Department of Radiology, Baylor College of Medicine, One Baylor Plaza, MS 360, Houston, TX 77030, USA.
AJR Am J Roentgenol. 2013 Aug;201(2):456-61. doi: 10.2214/AJR.12.10157.
The purpose of this article is to determine whether formal instruction regarding the BI-RADS ultrasound lexicon results in improved appropriate use of the lexicon.
Ninety test questions depicting the features outlined by the 2003 BI-RADS lexicon were identified in our PACS. Informed consent was obtained from 34 radiology residents. The participants took the preinstruction test and then had 1 hour of formal instruction regarding the BI-RADS ultrasound lexicon, which included images depicting the different sonographic features and final assessment (including subcategories 4a, 4b, and 4c). The participants then completed the postinstruction test, which examined the same content. Test scores were calculated for both the pre- and postinstruction tests and then were compared by a linear mixed model and Wilcoxon signed rank tests.
The participants' postinstruction test scores showed significant improvement in the overall use of the BI-RADS ultrasound lexicon (p < 0.0001). There was also significant improvement in the following specific areas: final assessment (p = 0.0005), margin (p = 0.0003), orientation (p = 0.0104), and lesion boundary (p = 0.0050). The categories for which test scores did not show significant improvement were echo pattern (p = 0.07), posterior acoustic features (p = 0.50), shape (p = 0.98), and subset of the final assessment (p = 0.24).
Formal instruction regarding the BI-RADS ultrasound lexicon results in improved lesion characterization and final assessment.
本文旨在确定针对 BI-RADS 超声词汇表的正式指导是否会导致词汇表的使用更加恰当。
在我们的 PACS 中确定了 90 个描述 2003 年 BI-RADS 词汇表特征的测试问题。从 34 名放射科住院医师中获得了知情同意。参与者参加了预测试,然后接受了 1 小时的关于 BI-RADS 超声词汇表的正式指导,其中包括描绘不同超声特征和最终评估(包括亚类 4a、4b 和 4c)的图像。然后,参与者完成了测试相同内容的后测试。计算了前测和后测的测试分数,然后通过线性混合模型和 Wilcoxon 符号秩检验进行比较。
参与者的后测测试分数在整体上使用 BI-RADS 超声词汇表方面显示出显著改善(p < 0.0001)。在以下特定领域也有显著改善:最终评估(p = 0.0005)、边缘(p = 0.0003)、方向(p = 0.0104)和病变边界(p = 0.0050)。测试分数没有显示出显著改善的类别是回声模式(p = 0.07)、后向声特征(p = 0.50)、形状(p = 0.98)和最终评估的子集(p = 0.24)。
针对 BI-RADS 超声词汇表的正式指导可改善病变特征描述和最终评估。