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Updated: Apr 9, 2026

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
Published on: June 23, 2015
Cystic kidney disease: a primer
Monica T Cramer1, Lisa M Guay-Woodford1
1Division of Pediatric Nephrology, Children's Hospital of Alabama, Birmingham, AL; Center for Translational Science, Children's National Health System, Washington, DC.
Renal cystic diseases vary widely and can appear at any age. This review categorizes these conditions by genetic, syndromic, and non-genetic causes, aiding diagnosis and management.
Area of Science:
- Nephrology
- Medical Genetics
- Pediatric Nephrology
Background:
- Renal cystic diseases present with diverse phenotypes across all age groups.
- Clinical features, imaging, and extrarenal manifestations aid in distinguishing these disorders.
- Context is crucial; solitary cysts in adults may differ from those in children.
Purpose of the Study:
- To review and categorize renal cystic diseases.
- To provide an overview of clinical characteristics, genetics, pathogenesis, diagnosis, and management.
- To present a diagnostic algorithm for kidney cysts.
Main Methods:
- Categorization of renal cystic diseases into inherited single-gene, syndromic, and non-genetic forms.
- Review of clinical characteristics, genetics, molecular pathogenesis, diagnosis, and management.
- Development of a clinical feature-based algorithm for distinguishing kidney cysts.
Main Results:
- Renal cystic diseases are classified into inherited single-gene (e.g., autosomal recessive polycystic kidney disease), syndromic (e.g., tuberous sclerosis complex), and non-genetic (e.g., simple kidney cysts) categories.
- Detailed insights into clinical presentation, genetic basis, pathogenesis, and diagnostic/management strategies are provided.
- A practical algorithm is proposed to aid in differentiating kidney cysts based on clinical findings.
Conclusions:
- Effective management of renal cystic diseases requires understanding their varied presentations and underlying causes.
- The proposed classification and diagnostic algorithm can assist practitioners in evaluating and managing patients with kidney cysts.
- Further research into specific genetic and molecular mechanisms will refine diagnostic and therapeutic approaches.
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