Mary Claire Doss, Sean Mullen, Ronald Roye, Juling Zhou, Phillip Chumley, Elias Mrug, Darren P Wallace, Feng Qian, Peter C Harris, Bradley K Yoder, Harrison Kim, Michal Mrug
{"title":"啮齿动物多囊肾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。","authors":"Mary Claire Doss, Sean Mullen, Ronald Roye, Juling Zhou, Phillip Chumley, Elias Mrug, Darren P Wallace, Feng Qian, Peter C Harris, Bradley K Yoder, Harrison Kim, Michal Mrug","doi":"10.1152/ajprenal.00295.2022","DOIUrl":null,"url":null,"abstract":"<p><p>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: <i>Cys1</i><sup>cpk/cpk</sup> mice, <i>Pkd1</i><sup>RC/RC</sup> mice, and <i>Pkhd1</i><sup>pck/pck</sup> rats (<i>n</i> = 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 <i>Cys1</i><sup>cpk/cpk</sup> mice [interclass correlation coefficient (ICC) ≥ 0.94]. SAM was superior to EM and LM in <i>Pkd1</i><sup>RC/RC</sup> mice (ICC = 0.87, 0.74, and <0.10 for SAM, EM, and LM, respectively) and <i>Pkhd1</i><sup>pck/pck</sup> rats (ICC = 0.59, <0.10, and <0.10, respectively). Also, SAM outperformed EM in processing time in <i>Cys1</i><sup>cpk/cpk</sup> mice (3.6 ± 0.6 vs. 4.4 ± 0.7 min/kidney) and <i>Pkd1</i><sup>RC/RC</sup> mice (3.1 ± 0.4 vs. 7.1 ± 2.6 min/kidney, both <i>P</i> < 0.001) but not in <i>Pkhd1</i><sup>PCK/PCK</sup> 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 <i>Cys1</i><sup>cpk/cpk</sup> mice, <i>Pkd1</i><sup>RC/RC</sup> mice, and <i>Pkhd1</i><sup>pck.pck</sup> 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.<b>NEW & NOTEWORTHY</b> 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.</p>","PeriodicalId":7588,"journal":{"name":"American Journal of Physiology-renal Physiology","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069971/pdf/","citationCount":"0","resultStr":"{\"title\":\"Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation.\",\"authors\":\"Mary Claire Doss, Sean Mullen, Ronald Roye, Juling Zhou, Phillip Chumley, Elias Mrug, Darren P Wallace, Feng Qian, Peter C Harris, Bradley K Yoder, Harrison Kim, Michal Mrug\",\"doi\":\"10.1152/ajprenal.00295.2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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: <i>Cys1</i><sup>cpk/cpk</sup> mice, <i>Pkd1</i><sup>RC/RC</sup> mice, and <i>Pkhd1</i><sup>pck/pck</sup> rats (<i>n</i> = 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 <i>Cys1</i><sup>cpk/cpk</sup> mice [interclass correlation coefficient (ICC) ≥ 0.94]. SAM was superior to EM and LM in <i>Pkd1</i><sup>RC/RC</sup> mice (ICC = 0.87, 0.74, and <0.10 for SAM, EM, and LM, respectively) and <i>Pkhd1</i><sup>pck/pck</sup> rats (ICC = 0.59, <0.10, and <0.10, respectively). Also, SAM outperformed EM in processing time in <i>Cys1</i><sup>cpk/cpk</sup> mice (3.6 ± 0.6 vs. 4.4 ± 0.7 min/kidney) and <i>Pkd1</i><sup>RC/RC</sup> mice (3.1 ± 0.4 vs. 7.1 ± 2.6 min/kidney, both <i>P</i> < 0.001) but not in <i>Pkhd1</i><sup>PCK/PCK</sup> 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 <i>Cys1</i><sup>cpk/cpk</sup> mice, <i>Pkd1</i><sup>RC/RC</sup> mice, and <i>Pkhd1</i><sup>pck.pck</sup> 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.<b>NEW & NOTEWORTHY</b> 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.</p>\",\"PeriodicalId\":7588,\"journal\":{\"name\":\"American Journal of Physiology-renal Physiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069971/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Physiology-renal Physiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1152/ajprenal.00295.2022\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/2/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PHYSIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Physiology-renal Physiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1152/ajprenal.00295.2022","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/2/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation.
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.
期刊介绍:
The American Journal of Physiology - Renal Physiology publishes original manuscripts on timely topics in both basic science and clinical research. Published articles address a broad range of subjects relating to the kidney and urinary tract, and may involve human or animal models, individual cell types, and isolated membrane systems. Also covered are the pathophysiological basis of renal disease processes, regulation of body fluids, and clinical research that provides mechanistic insights. Studies of renal function may be conducted using a wide range of approaches, such as biochemistry, immunology, genetics, mathematical modeling, molecular biology, as well as physiological and clinical methodologies.