PDF(Pubmed)
Abstract：
Interoperator variability in the reproducibility of breast lesions found by handheld ultrasound (HHUS) can significantly interfere with clinical care. This study analyzed the features associated with breast mass position differences during HHUS. The ability of operators to reproduce the position of small masses and the time required to generate annotations with and without a computer-assisted scanning device (DEVICE) were also evaluated. This prospective study included 28 patients with 34 benign or probably benign small breast masses. Two operators generated manual and automated position annotations for each mass. The probe and body positions were systematically varied during scanning with the DEVICE, and the features describing mass movement were used in three logistic regression models trained to discriminate small from large breast mass displacements (cutoff: 10 mm). All models successfully discriminated small from large breast mass displacements (areas under the curve: 0.78 to 0.82). The interoperator localization precision was 6.6 ± 2.8 mm with DEVICE guidance and 19.9 ± 16.1 mm with manual annotations. Computer-assisted scanning reduced the time to annotate and reidentify a mass by 33 and 46 s on average, respectively. The results demonstrated that breast mass location reproducibility and exam efficiency improved by controlling operator actionable features with computer-assisted HHUS.
摘要：
通过手持式超声（HHUS）发现的乳腺病变可重复性的操作员间差异可能会严重干扰临床护理。这项研究分析了HHUS期间与乳房肿块位置差异相关的特征。还评估了操作员重现小质量的位置的能力以及在有和没有计算机辅助扫描设备（DEVICE）的情况下生成注释所需的时间。这项前瞻性研究包括28例患者，其中34例良性或可能是良性的小乳腺肿块。两名操作员为每个质量生成手动和自动位置注释。探头和身体位置在使用设备扫描过程中发生系统性变化，并且描述质量运动的特征被用于三个逻辑回归模型中，这些模型被训练来区分小的和大的乳房质量位移（截止：10mm）。所有模型都成功区分了小的和大的乳房肿块位移（曲线下面积：0.78至0.82）。在DEVICE指导下，操作员间定位精度为6.6±2.8mm，在手动注释下为19.9±16.1mm。计算机辅助扫描将注释和重新识别质量的时间平均减少了33和46秒，分别。结果表明，通过使用计算机辅助HHUS控制操作员可操作的特征，可以提高乳房肿块位置的可重复性和检查效率。
