Literature DB >> 24699088

Comparison of perfusion, diffusion, and MR spectroscopy between low-grade enhancing pilocytic astrocytomas and high-grade astrocytomas.

M de Fatima Vasco Aragao1, M Law2, D Batista de Almeida3, G Fatterpekar4, B Delman3, A S Bader3, M Pelaez3, M Fowkes5, R Vieira de Mello6, M Moraes Valenca7.   

Abstract

BACKGROUND AND
PURPOSE: The differentiation of pilocytic astrocytomas and high-grade astrocytomas is sometimes difficult. There are limited comparisons in the literature of the advanced MR imaging findings of pilocytic astrocytomas versus high-grade astrocytomas. The purpose of this study was to assess the MR imaging, PWI, DWI, and MR spectroscopy characteristics of pilocytic astrocytomas compared with high-grade astrocytomas.
MATERIALS AND METHODS: Sixteen patients with pilocytic astrocytomas and 22 patients with high-grade astrocytomas (8-66 years of age; mean, 36 ± 17 years) were evaluated by using a 1.5T MR imaging unit. MR imaging, PWI, DWI, and MR spectroscopy were used to determine the differences between pilocytic astrocytomas and high-grade astrocytomas. The sensitivity, specificity, and the area under the receiver operating characteristic curve of all analyzed parameters at respective cutoff values were determined.
RESULTS: The relative cerebral blood volume values were significantly lower in pilocytic astrocytomas compared with the high-grade astrocytomas (1.4 ± 0.9 versus 3.3 ± 1.4; P = .0008). The ADC values were significantly higher in pilocytic astrocytomas compared with high-grade astrocytomas (1.5 × 10(-3) ± 0.4 versus 1.2 × 10(-3) ± 0.3; P = .01). The lipid-lactate in tumor/creatine in tumor ratios were significantly lower in pilocytic astrocytomas compared with high-grade astrocytomas (8.3 ± 11.2 versus 43.3 ± 59.2; P = .03). The threshold values ≥1.33 for relative cerebral blood volume provide sensitivity, specificity, positive predictive values, and negative predictive values of 100%, 67%, 87%, and 100%, respectively, for differentiating high-grade astrocytomas from pilocytic astrocytomas. The optimal threshold values were ≤1.60 for ADC, ≥7.06 for lipid-lactate in tumor/creatine in tumor, and ≥2.11 for lipid-lactate in tumor/lipid-lactate in normal contralateral tissue.
CONCLUSIONS: Lower relative cerebral blood volume and higher ADC values favor a diagnosis of pilocytic astrocytoma, while higher lipid-lactate in tumor/creatine in tumor ratios plus necrosis favor a diagnosis of high-grade astrocytomas.
© 2014 by American Journal of Neuroradiology.

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Year:  2014        PMID: 24699088      PMCID: PMC7964458          DOI: 10.3174/ajnr.A3905

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  44 in total

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2.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

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3.  Intracellular diffusion of water.

Authors:  J E Tanner
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Authors:  F A Howe; S J Barton; S A Cudlip; M Stubbs; D E Saunders; M Murphy; P Wilkins; K S Opstad; V L Doyle; M A McLean; B A Bell; J R Griffiths
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7.  Magnetic resonance imaging of pilocytic astrocytomas: usefulness of the minimum apparent diffusion coefficient (ADC) value for differentiation from high-grade gliomas.

Authors:  R Murakami; T Hirai; M Kitajima; H Fukuoka; R Toya; H Nakamura; J Kuratsu; Y Yamashita
Journal:  Acta Radiol       Date:  2008-05       Impact factor: 1.990

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9.  High-resolution 1H-magnetic resonance spectroscopy of pediatric posterior fossa tumors in vitro.

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10.  Perfusion-sensitive MRI of pilocytic astrocytomas: initial results.

Authors:  Sylvie D Grand; Stéphane Kremer; Irène M Tropres; Dominique M Hoffmann; Stephan J Chabardes; Virginie Lefournier; François R Berger; Caroline Pasteris; Alexandre Krainik; Basile M Pasquier; Michel Peoch; Jean François Le Bas
Journal:  Neuroradiology       Date:  2007-05-26       Impact factor: 2.804

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  19 in total

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2.  Accuracy of apparent diffusion coefficient values and magnetic resonance imaging in differentiating suprasellar germinomas from chiasmatic/hypothalamic gliomas.

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3.  Intra-tumoral susceptibility signal: a post-processing technique for objective grading of astrocytoma with susceptibility-weighted imaging.

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4.  Differentiation of hemangioblastomas from pilocytic astrocytomas using 3-T magnetic resonance perfusion-weighted imaging and MR spectroscopy.

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Journal:  Childs Nerv Syst       Date:  2015-11-23       Impact factor: 1.475

6.  Usefulness of perfusion- and diffusion-weighted imaging to differentiate between pilocytic astrocytomas and high-grade gliomas: a multicenter study in Japan.

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Journal:  Neuroradiology       Date:  2018-02-15       Impact factor: 2.804

7.  Contrast Leakage Patterns from Dynamic Susceptibility Contrast Perfusion MRI in the Grading of Primary Pediatric Brain Tumors.

Authors:  C Y Ho; J S Cardinal; A P Kamer; C Lin; S F Kralik
Journal:  AJNR Am J Neuroradiol       Date:  2015-11-12       Impact factor: 3.825

Review 8.  Radiohistogenomics of pediatric low-grade neuroepithelial tumors.

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9.  Application of a Simplified Method for Estimating Perfusion Derived from Diffusion-Weighted MR Imaging in Glioma Grading.

Authors:  Mengqiu Cao; Shiteng Suo; Xu Han; Ke Jin; Yawen Sun; Yao Wang; Weina Ding; Jianxun Qu; Xiaohua Zhang; Yan Zhou
Journal:  Front Aging Neurosci       Date:  2018-01-08       Impact factor: 5.750

10.  Diagnostic accuracy of diffusion weighted imaging for differentiation of supratentorial pilocytic astrocytoma and pleomorphic xanthoastrocytoma.

Authors:  Dejun She; Jianyi Liu; Z Zeng; Z Xing; Dairong Cao
Journal:  Neuroradiology       Date:  2018-05-24       Impact factor: 2.804

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