乳腺影像报告与数据系统的临床应用价值 |
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引用本文: | 王徐旭,张学珍,年静. 乳腺影像报告与数据系统的临床应用价值[J]. 蚌埠医学院学报, 2019, 44(8): 1104-1106. DOI: 10.13898/j.cnki.issn.1000-2200.2019.08.035 |
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作者姓名: | 王徐旭 张学珍 年静 |
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作者单位: | 蚌埠医学院第二附属医院 功能科,安徽 蚌埠,233040;蚌埠医学院第二附属医院 功能科,安徽 蚌埠,233040;蚌埠医学院第二附属医院 功能科,安徽 蚌埠,233040 |
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摘 要: | 目的评价乳腺影像报告与数据系统(BI-RADS)分类法对乳腺结节良恶性质判断的临床价值。方法对53例病人的89个乳腺结节常规行高频彩色多普勒超声检查,并根据BI-RADS分类法进行分类,与病理结果相对照,分析良恶性结节的超声声像图特点,评估该方法对判断乳腺结节良恶性质判断的临床价值。结果53例共计89个乳腺结节,依据BI-RADS分类诊断64个为良性结节,25个为恶性结节,与病理结果比对后,3类结节的诊断与病理结果完全一致;4~5类结节的诊断灵敏度、特异性、阳性预测值、阴性预测值分别为95.6%、82.1%、81.5%、88.4%;良恶性结节超声声像图在形态、微钙化、边缘、后方回声、血流、腋窝淋巴结相比差异具有统计学意义(P < 0.01)。结论BI-RADS分类法准确性较高,是诊断乳腺疾病的有效方法,对乳腺结节良恶性质判断有重要的价值。
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关 键 词: | 乳腺结节 乳腺影像报告与数据系统 超声 |
收稿时间: | 2018-08-30 |
Clinical application value of breast imaging reporting and data system |
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Affiliation: | Department of Functional Inspection, The Second Affiliated Hospital of Bengbu Medical Colleage, Bengbu Anhui 233040, China |
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Abstract: | ObjectiveTo evaluate the clinical value of breast imaging reporting and data system(BI-RADS) classification in the judgement of benign and malignant nature of breast nodules.MethodsEighty-nine breast nodules in 53 patients were routinely examined using high-frequency color doppler ultrasonography, classified according to the BI-RADS, and compared with the pathological results.The ultrasonographic features of benign and malignant nodules were analyzed, and the clinical value of which in judging the benign and malignant nature of breast nodules was evaluated.ResultsThere were a total of 89 breast nodules in 53 cases.According to the classification of BI-RADS, 64 nodules were benign, and 25 nodules were malignant.Compared with the pathological results, the diagnosis of type 3 nodules was completely consistent with the pathological results.The diagnostic sensitivity, specificity, positive predictive value and negative predictive value in type 4-5 nodules were 95.6%, 82.1%, 81.5% and 88.4%, respectively.The differences in the morphology, microcalcification, margin, posterior echo, blood flow and axillary lymph nodes were statistically significant(P < 0.01).ConclusionsThe accuracy of BI-RADS classification is high.The means is an effective method in the diagnosis of breast diseases, which has great value in judging the benign and malignant nature of breast nodules. |
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