The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study
•ACR TI-RADS predicts malignant thyroid nodules with high diagnostic validity.•Combined TR4/TR5 increases sensitivity of ACR TI-RADS for malignant thyroid nodules.•The referring clinicians accept ACR TI-RADS as a valuable reporting system. To assess diagnostic validity and reproducibility of Thyroid...
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| Veröffentlicht in: | European journal of radiology 2019-08, Vol.117, p.184-192 |
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| creator | Basha, Mohammad Abd Alkhalik Alnaggar, Ahmad Abdullah Refaat, Rania El-Maghraby, Ahmed Mohamed Refaat, Mona Mohammed Abd Elhamed, Marwa E. Abdalla, Ahmed A. El-Hamid M. Aly, Sameh Abdelaziz Hanafy, Amr Shaaban Mohamed, Abd El Motaleb Afifi, Amira Hamed Mohamed Harb, Ola |
| description | •ACR TI-RADS predicts malignant thyroid nodules with high diagnostic validity.•Combined TR4/TR5 increases sensitivity of ACR TI-RADS for malignant thyroid nodules.•The referring clinicians accept ACR TI-RADS as a valuable reporting system.
To assess diagnostic validity and reproducibility of Thyroid Imaging Reporting and Data System (TI-RADS) for interpretation of thyroid nodules by thyroid ultrasonography (US).
A prospective multicentre study initially included 557 patients with clinically suspected thyroid nodules. After exclusion, a final cohort of 380 patients with 948 thyroid nodules detected by US were enrolled. Based on American College of Radiology (ACR) TI-RADS, three radiologists analysed all US examinations independently and assigned a TI-RADS category to each thyroid nodule. The final diagnosis was based on cytology which was used as reference standard for calculating diagnostic performance of TI-RADS for predicting malignant thyroid nodules. The Fleiss and weighted kappa (κ) statistics were applied to assess inter-observer agreement of morphological features and TI-RADS scoring results for thyroid nodules. Additionally, we made a simple screening among referring clinicians to assess the clinical response to application of TI-RADS.
A total of 948 thyroid nodules were evaluated; 136 (14.3%) were malignant, and 812 (85.7%) were benign. The papillary carcinoma was the most common malignant thyroid nodules (81.6%). The best cut-off value for predicting malignant thyroid nodules was > TR3. On a lesion-based analysis, the TI-RADS had a sensitivity, specificity, and an accuracy of 98.3%, 90.9%, and 92.1%, respectively when regarding those thyroid nodules classified as > TR3 for predicting malignancy. The inter-observer agreement of the TI-RADS category was good (κ = 0.636). Ninety percent of referring clinicians accept TI-RADS.
TI-RADS improves diagnostic performance of US for predicting malignant thyroid nodules with high validity and high reproducibility. |
| doi_str_mv | 10.1016/j.ejrad.2019.06.015 |
| format | Article |
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To assess diagnostic validity and reproducibility of Thyroid Imaging Reporting and Data System (TI-RADS) for interpretation of thyroid nodules by thyroid ultrasonography (US).
A prospective multicentre study initially included 557 patients with clinically suspected thyroid nodules. After exclusion, a final cohort of 380 patients with 948 thyroid nodules detected by US were enrolled. Based on American College of Radiology (ACR) TI-RADS, three radiologists analysed all US examinations independently and assigned a TI-RADS category to each thyroid nodule. The final diagnosis was based on cytology which was used as reference standard for calculating diagnostic performance of TI-RADS for predicting malignant thyroid nodules. The Fleiss and weighted kappa (κ) statistics were applied to assess inter-observer agreement of morphological features and TI-RADS scoring results for thyroid nodules. Additionally, we made a simple screening among referring clinicians to assess the clinical response to application of TI-RADS.
A total of 948 thyroid nodules were evaluated; 136 (14.3%) were malignant, and 812 (85.7%) were benign. The papillary carcinoma was the most common malignant thyroid nodules (81.6%). The best cut-off value for predicting malignant thyroid nodules was > TR3. On a lesion-based analysis, the TI-RADS had a sensitivity, specificity, and an accuracy of 98.3%, 90.9%, and 92.1%, respectively when regarding those thyroid nodules classified as > TR3 for predicting malignancy. The inter-observer agreement of the TI-RADS category was good (κ = 0.636). Ninety percent of referring clinicians accept TI-RADS.
TI-RADS improves diagnostic performance of US for predicting malignant thyroid nodules with high validity and high reproducibility.</description><identifier>ISSN: 0720-048X</identifier><identifier>EISSN: 1872-7727</identifier><identifier>DOI: 10.1016/j.ejrad.2019.06.015</identifier><identifier>PMID: 31307646</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Thyroid imaging reporting and data system ; Thyroid nodules ; Ultrasonography</subject><ispartof>European journal of radiology, 2019-08, Vol.117, p.184-192</ispartof><rights>2019 Elsevier B.V.</rights><rights>Copyright © 2019 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-4ad199bcd931489118e0d4dfcf3f8d2b78d46caae7075647d605df1df29c1c593</citedby><cites>FETCH-LOGICAL-c359t-4ad199bcd931489118e0d4dfcf3f8d2b78d46caae7075647d605df1df29c1c593</cites><orcidid>0000-0002-9075-8020</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejrad.2019.06.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31307646$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Basha, Mohammad Abd Alkhalik</creatorcontrib><creatorcontrib>Alnaggar, Ahmad Abdullah</creatorcontrib><creatorcontrib>Refaat, Rania</creatorcontrib><creatorcontrib>El-Maghraby, Ahmed Mohamed</creatorcontrib><creatorcontrib>Refaat, Mona Mohammed</creatorcontrib><creatorcontrib>Abd Elhamed, Marwa E.</creatorcontrib><creatorcontrib>Abdalla, Ahmed A. El-Hamid M.</creatorcontrib><creatorcontrib>Aly, Sameh Abdelaziz</creatorcontrib><creatorcontrib>Hanafy, Amr Shaaban</creatorcontrib><creatorcontrib>Mohamed, Abd El Motaleb</creatorcontrib><creatorcontrib>Afifi, Amira Hamed Mohamed</creatorcontrib><creatorcontrib>Harb, Ola</creatorcontrib><title>The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study</title><title>European journal of radiology</title><addtitle>Eur J Radiol</addtitle><description>•ACR TI-RADS predicts malignant thyroid nodules with high diagnostic validity.•Combined TR4/TR5 increases sensitivity of ACR TI-RADS for malignant thyroid nodules.•The referring clinicians accept ACR TI-RADS as a valuable reporting system.
To assess diagnostic validity and reproducibility of Thyroid Imaging Reporting and Data System (TI-RADS) for interpretation of thyroid nodules by thyroid ultrasonography (US).
A prospective multicentre study initially included 557 patients with clinically suspected thyroid nodules. After exclusion, a final cohort of 380 patients with 948 thyroid nodules detected by US were enrolled. Based on American College of Radiology (ACR) TI-RADS, three radiologists analysed all US examinations independently and assigned a TI-RADS category to each thyroid nodule. The final diagnosis was based on cytology which was used as reference standard for calculating diagnostic performance of TI-RADS for predicting malignant thyroid nodules. The Fleiss and weighted kappa (κ) statistics were applied to assess inter-observer agreement of morphological features and TI-RADS scoring results for thyroid nodules. Additionally, we made a simple screening among referring clinicians to assess the clinical response to application of TI-RADS.
A total of 948 thyroid nodules were evaluated; 136 (14.3%) were malignant, and 812 (85.7%) were benign. The papillary carcinoma was the most common malignant thyroid nodules (81.6%). The best cut-off value for predicting malignant thyroid nodules was > TR3. On a lesion-based analysis, the TI-RADS had a sensitivity, specificity, and an accuracy of 98.3%, 90.9%, and 92.1%, respectively when regarding those thyroid nodules classified as > TR3 for predicting malignancy. The inter-observer agreement of the TI-RADS category was good (κ = 0.636). Ninety percent of referring clinicians accept TI-RADS.
TI-RADS improves diagnostic performance of US for predicting malignant thyroid nodules with high validity and high reproducibility.</description><subject>Thyroid imaging reporting and data system</subject><subject>Thyroid nodules</subject><subject>Ultrasonography</subject><issn>0720-048X</issn><issn>1872-7727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1DAUhS0EotPCEyAhL8siwXZ-HCOxqNoClYqQYJDYWR7fm6lHmWSwnZHSl-mr4pDCsitb1nfOub6HkDec5Zzx-v0ux503kAvGVc7qnPHqGVnxRopMSiGfkxWTgmWsbH6dkNMQdoyxqlTiJTkpeMFkXdYr8rC-Q3o0nQMXJ2p6oB4PfoDRuo3r5rehpTEx8W7ygwPq9mbr-u2MDT7Ot1kEJhoaphBxT8_XN9n3i6sf76jrqTURt4N39ya6oV_MFqM-hXQYPtCvYxedxT56pCk6HNBGd0Qa4gjTK_KiNV3A14_nGfn56Xp9-SW7_fb55vLiNrNFpWJWGuBKbSyogpeN4rxBBiW0ti3aBsRGNlDW1hiUTFZ1KaFmFbQcWqEst5Uqzsj54psm-D1iiHrvgsWuMz0OY9BCVI0sa1UVCS0W1KZhg8dWH3zaip80Z3puRu_032b03IxmtU7NJNXbx4Bxs0f4r_lXRQI-LgCmbx4deh2sw94iOJ82omFwTwb8ARHYpCI</recordid><startdate>201908</startdate><enddate>201908</enddate><creator>Basha, Mohammad Abd Alkhalik</creator><creator>Alnaggar, Ahmad Abdullah</creator><creator>Refaat, Rania</creator><creator>El-Maghraby, Ahmed Mohamed</creator><creator>Refaat, Mona Mohammed</creator><creator>Abd Elhamed, Marwa E.</creator><creator>Abdalla, Ahmed A. El-Hamid M.</creator><creator>Aly, Sameh Abdelaziz</creator><creator>Hanafy, Amr Shaaban</creator><creator>Mohamed, Abd El Motaleb</creator><creator>Afifi, Amira Hamed Mohamed</creator><creator>Harb, Ola</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9075-8020</orcidid></search><sort><creationdate>201908</creationdate><title>The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study</title><author>Basha, Mohammad Abd Alkhalik ; Alnaggar, Ahmad Abdullah ; Refaat, Rania ; El-Maghraby, Ahmed Mohamed ; Refaat, Mona Mohammed ; Abd Elhamed, Marwa E. ; Abdalla, Ahmed A. El-Hamid M. ; Aly, Sameh Abdelaziz ; Hanafy, Amr Shaaban ; Mohamed, Abd El Motaleb ; Afifi, Amira Hamed Mohamed ; Harb, Ola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-4ad199bcd931489118e0d4dfcf3f8d2b78d46caae7075647d605df1df29c1c593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Thyroid imaging reporting and data system</topic><topic>Thyroid nodules</topic><topic>Ultrasonography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Basha, Mohammad Abd Alkhalik</creatorcontrib><creatorcontrib>Alnaggar, Ahmad Abdullah</creatorcontrib><creatorcontrib>Refaat, Rania</creatorcontrib><creatorcontrib>El-Maghraby, Ahmed Mohamed</creatorcontrib><creatorcontrib>Refaat, Mona Mohammed</creatorcontrib><creatorcontrib>Abd Elhamed, Marwa E.</creatorcontrib><creatorcontrib>Abdalla, Ahmed A. El-Hamid M.</creatorcontrib><creatorcontrib>Aly, Sameh Abdelaziz</creatorcontrib><creatorcontrib>Hanafy, Amr Shaaban</creatorcontrib><creatorcontrib>Mohamed, Abd El Motaleb</creatorcontrib><creatorcontrib>Afifi, Amira Hamed Mohamed</creatorcontrib><creatorcontrib>Harb, Ola</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Basha, Mohammad Abd Alkhalik</au><au>Alnaggar, Ahmad Abdullah</au><au>Refaat, Rania</au><au>El-Maghraby, Ahmed Mohamed</au><au>Refaat, Mona Mohammed</au><au>Abd Elhamed, Marwa E.</au><au>Abdalla, Ahmed A. El-Hamid M.</au><au>Aly, Sameh Abdelaziz</au><au>Hanafy, Amr Shaaban</au><au>Mohamed, Abd El Motaleb</au><au>Afifi, Amira Hamed Mohamed</au><au>Harb, Ola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study</atitle><jtitle>European journal of radiology</jtitle><addtitle>Eur J Radiol</addtitle><date>2019-08</date><risdate>2019</risdate><volume>117</volume><spage>184</spage><epage>192</epage><pages>184-192</pages><issn>0720-048X</issn><eissn>1872-7727</eissn><abstract>•ACR TI-RADS predicts malignant thyroid nodules with high diagnostic validity.•Combined TR4/TR5 increases sensitivity of ACR TI-RADS for malignant thyroid nodules.•The referring clinicians accept ACR TI-RADS as a valuable reporting system.
To assess diagnostic validity and reproducibility of Thyroid Imaging Reporting and Data System (TI-RADS) for interpretation of thyroid nodules by thyroid ultrasonography (US).
A prospective multicentre study initially included 557 patients with clinically suspected thyroid nodules. After exclusion, a final cohort of 380 patients with 948 thyroid nodules detected by US were enrolled. Based on American College of Radiology (ACR) TI-RADS, three radiologists analysed all US examinations independently and assigned a TI-RADS category to each thyroid nodule. The final diagnosis was based on cytology which was used as reference standard for calculating diagnostic performance of TI-RADS for predicting malignant thyroid nodules. The Fleiss and weighted kappa (κ) statistics were applied to assess inter-observer agreement of morphological features and TI-RADS scoring results for thyroid nodules. Additionally, we made a simple screening among referring clinicians to assess the clinical response to application of TI-RADS.
A total of 948 thyroid nodules were evaluated; 136 (14.3%) were malignant, and 812 (85.7%) were benign. The papillary carcinoma was the most common malignant thyroid nodules (81.6%). The best cut-off value for predicting malignant thyroid nodules was > TR3. On a lesion-based analysis, the TI-RADS had a sensitivity, specificity, and an accuracy of 98.3%, 90.9%, and 92.1%, respectively when regarding those thyroid nodules classified as > TR3 for predicting malignancy. The inter-observer agreement of the TI-RADS category was good (κ = 0.636). Ninety percent of referring clinicians accept TI-RADS.
TI-RADS improves diagnostic performance of US for predicting malignant thyroid nodules with high validity and high reproducibility.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>31307646</pmid><doi>10.1016/j.ejrad.2019.06.015</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9075-8020</orcidid></addata></record> |
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| source | Elsevier ScienceDirect Journals |
| subjects | Thyroid imaging reporting and data system Thyroid nodules Ultrasonography |
| title | The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study |
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