Belmont Barry, Kessler Ross, Theyyunni Nikhil, Fung Christopher, Huang Robert, Cover Michael, Ward Kevin R, Shih Albert J, Tiba Mohamad
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA; Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, Michigan, USA.
Ultrasound Med Biol. 2018 Dec;44(12):2793-2801. doi: 10.1016/j.ultrasmedbio.2018.07.022. Epub 2018 Sep 11.
Ultrasound assessment of the respiratory-induced change in size of the inferior vena cava is a useful technique in the evaluation and management of critically ill patients. We have developed an automated technique based on the Kanade-Lucas-Tomasi feature tracker and pyramidal segmentation to continuously track the diameter of the inferior vena cava during ultrasound. To test the accuracy of this automated process, the inferior vena cava of 47 spontaneously breathing patients were measured by trained ultrasound physicians and compared against the results obtained via the automated tracking. Good agreement between the techniques was found, with intra-class correlation coefficients for maximum vessel diameter, minimum diameter and caval index of 0.897, 0.967 and 0.975, respectively. More than 95% of the difference between physicians and automated measurements agreed to within 10% of the inferior vena cava collapse. Furthermore a phenomenon of cardiac collapsibility index variability was observed and reported. The accuracy and precision of this algorithmic technique provide a foundation for future automated measures for critical care ultrasound.
超声评估呼吸引起的下腔静脉大小变化是评估和管理重症患者的一项有用技术。我们基于Kanade-Lucas-Tomasi特征跟踪器和金字塔分割技术开发了一种自动化技术，以在超声检查期间持续跟踪下腔静脉的直径。为了测试这种自动化过程的准确性，由训练有素的超声医生对47例自主呼吸患者的下腔静脉进行测量，并与通过自动跟踪获得的结果进行比较。发现两种技术之间具有良好的一致性，最大血管直径、最小直径和腔静脉指数的组内相关系数分别为0.897、0.967和0.975。医生测量值与自动测量值之间超过95%的差异在与下腔静脉塌陷10%以内的范围内一致。此外，还观察并报告了心脏可塌陷指数变异性现象。这种算法技术的准确性和精确性为未来重症监护超声的自动化测量奠定了基础。
