Diffusion kurtosis imaging for different brain masses characterization

BackgroundDiffusion kurtosis imaging is an advanced magnetic resonance imaging technique that reveals additional information on the microstructure and micro-dynamics of different brain masses without the need for contrast agents. The aim of this study was to provide a comprehensive analysis of the r...

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Published in:Egyptian journal of radiology and nuclear medicine 2024-07, Vol.55 (1), p.145-18
Main Authors: Abdelnasser, Reem M, AbdelGaleel, Aya, Farhoud, Ahmed H, Mazloum, Yasser, Ihab Reda, M
Format: Article
Language:English
Subjects:
Abscess
Abscesses
Brain cancer
Contrast media
Diffusion kurtosis
Glioma
Histopathology
Kurtosis
Magnetic resonance imaging
Mean kurtosis
Necrosis
Radiation
Spectrum analysis
Tumors
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container_title Egyptian journal of radiology and nuclear medicine
container_volume 55
creator Abdelnasser, Reem M
AbdelGaleel, Aya
Farhoud, Ahmed H
Mazloum, Yasser
Ihab Reda, M
description BackgroundDiffusion kurtosis imaging is an advanced magnetic resonance imaging technique that reveals additional information on the microstructure and micro-dynamics of different brain masses without the need for contrast agents. The aim of this study was to provide a comprehensive analysis of the role of MRI diffusion kurtosis and to compare it with magnetic resonance spectroscopy (MRS) and dynamic susceptibility contrast perfusion (DSC) in characterizing different brain masses, including gliomas, recurrent tumors, radiation necrosis, abscesses, and infarctions. Sixty-six patients with intracranial brain masses were enrolled in this prospective study. All patients were examined by conventional MRI sequences, DSC perfusion, MRS, and diffusion kurtosis imaging, with implemented b values which were 200, 500, 1000, 1500 and 2000s/mm2.ResultsMean kurtosis (MK) was higher (P 
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The aim of this study was to provide a comprehensive analysis of the role of MRI diffusion kurtosis and to compare it with magnetic resonance spectroscopy (MRS) and dynamic susceptibility contrast perfusion (DSC) in characterizing different brain masses, including gliomas, recurrent tumors, radiation necrosis, abscesses, and infarctions. Sixty-six patients with intracranial brain masses were enrolled in this prospective study. All patients were examined by conventional MRI sequences, DSC perfusion, MRS, and diffusion kurtosis imaging, with implemented b values which were 200, 500, 1000, 1500 and 2000s/mm2.ResultsMean kurtosis (MK) was higher (P &lt; 0.001) in recurrent brain tumors than in radiation-induced necrosis; the optimal MK cutoff value for differentiation between them was 642 with 91.3% sensitivity and 85.7% specificity. Mean kurtosis was also higher (P &lt; 0.001) in high-grade gliomas than in low-grade gliomas; the optimal MK cutoff value for differentiation between them was 639 with 91.6% sensitivity and 85.71% specificity. There was a good level of agreement between ADC and MD within the studied cases, with a correlation coefficient r = 0.815. MK had more sensitivity and specificity in differentiation between high- and low-grade gliomas, as well as RIN and tumoral recurrence, than MRS and DSC.ConclusionsDiffusion kurtosis imaging stands as an integral, noninvasive, and noncontrast tool for the characterization of various brain masses. It augments the capabilities of traditional and advanced MRI techniques, providing a deeper understanding of the microstructural changes in brain tissues.</description><identifier>ISSN: 0378-603X</identifier><identifier>EISSN: 2090-4762</identifier><identifier>DOI: 10.1186/s43055-024-01315-x</identifier><language>eng</language><publisher>Cairo: Springer Nature B.V</publisher><subject>Abscess ; Abscesses ; Brain cancer ; Contrast media ; Diffusion kurtosis ; Glioma ; Histopathology ; Kurtosis ; Magnetic resonance imaging ; Mean kurtosis ; Necrosis ; Radiation ; Spectrum analysis ; Tumors</subject><ispartof>Egyptian journal of radiology and nuclear medicine, 2024-07, Vol.55 (1), p.145-18</ispartof><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3086192406/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3086192406?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Abdelnasser, Reem M</creatorcontrib><creatorcontrib>AbdelGaleel, Aya</creatorcontrib><creatorcontrib>Farhoud, Ahmed H</creatorcontrib><creatorcontrib>Mazloum, Yasser</creatorcontrib><creatorcontrib>Ihab Reda, M</creatorcontrib><title>Diffusion kurtosis imaging for different brain masses characterization</title><title>Egyptian journal of radiology and nuclear medicine</title><description>BackgroundDiffusion kurtosis imaging is an advanced magnetic resonance imaging technique that reveals additional information on the microstructure and micro-dynamics of different brain masses without the need for contrast agents. The aim of this study was to provide a comprehensive analysis of the role of MRI diffusion kurtosis and to compare it with magnetic resonance spectroscopy (MRS) and dynamic susceptibility contrast perfusion (DSC) in characterizing different brain masses, including gliomas, recurrent tumors, radiation necrosis, abscesses, and infarctions. Sixty-six patients with intracranial brain masses were enrolled in this prospective study. All patients were examined by conventional MRI sequences, DSC perfusion, MRS, and diffusion kurtosis imaging, with implemented b values which were 200, 500, 1000, 1500 and 2000s/mm2.ResultsMean kurtosis (MK) was higher (P &lt; 0.001) in recurrent brain tumors than in radiation-induced necrosis; the optimal MK cutoff value for differentiation between them was 642 with 91.3% sensitivity and 85.7% specificity. Mean kurtosis was also higher (P &lt; 0.001) in high-grade gliomas than in low-grade gliomas; the optimal MK cutoff value for differentiation between them was 639 with 91.6% sensitivity and 85.71% specificity. There was a good level of agreement between ADC and MD within the studied cases, with a correlation coefficient r = 0.815. MK had more sensitivity and specificity in differentiation between high- and low-grade gliomas, as well as RIN and tumoral recurrence, than MRS and DSC.ConclusionsDiffusion kurtosis imaging stands as an integral, noninvasive, and noncontrast tool for the characterization of various brain masses. It augments the capabilities of traditional and advanced MRI techniques, providing a deeper understanding of the microstructural changes in brain tissues.</description><subject>Abscess</subject><subject>Abscesses</subject><subject>Brain cancer</subject><subject>Contrast media</subject><subject>Diffusion kurtosis</subject><subject>Glioma</subject><subject>Histopathology</subject><subject>Kurtosis</subject><subject>Magnetic resonance imaging</subject><subject>Mean kurtosis</subject><subject>Necrosis</subject><subject>Radiation</subject><subject>Spectrum analysis</subject><subject>Tumors</subject><issn>0378-603X</issn><issn>2090-4762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNotjk1LAzEYhIMoWGr_gKcFz9E3X-8mR6lWC4IXBW9LNpvU1HZTk11Qf72LdS4DM8zDEHLJ4JoxjTdFClCKApcUmGCKfp2QGQcDVNbIT8kMRK0pgng7J4tStjBJAjCUM7K6iyGMJaa--hjzkEosVdzbTew3VUi56qbaZ98PVZtt7Ku9LcWXyr3bbN3gc_yxwzS-IGfB7opf_PucvK7uX5aP9On5Yb28faKOIw60DYrVpuWu8-ARvbLKdi1DZoWWqjOCOWlBB621QzRgaqdbCMyhd5oHIeZkfeR2yW6bQ56u5u8m2dj8BSlvGpuH6Ha-QcclSFMj64IMUrZMCK24ECilMEZNrKsj65DT5-jL0GzTmPvpfiNAIzPTHsUvwiFnYA</recordid><startdate>20240730</startdate><enddate>20240730</enddate><creator>Abdelnasser, Reem M</creator><creator>AbdelGaleel, Aya</creator><creator>Farhoud, Ahmed H</creator><creator>Mazloum, Yasser</creator><creator>Ihab Reda, M</creator><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope></search><sort><creationdate>20240730</creationdate><title>Diffusion kurtosis imaging for different brain masses characterization</title><author>Abdelnasser, Reem M ; 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The aim of this study was to provide a comprehensive analysis of the role of MRI diffusion kurtosis and to compare it with magnetic resonance spectroscopy (MRS) and dynamic susceptibility contrast perfusion (DSC) in characterizing different brain masses, including gliomas, recurrent tumors, radiation necrosis, abscesses, and infarctions. Sixty-six patients with intracranial brain masses were enrolled in this prospective study. All patients were examined by conventional MRI sequences, DSC perfusion, MRS, and diffusion kurtosis imaging, with implemented b values which were 200, 500, 1000, 1500 and 2000s/mm2.ResultsMean kurtosis (MK) was higher (P &lt; 0.001) in recurrent brain tumors than in radiation-induced necrosis; the optimal MK cutoff value for differentiation between them was 642 with 91.3% sensitivity and 85.7% specificity. Mean kurtosis was also higher (P &lt; 0.001) in high-grade gliomas than in low-grade gliomas; the optimal MK cutoff value for differentiation between them was 639 with 91.6% sensitivity and 85.71% specificity. There was a good level of agreement between ADC and MD within the studied cases, with a correlation coefficient r = 0.815. MK had more sensitivity and specificity in differentiation between high- and low-grade gliomas, as well as RIN and tumoral recurrence, than MRS and DSC.ConclusionsDiffusion kurtosis imaging stands as an integral, noninvasive, and noncontrast tool for the characterization of various brain masses. It augments the capabilities of traditional and advanced MRI techniques, providing a deeper understanding of the microstructural changes in brain tissues.</abstract><cop>Cairo</cop><pub>Springer Nature B.V</pub><doi>10.1186/s43055-024-01315-x</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record>
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subjects Abscess
Abscesses
Brain cancer
Contrast media
Diffusion kurtosis
Glioma
Histopathology
Kurtosis
Magnetic resonance imaging
Mean kurtosis
Necrosis
Radiation
Spectrum analysis
Tumors
title Diffusion kurtosis imaging for different brain masses characterization
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