Correlation between tumor glucose metabolism and multiparametric functional MRI (IVIM and R2) metrics in cervical carcinoma: Evidence from integrated 18 F-FDG PET/MR
Multiparameter, multimodality F-FDG PET/MRI holds great potential for the diagnosis of cervical cancer based on the correlation between tumor glucose metabolism and imaging parameters. To characterize the heterogeneity of tumor glucose metabolism by evaluating the correlation between F-FDG uptake pa...
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| Veröffentlicht in: | Journal of magnetic resonance imaging 2019-06, Vol.49 (6), p.1704-1712 |
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| container_title | Journal of magnetic resonance imaging |
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| creator | Li-Ou, Zhang Hong-Zan, Sun Xiao-Xi, Bai Zhong-Wei, Chen Zai-Ming, Lu Jun, Xin Qi-Yong, Guo |
| description | Multiparameter, multimodality
F-FDG PET/MRI holds great potential for the diagnosis of cervical cancer based on the correlation between tumor glucose metabolism and imaging parameters.
To characterize the heterogeneity of tumor glucose metabolism by evaluating the correlation between
F-FDG uptake parameters and multiparametric functional MRI metrics in cervical carcinoma.
Retrospective.
Fifty-four patients with cervical carcinoma.
Hybrid PET/MR (3T), multi-b DWI, and R2* mapping.
The maximum and mean standardized uptake values (SUV
and SUV
, respectively) from PET and functional MRI metrics (D, D*, f, and R2*) were obtained. Cervical carcinoma tissues also underwent HIF-1α, VEGF, and GLUT-1 immunohistochemical staining.
Single-factor Spearman rank and Pearson correlation analysis and multiple linear regression (MLR) analysis were applied.
R2*, D, and f have different degrees of correlation (moderate, weak, moderately strong correlation, respectively) with SUV
and SUV
(r = 0.530 and 0.527, and P |
| doi_str_mv | 10.1002/jmri.26557 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2129536278</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2129536278</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1321-a7502afb5ee26e61359c0ae07afdd6783d469e7381e4f5defc88583d47be6b0d3</originalsourceid><addsrcrecordid>eNo9kctu2zAQRYkiRZO63fQDglkmBWTzYeqRXeDajgEbLYy0W4EiRwYDUXRIyUU-KP8ZOXa7msHFuXdzCPnG6JhRyidPLtgxT6XMPpArJjlPuMzTi-GnUiQsp9kl-RzjE6W0KKbyE7kUVBR0StkVeZ35ELBRnfUtVNj9RWyh650PsGt67SOCw05VvrHRgWoNuL7p7F4FNeTBaqj7Vh_bqoHNdgU3qz-rzTu45bdwYiLYFjSGg9UDpVXQtvVO3cH8YA22GqEO3g1Qh7ugOjTAclgkix9L-DV_nGy2X8jHWjURv57viPxezB9nD8n653I1u18nmgnOEpVJylVdSUSeYsqELDRVSDNVG5NmuTDTtMBM5AyntTRY6zyXxzSrMK2oESNyc9rdB__cY-xKZ6PGplEt-j6WnPFCipQPUyPy_YTq4GMMWJf7YJ0KLyWj5VFLedRSvmsZ4Ovzbl85NP_Rfx7EG2vxiZo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2129536278</pqid></control><display><type>article</type><title>Correlation between tumor glucose metabolism and multiparametric functional MRI (IVIM and R2) metrics in cervical carcinoma: Evidence from integrated 18 F-FDG PET/MR</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Wiley Free Content</source><creator>Li-Ou, Zhang ; Hong-Zan, Sun ; Xiao-Xi, Bai ; Zhong-Wei, Chen ; Zai-Ming, Lu ; Jun, Xin ; Qi-Yong, Guo</creator><creatorcontrib>Li-Ou, Zhang ; Hong-Zan, Sun ; Xiao-Xi, Bai ; Zhong-Wei, Chen ; Zai-Ming, Lu ; Jun, Xin ; Qi-Yong, Guo</creatorcontrib><description><![CDATA[Multiparameter, multimodality
F-FDG PET/MRI holds great potential for the diagnosis of cervical cancer based on the correlation between tumor glucose metabolism and imaging parameters.
To characterize the heterogeneity of tumor glucose metabolism by evaluating the correlation between
F-FDG uptake parameters and multiparametric functional MRI metrics in cervical carcinoma.
Retrospective.
Fifty-four patients with cervical carcinoma.
Hybrid PET/MR (3T), multi-b DWI, and R2* mapping.
The maximum and mean standardized uptake values (SUV
and SUV
, respectively) from PET and functional MRI metrics (D, D*, f, and R2*) were obtained. Cervical carcinoma tissues also underwent HIF-1α, VEGF, and GLUT-1 immunohistochemical staining.
Single-factor Spearman rank and Pearson correlation analysis and multiple linear regression (MLR) analysis were applied.
R2*, D, and f have different degrees of correlation (moderate, weak, moderately strong correlation, respectively) with SUV
and SUV
(r = 0.530 and 0.527, and P < 0.001 for R2*; r = -0.292 and -0.291, and P < 0.05 for D; r = 0.539 and 0.520, and P < 0.001 for f, respectively). Immunohistochemical staining showed that HIF-1α expression has a moderate degree of correlation with R2* (r = 0.491; P < 0.001); GLUT-1 expression was significantly correlated with SUV
and SUV
(r = 0.633 and 0.622; P < 0.001), and VEGF expression had a moderately strong correlation with f (r = 0.457; P = 0.001). If SUV
is the dependent variable, MLR yields an R-squared value after adjustment (adjusted R-squared) = 0.358, and F = 10.833 (P < 0.001), and the fitting linear equation is Y (SUV
) = 9.184 + 0.161X1 (R2*)+50.343X2 (f)-4.780 (D). Otherwise, MLR yields the adjusted R-squared = 0.342, and F = 10.187 (P < 0.001), and the linear regression equation is Y (SUV
) = 5.925 + 0.102X1 (R2*)+28.029X2 (f)-2.907X3 (D).
The functional MRI sequence parameters R2*, f, and D can provide information on the hypoxic condition, blood perfusion, and molecular diffusion of the tumor.
F-FDG PET/MR multi-imaging technique can be adopted to evaluate the heterogeneity of glucose metabolism in cervical carcinoma.
3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:1704-1712.]]></description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.26557</identifier><identifier>PMID: 30390401</identifier><language>eng</language><publisher>United States</publisher><ispartof>Journal of magnetic resonance imaging, 2019-06, Vol.49 (6), p.1704-1712</ispartof><rights>2018 International Society for Magnetic Resonance in Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1321-a7502afb5ee26e61359c0ae07afdd6783d469e7381e4f5defc88583d47be6b0d3</citedby><cites>FETCH-LOGICAL-c1321-a7502afb5ee26e61359c0ae07afdd6783d469e7381e4f5defc88583d47be6b0d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30390401$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li-Ou, Zhang</creatorcontrib><creatorcontrib>Hong-Zan, Sun</creatorcontrib><creatorcontrib>Xiao-Xi, Bai</creatorcontrib><creatorcontrib>Zhong-Wei, Chen</creatorcontrib><creatorcontrib>Zai-Ming, Lu</creatorcontrib><creatorcontrib>Jun, Xin</creatorcontrib><creatorcontrib>Qi-Yong, Guo</creatorcontrib><title>Correlation between tumor glucose metabolism and multiparametric functional MRI (IVIM and R2) metrics in cervical carcinoma: Evidence from integrated 18 F-FDG PET/MR</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description><![CDATA[Multiparameter, multimodality
F-FDG PET/MRI holds great potential for the diagnosis of cervical cancer based on the correlation between tumor glucose metabolism and imaging parameters.
To characterize the heterogeneity of tumor glucose metabolism by evaluating the correlation between
F-FDG uptake parameters and multiparametric functional MRI metrics in cervical carcinoma.
Retrospective.
Fifty-four patients with cervical carcinoma.
Hybrid PET/MR (3T), multi-b DWI, and R2* mapping.
The maximum and mean standardized uptake values (SUV
and SUV
, respectively) from PET and functional MRI metrics (D, D*, f, and R2*) were obtained. Cervical carcinoma tissues also underwent HIF-1α, VEGF, and GLUT-1 immunohistochemical staining.
Single-factor Spearman rank and Pearson correlation analysis and multiple linear regression (MLR) analysis were applied.
R2*, D, and f have different degrees of correlation (moderate, weak, moderately strong correlation, respectively) with SUV
and SUV
(r = 0.530 and 0.527, and P < 0.001 for R2*; r = -0.292 and -0.291, and P < 0.05 for D; r = 0.539 and 0.520, and P < 0.001 for f, respectively). Immunohistochemical staining showed that HIF-1α expression has a moderate degree of correlation with R2* (r = 0.491; P < 0.001); GLUT-1 expression was significantly correlated with SUV
and SUV
(r = 0.633 and 0.622; P < 0.001), and VEGF expression had a moderately strong correlation with f (r = 0.457; P = 0.001). If SUV
is the dependent variable, MLR yields an R-squared value after adjustment (adjusted R-squared) = 0.358, and F = 10.833 (P < 0.001), and the fitting linear equation is Y (SUV
) = 9.184 + 0.161X1 (R2*)+50.343X2 (f)-4.780 (D). Otherwise, MLR yields the adjusted R-squared = 0.342, and F = 10.187 (P < 0.001), and the linear regression equation is Y (SUV
) = 5.925 + 0.102X1 (R2*)+28.029X2 (f)-2.907X3 (D).
The functional MRI sequence parameters R2*, f, and D can provide information on the hypoxic condition, blood perfusion, and molecular diffusion of the tumor.
F-FDG PET/MR multi-imaging technique can be adopted to evaluate the heterogeneity of glucose metabolism in cervical carcinoma.
3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:1704-1712.]]></description><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNo9kctu2zAQRYkiRZO63fQDglkmBWTzYeqRXeDajgEbLYy0W4EiRwYDUXRIyUU-KP8ZOXa7msHFuXdzCPnG6JhRyidPLtgxT6XMPpArJjlPuMzTi-GnUiQsp9kl-RzjE6W0KKbyE7kUVBR0StkVeZ35ELBRnfUtVNj9RWyh650PsGt67SOCw05VvrHRgWoNuL7p7F4FNeTBaqj7Vh_bqoHNdgU3qz-rzTu45bdwYiLYFjSGg9UDpVXQtvVO3cH8YA22GqEO3g1Qh7ugOjTAclgkix9L-DV_nGy2X8jHWjURv57viPxezB9nD8n653I1u18nmgnOEpVJylVdSUSeYsqELDRVSDNVG5NmuTDTtMBM5AyntTRY6zyXxzSrMK2oESNyc9rdB__cY-xKZ6PGplEt-j6WnPFCipQPUyPy_YTq4GMMWJf7YJ0KLyWj5VFLedRSvmsZ4Ovzbl85NP_Rfx7EG2vxiZo</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Li-Ou, Zhang</creator><creator>Hong-Zan, Sun</creator><creator>Xiao-Xi, Bai</creator><creator>Zhong-Wei, Chen</creator><creator>Zai-Ming, Lu</creator><creator>Jun, Xin</creator><creator>Qi-Yong, Guo</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201906</creationdate><title>Correlation between tumor glucose metabolism and multiparametric functional MRI (IVIM and R2) metrics in cervical carcinoma: Evidence from integrated 18 F-FDG PET/MR</title><author>Li-Ou, Zhang ; Hong-Zan, Sun ; Xiao-Xi, Bai ; Zhong-Wei, Chen ; Zai-Ming, Lu ; Jun, Xin ; Qi-Yong, Guo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1321-a7502afb5ee26e61359c0ae07afdd6783d469e7381e4f5defc88583d47be6b0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li-Ou, Zhang</creatorcontrib><creatorcontrib>Hong-Zan, Sun</creatorcontrib><creatorcontrib>Xiao-Xi, Bai</creatorcontrib><creatorcontrib>Zhong-Wei, Chen</creatorcontrib><creatorcontrib>Zai-Ming, Lu</creatorcontrib><creatorcontrib>Jun, Xin</creatorcontrib><creatorcontrib>Qi-Yong, Guo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</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-Ou, Zhang</au><au>Hong-Zan, Sun</au><au>Xiao-Xi, Bai</au><au>Zhong-Wei, Chen</au><au>Zai-Ming, Lu</au><au>Jun, Xin</au><au>Qi-Yong, Guo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation between tumor glucose metabolism and multiparametric functional MRI (IVIM and R2) metrics in cervical carcinoma: Evidence from integrated 18 F-FDG PET/MR</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2019-06</date><risdate>2019</risdate><volume>49</volume><issue>6</issue><spage>1704</spage><epage>1712</epage><pages>1704-1712</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract><![CDATA[Multiparameter, multimodality
F-FDG PET/MRI holds great potential for the diagnosis of cervical cancer based on the correlation between tumor glucose metabolism and imaging parameters.
To characterize the heterogeneity of tumor glucose metabolism by evaluating the correlation between
F-FDG uptake parameters and multiparametric functional MRI metrics in cervical carcinoma.
Retrospective.
Fifty-four patients with cervical carcinoma.
Hybrid PET/MR (3T), multi-b DWI, and R2* mapping.
The maximum and mean standardized uptake values (SUV
and SUV
, respectively) from PET and functional MRI metrics (D, D*, f, and R2*) were obtained. Cervical carcinoma tissues also underwent HIF-1α, VEGF, and GLUT-1 immunohistochemical staining.
Single-factor Spearman rank and Pearson correlation analysis and multiple linear regression (MLR) analysis were applied.
R2*, D, and f have different degrees of correlation (moderate, weak, moderately strong correlation, respectively) with SUV
and SUV
(r = 0.530 and 0.527, and P < 0.001 for R2*; r = -0.292 and -0.291, and P < 0.05 for D; r = 0.539 and 0.520, and P < 0.001 for f, respectively). Immunohistochemical staining showed that HIF-1α expression has a moderate degree of correlation with R2* (r = 0.491; P < 0.001); GLUT-1 expression was significantly correlated with SUV
and SUV
(r = 0.633 and 0.622; P < 0.001), and VEGF expression had a moderately strong correlation with f (r = 0.457; P = 0.001). If SUV
is the dependent variable, MLR yields an R-squared value after adjustment (adjusted R-squared) = 0.358, and F = 10.833 (P < 0.001), and the fitting linear equation is Y (SUV
) = 9.184 + 0.161X1 (R2*)+50.343X2 (f)-4.780 (D). Otherwise, MLR yields the adjusted R-squared = 0.342, and F = 10.187 (P < 0.001), and the linear regression equation is Y (SUV
) = 5.925 + 0.102X1 (R2*)+28.029X2 (f)-2.907X3 (D).
The functional MRI sequence parameters R2*, f, and D can provide information on the hypoxic condition, blood perfusion, and molecular diffusion of the tumor.
F-FDG PET/MR multi-imaging technique can be adopted to evaluate the heterogeneity of glucose metabolism in cervical carcinoma.
3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:1704-1712.]]></abstract><cop>United States</cop><pmid>30390401</pmid><doi>10.1002/jmri.26557</doi><tpages>9</tpages></addata></record> |
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| title | Correlation between tumor glucose metabolism and multiparametric functional MRI (IVIM and R2) metrics in cervical carcinoma: Evidence from integrated 18 F-FDG PET/MR |
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