Haram J. Kim, Eiyoung Kwon, Youngsam Park, E. Choi, Mi Jin Kim, C. Kim
{"title":"乳腺外科医生与S-DetectTM对乳腺肿块诊断效能的比较研究(Samsung Medison Co., Ltd, Seoul, Korea)","authors":"Haram J. Kim, Eiyoung Kwon, Youngsam Park, E. Choi, Mi Jin Kim, C. Kim","doi":"10.46268/JSU.2019.6.2.58","DOIUrl":null,"url":null,"abstract":"Purpose: Ultrasonography is widely used for examining breast mass. We used the Breast Imaging-Reporting and Data System (BI-RADS) to characterize breast lesions found on ultrasonography. Among various ultrasound techniques, we used S-Detect TM (Samsung Medison Co., Ltd, Seoul, Korea), which supports the morphological analysis of breast masses found according to BI-RADS. In addition, we compared the breast surgeons’ categorization of breast masses with that by S-Detect TM . Methods: Breast surgeons evaluated the breast masses found using ultrasonography between April 2016 and December 2016. A total of 139 masses, which were categorized as BI-RADS 3 or 4, from 112 patients were reevaluated by S-Detect TM before performing vacuum-as-sisted resection or surgical excision. Results: Of the 139 masses, 118 were benign tumors and 21 were malignant tumors. With regard to the diagnostic performance, the sensitivity of categorization was 95% for breast surgeons, but the sensitivity was relatively lower for S-detect TM (85%). However, the specificity and accuracy of S-detect TM were 70.6% and 74.1%, respectively, which were higher than those values obtained from breast surgeons (18.5% and 30.9%, respectively). Conclusion: S-detect TM can be used by breast surgeons as a diagnostic aid when evaluating and diagnosing breast masses found on ultrasonography.","PeriodicalId":33937,"journal":{"name":"Journal of Surgical Ultrasound","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparative Study of the Diagnostic Performance of Evaluating Breast Masses for Breast Surgeons versus S-DetectTM(Samsung Medison Co., Ltd, Seoul, Korea)\",\"authors\":\"Haram J. Kim, Eiyoung Kwon, Youngsam Park, E. Choi, Mi Jin Kim, C. Kim\",\"doi\":\"10.46268/JSU.2019.6.2.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: Ultrasonography is widely used for examining breast mass. We used the Breast Imaging-Reporting and Data System (BI-RADS) to characterize breast lesions found on ultrasonography. Among various ultrasound techniques, we used S-Detect TM (Samsung Medison Co., Ltd, Seoul, Korea), which supports the morphological analysis of breast masses found according to BI-RADS. In addition, we compared the breast surgeons’ categorization of breast masses with that by S-Detect TM . Methods: Breast surgeons evaluated the breast masses found using ultrasonography between April 2016 and December 2016. A total of 139 masses, which were categorized as BI-RADS 3 or 4, from 112 patients were reevaluated by S-Detect TM before performing vacuum-as-sisted resection or surgical excision. Results: Of the 139 masses, 118 were benign tumors and 21 were malignant tumors. With regard to the diagnostic performance, the sensitivity of categorization was 95% for breast surgeons, but the sensitivity was relatively lower for S-detect TM (85%). However, the specificity and accuracy of S-detect TM were 70.6% and 74.1%, respectively, which were higher than those values obtained from breast surgeons (18.5% and 30.9%, respectively). Conclusion: S-detect TM can be used by breast surgeons as a diagnostic aid when evaluating and diagnosing breast masses found on ultrasonography.\",\"PeriodicalId\":33937,\"journal\":{\"name\":\"Journal of Surgical Ultrasound\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Surgical Ultrasound\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46268/JSU.2019.6.2.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Surgical Ultrasound","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46268/JSU.2019.6.2.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparative Study of the Diagnostic Performance of Evaluating Breast Masses for Breast Surgeons versus S-DetectTM(Samsung Medison Co., Ltd, Seoul, Korea)
Purpose: Ultrasonography is widely used for examining breast mass. We used the Breast Imaging-Reporting and Data System (BI-RADS) to characterize breast lesions found on ultrasonography. Among various ultrasound techniques, we used S-Detect TM (Samsung Medison Co., Ltd, Seoul, Korea), which supports the morphological analysis of breast masses found according to BI-RADS. In addition, we compared the breast surgeons’ categorization of breast masses with that by S-Detect TM . Methods: Breast surgeons evaluated the breast masses found using ultrasonography between April 2016 and December 2016. A total of 139 masses, which were categorized as BI-RADS 3 or 4, from 112 patients were reevaluated by S-Detect TM before performing vacuum-as-sisted resection or surgical excision. Results: Of the 139 masses, 118 were benign tumors and 21 were malignant tumors. With regard to the diagnostic performance, the sensitivity of categorization was 95% for breast surgeons, but the sensitivity was relatively lower for S-detect TM (85%). However, the specificity and accuracy of S-detect TM were 70.6% and 74.1%, respectively, which were higher than those values obtained from breast surgeons (18.5% and 30.9%, respectively). Conclusion: S-detect TM can be used by breast surgeons as a diagnostic aid when evaluating and diagnosing breast masses found on ultrasonography.