Multimodal anatomic, functional, and metabolic brain imaging for tumor resection

Sabbah, P.; Fœhrenbach, H.; Dutertre, Guillaume; Nioche, Christophe; DeDreuille, Olivier; Bellegou, Nicolas; Mangin, Jean‐François; Lévêque, Christophe; Faillot, Thierry; Gaillard, Jean-François; Desgeorgès, M; Cordoliani, Yves-Sébastien

doi:10.1016/s0899-7071(01)00313-8

Cited by 34 publications

(29 citation statements)

References 12 publications

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“…Optimized shimming can reduce the magnetic field inhomogeneities to some extent. A very simple approach is to overlay the distorted EPI images directly on undistorted anatomy without any further effort [10][11][12]. In this study, the most commonly used technique was investigated: coregistration of the distorted EPI images with undistorted anatomical images (compare [20,28,29,35] for basic and [31][32][33][34]44] for clinical research).…”

Section: Discussionmentioning

confidence: 99%

“…Comparable to related studies [10,11,[24][25][26][31][32][33][34][35][36][37], two groups of ten participants each were recruited for this investigation. Healthy right-handed volunteers (three females and seven males; mean age: 23.9 years; standard deviation: 4.3 years) and right-handed patients (six females and four males; mean age: 41.0 years; standard deviation: 16.3 years) suffering from large brain lesions.…”

Section: Methodsmentioning

confidence: 99%

“…These include direct overlay [10][11][12], optimized shimming [13][14][15], special fMRI sequences [16,17] or recently developed experimental B0 field mapping techniques [18][19][20][21][22]. However, most reports try to improve the quality of the functional overlay by linear [20,[23][24][25][26][27] or non-linear [28][29][30] coregistration of the distorted EPI images with anatomical images.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of fMRI coregistration results between human experts and software solutions in patients and healthy subjects

et al. 2006

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Functional magnetic resonance imaging (fMRI) performed by echo-planar imaging (EPI) is often highly distorted, and it is therefore necessary to coregister the functional to undistorted anatomical images, especially for clinical applications. This pilot study provides an evaluation of human and automatic coregistration results in the human motor cortex of normal and pathological brains. Ten healthy right-handed subjects and ten right-handed patients performed simple right hand movements during fMRI. A reference point chosen at a characteristic anatomical location within the fMRI sensorimotor activations was transferred to the high resolution anatomical MRI images by three human fMRI experts and by three automatic coregistration programs. The 3D distance between the median localizations of experts and programs was calculated and compared between patients and healthy subjects. Results show that fMRI localization on anatomical images was better with the experts than software in 70% of the cases and that software performance was worse for patients than healthy subjects (unpaired t-test: P = 0.040). With 45.6 mm the maximum disagreement between experts and software was quite large. The inter-rater consistency was better for the fMRI experts compared to the coregistration programs (ANOVA: P = 0.003). We conclude that results of automatic coregistration should be evaluated carefully, especially in case of clinical application.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of fMRI coregistration results between human experts and software solutions in patients and healthy subjects

et al. 2006

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“…Functional imaging by PET seems to be especially important in cases with slowly evolving brain lesions, where plasticity of language networks might occur (116) and brain areas, normally not involved in language processing take over the function of compromised regions (117), either within the same hemisphere (intrahemispheric compensation) or within the contralateral non-dominant hemisphere (interhemispheric compensation). Sabbah et al (2002) integrated functional, metabolic and anatomical imaging data into one fusion image showing the foci of high proliferative activity, which have to be completely resected, and the peritumoral functional structures, which have to be spared in order to minimize postoperative sequellae (118). These authors enter the trimodal image into a surgical neuronavigation computer for preoperative planning in order to outline tumoral target and functional risk areas.…”

Section: Functional Imaging Of Glioma-induced Alterations Of Neuronalmentioning

confidence: 99%

Molecular and Functional Imaging Technology for the Development of Efficient Treatment Strategies for Gliomas

Jacobs

Winkeler

Dittmar

et al. 2002

Technol Cancer Res Treat

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Gliomas are the most common types of brain tumors, which invariably lead to death over months or years. Before new and potentially more effective treatment strategies, such as gene therapy, can be effectively introduced into clinical application the following goals must be reached: (1) the determination of localization, extent and metabolic activity of the glioma; (2) the assessment of functional changes within the surrounding brain tissue; (3) the identification of genetic changes on the molecular level leading to disease; and in addition (4) a detailed non-invasive analysis of both endogenous and exogenous gene expression in animal models and in the clinical setting. Non-invasive imaging of endogenous gene expression by means of positron emission tomography (PET) may reveal insight into the molecular basis of pathogenesis and metabolic activity of the glioma and the extent of treatment response. When exogenous genes are introduced to serve for a therapeutic function, PET imaging techniques may reveal the assessment of the location, magnitude and duration of therapeutic gene expression and its relation to the therapeutic effect. Here, we review the main principles of PET imaging and its key roles in neurooncology research. IntroductionIn recent years, genetic alterations could be defined for various diseases including brain tumors. To identify the fundamental errors of disease and to develop corrections at the molecular level are the overall goals of the broad and growing field of molecular medicine. The knowledge of the underlying genetic defect and the understanding of related pathophysiological alterations in e.g. tumor replication, migration, signal transduction and others are the first steps towards the development of new treatment strategies based on gene therapy. The design of effective gene therapy strategies relies on concerted research to define the alterations in tumor genetics and tumor biology, and to develop safe vectors and vector application systems to achieve efficient, targeted and regulated alterations of specific therapeutic gene expression. The main diagnostic procedures in patients with suspected glioma combine modern histological and genetic evaluations with improved imaging technology based on position emission tomography (PET) and magnetic resonance imaging (MRI). They guide multi-modal therapy to assure that as much tumor as possible is eliminated and as much neurological function as possible is preserved. PET imaging of tumor metabolism, neuronal function and transduced therapeutic gene expression shall facilitate the development of safe and efficient application protocols for biological treatment strategies, such as cell or gene therapy. GliomasClinically important glioma entities include astrocytomas, oligodendrogliomas or mixed gliomas, i.e. oligo-astrocytomas. Grading is performed according to the World Health Organization (WHO) taking into account the presence of nuclear changes, mitotic activity, the presence of endothelial proliferation, and necrosis (1, 2). Glioblastoma, corr...

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“…Lastly, some methods have been proposed that deal with multimodal image analysis, such as Biological Parametric Mapping (Casanova et al, 2007), a tool that generally integrates different modalities into the GLM approach (as an example implementation, fMRI and VBM modalities are integrated in a GLM in the manuscript, in a study about dyslexia); pattern recognition techniques, such as the ones proposed by Fan et al (2007) in a study of brain abnormality by combining fMRI and structural MR data; and algorithms to display damaged areas observed in coinciding functional, anatomical and metabolic images (Sabbah et al, 2002).…”

Section: A -Multimodal Image Analysismentioning

confidence: 99%

Optimizing fMRI analysis in Schizophrenia research: methodology improvements.

Noguera¹,

José²

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Multimodal anatomic, functional, and metabolic brain imaging for tumor resection

Cited by 34 publications

References 12 publications

Comparison of fMRI coregistration results between human experts and software solutions in patients and healthy subjects

Comparison of fMRI coregistration results between human experts and software solutions in patients and healthy subjects

Molecular and Functional Imaging Technology for the Development of Efficient Treatment Strategies for Gliomas

Optimizing fMRI analysis in Schizophrenia research: methodology improvements.

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