Diagnostic performance of shear wave elastography in the identification of malignant thyroid nodules: a meta-analysis
Objective This meta-analysis aimed to assess the performance of shear wave elastography (SWE) in the identification of malignant thyroid nodules. Methods Web of Science, Scopus, PubMed, and the references of narrative reviews were searched for relevant studies with a publication date through October...
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description | Objective
This meta-analysis aimed to assess the performance of shear wave elastography (SWE) in the identification of malignant thyroid nodules.
Methods
Web of Science, Scopus, PubMed, and the references of narrative reviews were searched for relevant studies with a publication date through October 2013. The methodological quality was assessed using QUADAS tools. Data synthesis was calculated using the bivariate mixed-effects regression model.
Results
Of the 131 studies identified, 15 (11.5 %) were included, in which SWE, point-SWE or 2D SWE, was used to evaluate 1,867 thyroid nodules in 1,525 patients. Methodological assessment revealed study quality was moderate to high. The pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve of SWE for detecting malignant thyroid nodules were 84.3 % (95 % confidence interval [CI], 76.9–89.7 %), 88.4 % (95 % CI, 84.0–91.7 %), and 93 % (95 % CI, 90–95 %), respectively. As a screening tool, positive and negative predictive values were 27.7–44.7 % and 98.1–99.1 %, respectively, calculated with a malignance prevalence of 5–10 % in thyroid nodules. A publication bias regression test revealed no significant small-study bias.
Conclusions
SWE is a highly accurate diagnostic modality for the identification of malignant thyroid nodules, with promise for integration into routine imaging protocols for thyroid nodules.
Key Points
•
Shear wave elastography (SWE) is a group of novel ultrasound-based technologies
.
•
Meta-analysis was employed to assess relevant studies of SWE of thyroid nodules
.
•
SWE had high sensitivity and specificity in identifying malignant thyroid nodules
.
•
The high negative predictive value of SWE can reduce unnecessary biopsies
. |
doi_str_mv | 10.1007/s00330-014-3320-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1586095460</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3448908791</sourcerecordid><originalsourceid>FETCH-LOGICAL-c563t-441770100983c2126c047f94c15b08dda2de2a213fa5d3d9f15d1b6864571fbe3</originalsourceid><addsrcrecordid>eNp1kU2LFDEQhoMo7uzqD_AiAS9eopWv7o43WXUVFrzoOdR00jNZupMxSbvMvzfDrCKCpxzqed9K8RDygsMbDtC_LQBSAgOumJQCmHlENlxJwTgM6jHZgJED641RF-SylDsAMFz1T8mF0JzLTg0bsn4IuIup1DDSg89TygvG0dM00bL3mOk9_vTUz1hq2mU87I80RFr3ngbnYw1TGLGGFE-BBeewixhrmx9zCo7G5NbZl3cU6eIrMow4H0soz8iTCefinz-8V-T7p4_frj-z2683X67f37JRd7IypXjfQzvVDHIUXHQjqH4yauR6C4NzKJwXKLicUDvpzMS149tu6JTu-bT18oq8Pvcecvqx-lLtEsro5xmjT2uxXA8dGK06aOirf9C7tOb23xPVdb1slbpR_EyNOZWS_WQPOSyYj5aDPTmxZye2ObEnJ9a0zMuH5nW7ePcn8VtCA8QZKG0Udz7_tfq_rb8AhbuXOw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1566735715</pqid></control><display><type>article</type><title>Diagnostic performance of shear wave elastography in the identification of malignant thyroid nodules: a meta-analysis</title><source>MEDLINE</source><source>SpringerLink (Online service)</source><creator>Lin, Peiliang ; Chen, Minqi ; Liu, Baoxian ; Wang, Siwen ; Li, Xiaoxi</creator><creatorcontrib>Lin, Peiliang ; Chen, Minqi ; Liu, Baoxian ; Wang, Siwen ; Li, Xiaoxi</creatorcontrib><description>Objective
This meta-analysis aimed to assess the performance of shear wave elastography (SWE) in the identification of malignant thyroid nodules.
Methods
Web of Science, Scopus, PubMed, and the references of narrative reviews were searched for relevant studies with a publication date through October 2013. The methodological quality was assessed using QUADAS tools. Data synthesis was calculated using the bivariate mixed-effects regression model.
Results
Of the 131 studies identified, 15 (11.5 %) were included, in which SWE, point-SWE or 2D SWE, was used to evaluate 1,867 thyroid nodules in 1,525 patients. Methodological assessment revealed study quality was moderate to high. The pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve of SWE for detecting malignant thyroid nodules were 84.3 % (95 % confidence interval [CI], 76.9–89.7 %), 88.4 % (95 % CI, 84.0–91.7 %), and 93 % (95 % CI, 90–95 %), respectively. As a screening tool, positive and negative predictive values were 27.7–44.7 % and 98.1–99.1 %, respectively, calculated with a malignance prevalence of 5–10 % in thyroid nodules. A publication bias regression test revealed no significant small-study bias.
Conclusions
SWE is a highly accurate diagnostic modality for the identification of malignant thyroid nodules, with promise for integration into routine imaging protocols for thyroid nodules.
Key Points
•
Shear wave elastography (SWE) is a group of novel ultrasound-based technologies
.
•
Meta-analysis was employed to assess relevant studies of SWE of thyroid nodules
.
•
SWE had high sensitivity and specificity in identifying malignant thyroid nodules
.
•
The high negative predictive value of SWE can reduce unnecessary biopsies
.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-014-3320-9</identifier><identifier>PMID: 25113648</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Acoustics ; Diagnosis, Differential ; Diagnostic Radiology ; Elasticity Imaging Techniques - methods ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Iodine ; Medicine ; Medicine & Public Health ; Meta-analysis ; Neuroradiology ; Radiation ; Radiology ; Reproducibility of Results ; ROC Curve ; Subject heading schemes ; Thyroid gland ; Thyroid Nodule - diagnostic imaging ; Tumors ; Ultrasonic imaging ; Ultrasound</subject><ispartof>European radiology, 2014-11, Vol.24 (11), p.2729-2738</ispartof><rights>European Society of Radiology 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c563t-441770100983c2126c047f94c15b08dda2de2a213fa5d3d9f15d1b6864571fbe3</citedby><cites>FETCH-LOGICAL-c563t-441770100983c2126c047f94c15b08dda2de2a213fa5d3d9f15d1b6864571fbe3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-014-3320-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-014-3320-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25113648$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lin, Peiliang</creatorcontrib><creatorcontrib>Chen, Minqi</creatorcontrib><creatorcontrib>Liu, Baoxian</creatorcontrib><creatorcontrib>Wang, Siwen</creatorcontrib><creatorcontrib>Li, Xiaoxi</creatorcontrib><title>Diagnostic performance of shear wave elastography in the identification of malignant thyroid nodules: a meta-analysis</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objective
This meta-analysis aimed to assess the performance of shear wave elastography (SWE) in the identification of malignant thyroid nodules.
Methods
Web of Science, Scopus, PubMed, and the references of narrative reviews were searched for relevant studies with a publication date through October 2013. The methodological quality was assessed using QUADAS tools. Data synthesis was calculated using the bivariate mixed-effects regression model.
Results
Of the 131 studies identified, 15 (11.5 %) were included, in which SWE, point-SWE or 2D SWE, was used to evaluate 1,867 thyroid nodules in 1,525 patients. Methodological assessment revealed study quality was moderate to high. The pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve of SWE for detecting malignant thyroid nodules were 84.3 % (95 % confidence interval [CI], 76.9–89.7 %), 88.4 % (95 % CI, 84.0–91.7 %), and 93 % (95 % CI, 90–95 %), respectively. As a screening tool, positive and negative predictive values were 27.7–44.7 % and 98.1–99.1 %, respectively, calculated with a malignance prevalence of 5–10 % in thyroid nodules. A publication bias regression test revealed no significant small-study bias.
Conclusions
SWE is a highly accurate diagnostic modality for the identification of malignant thyroid nodules, with promise for integration into routine imaging protocols for thyroid nodules.
Key Points
•
Shear wave elastography (SWE) is a group of novel ultrasound-based technologies
.
•
Meta-analysis was employed to assess relevant studies of SWE of thyroid nodules
.
•
SWE had high sensitivity and specificity in identifying malignant thyroid nodules
.
•
The high negative predictive value of SWE can reduce unnecessary biopsies
.</description><subject>Accuracy</subject><subject>Acoustics</subject><subject>Diagnosis, Differential</subject><subject>Diagnostic Radiology</subject><subject>Elasticity Imaging Techniques - methods</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Iodine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Meta-analysis</subject><subject>Neuroradiology</subject><subject>Radiation</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>ROC Curve</subject><subject>Subject heading schemes</subject><subject>Thyroid gland</subject><subject>Thyroid Nodule - diagnostic imaging</subject><subject>Tumors</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU2LFDEQhoMo7uzqD_AiAS9eopWv7o43WXUVFrzoOdR00jNZupMxSbvMvzfDrCKCpxzqed9K8RDygsMbDtC_LQBSAgOumJQCmHlENlxJwTgM6jHZgJED641RF-SylDsAMFz1T8mF0JzLTg0bsn4IuIup1DDSg89TygvG0dM00bL3mOk9_vTUz1hq2mU87I80RFr3ngbnYw1TGLGGFE-BBeewixhrmx9zCo7G5NbZl3cU6eIrMow4H0soz8iTCefinz-8V-T7p4_frj-z2683X67f37JRd7IypXjfQzvVDHIUXHQjqH4yauR6C4NzKJwXKLicUDvpzMS149tu6JTu-bT18oq8Pvcecvqx-lLtEsro5xmjT2uxXA8dGK06aOirf9C7tOb23xPVdb1slbpR_EyNOZWS_WQPOSyYj5aDPTmxZye2ObEnJ9a0zMuH5nW7ePcn8VtCA8QZKG0Udz7_tfq_rb8AhbuXOw</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Lin, Peiliang</creator><creator>Chen, Minqi</creator><creator>Liu, Baoxian</creator><creator>Wang, Siwen</creator><creator>Li, Xiaoxi</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20141101</creationdate><title>Diagnostic performance of shear wave elastography in the identification of malignant thyroid nodules: a meta-analysis</title><author>Lin, Peiliang ; Chen, Minqi ; Liu, Baoxian ; Wang, Siwen ; Li, Xiaoxi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c563t-441770100983c2126c047f94c15b08dda2de2a213fa5d3d9f15d1b6864571fbe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accuracy</topic><topic>Acoustics</topic><topic>Diagnosis, Differential</topic><topic>Diagnostic Radiology</topic><topic>Elasticity Imaging Techniques - methods</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Iodine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Meta-analysis</topic><topic>Neuroradiology</topic><topic>Radiation</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>ROC Curve</topic><topic>Subject heading schemes</topic><topic>Thyroid gland</topic><topic>Thyroid Nodule - diagnostic imaging</topic><topic>Tumors</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Peiliang</creatorcontrib><creatorcontrib>Chen, Minqi</creatorcontrib><creatorcontrib>Liu, Baoxian</creatorcontrib><creatorcontrib>Wang, Siwen</creatorcontrib><creatorcontrib>Li, Xiaoxi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Peiliang</au><au>Chen, Minqi</au><au>Liu, Baoxian</au><au>Wang, Siwen</au><au>Li, Xiaoxi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic performance of shear wave elastography in the identification of malignant thyroid nodules: a meta-analysis</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2014-11-01</date><risdate>2014</risdate><volume>24</volume><issue>11</issue><spage>2729</spage><epage>2738</epage><pages>2729-2738</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objective
This meta-analysis aimed to assess the performance of shear wave elastography (SWE) in the identification of malignant thyroid nodules.
Methods
Web of Science, Scopus, PubMed, and the references of narrative reviews were searched for relevant studies with a publication date through October 2013. The methodological quality was assessed using QUADAS tools. Data synthesis was calculated using the bivariate mixed-effects regression model.
Results
Of the 131 studies identified, 15 (11.5 %) were included, in which SWE, point-SWE or 2D SWE, was used to evaluate 1,867 thyroid nodules in 1,525 patients. Methodological assessment revealed study quality was moderate to high. The pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve of SWE for detecting malignant thyroid nodules were 84.3 % (95 % confidence interval [CI], 76.9–89.7 %), 88.4 % (95 % CI, 84.0–91.7 %), and 93 % (95 % CI, 90–95 %), respectively. As a screening tool, positive and negative predictive values were 27.7–44.7 % and 98.1–99.1 %, respectively, calculated with a malignance prevalence of 5–10 % in thyroid nodules. A publication bias regression test revealed no significant small-study bias.
Conclusions
SWE is a highly accurate diagnostic modality for the identification of malignant thyroid nodules, with promise for integration into routine imaging protocols for thyroid nodules.
Key Points
•
Shear wave elastography (SWE) is a group of novel ultrasound-based technologies
.
•
Meta-analysis was employed to assess relevant studies of SWE of thyroid nodules
.
•
SWE had high sensitivity and specificity in identifying malignant thyroid nodules
.
•
The high negative predictive value of SWE can reduce unnecessary biopsies
.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25113648</pmid><doi>10.1007/s00330-014-3320-9</doi><tpages>10</tpages></addata></record> |
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source | MEDLINE; SpringerLink (Online service) |
subjects | Accuracy Acoustics Diagnosis, Differential Diagnostic Radiology Elasticity Imaging Techniques - methods Humans Imaging Internal Medicine Interventional Radiology Iodine Medicine Medicine & Public Health Meta-analysis Neuroradiology Radiation Radiology Reproducibility of Results ROC Curve Subject heading schemes Thyroid gland Thyroid Nodule - diagnostic imaging Tumors Ultrasonic imaging Ultrasound |
title | Diagnostic performance of shear wave elastography in the identification of malignant thyroid nodules: a meta-analysis |
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