Literature DB >> 33521650

Assessing Polycystic Kidney Disease in Rodents: Comparison of Robotic 3D Ultrasound and Magnetic Resonance Imaging.

Nathan J Beaumont1, Heather L Holmes2, Adriana V Gregory3, Marie E Edwards4, Juan D Rojas1, Ryan C Gessner1, Paul A Dayton5, Timothy L Kline3,4, Michael F Romero2,3, Tomasz J Czernuszewicz1,5.   

Abstract

Polycystic kidney disease (PKD) is an inherited disorder characterized by renal cyst formation and enlargement of the kidney. PKD severity can be staged noninvasively by measuring total kidney volume (TKV), a promising biomarker that has recently received regulatory qualification. In preclinical mouse models, where the disease is studied and potential therapeutics are evaluated, the most popular noninvasive method of measuring TKV is magnetic resonance imaging (MRI). Although MRI provides excellent 3D resolution and contrast, these systems are expensive to operate, have long acquisition times, and, consequently, are not heavily used in preclinical PKD research. In this study, a new imaging instrument, based on robotic ultrasound (US), was evaluated as a complementary approach for assessing PKD in rodent models. The objective was to determine the extent to which TKV measurements on the robotic US scanner correlated with both in vivo and ex vivo reference standards (MRI and Vernier calipers, respectively). A cross-sectional study design was implemented that included both PKD-affected mice and healthy wild types, spanning sex and age for a wide range of kidney volumes. It was found that US-derived TKV measurements and kidney lengths were strongly associated with both in vivo MRI and ex vivo Vernier caliper measurements (R 2=0.94 and 0.90, respectively). In addition to measuring TKV, renal vascular density was assessed using acoustic angiography (AA), a novel contrast-enhanced US methodology. AA image intensity, indicative of volumetric vascularity, was seen to have a strong negative correlation with TKV (R 2=0.82), suggesting impaired renal vascular function in mice with larger kidneys. These studies demonstrate that robotic US can provide a rapid and accurate approach for noninvasively evaluating PKD in rodent models.

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Year:  2020        PMID: 33521650      PMCID: PMC7842280          DOI: 10.34067/kid.0003912020

Source DB:  PubMed          Journal:  Kidney360        ISSN: 2641-7650


  28 in total

1.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

2.  Polycystic kidney disease.

Authors:  Peter Igarashi; Stefan Somlo
Journal:  J Am Soc Nephrol       Date:  2007-04-11       Impact factor: 10.121

Review 3.  Translational research in ADPKD: lessons from animal models.

Authors:  Hester Happé; Dorien J M Peters
Journal:  Nat Rev Nephrol       Date:  2014-08-19       Impact factor: 28.314

4.  In vivo imaging of lipid storage and regression in diet-induced obesity during nutrition manipulation.

Authors:  Abdel Wahad Bidar; Karolina Ploj; Christopher Lelliott; Karin Nelander; Maria Sörhede Winzell; Gerhard Böttcher; Jan Oscarsson; Leonard Storlien; Paul D Hockings
Journal:  Am J Physiol Endocrinol Metab       Date:  2012-10-02       Impact factor: 4.310

Review 5.  The importance of total kidney volume in evaluating progression of polycystic kidney disease.

Authors:  Jared J Grantham; Vicente E Torres
Journal:  Nat Rev Nephrol       Date:  2016-10-03       Impact factor: 28.314

6.  Renal structure in early autosomal-dominant polycystic kidney disease (ADPKD): The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) cohort.

Authors:  Arlene B Chapman; Lisa M Guay-Woodford; Jared J Grantham; Vicente E Torres; Kyongtae T Bae; Deborah A Baumgarten; Philip J Kenney; Bernard F King; James F Glockner; Louis H Wetzel; Marijn E Brummer; W Charles O'Neill; Michelle L Robbin; William M Bennett; Saulo Klahr; Gladys H Hirschman; Paul L Kimmel; Paul A Thompson; J Philip Miller
Journal:  Kidney Int       Date:  2003-09       Impact factor: 10.612

7.  Analysis of causes of mortality in patients with autosomal dominant polycystic kidney disease: a single center study.

Authors:  Ebadur Rahman; Faraz A Niaz; Abdulkareem Al-Suwaida; Shahpar Nahrir; Mohammed Bashir; Habibur Rahman; Durdana Hammad
Journal:  Saudi J Kidney Dis Transpl       Date:  2009-09

8.  Tracking kidney volume in mice with polycystic kidney disease by magnetic resonance imaging.

Authors:  D P Wallace; Y-P Hou; Z L Huang; E Nivens; L Savinkova; T Yamaguchi; M Bilgen
Journal:  Kidney Int       Date:  2008-01-09       Impact factor: 10.612

9.  Total Kidney Volume Is a Prognostic Biomarker of Renal Function Decline and Progression to End-Stage Renal Disease in Patients With Autosomal Dominant Polycystic Kidney Disease.

Authors:  Ronald D Perrone; Mohamad-Samer Mouksassi; Klaus Romero; Frank S Czerwiec; Arlene B Chapman; Berenice Y Gitomer; Vicente E Torres; Dana C Miskulin; Steve Broadbent; Jean F Marier
Journal:  Kidney Int Rep       Date:  2017-01-16

Review 10.  ARPKD and early manifestations of ADPKD: the original polycystic kidney disease and phenocopies.

Authors:  Carsten Bergmann
Journal:  Pediatr Nephrol       Date:  2014-03-01       Impact factor: 3.714

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