Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging
Purpose: This study aimed to assess the relationship between mean kurtosis (MK) and mean diffusivity (MD) values from whole-brain diffusion kurtosis imaging (DKI) parametric maps in preoperative magnetic resonance (MR) images from 2016 World Health Organization Classification of Tumors of the Centra...
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doaj-c0f40f2c3beb46e4892572601847fc972021-06-01T01:11:43ZengMDPI AGJournal of Clinical Medicine2077-03832021-05-01102325232510.3390/jcm10112325Glioma-Specific Diffusion Signature in Diffusion Kurtosis ImagingJohann-Martin Hempel0Cornelia Brendle1Sasan Darius Adib2Felix Behling3Ghazaleh Tabatabai4Salvador Castaneda Vega5Jens Schittenhelm6Ulrike Ernemann7Uwe Klose8Department of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyDepartment of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyCenter for CNS Tumors, Comprehensive Cancer Center Tübingen—Stuttgart, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyCenter for CNS Tumors, Comprehensive Cancer Center Tübingen—Stuttgart, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyCenter for CNS Tumors, Comprehensive Cancer Center Tübingen—Stuttgart, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyCenter for CNS Tumors, Comprehensive Cancer Center Tübingen—Stuttgart, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyCenter for CNS Tumors, Comprehensive Cancer Center Tübingen—Stuttgart, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyDepartment of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyDepartment of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, GermanyPurpose: This study aimed to assess the relationship between mean kurtosis (MK) and mean diffusivity (MD) values from whole-brain diffusion kurtosis imaging (DKI) parametric maps in preoperative magnetic resonance (MR) images from 2016 World Health Organization Classification of Tumors of the Central Nervous System integrated glioma groups. Methods: Seventy-seven patients with histopathologically confirmed treatment-naïve glioma were retrospectively assessed between 1 August 2013 and 30 October 2017. The area on scatter plots with a specific combination of MK and MD values, not occurring in the healthy brain, was labeled, and the corresponding voxels were visualized on the fluid-attenuated inversion recovery (FLAIR) images. Reversely, the labeled voxels were compared to those of the manually segmented tumor volume, and the Dice similarity coefficient was used to investigate their spatial overlap. Results: A specific combination of MK and MD values in whole-brain DKI maps, visualized on a two-dimensional scatter plot, exclusively occurs in glioma tissue including the perifocal infiltrative zone and is absent in tissue of the normal brain or from other intracranial compartments. Conclusions: A unique diffusion signature with a specific combination of MK and MD values from whole-brain DKI can identify diffuse glioma without any previous segmentation. This feature might influence artificial intelligence algorithms for automatic tumor segmentation and provide new aspects of tumor heterogeneity.https://www.mdpi.com/2077-0383/10/11/2325gliomadiffusion kurtosis imagingmean kurtosismean diffusivitydiffusion signaturesegmentation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Johann-Martin Hempel Cornelia Brendle Sasan Darius Adib Felix Behling Ghazaleh Tabatabai Salvador Castaneda Vega Jens Schittenhelm Ulrike Ernemann Uwe Klose |
spellingShingle |
Johann-Martin Hempel Cornelia Brendle Sasan Darius Adib Felix Behling Ghazaleh Tabatabai Salvador Castaneda Vega Jens Schittenhelm Ulrike Ernemann Uwe Klose Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging Journal of Clinical Medicine glioma diffusion kurtosis imaging mean kurtosis mean diffusivity diffusion signature segmentation |
author_facet |
Johann-Martin Hempel Cornelia Brendle Sasan Darius Adib Felix Behling Ghazaleh Tabatabai Salvador Castaneda Vega Jens Schittenhelm Ulrike Ernemann Uwe Klose |
author_sort |
Johann-Martin Hempel |
title |
Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging |
title_short |
Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging |
title_full |
Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging |
title_fullStr |
Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging |
title_full_unstemmed |
Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging |
title_sort |
glioma-specific diffusion signature in diffusion kurtosis imaging |
publisher |
MDPI AG |
series |
Journal of Clinical Medicine |
issn |
2077-0383 |
publishDate |
2021-05-01 |
description |
Purpose: This study aimed to assess the relationship between mean kurtosis (MK) and mean diffusivity (MD) values from whole-brain diffusion kurtosis imaging (DKI) parametric maps in preoperative magnetic resonance (MR) images from 2016 World Health Organization Classification of Tumors of the Central Nervous System integrated glioma groups. Methods: Seventy-seven patients with histopathologically confirmed treatment-naïve glioma were retrospectively assessed between 1 August 2013 and 30 October 2017. The area on scatter plots with a specific combination of MK and MD values, not occurring in the healthy brain, was labeled, and the corresponding voxels were visualized on the fluid-attenuated inversion recovery (FLAIR) images. Reversely, the labeled voxels were compared to those of the manually segmented tumor volume, and the Dice similarity coefficient was used to investigate their spatial overlap. Results: A specific combination of MK and MD values in whole-brain DKI maps, visualized on a two-dimensional scatter plot, exclusively occurs in glioma tissue including the perifocal infiltrative zone and is absent in tissue of the normal brain or from other intracranial compartments. Conclusions: A unique diffusion signature with a specific combination of MK and MD values from whole-brain DKI can identify diffuse glioma without any previous segmentation. This feature might influence artificial intelligence algorithms for automatic tumor segmentation and provide new aspects of tumor heterogeneity. |
topic |
glioma diffusion kurtosis imaging mean kurtosis mean diffusivity diffusion signature segmentation |
url |
https://www.mdpi.com/2077-0383/10/11/2325 |
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