Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation.
Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation.
复制标题
啮齿动物多囊肾病模型中肾脏体积测量方法的准确性和处理时间：半自动肾脏分割的优越性。
DOI：
10.1152/ajprenal.00295.2022
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Mrug,Michal
中科院分区：
文献类型：
--
作者：
Doss,MaryClaire;Mullen,Sean;Roye,Ronald;Zhou,Juling;Chumley,Phillip;Mrug,Elias;Wallace,DarrenP;Qian,Feng;Harris,PeterC;Yoder,BradleyK;Kim,Harrison;Mrug,Michal
使用磁共振成像（MRI）测量肾脏总体积（TKV）是监测常染色体显性遗传性多囊肾病（PKD）疾病进展的一种有价值的方法，在使用动物模型的临床前研究中越来越常见。手动勾画肾脏MRI区域的轮廓[即，手动方法（MM）]是一种常规但耗时的TKV测定方法。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：Cys 1cpk/cpkmice，Pkd 1 RC/RC mice和Pkhd 1 pck/pckrats（每个模型n= 10）。我们比较了基于SAM的TKV与临床替代方法获得的TKV，包括使用三个肾脏尺寸的基于椭圆体公式的方法（EM）、最长肾脏长度方法（LM）和MM（被认为是金标准）。SAM和EM对Cys 1cpk/cpk小鼠TKV评估的准确性均较高[组间相关系数（ICC）≥ 0.94]。SAM在Pkd 1 RC/RC小鼠（SAM、EM和LM的ICC分别为0.87、0.74和<0.10）和Pkhd 1 pck/pck大鼠（ICC分别为0.59、<0.10和<0.10）中上级EM和LM。此外，SAM在Cys 1cpk/cpk小鼠（3.6 ± 0.6 vs. 4.4 ± 0.7 min/肾脏）和Pkd 1 RC/RC小鼠（3.1 ± 0.4 vs. 7.1 ± 2.6 min/肾脏，均P < 0.001）的处理时间方面优于EM，但在Pkhd 1 PCK/PCK大鼠（3.7 ± 0.8 vs. 3.2 ± 0.5 min/肾脏）中则不然。在所有研究模型中，LM是最快的（101 min），但与基于MM的TKV相关性最差。Cys 1cpk/cpk小鼠、Pkd 1 RC/RC小鼠和Pkhd1pck.pck大鼠的MM处理时间较长（66.1 ± 7.3、38.3 ± 7.5和29.2 ± 3.5 min）。总之，SAM是一种快速、准确的方法，可用于测定小鼠和大鼠PKD模型中的TKV。新&值得注意的是，肾脏总体积（TKV）在常染色体显性遗传和常染色体隐性遗传多囊肾病（ADPKD和ARPKD）的临床前研究中是一个有价值的读数。由于传统的TKV评估手动轮廓的肾脏区域的所有图像是耗时的，我们开发了一种基于模板的半自动图像分割方法（SAM），并验证了它在三个常用的ADPKD和ARPKD模型。在小鼠和大鼠ARPKD和ADPKD模型中，基于SAM的TKV测量快速、重现性高且准确。
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/cpkmice,Pkd1RC/RCmice, andPkhd1pck/pckrats (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 inCys1cpk/cpkmice [interclass correlation coefficient (ICC) ≥ 0.94]. SAM was superior to EM and LM inPkd1RC/RCmice (ICC = 0.87, 0.74, and <0.10 for SAM, EM, and LM, respectively) andPkhd1pck/pckrats (ICC = 0.59, <0.10, and <0.10, respectively). Also, SAM outperformed EM in processing time inCys1cpk/cpkmice (3.6 ± 0.6 vs. 4.4 ± 0.7 min/kidney) andPkd1RC/RCmice (3.1 ± 0.4 vs. 7.1 ± 2.6 min/kidney, bothP< 0.001) but not inPkhd1PCK/PCKrats (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 forCys1cpk/cpkmice,Pkd1RC/RCmice, andPkhd1pck.pckrats (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 & NOTEWORTHYTotal 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.