Imaging Performance of a Handheld Ultrasound System With Real-Time Computer-Aided Detection of Lumbar Spine Anatomy: A Feasibility Study.
Imaging Performance of a Handheld Ultrasound System With Real-Time Computer-Aided Detection of Lumbar Spine Anatomy: A Feasibility Study.
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DOI：
10.1097/rli.0000000000000361
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发表时间：
2017-08
影响因子：
6.7
通讯作者：
Krishnaraj A
中科院分区：
文献类型：
--
作者：
Tiouririne M;Dixon AJ;Mauldin FW Jr;Scalzo D;Krishnaraj A
评估手持式超声系统的成像性能和自动腰椎计算机辅助检测（CAD）算法在人类受试者脊柱中的准确性。这项研究得到了弗吉尼亚大学机构审查委员会的批准。作者设计了一种手持式超声系统，该系统具有增强骨图像质量和腰椎解剖全自动计算机辅助检测（CAD）。通过对68名BMI在18.5至48 kg/m2之间的志愿者的腰椎进行成像来评估成像性能。腰椎CAD算法的准确性、敏感性和特异性通过将算法结果与放射科医生提供的神经轴解剖的真实分割进行比较来评估。腰椎CAD算法检测硬膜外间隙的灵敏度为94.2% (95% CI: 85.1-98.1)，特异性为85.5% (95% CI: 81.7-88.6)，与人工二维超声图像测量结果相比，测量深度的误差约为±0.5 cm。检测脊柱中线的灵敏度为93.9% (95% CI: 85.8-97.7)，特异性为91.3% (95% CI: 83.6-96.9)，其在超声图像内的侧向位置测量误差约为±0.3 cm。与类似的手持式超声成像系统相比，骨增强成像模式产生的图像具有5.1至10倍的增强骨对比度。本研究的结果证明了CAD在床边辅助实时解读腰椎超声图像的可行性。
To evaluate the imaging performance of a handheld ultrasound system and the accuracy of an automated lumbar spine computer-aided detection (CAD) algorithm in the spines of human subjects. This study was approved by the Institutional Review Board of the University of Virginia. The authors designed a handheld ultrasound system with enhanced bone image quality and fully automated computer-aided detection (CAD) of lumbar spine anatomy. The imaging performance was evaluated by imaging the lumbar spines of 68 volunteers with BMI between 18.5 and 48 kg/m2. The accuracy, sensitivity, and specificity of the lumbar spine CAD algorithm was assessed by comparing the algorithm’s results to ground-truth segmentations of neuraxial anatomy provided by radiologists. The lumbar spine CAD algorithm detected the epidural space with a sensitivity of 94.2% (95% CI: 85.1–98.1) and a specificity of 85.5% (95% CI: 81.7–88.6) and measured its depth with an error of approximately ± 0.5 cm compared to measurements obtained manually from the 2D ultrasound images. The spine midline was detected with a sensitivity of 93.9% (95% CI: 85.8–97.7) and specificity of 91.3% (95% CI: 83.6–96.9), and its lateral position within the ultrasound image was measured with an error of approximately ± 0.3 cm. The bone enhancement imaging mode produced images with 5.1 to 10-fold enhanced bone contrast when compared to a comparable handheld ultrasound imaging system. The results of this study demonstrate the feasibility of CAD for assisting with real-time interpretation of ultrasound images of the lumbar spine at the bedside.