Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
565-05-008 ISMRM Abstract

Adaptation of an Open-Source Deep Learning Segmentation Framework for Efficient Cyst Volume Quantification in ADPKD

Primary: Body - Kidney
Secondary: Analysis Methods - Segmentation and Detection
565-05-008 · Segmentation for Body Applications · Wednesday, 13 May, 4:00 PM–4:55 PM · Digital Posters Row F
Keywords: Deep Learning Segmentation Magnetic Resonance Imaging Autosomal Dominant Polycystic Kidney Disease Total Cyst Volume
Accepted
Joseph D Rancitelli1, Neeraja Mahalingam 1,2, Rima Kang3, Caitlin Hackett4, Christopher Crabtree4,5, Ashwini Chebbi5, Jeff Volek5, Orlando Simonetti1,3,4
1Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, United States of America
2Department of Biomedical Engineering, The Ohio State University, Columbus, United States of America
3Department of Internal Medicine, Division of Nephrology, The Ohio State University Wexner Medical Center, Columbus, United States of America
4Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, United States of America
5Department of Human Sciences, The Ohio State University, Columbus, United States of America
Presenting Author: Neeraja Mahalingam

Synopsis

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References

1. Bergmann C, Guay-Woodford LM, Harris PC, Horie S, Peters DJM, Torres VE. Polycystic kidney disease. Nat Rev Dis Primers. 2018 Dec 6;4(1):50. doi: 10.1038/s41572-018-0047-y. PMID: 30523303; PMCID: PMC6592047. [doi] [pmid]
2. Prince MR, Weiss E, Blumenfeld JD. Size Matters: How to Characterize ADPKD Severity by Measuring Total Kidney Volume. J Clin Med. 2023 Sep 20;12(18):6068. doi: 10.3390/jcm12186068. PMID: 37763007; PMCID: PMC10532118. [doi] [pmid]
3. Ghanem A, Borghol AH, Munairdjy Debeh FG, Paul S, AlKhatib B, Harris PC, Garimella PS, Hanna C, Kline TL, Dahl NK, Chebib FT. Biomarkers of Kidney Disease Progression in ADPKD. Kidney Int Rep. 2024 Jul 14;9(10):2860-2882. doi: 10.1016/j.ekir.2024.07.012. PMID: 39435347; PMCID: PMC11492289. [doi] [pmid]
4. Sore R, Cathier P, Vlachomitrou AS, Bailleux J, Arnaud K, Juillard L, Lemoine S, Rouvière O. Deep learning-based segmentation of kidneys and renal cysts on T2-weighted MRI from patients with autosomal dominant polycystic kidney disease. Eur Radiol Exp. 2024 Oct 30;8(1):122. doi: 10.1186/s41747-024-00520-7. PMID: 39477840; PMCID: PMC11525362. [doi] [pmid]
5. Gregory, A.V., Anaam, D.A., Vercnocke, A.J. et al. Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning. J Digit Imaging 34, 773–787 (2021). https://doi.org/10.1007/s10278-021-00452-3. [doi]
6. Xinzi He, Zhongxiu Hu, Hreedi Dev, Dominick J. Romano, Arman Sharbatdaran, Syed I. Raza, Sophie J. Wang, Kurt Teichman, George Shih, James M. Chevalier, Daniil Shimonov, Jon D. Blumenfeld, Akshay Goel, Mert R. Sabuncu, Martin R. Prince, Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning, Academic Radiology, Volume 31, Issue 3, 2024, Pages 889-899, ISSN 1076-6332, https://doi.org/10.1016/j.acra.2023.09.009. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/565-05-008