Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation

Author:

Doss Mary Claire1,Mullen Sean1,Roye Ronald1,Zhou Juling1,Chumley Phillip1,Mrug Elias2,Wallace Darren P.34ORCID,Qian Feng5ORCID,Harris Peter C.6,Yoder Bradley K.7,Kim Harrison8ORCID,Mrug Michal19ORCID

Affiliation:

1. Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States

2. Math-Science Department, Alabama School of Fine Arts, Birmingham, Alabama, United States

3. The Jared Grantham Kidney Institute, University of Kansas Medical Center, Kansas City, Kansas, United States

4. Department of Medicine, University of Kansas Medical Center, Kansas City, Kansas, United States

5. Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States

6. Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States

7. Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, United States

8. Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, United States

9. Section of Nephrology, Department of Veterans Affairs Medical Center, Birmingham, Alabama, United States

Abstract

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.

Funder

HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases

U.S. Department of Veterans Affairs

Publisher

American Physiological Society

Subject

Physiology

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