie Deng
Journal:  Neuroradiology       Date:  2017-07-08       Impact factor: 2.804

5.  Systematic comparison of MRI findings in pediatric ependymoblastoma with ependymoma and CNS primitive neuroectodermal tumor not otherwise specified.

Authors:  Johannes Nowak; Carolin Seidel; Torsten Pietsch; Balint Alkonyi; Taylor Laura Fuss; Carsten Friedrich; Katja von Hoff; Stefan Rutkowski; Monika Warmuth-Metz
Journal:  Neuro Oncol       Date:  2015-04-26       Impact factor: 12.300

6.  Diffusion-weighted imaging and the apparent diffusion coefficient on 3T MR imaging in the differentiation of craniopharyngiomas and germ cell tumors.

Authors:  Yasuyuki Kinoshita; Fumiyuki Yamasaki; Atsushi Tominaga; Megu Ohtaki; Satoshi Usui; Kazunori Arita; Kazuhiko Sugiyama; Kaoru Kurisu
Journal:  Neurosurg Rev       Date:  2015-08-18       Impact factor: 3.042

7.  The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types.

Authors:  Mériam Koob; Nadine Girard; Badih Ghattas; Slim Fellah; Sylviane Confort-Gouny; Dominique Figarella-Branger; Didier Scavarda
Journal:  J Neurooncol       Date:  2016-01-05       Impact factor: 4.130

8.  Advanced MR imaging in hemispheric low-grade gliomas before surgery; the indications and limits in the pediatric age.

Authors:  Simona Gaudino; Rosellina Russo; Tommaso Verdolotti; Massimo Caulo; Cesare Colosimo
Journal:  Childs Nerv Syst       Date:  2016-09-20       Impact factor: 1.475

9.  Neuroimaging Appearance of Cerebral Malignant Epithelioid Glioneuronal Tumors in Children.

Authors:  G Orman; S Mohammed; H D B Tran; F Y Lin; A Meoded; N Desai; T A G M Huisman; S F Kralik
Journal:  AJNR Am J Neuroradiol       Date:  2020-07-16       Impact factor: 3.825

10.  Differentiation of Low- and High-Grade Gliomas Using High b-Value Diffusion Imaging with a Non-Gaussian Diffusion Model.

Authors:  Y Sui; Y Xiong; J Jiang; M M Karaman; K L Xie; W Zhu; X J Zhou
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-02       Impact factor: 3.825

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