Monitoring Bevacizumab‐Induced Tumor Vascular Normalization by Intravoxel Incoherent Motion Diffusion‐Weighted MRI
Background Accurate monitoring of tumor blood vessel normalization progression is beneficial to accurate treatment of patients. At present, there is a lack of safe and noninvasive monitoring methods. Purpose To serial monitor the vascular normalization time window of tumor antiangiogenesis treatment...
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Veröffentlicht in: | Journal of magnetic resonance imaging 2022-08, Vol.56 (2), p.427-439 |
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description | Background
Accurate monitoring of tumor blood vessel normalization progression is beneficial to accurate treatment of patients. At present, there is a lack of safe and noninvasive monitoring methods.
Purpose
To serial monitor the vascular normalization time window of tumor antiangiogenesis treatment through intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI) and histopathological methods.
Study Type
Exploratory animal study.
Population
Sixty rat C6 glioma models were randomly and equally divided into the control groups (N = 30) and bevacizumab treatment groups (N = 30). Twenty‐five for magnetic resonance imaging (MRI) and five for electron microscope testing in each group.
Field Strength/Sequence
T1‐weighted imaging (T1WI), T2WI with a fast spin echo sequence and IVIM‐DWI with a spin‐echo echo‐planar imaging sequence at 3 T.
Assessment
IVIM‐DWI quantitative parameters (f, D, D*, and fD*) were obtained on days 0, 2, 4, 6, and 8 after bevacizumab treatment. After MRI, the microvessel density (MVD), pericyte coverage, and hypoxia‐inducible factor‐1α (HIF‐1α) were assessed. Electron microscope observation was performed at each time point.
Statistical Tests
One‐way analysis of variance and Student's t‐tests were used to compare differences within and between groups. Spearman's correlation coefficient (r) assess the correlation between IVIM and pathological parameters. The intragroup correlation coefficient was determined to assess the repeatability of each IVIM parameter.
Results
The IVIM‐DWI perfusion parameters (f and fD*) of the treated group were higher than the control group on days 2 and 4. Compared to the control group, MVD decreased on days 2 and pericyte coverage increased on days 4 in the treatment group. Electron microscopy showed that the tight junctions of the treatment group were prolonged on days 2–4. In the control group, f had the highest correlation with MVD (r = 0.689). In the treated group, f had a good correlation with pericyte coverage (r = 0.557), HIF‐1α had a moderately positive correlation with f (r = 0.480) and fD*(r = 0.447).
Data Conclusion
The vascular normalization time window of bevacizumab treatment of glioma was days 2–4 after antiangiogenesis treatment, which could be monitored noninvasively by IVIM‐DWI.
Evidence Level
2
Technical Efficacy
Stage 3 |
doi_str_mv | 10.1002/jmri.28012 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2607598079</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2607598079</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3572-fc9eab8160c4173801ddaf90505f5ccd61ca113ef980f6704567464700394e043</originalsourceid><addsrcrecordid>eNp9kctOxCAUhonReBnd-ACmiRtjUj20Bdqld8fMaGK8LBuGgjJpi0IZHVc-gs_ok4iOunDhij_h4wvn_AitY9jBAMnuuLF6J8kBJ3NoGZMkiROS0_mQgaQxzoEtoRXnxgBQFBlZREtplrOUUbqMJkPT6s5Y3d5F-3LChX7xDR-9v77128oLWUVXvjE2uuFO-Jrb6NzYhtf6hXfatNFoGvXbzvKJeZZ1iMLcSyvbLhqar_tDrZR3IQXhrdR3910wDi_7q2hB8drJte-zh66Pj64OTuPBxUn_YG8Qi5SwJFaikHyUYwoiwywNI1YVVwUQIIoIUVEsOMapVEUOijLICGUZzRhAWmQSsrSHtmbeB2sevXRd2WgnZF3zVhrvyoQCI-ExKwK6-QcdG2_b8LtA5YyygOJAbc8oYY1zVqryweqG22mJofxso_xso_xqI8Ab30o_amT1i_6sPwB4BjzpWk7_UZVnYWkz6QcCspcs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2687676071</pqid></control><display><type>article</type><title>Monitoring Bevacizumab‐Induced Tumor Vascular Normalization by Intravoxel Incoherent Motion Diffusion‐Weighted MRI</title><source>Access via Wiley Online Library</source><creator>Li, Bo ; Xu, Dan ; Zhou, Jie ; Wang, Shou‐Chao ; Cai, Yu‐Xiang ; Li, Huan ; Xu, Hai‐Bo</creator><creatorcontrib>Li, Bo ; Xu, Dan ; Zhou, Jie ; Wang, Shou‐Chao ; Cai, Yu‐Xiang ; Li, Huan ; Xu, Hai‐Bo</creatorcontrib><description>Background
Accurate monitoring of tumor blood vessel normalization progression is beneficial to accurate treatment of patients. At present, there is a lack of safe and noninvasive monitoring methods.
Purpose
To serial monitor the vascular normalization time window of tumor antiangiogenesis treatment through intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI) and histopathological methods.
Study Type
Exploratory animal study.
Population
Sixty rat C6 glioma models were randomly and equally divided into the control groups (N = 30) and bevacizumab treatment groups (N = 30). Twenty‐five for magnetic resonance imaging (MRI) and five for electron microscope testing in each group.
Field Strength/Sequence
T1‐weighted imaging (T1WI), T2WI with a fast spin echo sequence and IVIM‐DWI with a spin‐echo echo‐planar imaging sequence at 3 T.
Assessment
IVIM‐DWI quantitative parameters (f, D, D*, and fD*) were obtained on days 0, 2, 4, 6, and 8 after bevacizumab treatment. After MRI, the microvessel density (MVD), pericyte coverage, and hypoxia‐inducible factor‐1α (HIF‐1α) were assessed. Electron microscope observation was performed at each time point.
Statistical Tests
One‐way analysis of variance and Student's t‐tests were used to compare differences within and between groups. Spearman's correlation coefficient (r) assess the correlation between IVIM and pathological parameters. The intragroup correlation coefficient was determined to assess the repeatability of each IVIM parameter.
Results
The IVIM‐DWI perfusion parameters (f and fD*) of the treated group were higher than the control group on days 2 and 4. Compared to the control group, MVD decreased on days 2 and pericyte coverage increased on days 4 in the treatment group. Electron microscopy showed that the tight junctions of the treatment group were prolonged on days 2–4. In the control group, f had the highest correlation with MVD (r = 0.689). In the treated group, f had a good correlation with pericyte coverage (r = 0.557), HIF‐1α had a moderately positive correlation with f (r = 0.480) and fD*(r = 0.447).
Data Conclusion
The vascular normalization time window of bevacizumab treatment of glioma was days 2–4 after antiangiogenesis treatment, which could be monitored noninvasively by IVIM‐DWI.
Evidence Level
2
Technical Efficacy
Stage 3</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.28012</identifier><identifier>PMID: 34873766</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>angiogenesis ; Animal models ; Bevacizumab ; Blood vessels ; Brain tumors ; Correlation coefficient ; Correlation coefficients ; diffusion‐weighted imaging ; Electron microscopes ; Electron microscopy ; Field strength ; Glioma ; Hypoxia ; intravoxel incoherent motion ; Magnetic resonance imaging ; Medical imaging ; microvessel density ; Monitoring ; Monitoring methods ; Monoclonal antibodies ; Parameters ; Perfusion ; pericyte coverage ; Population studies ; Statistical analysis ; Statistical tests ; Targeted cancer therapy ; Telemedicine ; Tight junctions ; Tumors ; Variance analysis ; Windows (intervals)</subject><ispartof>Journal of magnetic resonance imaging, 2022-08, Vol.56 (2), p.427-439</ispartof><rights>2021 International Society for Magnetic Resonance in Medicine.</rights><rights>2022 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3572-fc9eab8160c4173801ddaf90505f5ccd61ca113ef980f6704567464700394e043</citedby><cites>FETCH-LOGICAL-c3572-fc9eab8160c4173801ddaf90505f5ccd61ca113ef980f6704567464700394e043</cites><orcidid>0000-0002-8451-8979</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.28012$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.28012$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34873766$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Xu, Dan</creatorcontrib><creatorcontrib>Zhou, Jie</creatorcontrib><creatorcontrib>Wang, Shou‐Chao</creatorcontrib><creatorcontrib>Cai, Yu‐Xiang</creatorcontrib><creatorcontrib>Li, Huan</creatorcontrib><creatorcontrib>Xu, Hai‐Bo</creatorcontrib><title>Monitoring Bevacizumab‐Induced Tumor Vascular Normalization by Intravoxel Incoherent Motion Diffusion‐Weighted MRI</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>Background
Accurate monitoring of tumor blood vessel normalization progression is beneficial to accurate treatment of patients. At present, there is a lack of safe and noninvasive monitoring methods.
Purpose
To serial monitor the vascular normalization time window of tumor antiangiogenesis treatment through intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI) and histopathological methods.
Study Type
Exploratory animal study.
Population
Sixty rat C6 glioma models were randomly and equally divided into the control groups (N = 30) and bevacizumab treatment groups (N = 30). Twenty‐five for magnetic resonance imaging (MRI) and five for electron microscope testing in each group.
Field Strength/Sequence
T1‐weighted imaging (T1WI), T2WI with a fast spin echo sequence and IVIM‐DWI with a spin‐echo echo‐planar imaging sequence at 3 T.
Assessment
IVIM‐DWI quantitative parameters (f, D, D*, and fD*) were obtained on days 0, 2, 4, 6, and 8 after bevacizumab treatment. After MRI, the microvessel density (MVD), pericyte coverage, and hypoxia‐inducible factor‐1α (HIF‐1α) were assessed. Electron microscope observation was performed at each time point.
Statistical Tests
One‐way analysis of variance and Student's t‐tests were used to compare differences within and between groups. Spearman's correlation coefficient (r) assess the correlation between IVIM and pathological parameters. The intragroup correlation coefficient was determined to assess the repeatability of each IVIM parameter.
Results
The IVIM‐DWI perfusion parameters (f and fD*) of the treated group were higher than the control group on days 2 and 4. Compared to the control group, MVD decreased on days 2 and pericyte coverage increased on days 4 in the treatment group. Electron microscopy showed that the tight junctions of the treatment group were prolonged on days 2–4. In the control group, f had the highest correlation with MVD (r = 0.689). In the treated group, f had a good correlation with pericyte coverage (r = 0.557), HIF‐1α had a moderately positive correlation with f (r = 0.480) and fD*(r = 0.447).
Data Conclusion
The vascular normalization time window of bevacizumab treatment of glioma was days 2–4 after antiangiogenesis treatment, which could be monitored noninvasively by IVIM‐DWI.
Evidence Level
2
Technical Efficacy
Stage 3</description><subject>angiogenesis</subject><subject>Animal models</subject><subject>Bevacizumab</subject><subject>Blood vessels</subject><subject>Brain tumors</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>diffusion‐weighted imaging</subject><subject>Electron microscopes</subject><subject>Electron microscopy</subject><subject>Field strength</subject><subject>Glioma</subject><subject>Hypoxia</subject><subject>intravoxel incoherent motion</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>microvessel density</subject><subject>Monitoring</subject><subject>Monitoring methods</subject><subject>Monoclonal antibodies</subject><subject>Parameters</subject><subject>Perfusion</subject><subject>pericyte coverage</subject><subject>Population studies</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Targeted cancer therapy</subject><subject>Telemedicine</subject><subject>Tight junctions</subject><subject>Tumors</subject><subject>Variance analysis</subject><subject>Windows (intervals)</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kctOxCAUhonReBnd-ACmiRtjUj20Bdqld8fMaGK8LBuGgjJpi0IZHVc-gs_ok4iOunDhij_h4wvn_AitY9jBAMnuuLF6J8kBJ3NoGZMkiROS0_mQgaQxzoEtoRXnxgBQFBlZREtplrOUUbqMJkPT6s5Y3d5F-3LChX7xDR-9v77128oLWUVXvjE2uuFO-Jrb6NzYhtf6hXfatNFoGvXbzvKJeZZ1iMLcSyvbLhqar_tDrZR3IQXhrdR3910wDi_7q2hB8drJte-zh66Pj64OTuPBxUn_YG8Qi5SwJFaikHyUYwoiwywNI1YVVwUQIIoIUVEsOMapVEUOijLICGUZzRhAWmQSsrSHtmbeB2sevXRd2WgnZF3zVhrvyoQCI-ExKwK6-QcdG2_b8LtA5YyygOJAbc8oYY1zVqryweqG22mJofxso_xso_xqI8Ab30o_amT1i_6sPwB4BjzpWk7_UZVnYWkz6QcCspcs</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Li, Bo</creator><creator>Xu, Dan</creator><creator>Zhou, Jie</creator><creator>Wang, Shou‐Chao</creator><creator>Cai, Yu‐Xiang</creator><creator>Li, Huan</creator><creator>Xu, Hai‐Bo</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8451-8979</orcidid></search><sort><creationdate>202208</creationdate><title>Monitoring Bevacizumab‐Induced Tumor Vascular Normalization by Intravoxel Incoherent Motion Diffusion‐Weighted MRI</title><author>Li, Bo ; Xu, Dan ; Zhou, Jie ; Wang, Shou‐Chao ; Cai, Yu‐Xiang ; Li, Huan ; Xu, Hai‐Bo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3572-fc9eab8160c4173801ddaf90505f5ccd61ca113ef980f6704567464700394e043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>angiogenesis</topic><topic>Animal models</topic><topic>Bevacizumab</topic><topic>Blood vessels</topic><topic>Brain tumors</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>diffusion‐weighted imaging</topic><topic>Electron microscopes</topic><topic>Electron microscopy</topic><topic>Field strength</topic><topic>Glioma</topic><topic>Hypoxia</topic><topic>intravoxel incoherent motion</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>microvessel density</topic><topic>Monitoring</topic><topic>Monitoring methods</topic><topic>Monoclonal antibodies</topic><topic>Parameters</topic><topic>Perfusion</topic><topic>pericyte coverage</topic><topic>Population studies</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Targeted cancer therapy</topic><topic>Telemedicine</topic><topic>Tight junctions</topic><topic>Tumors</topic><topic>Variance analysis</topic><topic>Windows (intervals)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Xu, Dan</creatorcontrib><creatorcontrib>Zhou, Jie</creatorcontrib><creatorcontrib>Wang, Shou‐Chao</creatorcontrib><creatorcontrib>Cai, Yu‐Xiang</creatorcontrib><creatorcontrib>Li, Huan</creatorcontrib><creatorcontrib>Xu, Hai‐Bo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Bo</au><au>Xu, Dan</au><au>Zhou, Jie</au><au>Wang, Shou‐Chao</au><au>Cai, Yu‐Xiang</au><au>Li, Huan</au><au>Xu, Hai‐Bo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring Bevacizumab‐Induced Tumor Vascular Normalization by Intravoxel Incoherent Motion Diffusion‐Weighted MRI</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2022-08</date><risdate>2022</risdate><volume>56</volume><issue>2</issue><spage>427</spage><epage>439</epage><pages>427-439</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Background
Accurate monitoring of tumor blood vessel normalization progression is beneficial to accurate treatment of patients. At present, there is a lack of safe and noninvasive monitoring methods.
Purpose
To serial monitor the vascular normalization time window of tumor antiangiogenesis treatment through intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI) and histopathological methods.
Study Type
Exploratory animal study.
Population
Sixty rat C6 glioma models were randomly and equally divided into the control groups (N = 30) and bevacizumab treatment groups (N = 30). Twenty‐five for magnetic resonance imaging (MRI) and five for electron microscope testing in each group.
Field Strength/Sequence
T1‐weighted imaging (T1WI), T2WI with a fast spin echo sequence and IVIM‐DWI with a spin‐echo echo‐planar imaging sequence at 3 T.
Assessment
IVIM‐DWI quantitative parameters (f, D, D*, and fD*) were obtained on days 0, 2, 4, 6, and 8 after bevacizumab treatment. After MRI, the microvessel density (MVD), pericyte coverage, and hypoxia‐inducible factor‐1α (HIF‐1α) were assessed. Electron microscope observation was performed at each time point.
Statistical Tests
One‐way analysis of variance and Student's t‐tests were used to compare differences within and between groups. Spearman's correlation coefficient (r) assess the correlation between IVIM and pathological parameters. The intragroup correlation coefficient was determined to assess the repeatability of each IVIM parameter.
Results
The IVIM‐DWI perfusion parameters (f and fD*) of the treated group were higher than the control group on days 2 and 4. Compared to the control group, MVD decreased on days 2 and pericyte coverage increased on days 4 in the treatment group. Electron microscopy showed that the tight junctions of the treatment group were prolonged on days 2–4. In the control group, f had the highest correlation with MVD (r = 0.689). In the treated group, f had a good correlation with pericyte coverage (r = 0.557), HIF‐1α had a moderately positive correlation with f (r = 0.480) and fD*(r = 0.447).
Data Conclusion
The vascular normalization time window of bevacizumab treatment of glioma was days 2–4 after antiangiogenesis treatment, which could be monitored noninvasively by IVIM‐DWI.
Evidence Level
2
Technical Efficacy
Stage 3</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>34873766</pmid><doi>10.1002/jmri.28012</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-8451-8979</orcidid></addata></record> |
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subjects | angiogenesis Animal models Bevacizumab Blood vessels Brain tumors Correlation coefficient Correlation coefficients diffusion‐weighted imaging Electron microscopes Electron microscopy Field strength Glioma Hypoxia intravoxel incoherent motion Magnetic resonance imaging Medical imaging microvessel density Monitoring Monitoring methods Monoclonal antibodies Parameters Perfusion pericyte coverage Population studies Statistical analysis Statistical tests Targeted cancer therapy Telemedicine Tight junctions Tumors Variance analysis Windows (intervals) |
title | Monitoring Bevacizumab‐Induced Tumor Vascular Normalization by Intravoxel Incoherent Motion Diffusion‐Weighted MRI |
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