Clinical Applications of Contrast-Enhanced Perfusion MRI Techniques in Gliomas: Recent Advances and Current Challenges

Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics. Despite considerable advances in diagnostic and therapeutic techniques for improving tumor management and patient care in recent years, the prognosis of malignant gliomas remains dismal. Perfusion-weighted magnetic re...

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Published inContrast media and molecular imaging Vol. 2017; no. 2017; pp. 1 - 27
Main Authors Zhang, Weiguo, Yang, Yizeng, Wang, Sumei, Tong, Haipeng, Liu, Heng, Zhang, Junfeng, Liu, Gang
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2017
Hindawi
Hindawi Limited
Subjects
Biomarkers
Blood
Brain
Brain cancer
Brain tumors
Diagnostic systems
Evaluation
Gangrene
Glioma
Hemodynamics
Imaging techniques
Magnetic permeability
Magnetic resonance imaging
Medical prognosis
Neuroimaging
NMR
Nuclear magnetic resonance
Perfusion
Permeability
Precision medicine
Prognosis
Review
Therapeutic applications
Tumors
Online AccessGet full text

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Abstract Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics. Despite considerable advances in diagnostic and therapeutic techniques for improving tumor management and patient care in recent years, the prognosis of malignant gliomas remains dismal. Perfusion-weighted magnetic resonance imaging techniques that could noninvasively provide superior information on vascular functionality have attracted much attention for evaluating brain tumors. However, nonconsensus imaging protocols and postprocessing analysis among different institutions impede their integration into standard-of-care imaging in clinic. And there have been very few studies providing a comprehensive evidence-based and systematic summary. This review first outlines the status of glioma theranostics and tumor-associated vascular pathology and then presents an overview of the principles of dynamic contrast-enhanced MRI (DCE-MRI) and dynamic susceptibility contrast-MRI (DSC-MRI), with emphasis on their recent clinical applications in gliomas including tumor grading, identification of molecular characteristics, differentiation of glioma from other brain tumors, treatment response assessment, and predicting prognosis. Current challenges and future perspectives are also highlighted.
AbstractList Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics. Despite considerable advances in diagnostic and therapeutic techniques for improving tumor management and patient care in recent years, the prognosis of malignant gliomas remains dismal. Perfusion-weighted magnetic resonance imaging techniques that could noninvasively provide superior information on vascular functionality have attracted much attention for evaluating brain tumors. However, nonconsensus imaging protocols and postprocessing analysis among different institutions impede their integration into standard-of-care imaging in clinic. And there have been very few studies providing a comprehensive evidence-based and systematic summary. This review first outlines the status of glioma theranostics and tumor-associated vascular pathology and then presents an overview of the principles of dynamic contrast-enhanced MRI (DCE-MRI) and dynamic susceptibility contrast-MRI (DSC-MRI), with emphasis on their recent clinical applications in gliomas including tumor grading, identification of molecular characteristics, differentiation of glioma from other brain tumors, treatment response assessment, and predicting prognosis. Current challenges and future perspectives are also highlighted.
Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics. Despite considerable advances in diagnostic and therapeutic techniques for improving tumor management and patient care in recent years, the prognosis of malignant gliomas remains dismal. Perfusion-weighted magnetic resonance imaging techniques that could noninvasively provide superior information on vascular functionality have attracted much attention for evaluating brain tumors. However, nonconsensus imaging protocols and postprocessing analysis among different institutions impede their integration into standard-of-care imaging in clinic. And there have been very few studies providing a comprehensive evidence-based and systematic summary. This review first outlines the status of glioma theranostics and tumor-associated vascular pathology and then presents an overview of the principles of dynamic contrast-enhanced MRI (DCE-MRI) and dynamic susceptibility contrast-MRI (DSC-MRI), with emphasis on their recent clinical applications in gliomas including tumor grading, identification of molecular characteristics, differentiation of glioma from other brain tumors, treatment response assessment, and predicting prognosis. Current challenges and future perspectives are also highlighted.Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics. Despite considerable advances in diagnostic and therapeutic techniques for improving tumor management and patient care in recent years, the prognosis of malignant gliomas remains dismal. Perfusion-weighted magnetic resonance imaging techniques that could noninvasively provide superior information on vascular functionality have attracted much attention for evaluating brain tumors. However, nonconsensus imaging protocols and postprocessing analysis among different institutions impede their integration into standard-of-care imaging in clinic. And there have been very few studies providing a comprehensive evidence-based and systematic summary. This review first outlines the status of glioma theranostics and tumor-associated vascular pathology and then presents an overview of the principles of dynamic contrast-enhanced MRI (DCE-MRI) and dynamic susceptibility contrast-MRI (DSC-MRI), with emphasis on their recent clinical applications in gliomas including tumor grading, identification of molecular characteristics, differentiation of glioma from other brain tumors, treatment response assessment, and predicting prognosis. Current challenges and future perspectives are also highlighted.
Author Liu, Gang
Zhang, Junfeng
Yang, Yizeng
Tong, Haipeng
Wang, Sumei
Zhang, Weiguo
Liu, Heng
AuthorAffiliation 1 Department of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing 400042, China
4 Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
3 Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
5 Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing 400042, China
2 State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen 361102, China
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ContentType Journal Article
Copyright Copyright © 2017 Junfeng Zhang et al.
Copyright © 2017 Junfeng Zhang et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright © 2017 Junfeng Zhang et al. 2017
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– notice: Copyright © 2017 Junfeng Zhang et al. 2017
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Snippet Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics. Despite considerable advances in diagnostic and therapeutic techniques for...
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SubjectTerms Biomarkers
Blood
Brain
Brain cancer
Brain tumors
Diagnostic systems
Evaluation
Gangrene
Glioma
Hemodynamics
Imaging techniques
Magnetic permeability
Magnetic resonance imaging
Medical prognosis
Neuroimaging
NMR
Nuclear magnetic resonance
Perfusion
Permeability
Precision medicine
Prognosis
Review
Therapeutic applications
Tumors
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Title Clinical Applications of Contrast-Enhanced Perfusion MRI Techniques in Gliomas: Recent Advances and Current Challenges
URI https://search.emarefa.net/detail/BIM-1141828
https://dx.doi.org/10.1155/2017/7064120
https://www.ncbi.nlm.nih.gov/pubmed/29097933
https://www.proquest.com/docview/2010873392
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https://pubmed.ncbi.nlm.nih.gov/PMC5612612
Volume 2017
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