Delgado San Martin J A, Worthington P, Yates J W T
Oncology iMed/DMPK, AstraZeneca, Cheshire, UK Physics Department, University of Aberdeen, Aberdeen, UK
Discovery Sciences, AstraZeneca, Cheshire, UK.
Lab Anim. 2015 Apr;49(2):168-71. doi: 10.1177/0023677214562653. Epub 2014 Dec 5.
Subcutaneous tumour xenograft volumes are generally measured using callipers. This method is susceptible to inter- and intra-observer variability and systematic inaccuracies. Non-invasive 3D measurement using ultrasound and magnetic resonance imaging (MRI) have been considered, but require immobilization of the animal. An infrared-based 3D time-of-flight (3DToF) camera was used to acquire a depth map of tumour-bearing mice. A semi-automatic algorithm based on parametric surfaces was applied to estimate tumour volume. Four clay mouse models and 18 tumour-bearing mice were assessed using callipers (applying both prolate spheroid and ellipsoid models) and 3DToF methods, and validated using tumour weight. Inter-experimentalist variability could be up to 25% in the calliper method. Experimental results demonstrated good consistency and relatively low error rates for the 3DToF method, in contrast to biased overestimation using callipers. Accuracy is currently limited by camera performance; however, we anticipate the next generation 3DToF cameras will be able to support the development of a practical system. Here, we describe an initial proof of concept for a non-invasive, non-immobilized, morphology-independent, economical and potentially more precise tumour volume assessment technique. This affordable technique should maximize the datapoints per animal, by reducing the numbers required in experiments and reduce their distress.
皮下肿瘤异种移植瘤的体积通常用游标卡尺测量。这种方法容易受到观察者间和观察者内的变异性以及系统误差的影响。已经考虑过使用超声和磁共振成像(MRI)进行非侵入性三维测量,但这需要使动物保持固定状态。使用基于红外线的三维飞行时间(3DToF)相机获取荷瘤小鼠的深度图。应用基于参数曲面的半自动算法来估计肿瘤体积。使用游标卡尺(应用长椭球体和椭球体模型)和3DToF方法对四个黏土小鼠模型和18只荷瘤小鼠进行评估,并通过肿瘤重量进行验证。在游标卡尺法中,实验者之间的变异性可能高达25%。实验结果表明,与游标卡尺法的偏差高估相比,3DToF方法具有良好的一致性和相对较低的错误率。目前,精度受相机性能限制;然而,我们预计下一代3DToF相机将能够支持实用系统的开发。在此,我们描述了一种用于非侵入性、无需固定、与形态无关、经济且可能更精确的肿瘤体积评估技术的初步概念验证。这种经济实惠的技术应通过减少实验所需的动物数量来最大化每只动物的数据点,并减轻它们的痛苦。