Distribution patterns of microcalcifications in suspected thyroid carcinoma: a classification method helpful for diagnosis
Purpose The aim of this study was to compare the distribution patterns of microcalcifications in thyroid cancers with benign cases. Methods In total, 358 patients having microcalcifications on ultrasonography were analysed. Microcalcifications were categorised according to the distribution patterns:...
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| Veröffentlicht in: | European radiology 2018-06, Vol.28 (6), p.2612-2619 |
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| creator | Ning, Chun-ping Ji, Qing-lian Fang, Shi-bao Wang, Hong-qiao Zhong, Yan-mi Niu, Hai-tao |
| description | Purpose
The aim of this study was to compare the distribution patterns of microcalcifications in thyroid cancers with benign cases.
Methods
In total, 358 patients having microcalcifications on ultrasonography were analysed. Microcalcifications were categorised according to the distribution patterns: (I) microcalcifications inside one (a) or more (b) suspected nodules, (II) microcalcifications not only inside but also surrounding a suspected single (a) or multiple (b) nodules, and (III) focal (a) or diffuse (b) microcalcifications in the absence of any suspected nodule. Differences in distribution patterns of microcalcifications in benign and malignant thyroid lesions were compared.
Results
We found that the distribution patterns of microcalcifications differed between malignant (
n
= 325) and benign lesions (
n
= 117) (
X
2
= 9.926,
p
< 0.01). Benign lesions were classified as type Ia (66.7%), type Ib (29.1%) or type IIIa (4.3%). The specificity of type II and type IIIb in diagnosing malignant cases was 100%. Among malignant lesions, 172 locations were classified as type Ia, 106 as type Ib, 12 as type IIa, 7 as IIb, 7 as type IIIa and 19 as type IIIb. Accompanying Hashimoto thyroiditis was most frequent in type III (51.6%).
Conclusions
Types II and IIIb are highly specific for cancer detection. Microcalcifications outside a nodule and those detected in the absence of any nodule should therefore be reviewed carefully in clinical practice.
Key Points
•
A method to classify distribution patterns of thyroid microcalcifications is presented.
•
Distribution features of microcalcifications are useful for diagnosing thyroid cancers.
•
Microcalcifications outside a suspicious nodule are highly specific for thyroid cancers.
•
Microcalcifications without suspicious nodules should also alert the physician to thyroid cancers. |
| doi_str_mv | 10.1007/s00330-017-5212-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1989570108</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1989570108</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-61a079d3a3f9fb4584988f4712ca5ad5ab40c3ce4dab5ba6be4794526c4cd72b3</originalsourceid><addsrcrecordid>eNp1kUtvFDEQhC0EIpvAD-CCLHHhMuDXrMfcUCCAFIkLnK0eP7KOZsaD23NIfj1ebYgQEqc-9FfVrSpCXnH2jjOm3yNjUrKOcd31gotOPCE7rqToOBvUU7JjRg6dNkadkXPEW8aY4Uo_J2fCSC45Nzty_ylhLWncasoLXaHWUBakOdI5uZIdTC7F5OC4RpoWihuuwdXgaT3clZw8dVBcWvIMHyhQNwHio4LOoR6yp4cwrXGbaMyF-gQ3S8aEL8izCBOGlw_zgvy8-vzj8mt3_f3Lt8uP152TWtRuz4Fp4yXIaOKo-kGZYYhKc-GgB9_DqJiTLigPYz_CfgxKG9WLvVPOazHKC_L25LuW_GsLWO2c0IVpgiXkDS03g-k1a5k19M0_6G3eytK-O1INGlqkjeInqgWEWEK0a0kzlDvLmT0WY0_F2FaMPRZjRdO8fnDexjn4R8WfJhogTgC21XITyl-n_-v6G5Bemxw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1985708093</pqid></control><display><type>article</type><title>Distribution patterns of microcalcifications in suspected thyroid carcinoma: a classification method helpful for diagnosis</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Ning, Chun-ping ; Ji, Qing-lian ; Fang, Shi-bao ; Wang, Hong-qiao ; Zhong, Yan-mi ; Niu, Hai-tao</creator><creatorcontrib>Ning, Chun-ping ; Ji, Qing-lian ; Fang, Shi-bao ; Wang, Hong-qiao ; Zhong, Yan-mi ; Niu, Hai-tao</creatorcontrib><description>Purpose
The aim of this study was to compare the distribution patterns of microcalcifications in thyroid cancers with benign cases.
Methods
In total, 358 patients having microcalcifications on ultrasonography were analysed. Microcalcifications were categorised according to the distribution patterns: (I) microcalcifications inside one (a) or more (b) suspected nodules, (II) microcalcifications not only inside but also surrounding a suspected single (a) or multiple (b) nodules, and (III) focal (a) or diffuse (b) microcalcifications in the absence of any suspected nodule. Differences in distribution patterns of microcalcifications in benign and malignant thyroid lesions were compared.
Results
We found that the distribution patterns of microcalcifications differed between malignant (
n
= 325) and benign lesions (
n
= 117) (
X
2
= 9.926,
p
< 0.01). Benign lesions were classified as type Ia (66.7%), type Ib (29.1%) or type IIIa (4.3%). The specificity of type II and type IIIb in diagnosing malignant cases was 100%. Among malignant lesions, 172 locations were classified as type Ia, 106 as type Ib, 12 as type IIa, 7 as IIb, 7 as type IIIa and 19 as type IIIb. Accompanying Hashimoto thyroiditis was most frequent in type III (51.6%).
Conclusions
Types II and IIIb are highly specific for cancer detection. Microcalcifications outside a nodule and those detected in the absence of any nodule should therefore be reviewed carefully in clinical practice.
Key Points
•
A method to classify distribution patterns of thyroid microcalcifications is presented.
•
Distribution features of microcalcifications are useful for diagnosing thyroid cancers.
•
Microcalcifications outside a suspicious nodule are highly specific for thyroid cancers.
•
Microcalcifications without suspicious nodules should also alert the physician to thyroid cancers.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-017-5212-2</identifier><identifier>PMID: 29313119</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Aged ; Analysis of Variance ; Benign ; Biopsy ; Biopsy, Fine-Needle - methods ; Calcinosis - classification ; Calcinosis - diagnostic imaging ; Calcinosis - pathology ; Diagnosis, Differential ; Diagnostic Radiology ; Female ; Head and Neck ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Lesions ; Male ; Mammography ; Medical diagnosis ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Nodules ; Physicians ; Radiology ; Retrospective Studies ; Sensitivity and Specificity ; Thyroid ; Thyroid cancer ; Thyroid carcinoma ; Thyroid gland ; Thyroid Neoplasms - classification ; Thyroid Neoplasms - diagnostic imaging ; Thyroid Neoplasms - pathology ; Thyroid Nodule - classification ; Thyroid Nodule - diagnostic imaging ; Thyroid Nodule - pathology ; Thyroiditis ; Ultrasonography ; Ultrasound ; Young Adult</subject><ispartof>European radiology, 2018-06, Vol.28 (6), p.2612-2619</ispartof><rights>European Society of Radiology 2018</rights><rights>European Radiology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-61a079d3a3f9fb4584988f4712ca5ad5ab40c3ce4dab5ba6be4794526c4cd72b3</citedby><cites>FETCH-LOGICAL-c372t-61a079d3a3f9fb4584988f4712ca5ad5ab40c3ce4dab5ba6be4794526c4cd72b3</cites><orcidid>0000-0003-1045-077X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-017-5212-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-017-5212-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29313119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ning, Chun-ping</creatorcontrib><creatorcontrib>Ji, Qing-lian</creatorcontrib><creatorcontrib>Fang, Shi-bao</creatorcontrib><creatorcontrib>Wang, Hong-qiao</creatorcontrib><creatorcontrib>Zhong, Yan-mi</creatorcontrib><creatorcontrib>Niu, Hai-tao</creatorcontrib><title>Distribution patterns of microcalcifications in suspected thyroid carcinoma: a classification method helpful for diagnosis</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Purpose
The aim of this study was to compare the distribution patterns of microcalcifications in thyroid cancers with benign cases.
Methods
In total, 358 patients having microcalcifications on ultrasonography were analysed. Microcalcifications were categorised according to the distribution patterns: (I) microcalcifications inside one (a) or more (b) suspected nodules, (II) microcalcifications not only inside but also surrounding a suspected single (a) or multiple (b) nodules, and (III) focal (a) or diffuse (b) microcalcifications in the absence of any suspected nodule. Differences in distribution patterns of microcalcifications in benign and malignant thyroid lesions were compared.
Results
We found that the distribution patterns of microcalcifications differed between malignant (
n
= 325) and benign lesions (
n
= 117) (
X
2
= 9.926,
p
< 0.01). Benign lesions were classified as type Ia (66.7%), type Ib (29.1%) or type IIIa (4.3%). The specificity of type II and type IIIb in diagnosing malignant cases was 100%. Among malignant lesions, 172 locations were classified as type Ia, 106 as type Ib, 12 as type IIa, 7 as IIb, 7 as type IIIa and 19 as type IIIb. Accompanying Hashimoto thyroiditis was most frequent in type III (51.6%).
Conclusions
Types II and IIIb are highly specific for cancer detection. Microcalcifications outside a nodule and those detected in the absence of any nodule should therefore be reviewed carefully in clinical practice.
Key Points
•
A method to classify distribution patterns of thyroid microcalcifications is presented.
•
Distribution features of microcalcifications are useful for diagnosing thyroid cancers.
•
Microcalcifications outside a suspicious nodule are highly specific for thyroid cancers.
•
Microcalcifications without suspicious nodules should also alert the physician to thyroid cancers.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis of Variance</subject><subject>Benign</subject><subject>Biopsy</subject><subject>Biopsy, Fine-Needle - methods</subject><subject>Calcinosis - classification</subject><subject>Calcinosis - diagnostic imaging</subject><subject>Calcinosis - pathology</subject><subject>Diagnosis, Differential</subject><subject>Diagnostic Radiology</subject><subject>Female</subject><subject>Head and Neck</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lesions</subject><subject>Male</subject><subject>Mammography</subject><subject>Medical diagnosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Nodules</subject><subject>Physicians</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Sensitivity and Specificity</subject><subject>Thyroid</subject><subject>Thyroid cancer</subject><subject>Thyroid carcinoma</subject><subject>Thyroid gland</subject><subject>Thyroid Neoplasms - classification</subject><subject>Thyroid Neoplasms - diagnostic imaging</subject><subject>Thyroid Neoplasms - pathology</subject><subject>Thyroid Nodule - classification</subject><subject>Thyroid Nodule - diagnostic imaging</subject><subject>Thyroid Nodule - pathology</subject><subject>Thyroiditis</subject><subject>Ultrasonography</subject><subject>Ultrasound</subject><subject>Young Adult</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kUtvFDEQhC0EIpvAD-CCLHHhMuDXrMfcUCCAFIkLnK0eP7KOZsaD23NIfj1ebYgQEqc-9FfVrSpCXnH2jjOm3yNjUrKOcd31gotOPCE7rqToOBvUU7JjRg6dNkadkXPEW8aY4Uo_J2fCSC45Nzty_ylhLWncasoLXaHWUBakOdI5uZIdTC7F5OC4RpoWihuuwdXgaT3clZw8dVBcWvIMHyhQNwHio4LOoR6yp4cwrXGbaMyF-gQ3S8aEL8izCBOGlw_zgvy8-vzj8mt3_f3Lt8uP152TWtRuz4Fp4yXIaOKo-kGZYYhKc-GgB9_DqJiTLigPYz_CfgxKG9WLvVPOazHKC_L25LuW_GsLWO2c0IVpgiXkDS03g-k1a5k19M0_6G3eytK-O1INGlqkjeInqgWEWEK0a0kzlDvLmT0WY0_F2FaMPRZjRdO8fnDexjn4R8WfJhogTgC21XITyl-n_-v6G5Bemxw</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Ning, Chun-ping</creator><creator>Ji, Qing-lian</creator><creator>Fang, Shi-bao</creator><creator>Wang, Hong-qiao</creator><creator>Zhong, Yan-mi</creator><creator>Niu, Hai-tao</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><orcidid>https://orcid.org/0000-0003-1045-077X</orcidid></search><sort><creationdate>20180601</creationdate><title>Distribution patterns of microcalcifications in suspected thyroid carcinoma: a classification method helpful for diagnosis</title><author>Ning, Chun-ping ; Ji, Qing-lian ; Fang, Shi-bao ; Wang, Hong-qiao ; Zhong, Yan-mi ; Niu, Hai-tao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-61a079d3a3f9fb4584988f4712ca5ad5ab40c3ce4dab5ba6be4794526c4cd72b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Analysis of Variance</topic><topic>Benign</topic><topic>Biopsy</topic><topic>Biopsy, Fine-Needle - methods</topic><topic>Calcinosis - classification</topic><topic>Calcinosis - diagnostic imaging</topic><topic>Calcinosis - pathology</topic><topic>Diagnosis, Differential</topic><topic>Diagnostic Radiology</topic><topic>Female</topic><topic>Head and Neck</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lesions</topic><topic>Male</topic><topic>Mammography</topic><topic>Medical diagnosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Nodules</topic><topic>Physicians</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Sensitivity and Specificity</topic><topic>Thyroid</topic><topic>Thyroid cancer</topic><topic>Thyroid carcinoma</topic><topic>Thyroid gland</topic><topic>Thyroid Neoplasms - classification</topic><topic>Thyroid Neoplasms - diagnostic imaging</topic><topic>Thyroid Neoplasms - pathology</topic><topic>Thyroid Nodule - classification</topic><topic>Thyroid Nodule - diagnostic imaging</topic><topic>Thyroid Nodule - pathology</topic><topic>Thyroiditis</topic><topic>Ultrasonography</topic><topic>Ultrasound</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ning, Chun-ping</creatorcontrib><creatorcontrib>Ji, Qing-lian</creatorcontrib><creatorcontrib>Fang, Shi-bao</creatorcontrib><creatorcontrib>Wang, Hong-qiao</creatorcontrib><creatorcontrib>Zhong, Yan-mi</creatorcontrib><creatorcontrib>Niu, Hai-tao</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>Nursing & Allied Health Database</collection><collection>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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</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>Ning, Chun-ping</au><au>Ji, Qing-lian</au><au>Fang, Shi-bao</au><au>Wang, Hong-qiao</au><au>Zhong, Yan-mi</au><au>Niu, Hai-tao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distribution patterns of microcalcifications in suspected thyroid carcinoma: a classification method helpful for diagnosis</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2018-06-01</date><risdate>2018</risdate><volume>28</volume><issue>6</issue><spage>2612</spage><epage>2619</epage><pages>2612-2619</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Purpose
The aim of this study was to compare the distribution patterns of microcalcifications in thyroid cancers with benign cases.
Methods
In total, 358 patients having microcalcifications on ultrasonography were analysed. Microcalcifications were categorised according to the distribution patterns: (I) microcalcifications inside one (a) or more (b) suspected nodules, (II) microcalcifications not only inside but also surrounding a suspected single (a) or multiple (b) nodules, and (III) focal (a) or diffuse (b) microcalcifications in the absence of any suspected nodule. Differences in distribution patterns of microcalcifications in benign and malignant thyroid lesions were compared.
Results
We found that the distribution patterns of microcalcifications differed between malignant (
n
= 325) and benign lesions (
n
= 117) (
X
2
= 9.926,
p
< 0.01). Benign lesions were classified as type Ia (66.7%), type Ib (29.1%) or type IIIa (4.3%). The specificity of type II and type IIIb in diagnosing malignant cases was 100%. Among malignant lesions, 172 locations were classified as type Ia, 106 as type Ib, 12 as type IIa, 7 as IIb, 7 as type IIIa and 19 as type IIIb. Accompanying Hashimoto thyroiditis was most frequent in type III (51.6%).
Conclusions
Types II and IIIb are highly specific for cancer detection. Microcalcifications outside a nodule and those detected in the absence of any nodule should therefore be reviewed carefully in clinical practice.
Key Points
•
A method to classify distribution patterns of thyroid microcalcifications is presented.
•
Distribution features of microcalcifications are useful for diagnosing thyroid cancers.
•
Microcalcifications outside a suspicious nodule are highly specific for thyroid cancers.
•
Microcalcifications without suspicious nodules should also alert the physician to thyroid cancers.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29313119</pmid><doi>10.1007/s00330-017-5212-2</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-1045-077X</orcidid></addata></record> |
| fulltext | fulltext |
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| ispartof | European radiology, 2018-06, Vol.28 (6), p.2612-2619 |
| issn | 0938-7994 1432-1084 |
| language | eng |
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| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Adolescent Adult Aged Analysis of Variance Benign Biopsy Biopsy, Fine-Needle - methods Calcinosis - classification Calcinosis - diagnostic imaging Calcinosis - pathology Diagnosis, Differential Diagnostic Radiology Female Head and Neck Humans Imaging Internal Medicine Interventional Radiology Lesions Male Mammography Medical diagnosis Medicine Medicine & Public Health Middle Aged Neuroradiology Nodules Physicians Radiology Retrospective Studies Sensitivity and Specificity Thyroid Thyroid cancer Thyroid carcinoma Thyroid gland Thyroid Neoplasms - classification Thyroid Neoplasms - diagnostic imaging Thyroid Neoplasms - pathology Thyroid Nodule - classification Thyroid Nodule - diagnostic imaging Thyroid Nodule - pathology Thyroiditis Ultrasonography Ultrasound Young Adult |
| title | Distribution patterns of microcalcifications in suspected thyroid carcinoma: a classification method helpful for diagnosis |
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