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Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study

1
Department of Radiology, Allegheny Health Network, Pittsburgh, PA 15212, USA
2
Department of Radiology, UT Health East Texas, Tyler, TX 75701, USA
3
Department of Radiology, Atrius Health, Boston, MA 02189, USA
4
Department of Radiology, New York Presbyterian, New York, NY 10021, USA
5
Department of Nephrology and Hypertension, Weill Cornell Medicine, New York, NY 10021, USA
6
Department of Radiology, Mount Sinai West, New York, NY 10019, USA
*
Author to whom correspondence should be addressed.
Tomography 2021, 7(4), 573-580; https://doi.org/10.3390/tomography7040049
Received: 11 June 2021 / Revised: 1 October 2021 / Accepted: 6 October 2021 / Published: 10 October 2021
Autosomal dominant polycystic kidney disease (ADPKD) eventually leads to end stage renal disease (ESRD) with an increase in size and number of cysts over time. Progression to ESRD has previously been shown to correlate with total kidney volume (TKV). An accurate and relatively simple method to perform measurement of TKV has been difficult to develop. We propose a semi-automated approach of calculating TKV inclusive of all cysts in ADPKD patients based on b0 images relatively quickly without requiring any calculations or additional MRI time. Our purpose is to evaluate the reliability and reproducibility of our method by raters of various training levels within the environment of an advanced 3D viewer. Thirty patients were retrospectively identified who had DWI performed as part of 1.5T MRI renal examination. Right and left TKVs were calculated by five radiologists of various training levels. Interrater reliability (IRR) was estimated by computing the intraclass correlation (ICC) for all raters. ICC values calculated for TKV measurements between the five raters were 0.989 (95% CI = (0.981, 0.994), p < 0.01) for the right and 0.961 (95% CI = (0.936, 0.979), p < 0.01) for the left. Our method shows excellent intraclass correlation between raters, allowing for excellent interrater reliability. View Full-Text
Keywords: b0; kidney volume; polycystic kidney disease; MRI b0; kidney volume; polycystic kidney disease; MRI
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MDPI and ACS Style

Roudenko, A.; Mahmood, S.; Du, L.; Gunio, D.; Barash, I.; Doo, F.; Slutzky, A.; Kukar, N.; Friedman, B.; Kagen, A. Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study. Tomography 2021, 7, 573-580. https://doi.org/10.3390/tomography7040049

AMA Style

Roudenko A, Mahmood S, Du L, Gunio D, Barash I, Doo F, Slutzky A, Kukar N, Friedman B, Kagen A. Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study. Tomography. 2021; 7(4):573-580. https://doi.org/10.3390/tomography7040049

Chicago/Turabian Style

Roudenko, Alexandra, Soran Mahmood, Linda Du, Drew Gunio, Irina Barash, Florence Doo, Alon Slutzky, Nina Kukar, Barak Friedman, and Alexander Kagen. 2021. "Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images—A Feasibility Study" Tomography 7, no. 4: 573-580. https://doi.org/10.3390/tomography7040049

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