Detailed Information

Cited 12 time in webofscience Cited 12 time in scopus
Metadata Downloads

The value of chest CT for prediction of breast tumor size: comparison with pathology measurement

Full metadata record
DC Field Value Language
dc.contributor.authorAhn, Su Joa-
dc.contributor.authorKim, Young Saing-
dc.contributor.authorKim, Eun Young-
dc.contributor.authorPark, Heung Kyu-
dc.contributor.authorCho, Eun Kyung-
dc.contributor.authorKim, Yoon Kyung-
dc.contributor.authorSung, Yon Mi-
dc.contributor.authorChoi, Hye-Young-
dc.date.available2020-02-28T23:44:48Z-
dc.date.created2020-02-06-
dc.date.issued2013-06-06-
dc.identifier.issn1477-7819-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14464-
dc.description.abstractBackground: Little information is available on the use of chest computed tomography (CT) to predict breast tumor size in breast cancer, despite the fact that chest CT examinations are being increasingly used. The purpose of this study was to evaluate the value of chest CT for predicting breast tumor size using pathology measurements as reference standards. Methods: Tumor sizes (defined as greatest diameter) were retrospectively measured on the preoperative chest CT images of 285 patients with surgically proven unifocal, invasive breast carcinoma. Greatest tumor diameters as determined by chest CT and pathologic examinations were compared by linear regression and Spearman's rho correlation analysis. Concordance between CT and pathology results was defined as a diameter difference of <5 mm. Subgroup analyses were also performed with respect to tumor size (<20 mm or >= 20 mm) and histological subtype (invasive ductal carcinoma(IDC) or non-IDC). Results: CT and pathology measured diameters were found to be linearly related (size at pathology = 1.086 x CT determined tumor size - 1.141; Spearman's rho correlation coefficient = 0.84, P<0.001). Most tumors (n = 228, 80.0%) were concordant by chest CT and pathology, but 36 tumors (12.7%) were underestimated by CT (average underestimation, 11 mm; range, 6-36 mm) and 21 tumors (7.4%) were overestimated (average overestimation by CT, 10 mm; range, 6-19 mm). The concordance rate between the two sets of measurements was greater for tumor of <20 mm and for IDC (P<0.001 and P = 0.011, respectively). Conclusions: Tumor size by chest CT is well correlated with pathology determined tumor size in breast cancer patients, and the diameters of the majority of tumors by chest CT and pathology differed by <5 mm. In addition, the concordance rate was higher for breast tumors of <20 mm and for tumors of the IDC histologic subtype.-
dc.language영어-
dc.language.isoen-
dc.publisherBIOMED CENTRAL LTD-
dc.relation.isPartOfWORLD JOURNAL OF SURGICAL ONCOLOGY-
dc.subjectHELICAL CT-
dc.subjectMULTIDETECTOR CT-
dc.subjectLOCAL FAILURE-
dc.subjectCANCER-
dc.subjectSURGERY-
dc.subjectMAMMOGRAPHY-
dc.subjectCARCINOMA-
dc.subjectPROTOCOLS-
dc.subjectACCURACY-
dc.subjectEXTENT-
dc.titleThe value of chest CT for prediction of breast tumor size: comparison with pathology measurement-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000321120400001-
dc.identifier.doi10.1186/1477-7819-11-130-
dc.identifier.bibliographicCitationWORLD JOURNAL OF SURGICAL ONCOLOGY, v.11-
dc.identifier.scopusid2-s2.0-84878513351-
dc.citation.titleWORLD JOURNAL OF SURGICAL ONCOLOGY-
dc.citation.volume11-
dc.contributor.affiliatedAuthorAhn, Su Joa-
dc.contributor.affiliatedAuthorKim, Young Saing-
dc.contributor.affiliatedAuthorKim, Eun Young-
dc.contributor.affiliatedAuthorPark, Heung Kyu-
dc.contributor.affiliatedAuthorCho, Eun Kyung-
dc.contributor.affiliatedAuthorKim, Yoon Kyung-
dc.contributor.affiliatedAuthorSung, Yon Mi-
dc.contributor.affiliatedAuthorChoi, Hye-Young-
dc.type.docTypeArticle-
dc.subject.keywordAuthorBreast cancer-
dc.subject.keywordAuthorChest CT-
dc.subject.keywordAuthorTumor size-
dc.subject.keywordAuthorPathology-
dc.subject.keywordPlusHELICAL CT-
dc.subject.keywordPlusMULTIDETECTOR CT-
dc.subject.keywordPlusLOCAL FAILURE-
dc.subject.keywordPlusCANCER-
dc.subject.keywordPlusSURGERY-
dc.subject.keywordPlusMAMMOGRAPHY-
dc.subject.keywordPlusCARCINOMA-
dc.subject.keywordPlusPROTOCOLS-
dc.subject.keywordPlusACCURACY-
dc.subject.keywordPlusEXTENT-
dc.relation.journalResearchAreaOncology-
dc.relation.journalResearchAreaSurgery-
dc.relation.journalWebOfScienceCategoryOncology-
dc.relation.journalWebOfScienceCategorySurgery-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
의과대학 > 의학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, Eun Kyung photo

Cho, Eun Kyung
College of Medicine (Department of Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE