Guidelines on management of low‐grade gliomas: report of an EFNS–EANO* Task Force

Soffietti, Riccardo; Baumert, Brigitta G.; Bello, Lorenzo; Deimling, Andreas von; Duffau, Hugues; Frénay, M.; Grisold, Wolfgang; Grant, Robin; Graus, Francesc; Hoang-Xuân, Khê; Klein, Martin; Melin, Beatrice; Rees, Jeremy; Siegal, Tali; Smits, Anja; Stupp, Roger; Wick, Wolfgang

doi:10.1111/j.1468-1331.2010.03151.x

Cited by 454 publications

(301 citation statements)

References 84 publications

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“…2,29,49,50,53 Indeed, despite the lack of Class I evidence demonstrating that DLGG surgery improved survival, Jakola et al 29 recently investigated survival in population-based parallel cohorts of patients with DLGGs from 2 Norwegian university hospitals with different surgical treatment strategies. They demonstrated that treatment at a center that favored early resection was associated with better overall survival (median survival not reached) than treat- Object.…”

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confidence: 99%

“…2 Therefore, according to the current European Guidelines, "surgical resection represents the first therapeutic option in DLGGs." 50 It is a major concern in surgery for DLGG that these mostly young patients, who usually present with no or only mild neurological deficits, retain their functional independence. Good functional outcome implies not only the absence of significant neurological worsening but ultimately a return to previous lifestyle and work after surgery.…”

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confidence: 99%

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Awake mapping for low-grade gliomas involving the left sagittal stratum: anatomofunctional and surgical considerations

Chan-Seng¹,

Moritz‐Gasser

Duffau

2014

JNS

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P atients with diffuse low-grade glioma ([DLGG]; that is, Grade II glioma according the WHO classification) tend to live many years after diagnosis, with surgery helping to further extend survival time. 2,29,49,50,53 Indeed, despite the lack of Class I evidence demonstrating that DLGG surgery improved survival, Jakola et al. 29 recently investigated survival in population-based parallel cohorts of patients with DLGGs from 2 Norwegian university hospitals with different surgical treatment strategies. They demonstrated that treatment at a center that favored early resection was associated with better overall survival (median survival not reached) than treat- Object. Preserving function while optimizing the extent of resection is the main goal in surgery for diffuse lowgrade glioma (DLGG). This is particularly relevant for DLGG involving the sagittal stratum (SS), where damage can have severe consequences. Indeed, this structure is a major crossroad in which several important fascicles run. Thus, its complex functional anatomy is still poorly understood. Subcortical electrical stimulation during awake surgery provides a unique opportunity to investigate white matter pathways. This study reports the findings on anatomofunctional correlations evoked by stimulation during resection for gliomas involving the left SS. Surgical outcomes are also detailed.Methods. The authors performed a review of patients who underwent awake surgery for histopathologically confirmed WHO Grade II glioma involving the left SS in the neurosurgery department between August 2008 and August 2012. Information regarding clinicoradiological features, surgical procedures, and outcomes was collected and analyzed. Intraoperative electrostimulation was used to map the eloquent structures within the SS.Results. Eight consecutive patients were included in this study. There were 6 men and 2 women, whose mean age was 41.7 years (range 32-61 years). Diagnosis was made because of seizures in 7 cases and slight language disorders in 1 case. After cortical mapping, subcortical stimulation detected functional fibers running in the SS in all patients: semantic paraphasia was generated by stimulating the inferior frontooccipital fascicle in 8 cases; alexia was elicited by stimulating the inferior longitudinal fascicle in 3 cases; visual disorders were induced by stimulating the optic radiations in 5 cases. Moreover, in front of the SS, phonemic paraphasia was evoked by stimulating the temporal part of the arcuate fascicle in 5 patients. The resection was stopped according to these functional limits in the 8 patients. After a transient postsurgical worsening, all patients recovered to normal results on examination, except for the persistence of a right superior quadrantanopia in 5 cases, with no consequences for quality of life. The 8 patients returned to a normal social and professional life. Total or subtotal resection was achieved in all cases but one.Conclusions. The authors suggest that the use of intrasurgical electrical mapping of the white matter pathway...

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Awake mapping for low-grade gliomas involving the left sagittal stratum: anatomofunctional and surgical considerations

Chan-Seng¹,

Moritz‐Gasser

Duffau

2014

JNS

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“…[2][3][4] In contrast, low-grade gliomas, which include astrocytoma, oligodendroglioma, and oligoastrocytoma, are indolent malignant tumors, typically surgically treated, 3,5 with a median survival of Ͼ5 years.…”

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confidence: 99%

Diagnostic Accuracy of PET for Recurrent Glioma Diagnosis: A Meta-Analysis

Nishizaki

Dahabreh

Terasawa

2012

AJNR Am J Neuroradiol

160

105

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BACKGROUND AND PURPOSE:Studies have assessed PET by using various tracers to diagnose disease recurrence in patients with previously treated glioma; however, the accuracy of these methods, particularly compared with alternative imaging modalities, remains unclear. We conducted a meta-analysis to quantitatively synthesize the diagnostic accuracy of PET and compare it with alternative imaging modalities.

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“…Limited work has been carried out in the area of characterization and analysis of 3D (volumetric) textures using MRI, MRS, and both MRI and MRS [5,9,10,24,25]. Dou et al [27] proposed the glial tumor segmentation method using data fusion of MRI and MRS based on fuzzy-based method.…”

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confidence: 99%

Multidimensional Texture Characterization: On Analysis for Brain Tumor Tissues Using MRS and MRI

Nachimuthu¹,

Devi²

2014

J Digit Imaging

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This paper investigates the efficacy of automated pattern recognition methods on magnetic resonance data with the objective of assisting radiologists in the clinical diagnosis of brain tissue tumors. In this paper, the sciences of magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) are combined to improve the accuracy of the classifier, based on the multidimensional co-occurrence matrices to assess the detection of pathological tissues (tumor and edema), normal tissues (white matter -WM and gray matter -GM), and fluid (cerebrospinal fluid -CSF). The results show the ability of the classifier with iterative training to automatically and simultaneously recover tissue-specific spectral and structural patterns and achieve segmentation of tumor and edema and grading of high and low glioma tumor. Here, extreme learning machine -improved particle swarm optimization (ELM-IPSO) neural network classifier is trained with the feature descriptions in brain magnetic resonance (MR) spectra. This has the characteristics of varying the normal spectral pattern associated with tumor patterns along with imaging features. Validation was performed considering 35 clinical studies. The volumetric features extracted from the vectors of this matrix articulate some important elementary structures, which along with spectroscopic metabolite ratios discriminate the tumor grades and tissue classes. The quantitative 3D analysis reveals significant improvement in terms of global accuracy rate for automatic classification in brain tissues and discriminating pathological tumor tissue from structural healthy brain tissue.

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Guidelines on management of low‐grade gliomas: report of an EFNS–EANO* Task Force

Cited by 454 publications

References 84 publications

Awake mapping for low-grade gliomas involving the left sagittal stratum: anatomofunctional and surgical considerations

Awake mapping for low-grade gliomas involving the left sagittal stratum: anatomofunctional and surgical considerations

Diagnostic Accuracy of PET for Recurrent Glioma Diagnosis: A Meta-Analysis

Multidimensional Texture Characterization: On Analysis for Brain Tumor Tissues Using MRS and MRI

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