Diffusion tensor and kurtosis imaging reveal microstructural changes in the trigeminal nerves of patients with trigeminal neuralgia
Objectives To evaluate the use of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) for detection of microstructural changes in the trigeminal nerves of trigeminal neuralgia (TN) patients. Methods Forty TN patients and 40 healthy controls were examined using 3 T magnetic resonance...
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| Veröffentlicht in: | European radiology 2023-11, Vol.33 (11), p.8046-8054 |
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| creator | Qi, Xixun He, Yunyun Wang, Qiushi Ren, Sixie Yao, Haibo Cao, Wanyu Guan, Liming |
| description | Objectives
To evaluate the use of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) for detection of microstructural changes in the trigeminal nerves of trigeminal neuralgia (TN) patients.
Methods
Forty TN patients and 40 healthy controls were examined using 3 T magnetic resonance imaging (MRI) to evaluate DTI and DKI parameters in trigeminal nerves. One-way ANOVA was used to test the differences in age, sex, and DTI and DKI parameters between the TN-affected sides, TN-unaffected sides, and controls. For parameters with inter-group differences, pairwise comparisons were performed. Then, the difference ratios (DRs) of the parameters with statistical differences were calculated and used for the receiver operating characteristic (ROC) analysis to assess their diagnostic performance. In addition, for the DTI and DKI parameter values with differences, we used pure DTI and DKI values to perform the ROC analysis.
Results
Compared to the unaffected sides and controls, the FA, MK, and Kr of the affected sides of TN patients were significantly reduced, while ADC was significantly increased (
p
|
| doi_str_mv | 10.1007/s00330-023-09762-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2821340774</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2821340774</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-58539b53fef3ec21e998c6bed71e640ed63ce7aff9ab1d8808aa40ff80e42543</originalsourceid><addsrcrecordid>eNp9kc1O3DAUhS1UBJT2BbpAlrphk3L9k9hZIgptJaRu2Fue5DpjOnEG2wF1zYvX6QBtWXRlW-e751rnEPKBwScGoM4SgBBQARcVtKrhFd8jR0wKXjHQ8s1f90PyNqVbAGiZVAfkUCheN6KGI_L42Ts3Jz8FmjGkKVIbevpjjnlKPlE_2sGHgUa8R7uho-_ilHKcuzzH8u7WNgxYsDK9RpqjH3D0oSgB430RJke3NnsMOdEHn9f_IovH4O07su_sJuH7p_OY3Fxd3lx8ra6_f_l2cX5ddULVuap1LdpVLRw6gR1n2La6a1bYK4aNBOwb0aGyzrV2xXqtQVsrwTkNKHktxTE53dlu43Q3Y8pm9KnDzcYGnOZkuOZMSFBqQT--Qm-nOZZPL5RmUAsl20LxHbWEkiI6s40lsPjTMDBLQ2bXkCkNmd8NGV6GTp6s59WI_cvIcyUFEDsgFamkG__s_o_tLx3_nv0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2881053749</pqid></control><display><type>article</type><title>Diffusion tensor and kurtosis imaging reveal microstructural changes in the trigeminal nerves of patients with trigeminal neuralgia</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Qi, Xixun ; He, Yunyun ; Wang, Qiushi ; Ren, Sixie ; Yao, Haibo ; Cao, Wanyu ; Guan, Liming</creator><creatorcontrib>Qi, Xixun ; He, Yunyun ; Wang, Qiushi ; Ren, Sixie ; Yao, Haibo ; Cao, Wanyu ; Guan, Liming</creatorcontrib><description>Objectives
To evaluate the use of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) for detection of microstructural changes in the trigeminal nerves of trigeminal neuralgia (TN) patients.
Methods
Forty TN patients and 40 healthy controls were examined using 3 T magnetic resonance imaging (MRI) to evaluate DTI and DKI parameters in trigeminal nerves. One-way ANOVA was used to test the differences in age, sex, and DTI and DKI parameters between the TN-affected sides, TN-unaffected sides, and controls. For parameters with inter-group differences, pairwise comparisons were performed. Then, the difference ratios (DRs) of the parameters with statistical differences were calculated and used for the receiver operating characteristic (ROC) analysis to assess their diagnostic performance. In addition, for the DTI and DKI parameter values with differences, we used pure DTI and DKI values to perform the ROC analysis.
Results
Compared to the unaffected sides and controls, the FA, MK, and Kr of the affected sides of TN patients were significantly reduced, while ADC was significantly increased (
p
< 0.05). The diagnostic efficiency of the FA DRs (AUC: 0.974; cutoff value: 0.038; sensitivity: 100%; specificity: 95.0%) was the highest among all DTI and DKI parameters. The DRs of FA and MK more efficiently diagnosed TN than pure FA and MK values.
Conclusions
DTI and DKI allowed detection of microstructural changes in TN-affected trigeminal nerves. FA DR was the best independent predictor of microstructural changes in TN.
Clinical relevance statement
Both DTI and DKI can be used for noninvasive quantitative evaluation of the changes in the microstructure of the cisternal segment of the cranial nerves in clinical practice.
Key Points
•
Diffusion tensor imaging (DTI) can be used to evaluate the
in vivo
integrity of white matter and nerve fiber pathway.
•
Diffusion kurtosis imaging (DKI) has been shown to be considerable sensitive to microstructural changes.
•
DTI combined with DKI can comprehensively evaluate the status of the TN-affected trigeminal nerve.</description><identifier>ISSN: 1432-1084</identifier><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-023-09762-2</identifier><identifier>PMID: 37256350</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Cranial nerves ; Diagnostic Radiology ; Diagnostic systems ; Diffusion Tensor Imaging - methods ; Humans ; Imaging ; In vivo methods and tests ; Internal Medicine ; Interventional Radiology ; Kurtosis ; Magnetic Resonance Imaging ; Mathematical analysis ; Medical imaging ; Medicine ; Medicine & Public Health ; Microstructure ; Nerves ; Neuralgia ; Neuro ; Neuroradiology ; Parameters ; Radiology ; Substantia alba ; Tensors ; Trigeminal nerve ; Trigeminal Nerve - diagnostic imaging ; Trigeminal Neuralgia - diagnostic imaging ; Ultrasound ; Variance analysis ; White Matter</subject><ispartof>European radiology, 2023-11, Vol.33 (11), p.8046-8054</ispartof><rights>The Author(s), under exclusive licence to European Society of Radiology 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to European Society of Radiology.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-58539b53fef3ec21e998c6bed71e640ed63ce7aff9ab1d8808aa40ff80e42543</citedby><cites>FETCH-LOGICAL-c375t-58539b53fef3ec21e998c6bed71e640ed63ce7aff9ab1d8808aa40ff80e42543</cites><orcidid>0000-0003-1828-1296</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-023-09762-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-023-09762-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27931,27932,41495,42564,51326</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37256350$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Qi, Xixun</creatorcontrib><creatorcontrib>He, Yunyun</creatorcontrib><creatorcontrib>Wang, Qiushi</creatorcontrib><creatorcontrib>Ren, Sixie</creatorcontrib><creatorcontrib>Yao, Haibo</creatorcontrib><creatorcontrib>Cao, Wanyu</creatorcontrib><creatorcontrib>Guan, Liming</creatorcontrib><title>Diffusion tensor and kurtosis imaging reveal microstructural changes in the trigeminal nerves of patients with trigeminal neuralgia</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To evaluate the use of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) for detection of microstructural changes in the trigeminal nerves of trigeminal neuralgia (TN) patients.
Methods
Forty TN patients and 40 healthy controls were examined using 3 T magnetic resonance imaging (MRI) to evaluate DTI and DKI parameters in trigeminal nerves. One-way ANOVA was used to test the differences in age, sex, and DTI and DKI parameters between the TN-affected sides, TN-unaffected sides, and controls. For parameters with inter-group differences, pairwise comparisons were performed. Then, the difference ratios (DRs) of the parameters with statistical differences were calculated and used for the receiver operating characteristic (ROC) analysis to assess their diagnostic performance. In addition, for the DTI and DKI parameter values with differences, we used pure DTI and DKI values to perform the ROC analysis.
Results
Compared to the unaffected sides and controls, the FA, MK, and Kr of the affected sides of TN patients were significantly reduced, while ADC was significantly increased (
p
< 0.05). The diagnostic efficiency of the FA DRs (AUC: 0.974; cutoff value: 0.038; sensitivity: 100%; specificity: 95.0%) was the highest among all DTI and DKI parameters. The DRs of FA and MK more efficiently diagnosed TN than pure FA and MK values.
Conclusions
DTI and DKI allowed detection of microstructural changes in TN-affected trigeminal nerves. FA DR was the best independent predictor of microstructural changes in TN.
Clinical relevance statement
Both DTI and DKI can be used for noninvasive quantitative evaluation of the changes in the microstructure of the cisternal segment of the cranial nerves in clinical practice.
Key Points
•
Diffusion tensor imaging (DTI) can be used to evaluate the
in vivo
integrity of white matter and nerve fiber pathway.
•
Diffusion kurtosis imaging (DKI) has been shown to be considerable sensitive to microstructural changes.
•
DTI combined with DKI can comprehensively evaluate the status of the TN-affected trigeminal nerve.</description><subject>Cranial nerves</subject><subject>Diagnostic Radiology</subject><subject>Diagnostic systems</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Humans</subject><subject>Imaging</subject><subject>In vivo methods and tests</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Kurtosis</subject><subject>Magnetic Resonance Imaging</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Microstructure</subject><subject>Nerves</subject><subject>Neuralgia</subject><subject>Neuro</subject><subject>Neuroradiology</subject><subject>Parameters</subject><subject>Radiology</subject><subject>Substantia alba</subject><subject>Tensors</subject><subject>Trigeminal nerve</subject><subject>Trigeminal Nerve - diagnostic imaging</subject><subject>Trigeminal Neuralgia - diagnostic imaging</subject><subject>Ultrasound</subject><subject>Variance analysis</subject><subject>White Matter</subject><issn>1432-1084</issn><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc1O3DAUhS1UBJT2BbpAlrphk3L9k9hZIgptJaRu2Fue5DpjOnEG2wF1zYvX6QBtWXRlW-e751rnEPKBwScGoM4SgBBQARcVtKrhFd8jR0wKXjHQ8s1f90PyNqVbAGiZVAfkUCheN6KGI_L42Ts3Jz8FmjGkKVIbevpjjnlKPlE_2sGHgUa8R7uho-_ilHKcuzzH8u7WNgxYsDK9RpqjH3D0oSgB430RJke3NnsMOdEHn9f_IovH4O07su_sJuH7p_OY3Fxd3lx8ra6_f_l2cX5ddULVuap1LdpVLRw6gR1n2La6a1bYK4aNBOwb0aGyzrV2xXqtQVsrwTkNKHktxTE53dlu43Q3Y8pm9KnDzcYGnOZkuOZMSFBqQT--Qm-nOZZPL5RmUAsl20LxHbWEkiI6s40lsPjTMDBLQ2bXkCkNmd8NGV6GTp6s59WI_cvIcyUFEDsgFamkG__s_o_tLx3_nv0</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Qi, Xixun</creator><creator>He, Yunyun</creator><creator>Wang, Qiushi</creator><creator>Ren, Sixie</creator><creator>Yao, Haibo</creator><creator>Cao, Wanyu</creator><creator>Guan, Liming</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1828-1296</orcidid></search><sort><creationdate>20231101</creationdate><title>Diffusion tensor and kurtosis imaging reveal microstructural changes in the trigeminal nerves of patients with trigeminal neuralgia</title><author>Qi, Xixun ; He, Yunyun ; Wang, Qiushi ; Ren, Sixie ; Yao, Haibo ; Cao, Wanyu ; Guan, Liming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-58539b53fef3ec21e998c6bed71e640ed63ce7aff9ab1d8808aa40ff80e42543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cranial nerves</topic><topic>Diagnostic Radiology</topic><topic>Diagnostic systems</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Humans</topic><topic>Imaging</topic><topic>In vivo methods and tests</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Kurtosis</topic><topic>Magnetic Resonance Imaging</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Microstructure</topic><topic>Nerves</topic><topic>Neuralgia</topic><topic>Neuro</topic><topic>Neuroradiology</topic><topic>Parameters</topic><topic>Radiology</topic><topic>Substantia alba</topic><topic>Tensors</topic><topic>Trigeminal nerve</topic><topic>Trigeminal Nerve - diagnostic imaging</topic><topic>Trigeminal Neuralgia - diagnostic imaging</topic><topic>Ultrasound</topic><topic>Variance analysis</topic><topic>White Matter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qi, Xixun</creatorcontrib><creatorcontrib>He, Yunyun</creatorcontrib><creatorcontrib>Wang, Qiushi</creatorcontrib><creatorcontrib>Ren, Sixie</creatorcontrib><creatorcontrib>Yao, Haibo</creatorcontrib><creatorcontrib>Cao, Wanyu</creatorcontrib><creatorcontrib>Guan, Liming</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qi, Xixun</au><au>He, Yunyun</au><au>Wang, Qiushi</au><au>Ren, Sixie</au><au>Yao, Haibo</au><au>Cao, Wanyu</au><au>Guan, Liming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diffusion tensor and kurtosis imaging reveal microstructural changes in the trigeminal nerves of patients with trigeminal neuralgia</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>33</volume><issue>11</issue><spage>8046</spage><epage>8054</epage><pages>8046-8054</pages><issn>1432-1084</issn><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To evaluate the use of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) for detection of microstructural changes in the trigeminal nerves of trigeminal neuralgia (TN) patients.
Methods
Forty TN patients and 40 healthy controls were examined using 3 T magnetic resonance imaging (MRI) to evaluate DTI and DKI parameters in trigeminal nerves. One-way ANOVA was used to test the differences in age, sex, and DTI and DKI parameters between the TN-affected sides, TN-unaffected sides, and controls. For parameters with inter-group differences, pairwise comparisons were performed. Then, the difference ratios (DRs) of the parameters with statistical differences were calculated and used for the receiver operating characteristic (ROC) analysis to assess their diagnostic performance. In addition, for the DTI and DKI parameter values with differences, we used pure DTI and DKI values to perform the ROC analysis.
Results
Compared to the unaffected sides and controls, the FA, MK, and Kr of the affected sides of TN patients were significantly reduced, while ADC was significantly increased (
p
< 0.05). The diagnostic efficiency of the FA DRs (AUC: 0.974; cutoff value: 0.038; sensitivity: 100%; specificity: 95.0%) was the highest among all DTI and DKI parameters. The DRs of FA and MK more efficiently diagnosed TN than pure FA and MK values.
Conclusions
DTI and DKI allowed detection of microstructural changes in TN-affected trigeminal nerves. FA DR was the best independent predictor of microstructural changes in TN.
Clinical relevance statement
Both DTI and DKI can be used for noninvasive quantitative evaluation of the changes in the microstructure of the cisternal segment of the cranial nerves in clinical practice.
Key Points
•
Diffusion tensor imaging (DTI) can be used to evaluate the
in vivo
integrity of white matter and nerve fiber pathway.
•
Diffusion kurtosis imaging (DKI) has been shown to be considerable sensitive to microstructural changes.
•
DTI combined with DKI can comprehensively evaluate the status of the TN-affected trigeminal nerve.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37256350</pmid><doi>10.1007/s00330-023-09762-2</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1828-1296</orcidid></addata></record> |
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| ispartof | European radiology, 2023-11, Vol.33 (11), p.8046-8054 |
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| source | MEDLINE; SpringerNature Journals |
| subjects | Cranial nerves Diagnostic Radiology Diagnostic systems Diffusion Tensor Imaging - methods Humans Imaging In vivo methods and tests Internal Medicine Interventional Radiology Kurtosis Magnetic Resonance Imaging Mathematical analysis Medical imaging Medicine Medicine & Public Health Microstructure Nerves Neuralgia Neuro Neuroradiology Parameters Radiology Substantia alba Tensors Trigeminal nerve Trigeminal Nerve - diagnostic imaging Trigeminal Neuralgia - diagnostic imaging Ultrasound Variance analysis White Matter |
| title | Diffusion tensor and kurtosis imaging reveal microstructural changes in the trigeminal nerves of patients with trigeminal neuralgia |
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