Atri Mostafa, Hudson John M, Sinaei Mehrdad, Williams Ross, Milot Laurent, Moshonov Hadas, Burns Peter N, Bjarnason Georg A
Division of Abdominal Imaging, Department of Medical Imaging, University of Toronto, Toronto General Hospital, Toronto, Ontario, Canada.
Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Ultrasound Med Biol. 2016 Mar;42(3):763-8. doi: 10.1016/j.ultrasmedbio.2015.11.005. Epub 2015 Dec 19.
This study evaluated the impact of different acquisition methods, user-directed region of interest placement and post-processing steps on the quantification of dynamic contrast-enhanced ultrasound measurements of blood volume in 29 patients with renal cancer, pre- and post-treatment. Specifically, we compared tumor quantification using multiple planes versus a single plane, breathhold versus free breathing and large region of interest versus a region targeting the area of highest vascularity. Performance was evaluated using area under the receiver operating characteristic curves to identify the method that best predicts progression-free survival. The intra-class correlation coefficient was also used to investigate how the same parameters affect inter-observer agreement. Of the different methods used to quantify blood volume in this study, the combination that had the highest level of inter-observer agreement (intra-class correlation coefficient = 0.8-0.97) and was the best predictor of progression-free survival was the change in blood volume measured (area under receiver operating characteristic curve = 0.77, p = 0.04) by a multiplane average, acquired during quiet breathing, quantified using a region of interest that encompassed the entire tumor.
本研究评估了不同采集方法、用户指导的感兴趣区域放置和后处理步骤对29例肾癌患者治疗前后动态对比增强超声测量血容量的影响。具体而言,我们比较了使用多平面与单平面进行肿瘤定量、屏气与自由呼吸以及大感兴趣区域与针对血管最丰富区域的区域进行肿瘤定量的情况。使用受试者操作特征曲线下面积评估性能,以确定最能预测无进展生存期的方法。组内相关系数也用于研究相同参数如何影响观察者间的一致性。在本研究中用于量化血容量的不同方法中,观察者间一致性水平最高(组内相关系数=0.8 - 0.97)且是无进展生存期最佳预测指标的组合是在安静呼吸期间通过多平面平均测量的血容量变化(受试者操作特征曲线下面积=0.77,p = 0.04),使用涵盖整个肿瘤的感兴趣区域进行量化。