Literature DB >> 19215664

Prognostic significance of contrast-enhancing low-grade gliomas in adults and a review of the literature.

Kaisorn L Chaichana1, Matthew J McGirt, Ashwini Niranjan, Alessandro Olivi, Peter C Burger, Alfredo Quinones-Hinojosa.   

Abstract

OBJECTIVES: Survival and tumor recurrence for patients with low-grade gliomas is heterogeneous, with reported survival and recurrence times varying by several months to years. The prognostic implications of a contrast-enhancing low-grade glioma remain less well understood.
METHODS: We retrospectively reviewed all adult patients who underwent a craniotomy for a hemispheric low-grade glioma (WHO grade II) from 1996 to 2006 at a single institution. Multivariate proportional hazards regression analysis was used to identify independent associations with survival, recurrence and malignant degeneration. Furthermore, a review of the literature for all works on low-grade gliomas and contrast enhancement was conducted.
RESULTS: One hundred eighty-nine patients (87 fibrillary astrocytomas, 89 oligodendrogliomas and 13 mixed gliomas) were available for analysis, with 64 (34%) and 125 (66%) contrast-enhancing and non-enhancing tumors, respectively. There were no significant differences in clinical and treatment-related variables between patients with and without contrast enhancement. After multivariate analysis, contrast enhancement was independently associated with decreased survival (p=0.006) and increased recurrence (p=0.04) and trended toward significance with malignant degeneration (p=0.15). Five-year overall survival, progression-free survival and malignancy-free survival rates for patients with enhancement versus patients without enhancement were 70 versus 85% (p=0.002), 32 versus 49% (p=0.008) and 74 versus 90% (p=0.002), respectively. The review of the literature identified 14 works that fit our criteria. The majority of these published works had design-related limitations including small population size as well as the inclusion of non-WHO grade II gliomas, pediatric patients and patient undergoing biopsy. DISCUSSION: This study may provide insights into risk stratifying patients with low-grade gliomas and most specifically those that contrast enhance.

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Year:  2009        PMID: 19215664     DOI: 10.1179/174313209X395454

Source DB:  PubMed          Journal:  Neurol Res        ISSN: 0161-6412            Impact factor:   2.448


  13 in total

1.  Comparison of 18F-FET PET and perfusion-weighted MRI for glioma grading: a hybrid PET/MR study.

Authors:  Antoine Verger; Christian P Filss; Philipp Lohmann; Gabriele Stoffels; Michael Sabel; Hans J Wittsack; Elena Rota Kops; Norbert Galldiks; Gereon R Fink; Nadim J Shah; Karl-Josef Langen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-22       Impact factor: 9.236

2.  Diffusion characteristics of pediatric pineal tumors.

Authors:  Asim F Choudhri; Matthew T Whitehead; Adeel Siddiqui; Paul Klimo; Frederick A Boop
Journal:  Neuroradiol J       Date:  2015-05-11

3.  Radial expansion rates and tumor growth kinetics predict malignant transformation in contrast-enhancing low-grade diffuse astrocytoma.

Authors:  Leith Hathout; Whitney B Pope; Albert Lai; Phioanh L Nghiemphu; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  CNS Oncol       Date:  2015-06-22

4.  Deficiency of very large G-protein-coupled receptor-1 is a risk factor of tumor-related epilepsy: a whole transcriptome sequencing analysis.

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Review 5.  Management of low-grade glioma.

Authors:  Nader Pouratian; David Schiff
Journal:  Curr Neurol Neurosci Rep       Date:  2010-05       Impact factor: 5.081

6.  Impact of adjuvant chemotherapy for gliomatosis cerebri.

Authors:  Doo-Sik Kong; Sung Tae Kim; Jung-Il Lee; Yeon-Lim Suh; Do Hoon Lim; Won Seog Kim; Ki-Hoon Kwon; Kwan Park; Jong Hyun Kim; Do-Hyun Nam
Journal:  BMC Cancer       Date:  2010-08-13       Impact factor: 4.430

7.  Utility of multiparametric 3-T MRI for glioma characterization.

Authors:  Bhaswati Roy; Rakesh K Gupta; Andrew A Maudsley; Rishi Awasthi; Sulaiman Sheriff; Meng Gu; Nuzhat Husain; Sudipta Mohakud; Sanjay Behari; Chandra M Pandey; Ram K S Rathore; Daniel M Spielman; Jeffry R Alger
Journal:  Neuroradiology       Date:  2013-02-02       Impact factor: 2.804

8.  Preoperative prognostic value of dynamic contrast-enhanced MRI-derived contrast transfer coefficient and plasma volume in patients with cerebral gliomas.

Authors:  T B Nguyen; G O Cron; J F Mercier; C Foottit; C H Torres; S Chakraborty; J Woulfe; G H Jansen; J M Caudrelier; J Sinclair; M J Hogan; R E Thornhill; I G Cameron
Journal:  AJNR Am J Neuroradiol       Date:  2014-06-19       Impact factor: 3.825

9.  State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia.

Authors:  Russell C Rockne; Sergio Branciamore; Jing Qi; Ya-Huei Kuo; Guido Marcucci; David E Frankhouser; Denis O'Meally; Wei-Kai Hua; Guerry Cook; Emily Carnahan; Lianjun Zhang; Ayelet Marom; Herman Wu; Davide Maestrini; Xiwei Wu; Yate-Ching Yuan; Zheng Liu; Leo D Wang; Stephen Forman; Nadia Carlesso
Journal:  Cancer Res       Date:  2020-05-15       Impact factor: 12.701

10.  Predictive value of multimodality MRI using conventional, perfusion, and spectroscopy MR in anaplastic transformation of low-grade oligodendrogliomas.

Authors:  Chadi Hlaihel; Laurent Guilloton; Jacques Guyotat; Nathalie Streichenberger; Jerome Honnorat; François Cotton
Journal:  J Neurooncol       Date:  2009-08-29       Impact factor: 4.130

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