Regional cyst concentration as a prognostic biomarker for polycystic kidney disease

Joshua D. Warner; Maria V. Irazabal; Vicente E. Torres; Bernard F. King; Bradley J. Erickson

doi:10.1117/12.2044220

13 March 2014 Regional cyst concentration as a prognostic biomarker for polycystic kidney disease

Joshua D. Warner, Maria V. Irazabal, Vicente E. Torres, Bernard F. King, Bradley J. Erickson

Proceedings Volume 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging; 903804 (2014) https://doi.org/10.1117/12.2044220
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

Polycystic kidney disease (PKD) is a major cause of renal failure. Despite recent advances in understanding the biochemistry and genetics of PKD, the functional mechanisms underpinning the declines in renal function observed in the disorder are not well established. No studies investigating the distribution of cysts within polycystic kidneys exist. This work introduces regional cyst concentration as a new biomarker for evaluation of patients suffering from PKD. We derive a method to define central and peripheral regions of the kidney, approximating the anatomical division between cortex and medulla, and apply it to two cohorts of ten patients with early/mild or late/severe disease. Our results from the late/severe cohort show peripheral cyst concentration correlates with the current standard PKD biomarker, total kidney volume (TKV), signi cantly better than central cyst concentration (p < 0.05). We also find that cyst concentration was globally increased in the late/severe cohort (p << 0.01) compared to the early/mild cohort, for both central and peripheral regions. These findings show cysts in PKD are not distributed homogeneously throughout the renal tissues.

Citation Download Citation

Joshua D. Warner, Maria V. Irazabal, Vicente E. Torres, Bernard F. King, and Bradley J. Erickson "Regional cyst concentration as a prognostic biomarker for polycystic kidney disease", Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 903804 (13 March 2014); https://doi.org/10.1117/12.2044220

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KEYWORDS

Kidney

Magnetic resonance imaging

Image analysis

Tissues

Data acquisition

Image segmentation

Clinical trials

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