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Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis
DC Field | Value | Language |
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dc.contributor.author | 김은경 | - |
dc.contributor.author | 윤정현 | - |
dc.date.accessioned | 2017-11-02T08:33:41Z | - |
dc.date.available | 2017-11-02T08:33:41Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 2288-5919 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/154609 | - |
dc.description.abstract | PURPOSE: The aim of this study was to evaluate and compare the diagnostic performance of grayscale ultrasonography (US), US elastography, and US computer-aided diagnosis (US-CAD) in the differential diagnosis of breast masses. METHODS: A total of 193 breast masses in 175 consecutive women (mean age, 46.4 years) from June to August 2015 were included. US and elastography images were obtained and recorded. A US-CAD system was applied to the grayscale sonograms, which were automatically analyzed and visualized in order to generate a final assessment. The final assessments of breast masses were based on the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) categories, while elasticity scores were assigned using a 5-point scoring system. The diagnostic performance of grayscale US, elastography, and US-CAD was calculated and compared. RESULTS: Of the 193 breast masses, 120 (62.2%) were benign and 73 (37.8%) were malignant. Breast masses had significantly higher rates of malignancy in BI-RADS categories 4c and 5, elastography patterns 4 and 5, and when the US-CAD assessment was possibly malignant (all P<0.001). Elastography had higher specificity (40.8%, P=0.042) than grayscale US. US-CAD showed the highest specificity (67.5%), positive predictive value (PPV) (61.4%), accuracy (74.1%), and area under the curve (AUC) (0.762, all P<0.05) among the three diagnostic tools. CONCLUSION: US-CAD had higher values for specificity, PPV, accuracy, and AUC than grayscale US or elastography. Computer-based analysis based on the morphologic features of US may be very useful in improving the diagnostic performance of breast US. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Korean Society of Ultrasound in Medicine | - |
dc.relation.isPartOf | ULTRASONOGRAPHY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis | - |
dc.type | Article | - |
dc.publisher.location | Korea (South) | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Radiology | - |
dc.contributor.googleauthor | Si Eun Lee | - |
dc.contributor.googleauthor | Ji Eun Moon | - |
dc.contributor.googleauthor | Yun Ho Rho | - |
dc.contributor.googleauthor | Eun-Kyung Kim | - |
dc.contributor.googleauthor | Jung Hyun Yoon | - |
dc.identifier.doi | 10.14366/usg.16033 | - |
dc.contributor.localId | A02595 | - |
dc.contributor.localId | A00801 | - |
dc.contributor.localId | A05611 | - |
dc.relation.journalcode | J02768 | - |
dc.identifier.eissn | 2288-5943 | - |
dc.identifier.pmid | 27764908 | - |
dc.subject.keyword | BI-RADS | - |
dc.subject.keyword | Breast | - |
dc.subject.keyword | Diagnosis, computer-assisted | - |
dc.subject.keyword | Elasticity imaging techniques | - |
dc.subject.keyword | Ultrasonography | - |
dc.contributor.alternativeName | Kim, Eun Kyung | - |
dc.contributor.alternativeName | Yoon, Jung Hyun | - |
dc.contributor.affiliatedAuthor | Yoon, Jung Hyun | - |
dc.contributor.affiliatedAuthor | Kim, Eun-Kyung | - |
dc.citation.title | Ultrasonography | - |
dc.citation.volume | 36 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 153 | - |
dc.citation.endPage | 159 | - |
dc.identifier.bibliographicCitation | ULTRASONOGRAPHY, Vol.36(2) : 153-159, 2017 | - |
dc.date.modified | 2017-11-01 | - |
dc.identifier.rimsid | 43664 | - |
dc.type.rims | ART | - |
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