Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI
Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI can simultaneously measure diffusion and perfusion characteristics in a non‐invasive way. This study aimed to determine the potential utility of IVIM in characterizing brain diffusion and perfusion properties for clinical stroke. The multi‐b...
Gespeichert in:
| Veröffentlicht in: | NMR in biomedicine 2016-03, Vol.29 (3), p.320-328 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 328 |
|---|---|
| container_issue | 3 |
| container_start_page | 320 |
| container_title | NMR in biomedicine |
| container_volume | 29 |
| creator | Suo, Shiteng Cao, Mengqiu Zhu, Wanqiu Li, Lei Li, Jun Shen, Fei Zu, Jinyan Zhou, Zien Zhuang, Zhiguo Qu, Jianxun Chen, Zengai Xu, Jianrong |
| description | Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI can simultaneously measure diffusion and perfusion characteristics in a non‐invasive way. This study aimed to determine the potential utility of IVIM in characterizing brain diffusion and perfusion properties for clinical stroke. The multi‐b‐value diffusion‐weighted images of 101 patients diagnosed with acute/subacute ischemic stroke were retrospectively evaluated. The diffusion coefficient D, representing the water apparent diffusivity, was obtained by fitting the diffusion data with increasing high b‐values to a simple mono‐exponential model. The IVIM‐derived perfusion parameters, pseudodiffusion coefficient D*, vascular volume fraction f and blood flow‐related parameter fD*, were calculated with the bi‐exponential model. Additionally, the apparent diffusion coefficient (ADC) was fitted according to the mono‐exponential model using all b‐values. The diffusion parameters for the ischemic lesion and normal contralateral region were measured in each patient. Statistical analysis was performed using the paired Student t‐test and Pearson correlation test. Diffusion data in both the ischemic lesion and normal contralateral region followed the IVIM bi‐exponential behavior, and the IVIM model showed better goodness of fit than the mono‐exponential model with lower Akaike information criterion values. The paired Student t‐test revealed significant differences for all diffusion parameters (all P |
| doi_str_mv | 10.1002/nbm.3467 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1776662605</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3963955581</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4207-ee69b05e809391a4f01b766ff84f8178064e885d520f466bde74997594ddcbe43</originalsourceid><addsrcrecordid>eNqNkU1rFEEQhhtRzBoFf4EMePEysbqnP48mxjWSjRAVj818VLudzEwn3TPZ5N_ba9YIguCpXqiHB6peQl5SOKAA7O3YDAcVl-oRWVAwpqTcsMdkAUawsuIa9sizlC4AQPOKPSV7TCquhWIL8unLFMMlFnVKmNKA41Rs_LQu_DjF-ibcYp9jG9YYt6shTD6MReedm1NO5Qb9j_WEXbE6P3lOnri6T_hiN_fJtw_HX48-lqeflydH707LljNQJaI0DQjUYCpDa-6ANkpK5zR3mioNkqPWohMMHJey6VBxY5QwvOvaBnm1T97ce69iuJ4xTXbwqcW-r0cMc7JUZZ1kEsR_oFILySXfoq__Qi_CHMd8yC-KZhuXf4RtDClFdPYq-qGOd5aC3VZhcxV2W0VGX-2EczNg9wD-_n0Gyntg43u8-6fInh2udsId79OEtw98HS9t3iphv58t7ZJW56tDvbLvq58LTp_K</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1768105346</pqid></control><display><type>article</type><title>Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI</title><source>MEDLINE</source><source>Wiley Journals</source><creator>Suo, Shiteng ; Cao, Mengqiu ; Zhu, Wanqiu ; Li, Lei ; Li, Jun ; Shen, Fei ; Zu, Jinyan ; Zhou, Zien ; Zhuang, Zhiguo ; Qu, Jianxun ; Chen, Zengai ; Xu, Jianrong</creator><creatorcontrib>Suo, Shiteng ; Cao, Mengqiu ; Zhu, Wanqiu ; Li, Lei ; Li, Jun ; Shen, Fei ; Zu, Jinyan ; Zhou, Zien ; Zhuang, Zhiguo ; Qu, Jianxun ; Chen, Zengai ; Xu, Jianrong</creatorcontrib><description><![CDATA[Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI can simultaneously measure diffusion and perfusion characteristics in a non‐invasive way. This study aimed to determine the potential utility of IVIM in characterizing brain diffusion and perfusion properties for clinical stroke. The multi‐b‐value diffusion‐weighted images of 101 patients diagnosed with acute/subacute ischemic stroke were retrospectively evaluated. The diffusion coefficient D, representing the water apparent diffusivity, was obtained by fitting the diffusion data with increasing high b‐values to a simple mono‐exponential model. The IVIM‐derived perfusion parameters, pseudodiffusion coefficient D*, vascular volume fraction f and blood flow‐related parameter fD*, were calculated with the bi‐exponential model. Additionally, the apparent diffusion coefficient (ADC) was fitted according to the mono‐exponential model using all b‐values. The diffusion parameters for the ischemic lesion and normal contralateral region were measured in each patient. Statistical analysis was performed using the paired Student t‐test and Pearson correlation test. Diffusion data in both the ischemic lesion and normal contralateral region followed the IVIM bi‐exponential behavior, and the IVIM model showed better goodness of fit than the mono‐exponential model with lower Akaike information criterion values. The paired Student t‐test revealed significant differences for all diffusion parameters (all P < 0.001) except D* (P = 0.218) between ischemic and normal areas. For all patients in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001) and f (r = 0.541, P < 0.001; r = 0.262, P = 0.008); significant correlation was also found between ADC and fD* in the ischemic region (r = 0.254, P = 0.010). For all pixels within the region of interest from a representative subject in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001), f (r = 0.823, P < 0.001; r = 0.652, P < 0.001) and fD* (r = 0.294, P < 0.001; r = 0.340, P < 0.001). These findings may have clinical implications for the use of IVIM imaging in the assessment and management of acute/subacute stroke patients. Copyright © 2016 John Wiley & Sons, Ltd.
Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI was applied in patients with acute/subacute ischemic stroke. Our results showed that the IVIM bi‐exponential model fitted the diffusion data better than the conventional mono‐exponential model, and demonstrated that the IVIM imaging was capable to evaluate the diffusion and perfusion effects simultaneously in human stroke, in a quantitative and non‐invasive way.]]></description><identifier>ISSN: 0952-3480</identifier><identifier>EISSN: 1099-1492</identifier><identifier>DOI: 10.1002/nbm.3467</identifier><identifier>PMID: 26748572</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; bi-exponential ; Diffusion Magnetic Resonance Imaging - methods ; diffusion-weighted imaging ; Female ; human brain ; Humans ; intravoxel incoherent motion ; Male ; Middle Aged ; Models, Theoretical ; Motion ; perfusion ; stroke ; Stroke - diagnostic imaging</subject><ispartof>NMR in biomedicine, 2016-03, Vol.29 (3), p.320-328</ispartof><rights>Copyright © 2016 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4207-ee69b05e809391a4f01b766ff84f8178064e885d520f466bde74997594ddcbe43</citedby><cites>FETCH-LOGICAL-c4207-ee69b05e809391a4f01b766ff84f8178064e885d520f466bde74997594ddcbe43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fnbm.3467$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fnbm.3467$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26748572$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Suo, Shiteng</creatorcontrib><creatorcontrib>Cao, Mengqiu</creatorcontrib><creatorcontrib>Zhu, Wanqiu</creatorcontrib><creatorcontrib>Li, Lei</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Shen, Fei</creatorcontrib><creatorcontrib>Zu, Jinyan</creatorcontrib><creatorcontrib>Zhou, Zien</creatorcontrib><creatorcontrib>Zhuang, Zhiguo</creatorcontrib><creatorcontrib>Qu, Jianxun</creatorcontrib><creatorcontrib>Chen, Zengai</creatorcontrib><creatorcontrib>Xu, Jianrong</creatorcontrib><title>Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI</title><title>NMR in biomedicine</title><addtitle>NMR Biomed</addtitle><description><![CDATA[Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI can simultaneously measure diffusion and perfusion characteristics in a non‐invasive way. This study aimed to determine the potential utility of IVIM in characterizing brain diffusion and perfusion properties for clinical stroke. The multi‐b‐value diffusion‐weighted images of 101 patients diagnosed with acute/subacute ischemic stroke were retrospectively evaluated. The diffusion coefficient D, representing the water apparent diffusivity, was obtained by fitting the diffusion data with increasing high b‐values to a simple mono‐exponential model. The IVIM‐derived perfusion parameters, pseudodiffusion coefficient D*, vascular volume fraction f and blood flow‐related parameter fD*, were calculated with the bi‐exponential model. Additionally, the apparent diffusion coefficient (ADC) was fitted according to the mono‐exponential model using all b‐values. The diffusion parameters for the ischemic lesion and normal contralateral region were measured in each patient. Statistical analysis was performed using the paired Student t‐test and Pearson correlation test. Diffusion data in both the ischemic lesion and normal contralateral region followed the IVIM bi‐exponential behavior, and the IVIM model showed better goodness of fit than the mono‐exponential model with lower Akaike information criterion values. The paired Student t‐test revealed significant differences for all diffusion parameters (all P < 0.001) except D* (P = 0.218) between ischemic and normal areas. For all patients in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001) and f (r = 0.541, P < 0.001; r = 0.262, P = 0.008); significant correlation was also found between ADC and fD* in the ischemic region (r = 0.254, P = 0.010). For all pixels within the region of interest from a representative subject in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001), f (r = 0.823, P < 0.001; r = 0.652, P < 0.001) and fD* (r = 0.294, P < 0.001; r = 0.340, P < 0.001). These findings may have clinical implications for the use of IVIM imaging in the assessment and management of acute/subacute stroke patients. Copyright © 2016 John Wiley & Sons, Ltd.
Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI was applied in patients with acute/subacute ischemic stroke. Our results showed that the IVIM bi‐exponential model fitted the diffusion data better than the conventional mono‐exponential model, and demonstrated that the IVIM imaging was capable to evaluate the diffusion and perfusion effects simultaneously in human stroke, in a quantitative and non‐invasive way.]]></description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>bi-exponential</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>diffusion-weighted imaging</subject><subject>Female</subject><subject>human brain</subject><subject>Humans</subject><subject>intravoxel incoherent motion</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Theoretical</subject><subject>Motion</subject><subject>perfusion</subject><subject>stroke</subject><subject>Stroke - diagnostic imaging</subject><issn>0952-3480</issn><issn>1099-1492</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1rFEEQhhtRzBoFf4EMePEysbqnP48mxjWSjRAVj818VLudzEwn3TPZ5N_ba9YIguCpXqiHB6peQl5SOKAA7O3YDAcVl-oRWVAwpqTcsMdkAUawsuIa9sizlC4AQPOKPSV7TCquhWIL8unLFMMlFnVKmNKA41Rs_LQu_DjF-ibcYp9jG9YYt6shTD6MReedm1NO5Qb9j_WEXbE6P3lOnri6T_hiN_fJtw_HX48-lqeflydH707LljNQJaI0DQjUYCpDa-6ANkpK5zR3mioNkqPWohMMHJey6VBxY5QwvOvaBnm1T97ce69iuJ4xTXbwqcW-r0cMc7JUZZ1kEsR_oFILySXfoq__Qi_CHMd8yC-KZhuXf4RtDClFdPYq-qGOd5aC3VZhcxV2W0VGX-2EczNg9wD-_n0Gyntg43u8-6fInh2udsId79OEtw98HS9t3iphv58t7ZJW56tDvbLvq58LTp_K</recordid><startdate>201603</startdate><enddate>201603</enddate><creator>Suo, Shiteng</creator><creator>Cao, Mengqiu</creator><creator>Zhu, Wanqiu</creator><creator>Li, Lei</creator><creator>Li, Jun</creator><creator>Shen, Fei</creator><creator>Zu, Jinyan</creator><creator>Zhou, Zien</creator><creator>Zhuang, Zhiguo</creator><creator>Qu, Jianxun</creator><creator>Chen, Zengai</creator><creator>Xu, Jianrong</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201603</creationdate><title>Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI</title><author>Suo, Shiteng ; Cao, Mengqiu ; Zhu, Wanqiu ; Li, Lei ; Li, Jun ; Shen, Fei ; Zu, Jinyan ; Zhou, Zien ; Zhuang, Zhiguo ; Qu, Jianxun ; Chen, Zengai ; Xu, Jianrong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4207-ee69b05e809391a4f01b766ff84f8178064e885d520f466bde74997594ddcbe43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>bi-exponential</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>diffusion-weighted imaging</topic><topic>Female</topic><topic>human brain</topic><topic>Humans</topic><topic>intravoxel incoherent motion</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Theoretical</topic><topic>Motion</topic><topic>perfusion</topic><topic>stroke</topic><topic>Stroke - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suo, Shiteng</creatorcontrib><creatorcontrib>Cao, Mengqiu</creatorcontrib><creatorcontrib>Zhu, Wanqiu</creatorcontrib><creatorcontrib>Li, Lei</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Shen, Fei</creatorcontrib><creatorcontrib>Zu, Jinyan</creatorcontrib><creatorcontrib>Zhou, Zien</creatorcontrib><creatorcontrib>Zhuang, Zhiguo</creatorcontrib><creatorcontrib>Qu, Jianxun</creatorcontrib><creatorcontrib>Chen, Zengai</creatorcontrib><creatorcontrib>Xu, Jianrong</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>NMR in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suo, Shiteng</au><au>Cao, Mengqiu</au><au>Zhu, Wanqiu</au><au>Li, Lei</au><au>Li, Jun</au><au>Shen, Fei</au><au>Zu, Jinyan</au><au>Zhou, Zien</au><au>Zhuang, Zhiguo</au><au>Qu, Jianxun</au><au>Chen, Zengai</au><au>Xu, Jianrong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI</atitle><jtitle>NMR in biomedicine</jtitle><addtitle>NMR Biomed</addtitle><date>2016-03</date><risdate>2016</risdate><volume>29</volume><issue>3</issue><spage>320</spage><epage>328</epage><pages>320-328</pages><issn>0952-3480</issn><eissn>1099-1492</eissn><abstract><![CDATA[Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI can simultaneously measure diffusion and perfusion characteristics in a non‐invasive way. This study aimed to determine the potential utility of IVIM in characterizing brain diffusion and perfusion properties for clinical stroke. The multi‐b‐value diffusion‐weighted images of 101 patients diagnosed with acute/subacute ischemic stroke were retrospectively evaluated. The diffusion coefficient D, representing the water apparent diffusivity, was obtained by fitting the diffusion data with increasing high b‐values to a simple mono‐exponential model. The IVIM‐derived perfusion parameters, pseudodiffusion coefficient D*, vascular volume fraction f and blood flow‐related parameter fD*, were calculated with the bi‐exponential model. Additionally, the apparent diffusion coefficient (ADC) was fitted according to the mono‐exponential model using all b‐values. The diffusion parameters for the ischemic lesion and normal contralateral region were measured in each patient. Statistical analysis was performed using the paired Student t‐test and Pearson correlation test. Diffusion data in both the ischemic lesion and normal contralateral region followed the IVIM bi‐exponential behavior, and the IVIM model showed better goodness of fit than the mono‐exponential model with lower Akaike information criterion values. The paired Student t‐test revealed significant differences for all diffusion parameters (all P < 0.001) except D* (P = 0.218) between ischemic and normal areas. For all patients in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001) and f (r = 0.541, P < 0.001; r = 0.262, P = 0.008); significant correlation was also found between ADC and fD* in the ischemic region (r = 0.254, P = 0.010). For all pixels within the region of interest from a representative subject in both ischemic and normal regions, ADC was significantly positively correlated with D (both r = 1, both P < 0.001), f (r = 0.823, P < 0.001; r = 0.652, P < 0.001) and fD* (r = 0.294, P < 0.001; r = 0.340, P < 0.001). These findings may have clinical implications for the use of IVIM imaging in the assessment and management of acute/subacute stroke patients. Copyright © 2016 John Wiley & Sons, Ltd.
Intravoxel incoherent motion (IVIM) diffusion‐weighted MRI was applied in patients with acute/subacute ischemic stroke. Our results showed that the IVIM bi‐exponential model fitted the diffusion data better than the conventional mono‐exponential model, and demonstrated that the IVIM imaging was capable to evaluate the diffusion and perfusion effects simultaneously in human stroke, in a quantitative and non‐invasive way.]]></abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>26748572</pmid><doi>10.1002/nbm.3467</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0952-3480 |
| ispartof | NMR in biomedicine, 2016-03, Vol.29 (3), p.320-328 |
| issn | 0952-3480 1099-1492 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1776662605 |
| source | MEDLINE; Wiley Journals |
| subjects | Adult Aged Aged, 80 and over bi-exponential Diffusion Magnetic Resonance Imaging - methods diffusion-weighted imaging Female human brain Humans intravoxel incoherent motion Male Middle Aged Models, Theoretical Motion perfusion stroke Stroke - diagnostic imaging |
| title | Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T14%3A09%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Stroke%20assessment%20with%20intravoxel%20incoherent%20motion%20diffusion-weighted%20MRI&rft.jtitle=NMR%20in%20biomedicine&rft.au=Suo,%20Shiteng&rft.date=2016-03&rft.volume=29&rft.issue=3&rft.spage=320&rft.epage=328&rft.pages=320-328&rft.issn=0952-3480&rft.eissn=1099-1492&rft_id=info:doi/10.1002/nbm.3467&rft_dat=%3Cproquest_cross%3E3963955581%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1768105346&rft_id=info:pmid/26748572&rfr_iscdi=true |