Clinical Applications of Functional MR Imaging

Belyaev, A.S.; Peck, Kyung K.; Brennan, Nicole M. Petrovich; Holodny, Andrei I.

doi:10.1016/j.mric.2012.12.001

Cited by 18 publications

(8 citation statements)

References 36 publications

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“…Functional MR imaging has been shown to be useful in preoperative planning and risk assessment and as a guide to intraoperative cortical stimulation (4). Increasingly, functional MR imaging is being considered the standard of care in the preoperative work up of patients with brain tumors (5,6). Thus, there is much interest in identifying the factors that influence the accuracy of BOLD functional MR imaging in mapping functions such as motor and language.…”

Section: Implications For Patient Carementioning

confidence: 99%

Brain Tumors: The Influence of Tumor Type and Routine MR Imaging Characteristics at BOLD Functional MR Imaging in the Primary Motor Gyrus

Abreu¹,

Peck²,

Petrovich-Brennan³

et al. 2016

Radiology

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Purpose:To evaluate the effects of histologic features and anatomic magnetic resonance (MR) imaging characteristics of brain tumors on the functional MR imaging signal in the primary motor cortex (PMC), as false-negative blood oxygen leveldependent (BOLD) functional MR imaging activation can limit the accurate localization of eloquent cortices. Materials andMethods:Institutional review board approval was obtained, and informed consent was waived for this HIPAA-compliant retrospective study. Conclusion:BOLD functional MR imaging activation in the ipsilateral PMC is influenced by tumor type and is significantly reduced in GBMs. FLAIR abnormality correlates moderately with the activation ratios in metastases and meningiomas.q RSNA, 2016

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Section: Implications For Patient Carementioning

confidence: 99%

Brain Tumors: The Influence of Tumor Type and Routine MR Imaging Characteristics at BOLD Functional MR Imaging in the Primary Motor Gyrus

Abreu¹,

Peck²,

Petrovich-Brennan³

et al. 2016

Radiology

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“…However, the equipment used to obtain this data is expensive and thus not widely available, and there are some important considerations, including that intraoperative MRI prolongs surgery and requires reconfiguration of the operating room. Certainly, where available, preoperative functional imaging and particularly fMRI can assist neurosurgical operation planning [69].…”

Section: Stereotactic and Image-guided Surgerymentioning

confidence: 99%

The role of imaging in the development of neurosurgery

Kirkman

2015

Journal of Clinical Neuroscience

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“…In functional surgical neuro-oncology, the precise localization of brain language areas contributes to both maximum resection and minimum functional injury, as well as prolonging survival time and improving quality of life 1 , 2 . Functional imaging-based pre-surgical mapping provides essential information for intra-operative localization of eloquent regions 3 , 4 . Although task-based functional magnetic resonance imaging (fMRI) has been widely applied for preoperative language mapping 5 – 7 , there still remain concerns of instability and variability 8 .…”

Section: Introductionmentioning

confidence: 99%

An automated method for identifying an independent component analysis-based language-related resting-state network in brain tumor subjects for surgical planning

Zhang

Hameed

et al. 2017

Sci Rep

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As a noninvasive and “task-free” technique, resting-state functional magnetic resonance imaging (rs-fMRI) has been gradually applied to pre-surgical functional mapping. Independent component analysis (ICA)-based mapping has shown advantage, as no a priori information is required. We developed an automated method for identifying language network in brain tumor subjects using ICA on rs-fMRI. In addition to standard processing strategies, we applied a discriminability-index-based component identification algorithm to identify language networks in three different groups. The results from the training group were validated in an independent group of healthy human subjects. For the testing group, ICA and seed-based correlation were separately computed and the detected language networks were assessed by intra-operative stimulation mapping to verify reliability of application in the clinical setting. Individualized language network mapping could be automatically achieved for all subjects from the two healthy groups except one (19/20, success rate = 95.0%). In the testing group (brain tumor patients), the sensitivity of the language mapping result was 60.9%, which increased to 87.0% (superior to that of conventional seed-based correlation [47.8%]) after extending to a radius of 1 cm. We established an automatic and practical component identification method for rs-fMRI-based pre-surgical mapping and successfully applied it to brain tumor patients.

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Clinical Applications of Functional MR Imaging

Cited by 18 publications

References 36 publications

Brain Tumors: The Influence of Tumor Type and Routine MR Imaging Characteristics at BOLD Functional MR Imaging in the Primary Motor Gyrus

Brain Tumors: The Influence of Tumor Type and Routine MR Imaging Characteristics at BOLD Functional MR Imaging in the Primary Motor Gyrus

The role of imaging in the development of neurosurgery

An automated method for identifying an independent component analysis-based language-related resting-state network in brain tumor subjects for surgical planning

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