Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
463-01-013 ISMRM Abstract

3-Dimensional segmentation and radiomic feature detection of lymphedema treatment changes based on MR imaging

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Musculoskeletal - Other Musculoskeletal
463-01-013 · Data-Driven Reconstruction: From Networks to Clinical Practice · Tuesday, 12 May, 8:20 AM–9:15 AM · Digital Posters Row D
Keywords: Radiomics Lymphedema Automated segmentation Deep Learning Segmentation Extremity imaging
Accepted
Charissa Kim 1, Qianhui Dou2, Christopher Bridge2, Nathaniel Mercado2, Mahmoud Odeh1, Madeleine Givant3, Katja De Paepe1, Angie Sohn2, Dhruv Singhal3, Leo L Tsai2
1Department of Radiology, Beth Israel Deaconess Medical Center, Boston, United States of America
2Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
3Department of Plastic Surgery, Beth Israel Deaconess Medical Center, Boston, United States of America
Presenting Author: Charissa Kim

Synopsis

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References

1. Rockson SG. Advances in Lymphedema. Circ Res. Jun 11 2021;128(12):2003-2016. doi:10.1161/CIRCRESAHA.121.318307 [doi]
2. Zeltzer AA, Anzarut A, Hamdi M. A Review of Lymphedema for the Hand and Upper-Extremity Surgeon. J Hand Surg Am. Nov 2018;43(11):1016-1025. doi:10.1016/j.jhsa.2018.03.054 [doi]
3. Warren AG, Brorson H, Borud LJ, Slavin SA. Lymphedema: a comprehensive review. Ann Plast Surg. Oct 2007;59(4):464-72. doi:10.1097/01.sap.0000257149.42922.7e [doi]
4. O'Donnell TF, Jr., Allison GM, Iafrati MD. A systematic review of guidelines for lymphedema and the need for contemporary intersocietal guidelines for the management of lymphedema. J Vasc Surg Venous Lymphat Disord. Jul 2020;8(4):676-684. doi:10.1016/j.jvsv.2020.03.006 [doi]
5. Beederman M, Chang DW. Advances in surgical treatment of lymphedema. Arch Plast Surg. Nov 2021;48(6):670-677. doi:10.5999/aps.2021.01445 [doi]
6. Kim C, Ali H, Tsai LL, et al. Evaluation of Primary Lymphedema with Intranodal Lymphangiography. Cardiovasc Intervent Radiol. Feb 2024;47(2):238-244. doi:10.1007/s00270-023-03605-9 [doi]
7. Babapour S, Lee C, Kim E, et al. Changes on noncontrast magnetic resonance imaging following lymphatic surgery for upper extremity secondary lymphedema. J Vasc Surg Venous Lymphat Disord. Jan 2025;13(1):101962. doi:10.1016/j.jvsv.2024.101962 [doi]
8. Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods. Feb 2021;18(2):203-211. doi:10.1038/s41592-020-01008-z [doi]
9. van Griethuysen JJM, Fedorov A, Parmar C, et al. Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Res. Nov 1 2017;77(21):e104-e107. doi:10.1158/0008-5472.CAN-17-0339 [doi]

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http://echo.ismrm.org/p/ISMRM2026/463-01-013