Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas

Purpose: It is critical and difficult to accurately discriminate between high- and low-grade gliomas preoperatively. This study aimed to ascertain the role of several scalar measures in distinguishing high-grade from low-grade gliomas, especially the axial diffusivity (AD), radial diffusivity (RD),...

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Main Authors: Liang Jiang, Chao-Yong Xiao, Quan Xu, Jun Sun, Huiyou Chen, Yu-Chen Chen, Xindao Yin
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-08-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fnagi.2017.00271/full
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spelling doaj-636bc726fe8d4b488d415389ad13175f2020-11-25T00:55:13ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652017-08-01910.3389/fnagi.2017.00271286719Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade GliomasLiang Jiang0Chao-Yong Xiao1Quan Xu2Jun Sun3Huiyou Chen4Yu-Chen Chen5Xindao Yin6Department of Radiology, Nanjing First Hospital, Nanjing Medical UniversityNanjing, ChinaDepartment of Radiology, Brain Hospital Affiliated to Nanjing Medical UniversityNanjing, ChinaDepartment of Radiology, Nanjing First Hospital, Nanjing Medical UniversityNanjing, ChinaDepartment of Radiology, Nanjing First Hospital, Nanjing Medical UniversityNanjing, ChinaDepartment of Radiology, Nanjing First Hospital, Nanjing Medical UniversityNanjing, ChinaDepartment of Radiology, Nanjing First Hospital, Nanjing Medical UniversityNanjing, ChinaDepartment of Radiology, Nanjing First Hospital, Nanjing Medical UniversityNanjing, ChinaPurpose: It is critical and difficult to accurately discriminate between high- and low-grade gliomas preoperatively. This study aimed to ascertain the role of several scalar measures in distinguishing high-grade from low-grade gliomas, especially the axial diffusivity (AD), radial diffusivity (RD), planar tensor (Cp), spherical tensor (Cs), and linear tensor (Cl) derived from diffusion tensor imaging (DTI).Materials and Methods: Fifty-three patients with pathologically confirmed brain gliomas (21 low-grade and 32 high-grade) were included. Contrast-enhanced T1-weighted images and DTI were performed in all patients. The AD, RD, Cp, Cs, and Cl values in the tumor zone, peritumoral edema zone, white matter (WM) adjacent to edema and contralateral normal-appearing white matter (NAWM) were calculated. The DTI parameters and tumor grades were statistically analyzed, and receiver operating characteristic (ROC) curve analysis was also performed.Results: The DTI metrics in the affected hemisphere showed significant differences from those in the NAWM, except for the AD values in the tumor zone and the RD values in WM adjacent to edema in the low-grade groups, as well as the Cp values in WM adjacent to edema in the high-grade groups. AD in the tumor zone as well as Cs and Cl in WM adjacent to edema revealed significant differences between the low- and high-grade gliomas. The areas under the curve (Az) of all three metrics were greater than 0.5 in distinguishing low-grade from high-grade gliomas by ROC curve analysis, and the best DTI metric was Cs in WM adjacent to edema (Az: 0.692).Conclusion: AD in the tumor zone as well as Cs and Cl in WM adjacent to edema will provide additional information to better classify gliomas and can be used as non-invasive reliable biomarkers in glioma grading.http://journal.frontiersin.org/article/10.3389/fnagi.2017.00271/fulldiffusion tensor imagingmagnetic resonance imaginglow-grade gliomashigh-grade gliomasgliomas grading
collection DOAJ
language English
format Article
sources DOAJ
author Liang Jiang
Chao-Yong Xiao
Quan Xu
Jun Sun
Huiyou Chen
Yu-Chen Chen
Xindao Yin
spellingShingle Liang Jiang
Chao-Yong Xiao
Quan Xu
Jun Sun
Huiyou Chen
Yu-Chen Chen
Xindao Yin
Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas
Frontiers in Aging Neuroscience
diffusion tensor imaging
magnetic resonance imaging
low-grade gliomas
high-grade gliomas
gliomas grading
author_facet Liang Jiang
Chao-Yong Xiao
Quan Xu
Jun Sun
Huiyou Chen
Yu-Chen Chen
Xindao Yin
author_sort Liang Jiang
title Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas
title_short Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas
title_full Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas
title_fullStr Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas
title_full_unstemmed Analysis of DTI-Derived Tensor Metrics in Differential Diagnosis between Low-grade and High-grade Gliomas
title_sort analysis of dti-derived tensor metrics in differential diagnosis between low-grade and high-grade gliomas
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2017-08-01
description Purpose: It is critical and difficult to accurately discriminate between high- and low-grade gliomas preoperatively. This study aimed to ascertain the role of several scalar measures in distinguishing high-grade from low-grade gliomas, especially the axial diffusivity (AD), radial diffusivity (RD), planar tensor (Cp), spherical tensor (Cs), and linear tensor (Cl) derived from diffusion tensor imaging (DTI).Materials and Methods: Fifty-three patients with pathologically confirmed brain gliomas (21 low-grade and 32 high-grade) were included. Contrast-enhanced T1-weighted images and DTI were performed in all patients. The AD, RD, Cp, Cs, and Cl values in the tumor zone, peritumoral edema zone, white matter (WM) adjacent to edema and contralateral normal-appearing white matter (NAWM) were calculated. The DTI parameters and tumor grades were statistically analyzed, and receiver operating characteristic (ROC) curve analysis was also performed.Results: The DTI metrics in the affected hemisphere showed significant differences from those in the NAWM, except for the AD values in the tumor zone and the RD values in WM adjacent to edema in the low-grade groups, as well as the Cp values in WM adjacent to edema in the high-grade groups. AD in the tumor zone as well as Cs and Cl in WM adjacent to edema revealed significant differences between the low- and high-grade gliomas. The areas under the curve (Az) of all three metrics were greater than 0.5 in distinguishing low-grade from high-grade gliomas by ROC curve analysis, and the best DTI metric was Cs in WM adjacent to edema (Az: 0.692).Conclusion: AD in the tumor zone as well as Cs and Cl in WM adjacent to edema will provide additional information to better classify gliomas and can be used as non-invasive reliable biomarkers in glioma grading.
topic diffusion tensor imaging
magnetic resonance imaging
low-grade gliomas
high-grade gliomas
gliomas grading
url http://journal.frontiersin.org/article/10.3389/fnagi.2017.00271/full
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