Qian, Feng
Mayo Clinic
Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States.
Citations 1
Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation
Doss, Mary Claire, Mullen, Sean, Roye, Ronald, Zhou, Juling, Chumley, Phillip , Mrug, Elias, Qian, Feng , Harris, Peter C. , Yoder, Bradley K. , Kim, Harrison , Mrug, Michal , Wallace, Darren P , Qian, Feng , Kim, Harrison , Mrug, Michal , Harris, Peter C , Yoder, Bradley K , Wallace, Darren P.
American Journal of Physiology-Renal Physiology | February 16, 2023 | Volume: 324 | Issue: 4 | Pages: F423-F430
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.