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Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging
Background Multiparametric intravoxel incoherent motion (IVIM) provides diffusion and perfusion information for the treatment prediction of cancer. However, the superiority of IVIM over dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) in locally advanced hypopharyngeal carcinoma (LAH...
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| Published in: | Journal of magnetic resonance imaging 2021-07, Vol.54 (1), p.91-100 |
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| container_title | Journal of magnetic resonance imaging |
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| creator | Guo, Baoliang Ouyang, Fusheng Ouyang, Lizhu Huang, Xiyi Guo, Tiandi Lin, Shaojia Liu, Ziwei Zhang, Rong Yang, Shao‐min Chen, Haixiong Hu, Qiu‐gen |
| description | Background
Multiparametric intravoxel incoherent motion (IVIM) provides diffusion and perfusion information for the treatment prediction of cancer. However, the superiority of IVIM over dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) in locally advanced hypopharyngeal carcinoma (LAHC) remains unclear.
Purpose
To compare the diagnostic performance of IVIM and model‐free DCE in assessing induction chemotherapy (IC) response in patients with LAHC.
Study Type
Prospective.
Population
Forty‐two patients with LAHC.
Field Strength/Sequence
3.0 T MRI, including IVIM (12 b values, 0–800 seconds/mm2) with a single‐shot echo planar imaging sequence and DCE‐MRI with a volumetric interpolated breath‐hold examination sequence. IVIM MRI is a commercially available sequence and software for calculation and analysis from vendor.
Assessment
The IVIM‐derived parameters (diffusion coefficient [D], pseudodiffusion coefficient [D*], and perfusion fraction [f]) and DCE‐derived model‐free parameters (Wash‐in, time to maximum enhancement [Tmax], maximum enhancement [Emax], area under enhancement curve [AUC] over 60 seconds [AUC60], and whole area under enhancement curve [AUCw]) were measured. At the end of IC, patients with complete or partial response were classified as responders according to the Response Evaluation Criteria in Solid Tumors.
Statistical Tests
The differences of parameters between responders and nonresponders were assessed using Mann–Whitney U tests. The performance of parameters for predicting IC response was evaluated by the receiver operating characteristic curves.
Results
Twenty‐three (54.8%) patients were classified as responders. Compared with nonresponders, the perfusion parameters D*, f, f × D*, and AUCw were significantly higher whereas Wash‐in was lower in responders (all P‐values |
| doi_str_mv | 10.1002/jmri.27537 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2489253414</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2489253414</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3577-b64562ffe153af0bc0c91d725de4adf118212a6209f1939f884be9400b4a88393</originalsourceid><addsrcrecordid>eNp9kstu1DAUhiMEoqWw4QGQJTYIKcWXOInZVaGlQTMCVSCWkeOczHiU2KmdFLLjEXhGtrwETlNYIMHKF33n86_jE0VPCT4lGNNXh97pU5pxlt2LjgmnNKY8T--HPeYsJjnOjqJH3h8wxkIk_GF0xBjPUkL5cfSzNKOTN_YrdKg0yu7BgRnR1o7aGrSVOwOjVugKvDXSKEBlL3fa7FBrHfrgoNHqlrRtKG-m9VDsobdjUMlhXkoHazwgbdDGKtl1MzprbhZZgy7nwQ576WazA9mhQjqlje3la1TYfpBOh2fRZz3uQ6IGuh_fvl84APRmNrIPsQq7pPdjuD83-1X578yPowet7Dw8uVtPok8X5x-Ly3jz_m1ZnG1iFdqSxXWa8JS2LRDOZItrhZUgTUZ5A4lsWkJySqhMKRYtEUy0eZ7UIBKM60TmORPsJHqxegdnryfwY9Vrr6DrpAE7-YomuaCcJSQJ6PO_0IOdnAnpqkCInKQkZYF6uVLKWe8dtNXgdB-6VhFcLSNQLSNQ3Y5AgJ_dKae6h-YP-vvPA0BW4IvuYP6Pqnq3vSpX6S_7KcLi</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2539816163</pqid></control><display><type>article</type><title>Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging</title><source>Wiley</source><creator>Guo, Baoliang ; Ouyang, Fusheng ; Ouyang, Lizhu ; Huang, Xiyi ; Guo, Tiandi ; Lin, Shaojia ; Liu, Ziwei ; Zhang, Rong ; Yang, Shao‐min ; Chen, Haixiong ; Hu, Qiu‐gen</creator><creatorcontrib>Guo, Baoliang ; Ouyang, Fusheng ; Ouyang, Lizhu ; Huang, Xiyi ; Guo, Tiandi ; Lin, Shaojia ; Liu, Ziwei ; Zhang, Rong ; Yang, Shao‐min ; Chen, Haixiong ; Hu, Qiu‐gen</creatorcontrib><description>Background
Multiparametric intravoxel incoherent motion (IVIM) provides diffusion and perfusion information for the treatment prediction of cancer. However, the superiority of IVIM over dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) in locally advanced hypopharyngeal carcinoma (LAHC) remains unclear.
Purpose
To compare the diagnostic performance of IVIM and model‐free DCE in assessing induction chemotherapy (IC) response in patients with LAHC.
Study Type
Prospective.
Population
Forty‐two patients with LAHC.
Field Strength/Sequence
3.0 T MRI, including IVIM (12 b values, 0–800 seconds/mm2) with a single‐shot echo planar imaging sequence and DCE‐MRI with a volumetric interpolated breath‐hold examination sequence. IVIM MRI is a commercially available sequence and software for calculation and analysis from vendor.
Assessment
The IVIM‐derived parameters (diffusion coefficient [D], pseudodiffusion coefficient [D*], and perfusion fraction [f]) and DCE‐derived model‐free parameters (Wash‐in, time to maximum enhancement [Tmax], maximum enhancement [Emax], area under enhancement curve [AUC] over 60 seconds [AUC60], and whole area under enhancement curve [AUCw]) were measured. At the end of IC, patients with complete or partial response were classified as responders according to the Response Evaluation Criteria in Solid Tumors.
Statistical Tests
The differences of parameters between responders and nonresponders were assessed using Mann–Whitney U tests. The performance of parameters for predicting IC response was evaluated by the receiver operating characteristic curves.
Results
Twenty‐three (54.8%) patients were classified as responders. Compared with nonresponders, the perfusion parameters D*, f, f × D*, and AUCw were significantly higher whereas Wash‐in was lower in responders (all P‐values <0.05). The f × D* outperformed other parameters, with an AUC of 0.84 (95% confidence interval [CI]: 0.69–0.93), sensitivity of 79.0% (95% CI: 54.4–93.9), and specificity of 82.6% (95% CI: 61.2–95.0).
Data Conclusion
The IVIM MRI technique may noninvasively help predict the IC response before treatment in patients with LAHC.
Level of Evidence
2
Technical Efficacy
Stage 2</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.27537</identifier><identifier>PMID: 33576125</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Cancer ; Chemotherapy ; Confidence intervals ; Diffusion coefficient ; dynamic contrast‐enhanced MR imaging ; Field strength ; hypopharyngeal carcinoma ; induction chemotherapy ; intra‐voxel incoherent motion ; Magnetic induction ; Magnetic resonance imaging ; Mathematical models ; Medical imaging ; Parameters ; Perfusion ; Population studies ; Resonance ; Solid tumors ; Statistical analysis ; Statistical tests ; Throat cancer ; treatment response ; Tumors</subject><ispartof>Journal of magnetic resonance imaging, 2021-07, Vol.54 (1), p.91-100</ispartof><rights>2021 International Society for Magnetic Resonance in Medicine</rights><rights>2021 International Society for Magnetic Resonance in Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3577-b64562ffe153af0bc0c91d725de4adf118212a6209f1939f884be9400b4a88393</citedby><cites>FETCH-LOGICAL-c3577-b64562ffe153af0bc0c91d725de4adf118212a6209f1939f884be9400b4a88393</cites><orcidid>0000-0003-1099-0098</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27900,27901</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33576125$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Baoliang</creatorcontrib><creatorcontrib>Ouyang, Fusheng</creatorcontrib><creatorcontrib>Ouyang, Lizhu</creatorcontrib><creatorcontrib>Huang, Xiyi</creatorcontrib><creatorcontrib>Guo, Tiandi</creatorcontrib><creatorcontrib>Lin, Shaojia</creatorcontrib><creatorcontrib>Liu, Ziwei</creatorcontrib><creatorcontrib>Zhang, Rong</creatorcontrib><creatorcontrib>Yang, Shao‐min</creatorcontrib><creatorcontrib>Chen, Haixiong</creatorcontrib><creatorcontrib>Hu, Qiu‐gen</creatorcontrib><title>Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>Background
Multiparametric intravoxel incoherent motion (IVIM) provides diffusion and perfusion information for the treatment prediction of cancer. However, the superiority of IVIM over dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) in locally advanced hypopharyngeal carcinoma (LAHC) remains unclear.
Purpose
To compare the diagnostic performance of IVIM and model‐free DCE in assessing induction chemotherapy (IC) response in patients with LAHC.
Study Type
Prospective.
Population
Forty‐two patients with LAHC.
Field Strength/Sequence
3.0 T MRI, including IVIM (12 b values, 0–800 seconds/mm2) with a single‐shot echo planar imaging sequence and DCE‐MRI with a volumetric interpolated breath‐hold examination sequence. IVIM MRI is a commercially available sequence and software for calculation and analysis from vendor.
Assessment
The IVIM‐derived parameters (diffusion coefficient [D], pseudodiffusion coefficient [D*], and perfusion fraction [f]) and DCE‐derived model‐free parameters (Wash‐in, time to maximum enhancement [Tmax], maximum enhancement [Emax], area under enhancement curve [AUC] over 60 seconds [AUC60], and whole area under enhancement curve [AUCw]) were measured. At the end of IC, patients with complete or partial response were classified as responders according to the Response Evaluation Criteria in Solid Tumors.
Statistical Tests
The differences of parameters between responders and nonresponders were assessed using Mann–Whitney U tests. The performance of parameters for predicting IC response was evaluated by the receiver operating characteristic curves.
Results
Twenty‐three (54.8%) patients were classified as responders. Compared with nonresponders, the perfusion parameters D*, f, f × D*, and AUCw were significantly higher whereas Wash‐in was lower in responders (all P‐values <0.05). The f × D* outperformed other parameters, with an AUC of 0.84 (95% confidence interval [CI]: 0.69–0.93), sensitivity of 79.0% (95% CI: 54.4–93.9), and specificity of 82.6% (95% CI: 61.2–95.0).
Data Conclusion
The IVIM MRI technique may noninvasively help predict the IC response before treatment in patients with LAHC.
Level of Evidence
2
Technical Efficacy
Stage 2</description><subject>Cancer</subject><subject>Chemotherapy</subject><subject>Confidence intervals</subject><subject>Diffusion coefficient</subject><subject>dynamic contrast‐enhanced MR imaging</subject><subject>Field strength</subject><subject>hypopharyngeal carcinoma</subject><subject>induction chemotherapy</subject><subject>intra‐voxel incoherent motion</subject><subject>Magnetic induction</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical models</subject><subject>Medical imaging</subject><subject>Parameters</subject><subject>Perfusion</subject><subject>Population studies</subject><subject>Resonance</subject><subject>Solid tumors</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Throat cancer</subject><subject>treatment response</subject><subject>Tumors</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kstu1DAUhiMEoqWw4QGQJTYIKcWXOInZVaGlQTMCVSCWkeOczHiU2KmdFLLjEXhGtrwETlNYIMHKF33n86_jE0VPCT4lGNNXh97pU5pxlt2LjgmnNKY8T--HPeYsJjnOjqJH3h8wxkIk_GF0xBjPUkL5cfSzNKOTN_YrdKg0yu7BgRnR1o7aGrSVOwOjVugKvDXSKEBlL3fa7FBrHfrgoNHqlrRtKG-m9VDsobdjUMlhXkoHazwgbdDGKtl1MzprbhZZgy7nwQ576WazA9mhQjqlje3la1TYfpBOh2fRZz3uQ6IGuh_fvl84APRmNrIPsQq7pPdjuD83-1X578yPowet7Dw8uVtPok8X5x-Ly3jz_m1ZnG1iFdqSxXWa8JS2LRDOZItrhZUgTUZ5A4lsWkJySqhMKRYtEUy0eZ7UIBKM60TmORPsJHqxegdnryfwY9Vrr6DrpAE7-YomuaCcJSQJ6PO_0IOdnAnpqkCInKQkZYF6uVLKWe8dtNXgdB-6VhFcLSNQLSNQ3Y5AgJ_dKae6h-YP-vvPA0BW4IvuYP6Pqnq3vSpX6S_7KcLi</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Guo, Baoliang</creator><creator>Ouyang, Fusheng</creator><creator>Ouyang, Lizhu</creator><creator>Huang, Xiyi</creator><creator>Guo, Tiandi</creator><creator>Lin, Shaojia</creator><creator>Liu, Ziwei</creator><creator>Zhang, Rong</creator><creator>Yang, Shao‐min</creator><creator>Chen, Haixiong</creator><creator>Hu, Qiu‐gen</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/0000-0003-1099-0098</orcidid></search><sort><creationdate>202107</creationdate><title>Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging</title><author>Guo, Baoliang ; Ouyang, Fusheng ; Ouyang, Lizhu ; Huang, Xiyi ; Guo, Tiandi ; Lin, Shaojia ; Liu, Ziwei ; Zhang, Rong ; Yang, Shao‐min ; Chen, Haixiong ; Hu, Qiu‐gen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3577-b64562ffe153af0bc0c91d725de4adf118212a6209f1939f884be9400b4a88393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cancer</topic><topic>Chemotherapy</topic><topic>Confidence intervals</topic><topic>Diffusion coefficient</topic><topic>dynamic contrast‐enhanced MR imaging</topic><topic>Field strength</topic><topic>hypopharyngeal carcinoma</topic><topic>induction chemotherapy</topic><topic>intra‐voxel incoherent motion</topic><topic>Magnetic induction</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical models</topic><topic>Medical imaging</topic><topic>Parameters</topic><topic>Perfusion</topic><topic>Population studies</topic><topic>Resonance</topic><topic>Solid tumors</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Throat cancer</topic><topic>treatment response</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Baoliang</creatorcontrib><creatorcontrib>Ouyang, Fusheng</creatorcontrib><creatorcontrib>Ouyang, Lizhu</creatorcontrib><creatorcontrib>Huang, Xiyi</creatorcontrib><creatorcontrib>Guo, Tiandi</creatorcontrib><creatorcontrib>Lin, Shaojia</creatorcontrib><creatorcontrib>Liu, Ziwei</creatorcontrib><creatorcontrib>Zhang, Rong</creatorcontrib><creatorcontrib>Yang, Shao‐min</creatorcontrib><creatorcontrib>Chen, Haixiong</creatorcontrib><creatorcontrib>Hu, Qiu‐gen</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>Guo, Baoliang</au><au>Ouyang, Fusheng</au><au>Ouyang, Lizhu</au><au>Huang, Xiyi</au><au>Guo, Tiandi</au><au>Lin, Shaojia</au><au>Liu, Ziwei</au><au>Zhang, Rong</au><au>Yang, Shao‐min</au><au>Chen, Haixiong</au><au>Hu, Qiu‐gen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2021-07</date><risdate>2021</risdate><volume>54</volume><issue>1</issue><spage>91</spage><epage>100</epage><pages>91-100</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Background
Multiparametric intravoxel incoherent motion (IVIM) provides diffusion and perfusion information for the treatment prediction of cancer. However, the superiority of IVIM over dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) in locally advanced hypopharyngeal carcinoma (LAHC) remains unclear.
Purpose
To compare the diagnostic performance of IVIM and model‐free DCE in assessing induction chemotherapy (IC) response in patients with LAHC.
Study Type
Prospective.
Population
Forty‐two patients with LAHC.
Field Strength/Sequence
3.0 T MRI, including IVIM (12 b values, 0–800 seconds/mm2) with a single‐shot echo planar imaging sequence and DCE‐MRI with a volumetric interpolated breath‐hold examination sequence. IVIM MRI is a commercially available sequence and software for calculation and analysis from vendor.
Assessment
The IVIM‐derived parameters (diffusion coefficient [D], pseudodiffusion coefficient [D*], and perfusion fraction [f]) and DCE‐derived model‐free parameters (Wash‐in, time to maximum enhancement [Tmax], maximum enhancement [Emax], area under enhancement curve [AUC] over 60 seconds [AUC60], and whole area under enhancement curve [AUCw]) were measured. At the end of IC, patients with complete or partial response were classified as responders according to the Response Evaluation Criteria in Solid Tumors.
Statistical Tests
The differences of parameters between responders and nonresponders were assessed using Mann–Whitney U tests. The performance of parameters for predicting IC response was evaluated by the receiver operating characteristic curves.
Results
Twenty‐three (54.8%) patients were classified as responders. Compared with nonresponders, the perfusion parameters D*, f, f × D*, and AUCw were significantly higher whereas Wash‐in was lower in responders (all P‐values <0.05). The f × D* outperformed other parameters, with an AUC of 0.84 (95% confidence interval [CI]: 0.69–0.93), sensitivity of 79.0% (95% CI: 54.4–93.9), and specificity of 82.6% (95% CI: 61.2–95.0).
Data Conclusion
The IVIM MRI technique may noninvasively help predict the IC response before treatment in patients with LAHC.
Level of Evidence
2
Technical Efficacy
Stage 2</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>33576125</pmid><doi>10.1002/jmri.27537</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1099-0098</orcidid></addata></record> |
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| ispartof | Journal of magnetic resonance imaging, 2021-07, Vol.54 (1), p.91-100 |
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| source | Wiley |
| subjects | Cancer Chemotherapy Confidence intervals Diffusion coefficient dynamic contrast‐enhanced MR imaging Field strength hypopharyngeal carcinoma induction chemotherapy intra‐voxel incoherent motion Magnetic induction Magnetic resonance imaging Mathematical models Medical imaging Parameters Perfusion Population studies Resonance Solid tumors Statistical analysis Statistical tests Throat cancer treatment response Tumors |
| title | Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging |
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