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Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
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Prognostication in Autosomal Dominant Polycystic Kidney Disease: Current Tools, Clinical Gaps, and Future Directions

Jeniffer Min1, Claire Zhu1, Liv Palma2

  • 1Columbia University, New York, NY, USA.

Kidney360
|August 3, 2026
PubMed

Insights

Predicting Autosomal Dominant Polycystic Kidney Disease (ADPKD) outcomes is challenging due to disease variability. Future tools will integrate AI imaging, genetics, and biomarkers for better patient guidance.

Area of Science:

  • Nephrology
  • Genetics
  • Medical Imaging

Background:

  • Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common inherited kidney disease.
  • Clinical outcomes in ADPKD are highly variable, posing challenges for prognosis and patient management.
  • Current prognostic tools, including imaging and genetic scores, have limitations, especially in advanced disease or accounting for intrafamilial variability.

Purpose of the Study:

  • To address limitations of current ADPKD prognostic tools.
  • To explore novel approaches for predicting individual patient outcomes in ADPKD.
  • To highlight the need for integrated, multimodal prognostic frameworks.

Main Methods:

  • Review of existing imaging-based and genetic scoring systems for ADPKD prognosis.
  • Discussion of emerging technologies: genome-wide polygenic scores (GPS) and AI-driven imaging analysis.
  • Exploration of future directions involving multimodal data integration.

Main Results:

  • Unimodal prognostic approaches (imaging or genetics alone) have inherent limitations.
  • AI-enhanced imaging can capture complex cyst architecture and parenchymal changes.
  • Genome-wide polygenic scores offer a broader genetic risk assessment.

Conclusions:

  • Multimodal prognostic frameworks integrating AI imaging, genomics, clinical factors, and biomarkers are the future of ADPKD prognostication.
  • Integrated tools promise more consistent and actionable guidance for treatment and shared decision-making.
  • Improved prognostication can reduce patient distress and optimize clinical management of ADPKD.

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