使用磁共振成像(MRI)测量总肾脏体积(TKV)是监测常染色体显性多囊肾病(PKD)疾病进展的有价值的方法,并且在使用动物模型的临床前研究中变得越来越普遍。肾脏MRI区域的手动轮廓[即,手动方法(MM)]是一种常规方法,但是耗时,确定TKV的方法。我们开发了一种基于模板的半自动图像分割方法(SAM),并在三种常用的PKD模型中进行了验证:Cys1cpk/cpk小鼠,Pkd1RC/RC小鼠,和Pkhd1pck/pck大鼠(每个模型n=10)。我们将基于SAM的TKV与通过临床替代方法获得的TKV进行了比较,包括使用三个肾脏维度的基于椭球公式的方法(EM),最长肾脏长度法(LM),MM,这被认为是黄金标准。SAM和EM在Cys1cpk/cpk小鼠的TKV评估中均具有很高的准确性[类间相关系数(ICC)≥0.94]。在Pkd1RC/RC小鼠中,SAM优于EM和LM(SAM的ICC=0.87、0.74和<0.10,EM,而LM,分别)和Pkhd1pck/pck大鼠(ICC分别为0.59,<0.10和<0.10)。此外,SAM在Cys1cpk/cpk小鼠的处理时间上优于EM(3.6±0.6与4.4±0.7分钟/肾)和Pkd1RC/RC小鼠(3.1±0.4vs.7.1±2.6分钟/肾,均P<0.001),但在Pkhd1PCK/PCK大鼠中没有(3.7±0.8vs.3.2±0.5分钟/肾)。在所有研究的模型中,LM是最快的(~1分钟),但与基于MM的TKV的相关性最差。Cys1cpk/cpk小鼠的MM处理时间更长,Pkd1RC/RC小鼠,和Pkhd1pck。pck大鼠(66.1±7.3,38.3±7.5和29.2±3.5分钟)。总之,SAM是一种在小鼠和大鼠PKD模型中快速准确测定TKV的方法。在常染色体显性和常染色体隐性多囊肾疾病(ADPKD和ARPKD)的临床前研究中,肾总体积(TKV)是有价值的读数。由于通过手动勾画所有图像中肾脏区域的常规TKV评估是耗时的,我们开发了一种基于模板的半自动图像分割方法(SAM),并在三种常用的ADPKD和ARPKD模型中进行了验证。基于SAM的TKV测量速度很快,高度可重复,在小鼠和大鼠ARPKD和ADPKD模型中的准确性。
Measurement of total kidney volume (TKV) using magnetic resonance imaging (MRI) is a valuable approach for monitoring disease progression in autosomal dominant polycystic kidney disease (PKD) and is becoming more common in preclinical studies using animal models. Manual contouring of kidney MRI areas [i.e., manual method (MM)] is a conventional, but time-consuming, way to determine TKV. We developed a template-based semiautomatic image segmentation method (SAM) and validated it in three commonly used PKD models: Cys1cpk/cpk mice, Pkd1RC/RC mice, and Pkhd1pck/pck rats (n = 10 per model). We compared SAM-based TKV with that obtained by clinical alternatives including the ellipsoid formula-based method (EM) using three kidney dimensions, the longest kidney length method (LM), and MM, which is considered the gold standard. Both SAM and EM presented high accuracy in TKV assessment in Cys1cpk/cpk mice [interclass correlation coefficient (ICC) ≥ 0.94]. SAM was superior to EM and LM in Pkd1RC/RC mice (ICC = 0.87, 0.74, and <0.10 for SAM, EM, and LM, respectively) and Pkhd1pck/pck rats (ICC = 0.59, <0.10, and <0.10, respectively). Also, SAM outperformed EM in processing time in Cys1cpk/cpk mice (3.6 ± 0.6 vs. 4.4 ± 0.7 min/kidney) and Pkd1RC/RC mice (3.1 ± 0.4 vs. 7.1 ± 2.6 min/kidney, both P < 0.001) but not in Pkhd1PCK/PCK rats (3.7 ± 0.8 vs. 3.2 ± 0.5 min/kidney). LM was the fastest (∼1 min) but correlated most poorly with MM-based TKV in all studied models. Processing times by MM were longer for Cys1cpk/cpk mice, Pkd1RC/RC mice, and Pkhd1pck.pck rats (66.1 ± 7.3, 38.3 ± 7.5, and 29.2 ± 3.5 min). In summary, SAM is a fast and accurate method to determine TKV in mouse and rat PKD models.NEW & NOTEWORTHY Total kidney volume (TKV) is a valuable readout in preclinical studies for autosomal dominant and autosomal recessive polycystic kidney diseases (ADPKD and ARPKD). Since conventional TKV assessment by manual contouring of kidney areas in all images is time-consuming, we developed a template-based semiautomatic image segmentation method (SAM) and validated it in three commonly used ADPKD and ARPKD models. SAM-based TKV measurements were fast, highly reproducible, and accurate across mouse and rat ARPKD and ADPKD models.