Research progress of MRI in glioma grading and molecular genetic biomarkers
<p>The pathological and imaging diagnosis of glioma has significantly evolved in recent years. Glioma grading, together with a number of molecular genetic biomarkers, has been recognized as an important prognostic and predictive factor, which can also guide the treatment strategy of glioma....
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Tianjin Huanhu Hospital
2017-01-01
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Online Access: | http://www.cjcnn.org/index.php/cjcnn/article/view/1539 |
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doaj-adaa860da3b64332a33c800ece5b71952020-11-25T01:29:38ZengTianjin Huanhu HospitalChinese Journal of Contemporary Neurology and Neurosurgery1672-67312017-01-0117169731508Research progress of MRI in glioma grading and molecular genetic biomarkersShan-shan ZHANG0Lin YU1Department of Medical Image, Tianjin Medical University General Hospital, Tianjin 300052, ChinaDepartment of Biochemistry and Molecular Biology, School of Basic Medical Science, Tianjin Medical University, Tianjin 300070, China<p>The pathological and imaging diagnosis of glioma has significantly evolved in recent years. Glioma grading, together with a number of molecular genetic biomarkers, has been recognized as an important prognostic and predictive factor, which can also guide the treatment strategy of glioma. This article highlights the research progress of MRI for noninvasively grading and molecular characterization of gliomas, including diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), dynamic contrast-enhanced MRI (DCE-MRI), perfusion-weighted imaging (PWI) and magnetic resonance spectroscopy (MRS). The multiparametric imaging data analysis could improve imaging diagnosis, introduce the potential to noninvasively detect underlying molecular features of glioma, finally improve the accuracy of prognosis prediction and guide the individual-based treatment for glioma patients.</p><p> </p><p><strong>DOI: </strong>10.3969/j.issn.1672-6731.2017.01.013</p>http://www.cjcnn.org/index.php/cjcnn/article/view/1539GliomaBiological markersMagnetic resonance imagingReview |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shan-shan ZHANG Lin YU |
spellingShingle |
Shan-shan ZHANG Lin YU Research progress of MRI in glioma grading and molecular genetic biomarkers Chinese Journal of Contemporary Neurology and Neurosurgery Glioma Biological markers Magnetic resonance imaging Review |
author_facet |
Shan-shan ZHANG Lin YU |
author_sort |
Shan-shan ZHANG |
title |
Research progress of MRI in glioma grading and molecular genetic biomarkers |
title_short |
Research progress of MRI in glioma grading and molecular genetic biomarkers |
title_full |
Research progress of MRI in glioma grading and molecular genetic biomarkers |
title_fullStr |
Research progress of MRI in glioma grading and molecular genetic biomarkers |
title_full_unstemmed |
Research progress of MRI in glioma grading and molecular genetic biomarkers |
title_sort |
research progress of mri in glioma grading and molecular genetic biomarkers |
publisher |
Tianjin Huanhu Hospital |
series |
Chinese Journal of Contemporary Neurology and Neurosurgery |
issn |
1672-6731 |
publishDate |
2017-01-01 |
description |
<p>The pathological and imaging diagnosis of glioma has significantly evolved in recent years. Glioma grading, together with a number of molecular genetic biomarkers, has been recognized as an important prognostic and predictive factor, which can also guide the treatment strategy of glioma. This article highlights the research progress of MRI for noninvasively grading and molecular characterization of gliomas, including diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), dynamic contrast-enhanced MRI (DCE-MRI), perfusion-weighted imaging (PWI) and magnetic resonance spectroscopy (MRS). The multiparametric imaging data analysis could improve imaging diagnosis, introduce the potential to noninvasively detect underlying molecular features of glioma, finally improve the accuracy of prognosis prediction and guide the individual-based treatment for glioma patients.</p><p> </p><p><strong>DOI: </strong>10.3969/j.issn.1672-6731.2017.01.013</p> |
topic |
Glioma Biological markers Magnetic resonance imaging Review |
url |
http://www.cjcnn.org/index.php/cjcnn/article/view/1539 |
work_keys_str_mv |
AT shanshanzhang researchprogressofmriingliomagradingandmoleculargeneticbiomarkers AT linyu researchprogressofmriingliomagradingandmoleculargeneticbiomarkers |
_version_ |
1725095884091293696 |