{"title":"声弹性成像在区分良性和恶性乳腺病变中的作用:比较弹性对比指数和筑波评分的前瞻性研究","authors":"Amlendu Kumar, A. Jha, P. Regmi, Ghanshyam Gurung","doi":"10.3126/njr.v14i1.64625","DOIUrl":null,"url":null,"abstract":"Introduction: Breast cancer is the most common cancer occurring in women globally which is potentially curable if detected early. Ultrasound elastography is a dynamic technique that estimates tissue stiffness to differentiate between benign and malignant masses. Our study aimed to determine and compare the diagnostic accuracy of B mode Sonography, Elasticity contrast index, and Tsukuba score in differentiating malignant and benign breast masses.\nMethods: This was a prospective cross-sectional study done including 110 lesions in 102 patients in the age group of 15-73 years. The solid breast lesions seen on sonography were categorized according to the American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) and further evaluated with elastography using both Elasticity Contrast Index (ECI) and Tsukuba score with pathological diagnosis taken as the gold standard. The cut-off value of ECI was obtained. The diagnostic accuracy of B-mode sonography, ECI, and Tsukuba score was compared.\nResults: We found that B-mode sonography had a sensitivity of 85.7%, specificity of 100%, and accuracy of 96.9 %. The accuracy of Tsukuba scores for differentiating benign and malignant lesions was 81.2%. The cut-off value of ECI obtained was 2.8 and the accuracy was 81.8%. A statistically significant correlation (p < 0.05) existed between sonographic diagnosis, ECI, and Tsukuba score.\nConclusions: B mode sonography had the highest diagnostic accuracy while ECI and Tsukuba scores were comparable. ECI can be used for breast masses using a cut-off of 2.8 to differentiate benign from malignant.","PeriodicalId":178516,"journal":{"name":"Nepalese Journal of Radiology","volume":"19 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of Sonoelastography in Differentiating Benign and Malignant Breast Lesions: A Prospective Study Comparing Elasticity Contrast Index and Tsukuba Score\",\"authors\":\"Amlendu Kumar, A. Jha, P. Regmi, Ghanshyam Gurung\",\"doi\":\"10.3126/njr.v14i1.64625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Breast cancer is the most common cancer occurring in women globally which is potentially curable if detected early. Ultrasound elastography is a dynamic technique that estimates tissue stiffness to differentiate between benign and malignant masses. Our study aimed to determine and compare the diagnostic accuracy of B mode Sonography, Elasticity contrast index, and Tsukuba score in differentiating malignant and benign breast masses.\\nMethods: This was a prospective cross-sectional study done including 110 lesions in 102 patients in the age group of 15-73 years. The solid breast lesions seen on sonography were categorized according to the American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) and further evaluated with elastography using both Elasticity Contrast Index (ECI) and Tsukuba score with pathological diagnosis taken as the gold standard. The cut-off value of ECI was obtained. The diagnostic accuracy of B-mode sonography, ECI, and Tsukuba score was compared.\\nResults: We found that B-mode sonography had a sensitivity of 85.7%, specificity of 100%, and accuracy of 96.9 %. The accuracy of Tsukuba scores for differentiating benign and malignant lesions was 81.2%. The cut-off value of ECI obtained was 2.8 and the accuracy was 81.8%. A statistically significant correlation (p < 0.05) existed between sonographic diagnosis, ECI, and Tsukuba score.\\nConclusions: B mode sonography had the highest diagnostic accuracy while ECI and Tsukuba scores were comparable. 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引用次数: 0
摘要
导言乳腺癌是全球妇女最常见的癌症,如果能及早发现,有可能治愈。超声弹性成像是一种动态技术,可估算组织硬度以区分良性和恶性肿块。我们的研究旨在确定并比较 B 型超声造影、弹性对比指数和筑波评分在区分恶性和良性乳腺肿块方面的诊断准确性:这是一项前瞻性横断面研究,包括 102 名 15-73 岁年龄组患者的 110 个病灶。根据美国放射学会乳腺成像报告和数据系统(ACR BI-RADS)对超声检查中发现的乳腺实变进行分类,并使用弹性对比指数(ECI)和筑波评分对弹性成像进行进一步评估,以病理诊断作为金标准。得出了弹性对比指数的临界值。比较了 B 型超声造影、ECI 和筑波评分的诊断准确性:结果:我们发现 B 型超声波检查的敏感性为 85.7%,特异性为 100%,准确性为 96.9%。筑波评分区分良性和恶性病变的准确率为 81.2%。ECI 的临界值为 2.8,准确率为 81.8%。超声诊断、ECI和筑波评分之间存在统计学意义上的相关性(P < 0.05):结论:B 型超声诊断准确率最高,而 ECI 和筑波评分相当。ECI可用于乳腺肿块,以2.8为临界值区分良性和恶性。
Role of Sonoelastography in Differentiating Benign and Malignant Breast Lesions: A Prospective Study Comparing Elasticity Contrast Index and Tsukuba Score
Introduction: Breast cancer is the most common cancer occurring in women globally which is potentially curable if detected early. Ultrasound elastography is a dynamic technique that estimates tissue stiffness to differentiate between benign and malignant masses. Our study aimed to determine and compare the diagnostic accuracy of B mode Sonography, Elasticity contrast index, and Tsukuba score in differentiating malignant and benign breast masses.
Methods: This was a prospective cross-sectional study done including 110 lesions in 102 patients in the age group of 15-73 years. The solid breast lesions seen on sonography were categorized according to the American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) and further evaluated with elastography using both Elasticity Contrast Index (ECI) and Tsukuba score with pathological diagnosis taken as the gold standard. The cut-off value of ECI was obtained. The diagnostic accuracy of B-mode sonography, ECI, and Tsukuba score was compared.
Results: We found that B-mode sonography had a sensitivity of 85.7%, specificity of 100%, and accuracy of 96.9 %. The accuracy of Tsukuba scores for differentiating benign and malignant lesions was 81.2%. The cut-off value of ECI obtained was 2.8 and the accuracy was 81.8%. A statistically significant correlation (p < 0.05) existed between sonographic diagnosis, ECI, and Tsukuba score.
Conclusions: B mode sonography had the highest diagnostic accuracy while ECI and Tsukuba scores were comparable. ECI can be used for breast masses using a cut-off of 2.8 to differentiate benign from malignant.