Literature DB >> 24056318

Differences between generalized q-sampling imaging and diffusion tensor imaging in the preoperative visualization of the nerve fiber tracts within peritumoral edema in brain.

Hongliang Zhang1, Yong Wang, Tao Lu, Bo Qiu, Yanqing Tang, Shaowu Ou, Xinxin Tie, Chuanqi Sun, Ke Xu, Yibao Wang.   

Abstract

BACKGROUND: Diffusion tensor imaging (DTI) tractography enables the in vivo visualization of white matter tracts inside normal brain tissue, which provides the neurosurgeon important information to plan tumor resections. However, DTI is associated with restrictions in the resolution of crossing fibers in the vicinity of the tumor or in edema. We find that generalized q-sampling imaging (GQI) can overcome these difficulties and is advantageous over DTI for the tractography of the fiber bundle in peritumoral edema.
OBJECTIVE: To demonstrate the differences between GQI and DTI in the preoperative mapping of fiber tractography in peritumoral edema of cerebral tumors, and discuss the clinical application of GQI in neurosurgical planning.
METHODS: Five patients with brain tumors underwent 3-T magnetic resonance imaging scans, and the data were reconstructed by DTI and GQI. We adjusted the parameters and compared the differences between DTI and GQI in visualizing the fiber tracts in the peritumoral edema of cerebral tumors.
RESULTS: GQI and DTI showed substantial differences in displaying the nerve fibers in the edema surrounding the tumor. The GQI tractography method could fully display existing intact fibers in the edema, whereas the fiber tracts in edema displayed by DTI tractography were incomplete, missing, or ruptured.
CONCLUSION: GQI can visualize the tracts in the peritumoral edema of cerebral tumors better than DTI. Although GQI has many limitations, its future in the preoperative guidance of brain tumor lesions is promising.

Entities:  

Mesh:

Year:  2013        PMID: 24056318     DOI: 10.1227/NEU.0000000000000146

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  34 in total

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2.  Evaluation of structural connectivity changes in betel-quid chewers using generalized q-sampling MRI.

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3.  The uncinate fasciculus as observed using diffusion spectrum imaging in the human brain.

Authors:  Bing Leng; Siyuan Han; Yijun Bao; Hongliang Zhang; Yong Wang; Yupeng Wu; Yibao Wang
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4.  Developmental Changes in the Integration of Affective and Cognitive Corticostriatal Pathways are Associated with Reward-Driven Behavior.

Authors:  Bart Larsen; Timothy D Verstynen; Fang-Cheng Yeh; Beatriz Luna
Journal:  Cereb Cortex       Date:  2018-08-01       Impact factor: 5.357

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Authors:  Pinar Celtikci; David T Fernandes-Cabral; Fang-Cheng Yeh; Sandip S Panesar; Juan C Fernandez-Miranda
Journal:  Neuroradiology       Date:  2018-01-25       Impact factor: 2.804

Review 6.  High-definition fiber tractography for the evaluation of perilesional white matter tracts in high-grade glioma surgery.

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7.  Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning.

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Journal:  Neurosurgery       Date:  2016-10       Impact factor: 4.654

8.  Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography.

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Journal:  Int J Comput Assist Radiol Surg       Date:  2016-01-13       Impact factor: 2.924

9.  Prenatal Exposure to Endocrine-Disrupting Chemicals and Subsequent Brain Structure Changes Revealed by Voxel-Based Morphometry and Generalized Q-Sampling MRI.

Authors:  Chao-Yu Shen; Jun-Cheng Weng; Jeng-Dau Tsai; Pen-Hua Su; Ming-Chih Chou; Shu-Li Wang
Journal:  Int J Environ Res Public Health       Date:  2021-04-30       Impact factor: 3.390

10.  Dopaminergic Nigrostriatal Connectivity in Early Parkinson Disease: In Vivo Neuroimaging Study of 11C-DTBZ PET Combined with Correlational Tractography.

Authors:  Carlos A Sanchez-Catasus; Nicolaas I Bohnen; Fang-Cheng Yeh; Nicholas D'Cruz; Prabesh Kanel; Martijn L T M Müller
Journal:  J Nucl Med       Date:  2020-08-28       Impact factor: 10.057

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