Detection of Breast Abnormalities on Enhanced Chest CT: Correlation with Breast Composition on Mammography
Purpose To investigate the capability of enhanced chest computed tomography (CT) for detecting breast abnormalities and to assess the influence of breast composition on this detectability. Materials and Methods From 2000 to 2013, 75 patients who underwent mammography, breast sonography, and enhanced...
Saved in:
Published in | Journal of the Korean Society of Radiology Vol. 76; no. 2; pp. 96 - 103 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
The Korean Society of Radiology
01.02.2017
대한영상의학회 |
Subjects | |
Online Access | Get full text |
ISSN | 1738-2637 2288-2928 2951-0805 |
DOI | 10.3348/jksr.2017.76.2.96 |
Cover
Abstract | Purpose To investigate the capability of enhanced chest computed tomography (CT) for detecting breast abnormalities and to assess the influence of breast composition on this detectability. Materials and Methods From 2000 to 2013, 75 patients who underwent mammography, breast sonography, and enhanced chest CT within one month and had abnormalities on sonography were included. Detection rate of breast abnormality on enhanced chest CT was compared among 4 types of breast composition by the Breast Imaging Reporting and Data System. Contribution of breast composition, size and enhancement of target lesions to detectability of enhanced chest CT was assessed using logistic regression and chi-square test. Results Of the 75 target lesions, 34 (45.3%) were detected on enhanced chest CT, corresponding with those on breast sonography; there were no significantly different detection rates among the 4 types of breast composition (p = 0.078). Breast composition [odds ratio (OR) = 1.07, p = 0.206] and enhancement (OR = 21.49, p = 0.998) had no significant effect, but size (OR = 1.23, p = 0.004) was a significant contributing factor influencing the detectability of enhanced chest CT for breast lesions. Conclusion About half of the cases (45.3%) demonstrated breast lesions on chest CT corresponding with target lesions on sonography. Breast composition defined on mammography did not affect the detectability of enhanced chest CT for breast lesions. |
---|---|
AbstractList | Purpose To investigate the capability of enhanced chest computed tomography (CT) for detecting breast abnormalities and to assess the influence of breast composition on this detectability. Materials and Methods From 2000 to 2013, 75 patients who underwent mammography, breast sonography, and enhanced chest CT within one month and had abnormalities on sonography were included. Detection rate of breast abnormality on enhanced chest CT was compared among 4 types of breast composition by the Breast Imaging Reporting and Data System. Contribution of breast composition, size and enhancement of target lesions to detectability of enhanced chest CT was assessed using logistic regression and chi-square test. Results Of the 75 target lesions, 34 (45.3%) were detected on enhanced chest CT, corresponding with those on breast sonography; there were no significantly different detection rates among the 4 types of breast composition (p = 0.078). Breast composition [odds ratio (OR) = 1.07, p = 0.206] and enhancement (OR = 21.49, p = 0.998) had no significant effect, but size (OR = 1.23, p = 0.004) was a significant contributing factor influencing the detectability of enhanced chest CT for breast lesions. Conclusion About half of the cases (45.3%) demonstrated breast lesions on chest CT corresponding with target lesions on sonography. Breast composition defined on mammography did not affect the detectability of enhanced chest CT for breast lesions. Purpose: To investigate the capability of enhanced chest computed tomography (CT) for detecting breast abnormalities and to assess the influence of breast composition on this detectability. Materials and Methods: From 2000 to 2013, 75 patients who underwent mammography, breast sonography, and enhanced chest CT within one month and had abnormalities on sonography were included. Detection rate of breast abnormality on enhanced chest CT was compared among 4 types of breast composition by the Breast Imaging Reporting and Data System. Contribution of breast composition, size and enhancement of target lesions to detectability of enhanced chest CT was assessed using logistic regression and chi-square test. Results: Of the 75 target lesions, 34 (45.3%) were detected on enhanced chest CT, corresponding with those on breast sonography; there were no significantly different detection rates among the 4 types of breast composition (p = 0.078). Breast composition [odds ratio (OR) = 1.07, p = 0.206] and enhancement (OR = 21.49, p = 0.998) had no significant effect, but size (OR = 1.23, p = 0.004) was a significant contributing factor influencing the detectability of enhanced chest CT for breast lesions. Conclusion: About half of the cases (45.3%) demonstrated breast lesions on chest CT corresponding with target lesions on sonography. Breast composition defined on mammography did not affect the detectability of enhanced chest CT for breast lesions. KCI Citation Count: 1 |
Author | Oh, Kyung Seung Park, Sekyoung Shin, Young Gyung Yun, Jong Hyouk Cho, Eun Mi Kang, Hee |
Author_xml | – sequence: 1 givenname: Eun Mi surname: Cho fullname: Cho, Eun Mi organization: Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea – sequence: 2 givenname: Hee surname: Kang fullname: Kang, Hee organization: Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea – sequence: 3 givenname: Young Gyung surname: Shin fullname: Shin, Young Gyung organization: Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea – sequence: 4 givenname: Jong Hyouk surname: Yun fullname: Yun, Jong Hyouk organization: Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea – sequence: 5 givenname: Kyung Seung surname: Oh fullname: Oh, Kyung Seung organization: Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea – sequence: 6 givenname: Sekyoung surname: Park fullname: Park, Sekyoung organization: Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea |
BackLink | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002193807$$DAccess content in National Research Foundation of Korea (NRF) |
BookMark | eNp1kctOwzAQRS1UJAr0A9hly6LBj8RjsyvhVQmEhMrachyndZvElR0J8fekKWyQWM1oZs6R5XuOJp3vLEJXBKeMZeJmu4shpZhACjylqeQnaEqpEHMqqZigKQE29JzBGZrFuMUYUwFUgpii7b3tremd7xJfJ3fB6tgni7LzodWN652NybB66Da6M7ZKio0d9sXqNil8CLbRI_np-s0vW_h276M7GrvkVbetXwe933xdotNaN9HOfuoF-nh8WBXP85e3p2WxeJkbyhif58DysmISM0ys4RkxANxqgkVJak2pzHAuAYTIS8gIlTVkeVXlEtcly7AEdoGuj94u1GpnnPLajXXt1S6oxftqqQijg58Nt8vjbeX1Vu2Da3X4GoFx4MNa6dA701jFspIyQywwqjNhiDY5r4jBtTSGVwIPLji6TPAxBlsr4_rxg_qgXaMIVoe01CEtdUhLAVdUST6Q5A_5-5L_mW_tlpnU |
CitedBy_id | crossref_primary_10_1002_acm2_13317 crossref_primary_10_3348_jksr_2018_79_6_303 |
Cites_doi | 10.3816/CBC.2007.n.022 10.1158/1940-6207.CAPR-12-0273 10.1148/radiology.196.1.7784555 10.1097/00004728-199105000-00017 10.1148/radiol.12120621 10.1016/j.crad.2009.01.005 10.3348/kjr.2011.12.1.44 10.1056/NEJMoa062790 10.1016/j.ejrad.2011.06.036 10.1148/radiol.13130733 10.1148/radiol.2333031845 10.3348/jksr.2013.68.3.229 10.7863/jum.2005.24.2.161 10.1259/bjr/58729988 10.2214/ajr.184.4.01841260 10.1093/jnci/djm062 10.1148/radiol.2251011667 10.1097/RTI.0b013e318156eb52 10.1148/radiol.10092311 10.1007/978-1-60327-492-0_15 |
ContentType | Journal Article |
DBID | AAYXX CITATION DOA ACYCR |
DOI | 10.3348/jksr.2017.76.2.96 |
DatabaseName | CrossRef DOAJ Directory of Open Access Journals Korean Citation Index |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
DeliveryMethod | fulltext_linktorsrc |
EISSN | 2288-2928 2951-0805 |
EndPage | 103 |
ExternalDocumentID | oai_kci_go_kr_ARTI_1320303 oai_doaj_org_article_34b23c1e732a48c1ac56d1c0f9cc6d80 10_3348_jksr_2017_76_2_96 |
GroupedDBID | 5-W 8JR 8XY AAYXX ABDBF ACUHS ALMA_UNASSIGNED_HOLDINGS CITATION EF. GROUPED_DOAJ PGMZT RPM M~E ACYCR |
ID | FETCH-LOGICAL-c2336-5735bd390301ec641c776ea108b1fa229405977885b74129f745dd590fb340973 |
IEDL.DBID | DOA |
ISSN | 1738-2637 |
IngestDate | Tue Nov 21 21:43:12 EST 2023 Wed Aug 27 01:07:55 EDT 2025 Tue Jul 01 03:46:46 EDT 2025 Thu Apr 24 23:09:44 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c2336-5735bd390301ec641c776ea108b1fa229405977885b74129f745dd590fb340973 |
Notes | G704-000499.2017.76.2.004 |
OpenAccessLink | https://doaj.org/article/34b23c1e732a48c1ac56d1c0f9cc6d80 |
PageCount | 8 |
ParticipantIDs | nrf_kci_oai_kci_go_kr_ARTI_1320303 doaj_primary_oai_doaj_org_article_34b23c1e732a48c1ac56d1c0f9cc6d80 crossref_citationtrail_10_3348_jksr_2017_76_2_96 crossref_primary_10_3348_jksr_2017_76_2_96 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2017-02 |
PublicationDateYYYYMMDD | 2017-02-01 |
PublicationDate_xml | – month: 02 year: 2017 text: 2017-02 |
PublicationDecade | 2010 |
PublicationTitle | Journal of the Korean Society of Radiology |
PublicationYear | 2017 |
Publisher | The Korean Society of Radiology 대한영상의학회 |
Publisher_xml | – name: The Korean Society of Radiology – name: 대한영상의학회 |
References | Salvatore (10.3348/jksr.2017.76.2.96_ref5) 2014; 270 Meller (10.3348/jksr.2017.76.2.96_ref3) 2007; 7 March (10.3348/jksr.2017.76.2.96_ref20) 1991; 15 Kolb (10.3348/jksr.2017.76.2.96_ref6) 2002; 225 Mainiero (10.3348/jksr.2017.76.2.96_ref13) 2005; 24 Prionas (10.3348/jksr.2017.76.2.96_ref22) 2010; 256 Sickles (10.3348/jksr.2017.76.2.96_ref1) 2013 Stavros (10.3348/jksr.2017.76.2.96_ref14) 1995; 196 Lin (10.3348/jksr.2017.76.2.96_ref19) 2011; 12 Moyle (10.3348/jksr.2017.76.2.96_ref17) 2010; 83 Tamimi (10.3348/jksr.2017.76.2.96_ref2) 2007; 99 Cecchini (10.3348/jksr.2017.76.2.96_ref10) 2012; 5 Graf (10.3348/jksr.2017.76.2.96_ref12) 2004; 233 Hong (10.3348/jksr.2017.76.2.96_ref15) 2005; 184 Boyd (10.3348/jksr.2017.76.2.96_ref8) 2007; 356 Hata (10.3348/jksr.2017.76.2.96_ref21) 1996; 56 Surov (10.3348/jksr.2017.76.2.96_ref18) 2012; 81 Porter (10.3348/jksr.2017.76.2.96_ref16) 2009; 64 Boyd (10.3348/jksr.2017.76.2.96_ref9) 2009; 472 Yi (10.3348/jksr.2017.76.2.96_ref4) 2008; 23 Kim (10.3348/jksr.2017.76.2.96_ref7) 2013; 68 Hooley (10.3348/jksr.2017.76.2.96_ref11) 2012; 265 |
References_xml | – volume: 7 start-page: 634 year: 2007 ident: 10.3348/jksr.2017.76.2.96_ref3 publication-title: Clin Breast Cancer doi: 10.3816/CBC.2007.n.022 – volume: 5 start-page: 1321 year: 2012 ident: 10.3348/jksr.2017.76.2.96_ref10 publication-title: Cancer Prev Res (Phila) doi: 10.1158/1940-6207.CAPR-12-0273 – volume: 196 start-page: 123 year: 1995 ident: 10.3348/jksr.2017.76.2.96_ref14 publication-title: Radiology doi: 10.1148/radiology.196.1.7784555 – volume: 15 start-page: 440 year: 1991 ident: 10.3348/jksr.2017.76.2.96_ref20 publication-title: J Comput Assist Tomogr doi: 10.1097/00004728-199105000-00017 – volume: 265 start-page: 59 year: 2012 ident: 10.3348/jksr.2017.76.2.96_ref11 publication-title: Radiology doi: 10.1148/radiol.12120621 – volume: 64 start-page: 529 year: 2009 ident: 10.3348/jksr.2017.76.2.96_ref16 publication-title: Clin Radiol doi: 10.1016/j.crad.2009.01.005 – volume: 12 start-page: 44 year: 2011 ident: 10.3348/jksr.2017.76.2.96_ref19 publication-title: Korean J Radiol doi: 10.3348/kjr.2011.12.1.44 – volume: 356 start-page: 227 year: 2007 ident: 10.3348/jksr.2017.76.2.96_ref8 publication-title: N Engl J Med doi: 10.1056/NEJMoa062790 – volume: 81 start-page: 2174 year: 2012 ident: 10.3348/jksr.2017.76.2.96_ref18 publication-title: Eur J Radiol doi: 10.1016/j.ejrad.2011.06.036 – volume: 270 start-page: 67 year: 2014 ident: 10.3348/jksr.2017.76.2.96_ref5 publication-title: Radiology doi: 10.1148/radiol.13130733 – volume: 233 start-page: 850 year: 2004 ident: 10.3348/jksr.2017.76.2.96_ref12 publication-title: Radiology doi: 10.1148/radiol.2333031845 – volume: 56 start-page: 1027 year: 1996 ident: 10.3348/jksr.2017.76.2.96_ref21 publication-title: Nihon Igaku Hoshasen Gakkai Zasshi – start-page: 123 volume-title: ACR BI-RADS atlas breast imaging reporting and data system year: 2013 ident: 10.3348/jksr.2017.76.2.96_ref1 – volume: 68 start-page: 229 year: 2013 ident: 10.3348/jksr.2017.76.2.96_ref7 publication-title: J Korean Soc Radiol doi: 10.3348/jksr.2013.68.3.229 – volume: 24 start-page: 161 year: 2005 ident: 10.3348/jksr.2017.76.2.96_ref13 publication-title: J Ultrasound Med doi: 10.7863/jum.2005.24.2.161 – volume: 83 start-page: 233 year: 2010 ident: 10.3348/jksr.2017.76.2.96_ref17 publication-title: Br J Radiol doi: 10.1259/bjr/58729988 – volume: 184 start-page: 1260 year: 2005 ident: 10.3348/jksr.2017.76.2.96_ref15 publication-title: AJR Am J Roentgenol doi: 10.2214/ajr.184.4.01841260 – volume: 99 start-page: 1178 year: 2007 ident: 10.3348/jksr.2017.76.2.96_ref2 publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djm062 – volume: 225 start-page: 165 year: 2002 ident: 10.3348/jksr.2017.76.2.96_ref6 publication-title: Radiology doi: 10.1148/radiol.2251011667 – volume: 23 start-page: 148 year: 2008 ident: 10.3348/jksr.2017.76.2.96_ref4 publication-title: J Thorac Imaging doi: 10.1097/RTI.0b013e318156eb52 – volume: 256 start-page: 714 year: 2010 ident: 10.3348/jksr.2017.76.2.96_ref22 publication-title: Radiology doi: 10.1148/radiol.10092311 – volume: 472 start-page: 343 year: 2009 ident: 10.3348/jksr.2017.76.2.96_ref9 publication-title: Methods Mol Biol doi: 10.1007/978-1-60327-492-0_15 |
SSID | ssj0002872978 ssj0002808917 |
Score | 1.9783107 |
Snippet | Purpose To investigate the capability of enhanced chest computed tomography (CT) for detecting breast abnormalities and to assess the influence of breast... Purpose: To investigate the capability of enhanced chest computed tomography (CT) for detecting breast abnormalities and to assess the influence of breast... |
SourceID | nrf doaj crossref |
SourceType | Open Website Enrichment Source Index Database |
StartPage | 96 |
SubjectTerms | breast chest mammography multidetector computed tomography ultrasound 방사선과학 |
Title | Detection of Breast Abnormalities on Enhanced Chest CT: Correlation with Breast Composition on Mammography |
URI | https://doaj.org/article/34b23c1e732a48c1ac56d1c0f9cc6d80 https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002193807 |
Volume | 76 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
ispartofPNX | 대한영상의학회지, 2017, 76(2), , pp.96-103 |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT-MwELYQXLisFgGiuwuyECeklMSOH-HWFipAghNI3Cw_l21Ruirl_zPjBNQTXDhFSjyKNR57vrHH3xByYr2uueescCGURZ1iKnSQohDc6xBCshDNYbbFnbx6qG8exeNaqS_MCevogTvFnfHaMe6rqDiztfaV9UKGypep8V4GnaP1sinXgqlZ3jIC0JiX4UrBjGaSq-5IEy-ens3mL0gFWqmhkkM2RML-NaeUufvB1bTLtOZqpj_Jjx4j0lHXtx2yEdtdMruIq5w21dJFomPMJV_RkWsRcz5nWlQKny7bp3ykTydYB4tO7s_pBOtvdBlvFHdd32VxJegztlDy1oJFdvTVe-Rhenk_uSr6QgmFZ5zLQiguXOANhjfRy7rySsloq1K7KlnGGkBlgPO0Fg4ABGuSqkUIoimT48h3xffJZrto4wGhZYgAgqzTFrCVY6rxQtiQ4zIYgsQHpHzXlPE9izgWs3g2EE2gcg0q16ByjZKGmUYOyOmHyP-OQuOzxmNU_0dDZL_OL8AmTG8T5iubGJBjGDwz9_-yPD7_Lsx8aSBGuDZ4aRwc96_v-NNvso2979K4_5DN1fI1HgJKWbkjsjUaX4ynR9kw3wDbh-QT |
linkProvider | Directory of Open Access Journals |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Detection+of+Breast+Abnormalities+on+Enhanced+Chest+CT%3A+Correlation+with+Breast+Composition+on+Mammography&rft.jtitle=Journal+of+the+Korean+Society+of+Radiology&rft.au=%EC%A1%B0%EC%9D%80%EB%AF%B8&rft.au=%EA%B0%95%ED%9D%AC&rft.au=%EC%8B%A0%EC%98%81%EA%B2%BD&rft.au=%EC%9C%A4%EC%A2%85%ED%98%81&rft.date=2017-02-01&rft.pub=%EB%8C%80%ED%95%9C%EC%98%81%EC%83%81%EC%9D%98%ED%95%99%ED%9A%8C&rft.eissn=2951-0805&rft.spage=96&rft.epage=103&rft_id=info:doi/10.3348%2Fjksr.2017.76.2.96&rft.externalDBID=n%2Fa&rft.externalDocID=oai_kci_go_kr_ARTI_1320303 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1738-2637&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1738-2637&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1738-2637&client=summon |