Assessment of Virtual Touch Tissue Imaging Quantification and the Ultrasound Thyroid Imaging Reporting and Data System in Patients With Thyroid Nodules Referred for Biopsy
Objectives To evaluate the diagnostic performance of Virtual Touch tissue imaging quantification (VTIQ; Siemens Medical Solutions, Mountain View, CA) in combination with the Thyroid Imaging Reporting and Data System (TI‐RADS) for assessing thyroid nodules referred for biopsy. Methods A total of 197...
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| Veröffentlicht in: | Journal of ultrasound in medicine 2018-03, Vol.37 (3), p.725-736 |
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| creator | Mao, Feng Xu, Hui‐Xiong Zhou, Hang Bo, Xiao‐Wan Li, Xiao‐Long Li, Dan‐Dan Liu, Bo‐Ji Zhang, Yi‐Feng Xu, Jun‐Mei Qu, Shen |
| description | Objectives
To evaluate the diagnostic performance of Virtual Touch tissue imaging quantification (VTIQ; Siemens Medical Solutions, Mountain View, CA) in combination with the Thyroid Imaging Reporting and Data System (TI‐RADS) for assessing thyroid nodules referred for biopsy.
Methods
A total of 197 surgically or cytologically proven thyroid nodules in 187 patients were included. Nodules evaluated by conventional ultrasound (US) and VTIQ examinations were classified into US TI‐RADS categories. The shear wave velocity (SWV) on VTIQ was assessed, and the cutoff value was obtained from a receiver operating characteristic curve analysis. Diagnostic performances of conventional US, VTIQ, and their combination were compared.
Results
There were 134 benign and 63 malignant nodules. The sensitivity and specificity for the US TI‐RADS were 98.4% and 20.1%, respectively. The areas under the receiver operating characteristic curves for the mean, maximum, minimum, and ratio of the SWV were 0.818, 0.805, 0.799, and 0.728. With a cutoff value of 2.90 m/s, the sensitivity and specificity of the mean SWV were 71.4% and 82.8%. By applying this value or less as a standard for downgrading TI‐RADS category 4a to category 3 lesions, the specificity significantly rose from 20.1% to 47.0% (P |
| doi_str_mv | 10.1002/jum.14413 |
| format | Article |
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To evaluate the diagnostic performance of Virtual Touch tissue imaging quantification (VTIQ; Siemens Medical Solutions, Mountain View, CA) in combination with the Thyroid Imaging Reporting and Data System (TI‐RADS) for assessing thyroid nodules referred for biopsy.
Methods
A total of 197 surgically or cytologically proven thyroid nodules in 187 patients were included. Nodules evaluated by conventional ultrasound (US) and VTIQ examinations were classified into US TI‐RADS categories. The shear wave velocity (SWV) on VTIQ was assessed, and the cutoff value was obtained from a receiver operating characteristic curve analysis. Diagnostic performances of conventional US, VTIQ, and their combination were compared.
Results
There were 134 benign and 63 malignant nodules. The sensitivity and specificity for the US TI‐RADS were 98.4% and 20.1%, respectively. The areas under the receiver operating characteristic curves for the mean, maximum, minimum, and ratio of the SWV were 0.818, 0.805, 0.799, and 0.728. With a cutoff value of 2.90 m/s, the sensitivity and specificity of the mean SWV were 71.4% and 82.8%. By applying this value or less as a standard for downgrading TI‐RADS category 4a to category 3 lesions, the specificity significantly rose from 20.1% to 47.0% (P < .001) without a loss of sensitivity.
Conclusions
The additional application of VTIQ can improve the specificity of the TI‐RADS for evaluating thyroid nodules without a loss of sensitivity.</description><identifier>ISSN: 0278-4297</identifier><identifier>EISSN: 1550-9613</identifier><identifier>DOI: 10.1002/jum.14413</identifier><identifier>PMID: 28960465</identifier><language>eng</language><publisher>England</publisher><subject>elastography ; shear wave elastography ; Thyroid Imaging Reporting and Data System ; thyroid nodule ; thyroid/parathyroid ; ultrasound ; Virtual Touch tissue imaging quantification</subject><ispartof>Journal of ultrasound in medicine, 2018-03, Vol.37 (3), p.725-736</ispartof><rights>2017 by the American Institute of Ultrasound in Medicine</rights><rights>2017 by the American Institute of Ultrasound in Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3253-e73cd01c195ae121ed31d0881d1c7cc1ad9d4447c3f73c95fd36f2f6020e98243</citedby><cites>FETCH-LOGICAL-c3253-e73cd01c195ae121ed31d0881d1c7cc1ad9d4447c3f73c95fd36f2f6020e98243</cites><orcidid>0000-0003-1204-8231</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%2Fjum.14413$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjum.14413$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28960465$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mao, Feng</creatorcontrib><creatorcontrib>Xu, Hui‐Xiong</creatorcontrib><creatorcontrib>Zhou, Hang</creatorcontrib><creatorcontrib>Bo, Xiao‐Wan</creatorcontrib><creatorcontrib>Li, Xiao‐Long</creatorcontrib><creatorcontrib>Li, Dan‐Dan</creatorcontrib><creatorcontrib>Liu, Bo‐Ji</creatorcontrib><creatorcontrib>Zhang, Yi‐Feng</creatorcontrib><creatorcontrib>Xu, Jun‐Mei</creatorcontrib><creatorcontrib>Qu, Shen</creatorcontrib><title>Assessment of Virtual Touch Tissue Imaging Quantification and the Ultrasound Thyroid Imaging Reporting and Data System in Patients With Thyroid Nodules Referred for Biopsy</title><title>Journal of ultrasound in medicine</title><addtitle>J Ultrasound Med</addtitle><description>Objectives
To evaluate the diagnostic performance of Virtual Touch tissue imaging quantification (VTIQ; Siemens Medical Solutions, Mountain View, CA) in combination with the Thyroid Imaging Reporting and Data System (TI‐RADS) for assessing thyroid nodules referred for biopsy.
Methods
A total of 197 surgically or cytologically proven thyroid nodules in 187 patients were included. Nodules evaluated by conventional ultrasound (US) and VTIQ examinations were classified into US TI‐RADS categories. The shear wave velocity (SWV) on VTIQ was assessed, and the cutoff value was obtained from a receiver operating characteristic curve analysis. Diagnostic performances of conventional US, VTIQ, and their combination were compared.
Results
There were 134 benign and 63 malignant nodules. The sensitivity and specificity for the US TI‐RADS were 98.4% and 20.1%, respectively. The areas under the receiver operating characteristic curves for the mean, maximum, minimum, and ratio of the SWV were 0.818, 0.805, 0.799, and 0.728. With a cutoff value of 2.90 m/s, the sensitivity and specificity of the mean SWV were 71.4% and 82.8%. By applying this value or less as a standard for downgrading TI‐RADS category 4a to category 3 lesions, the specificity significantly rose from 20.1% to 47.0% (P < .001) without a loss of sensitivity.
Conclusions
The additional application of VTIQ can improve the specificity of the TI‐RADS for evaluating thyroid nodules without a loss of sensitivity.</description><subject>elastography</subject><subject>shear wave elastography</subject><subject>Thyroid Imaging Reporting and Data System</subject><subject>thyroid nodule</subject><subject>thyroid/parathyroid</subject><subject>ultrasound</subject><subject>Virtual Touch tissue imaging quantification</subject><issn>0278-4297</issn><issn>1550-9613</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kctuFDEQRS0EIpPAgh9AXsKiE9vtfi1DAiEoCa8ZWLaMXc446m4PLluov4mfjCcTZsfKZencU1JdQl5xdswZEyd3aTzmUvLyCVnwqmJFV_PyKVkw0bSFFF1zQA4R7zLKeCOfkwPRdjWTdbUgf08RAXGEKVJv6Q8XYlIDXfqk13TpEBPQy1HduumWfk1qis46raLzE1WToXENdDXEoNCn_F2u5-Cd2Se-wcaHuJ228LmKin6fMcJI3US_ZE1ei_Sni-t99MabNADmqIUQwFDrA33n_AbnF-SZVQPCy8f3iKw-vF-efSyuPl9cnp1eFboUVVlAU2rDuOZdpYALDqbkhrUtN1w3WnNlOiOlbHRpM9lV1pS1FbbO14GuFbI8Im923k3wvxNg7EeHGoZBTeAT9ryTleCyFnVG3-5QHTxiANtvghtVmHvO-m03fe6mf-gms68ftenXCGZP_isjAyc74I8bYP6_qf-0ut4p7wHasZuo</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Mao, Feng</creator><creator>Xu, Hui‐Xiong</creator><creator>Zhou, Hang</creator><creator>Bo, Xiao‐Wan</creator><creator>Li, Xiao‐Long</creator><creator>Li, Dan‐Dan</creator><creator>Liu, Bo‐Ji</creator><creator>Zhang, Yi‐Feng</creator><creator>Xu, Jun‐Mei</creator><creator>Qu, Shen</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1204-8231</orcidid></search><sort><creationdate>201803</creationdate><title>Assessment of Virtual Touch Tissue Imaging Quantification and the Ultrasound Thyroid Imaging Reporting and Data System in Patients With Thyroid Nodules Referred for Biopsy</title><author>Mao, Feng ; Xu, Hui‐Xiong ; Zhou, Hang ; Bo, Xiao‐Wan ; Li, Xiao‐Long ; Li, Dan‐Dan ; Liu, Bo‐Ji ; Zhang, Yi‐Feng ; Xu, Jun‐Mei ; Qu, Shen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3253-e73cd01c195ae121ed31d0881d1c7cc1ad9d4447c3f73c95fd36f2f6020e98243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>elastography</topic><topic>shear wave elastography</topic><topic>Thyroid Imaging Reporting and Data System</topic><topic>thyroid nodule</topic><topic>thyroid/parathyroid</topic><topic>ultrasound</topic><topic>Virtual Touch tissue imaging quantification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mao, Feng</creatorcontrib><creatorcontrib>Xu, Hui‐Xiong</creatorcontrib><creatorcontrib>Zhou, Hang</creatorcontrib><creatorcontrib>Bo, Xiao‐Wan</creatorcontrib><creatorcontrib>Li, Xiao‐Long</creatorcontrib><creatorcontrib>Li, Dan‐Dan</creatorcontrib><creatorcontrib>Liu, Bo‐Ji</creatorcontrib><creatorcontrib>Zhang, Yi‐Feng</creatorcontrib><creatorcontrib>Xu, Jun‐Mei</creatorcontrib><creatorcontrib>Qu, Shen</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of ultrasound in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mao, Feng</au><au>Xu, Hui‐Xiong</au><au>Zhou, Hang</au><au>Bo, Xiao‐Wan</au><au>Li, Xiao‐Long</au><au>Li, Dan‐Dan</au><au>Liu, Bo‐Ji</au><au>Zhang, Yi‐Feng</au><au>Xu, Jun‐Mei</au><au>Qu, Shen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Virtual Touch Tissue Imaging Quantification and the Ultrasound Thyroid Imaging Reporting and Data System in Patients With Thyroid Nodules Referred for Biopsy</atitle><jtitle>Journal of ultrasound in medicine</jtitle><addtitle>J Ultrasound Med</addtitle><date>2018-03</date><risdate>2018</risdate><volume>37</volume><issue>3</issue><spage>725</spage><epage>736</epage><pages>725-736</pages><issn>0278-4297</issn><eissn>1550-9613</eissn><abstract>Objectives
To evaluate the diagnostic performance of Virtual Touch tissue imaging quantification (VTIQ; Siemens Medical Solutions, Mountain View, CA) in combination with the Thyroid Imaging Reporting and Data System (TI‐RADS) for assessing thyroid nodules referred for biopsy.
Methods
A total of 197 surgically or cytologically proven thyroid nodules in 187 patients were included. Nodules evaluated by conventional ultrasound (US) and VTIQ examinations were classified into US TI‐RADS categories. The shear wave velocity (SWV) on VTIQ was assessed, and the cutoff value was obtained from a receiver operating characteristic curve analysis. Diagnostic performances of conventional US, VTIQ, and their combination were compared.
Results
There were 134 benign and 63 malignant nodules. The sensitivity and specificity for the US TI‐RADS were 98.4% and 20.1%, respectively. The areas under the receiver operating characteristic curves for the mean, maximum, minimum, and ratio of the SWV were 0.818, 0.805, 0.799, and 0.728. With a cutoff value of 2.90 m/s, the sensitivity and specificity of the mean SWV were 71.4% and 82.8%. By applying this value or less as a standard for downgrading TI‐RADS category 4a to category 3 lesions, the specificity significantly rose from 20.1% to 47.0% (P < .001) without a loss of sensitivity.
Conclusions
The additional application of VTIQ can improve the specificity of the TI‐RADS for evaluating thyroid nodules without a loss of sensitivity.</abstract><cop>England</cop><pmid>28960465</pmid><doi>10.1002/jum.14413</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-1204-8231</orcidid></addata></record> |
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| source | Wiley Online Library All Journals |
| subjects | elastography shear wave elastography Thyroid Imaging Reporting and Data System thyroid nodule thyroid/parathyroid ultrasound Virtual Touch tissue imaging quantification |
| title | Assessment of Virtual Touch Tissue Imaging Quantification and the Ultrasound Thyroid Imaging Reporting and Data System in Patients With Thyroid Nodules Referred for Biopsy |
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