Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
407-04-009 / 271-01-036 ISMRM Abstract

Quantification of Infrapatellar Fat Pad Fatty Acid Composition across ACLR and KOA Cohorts using CSE-MRI at 5T

Primary: Musculoskeletal - Whole Joint
Secondary: Musculoskeletal - Osteoarthritis
407-04-009 · New Outcome Measures for Studying the Joint · Tuesday, 12 May, 4:00 PM–5:50 PM · Meeting Room 1.40
271-01-036 · ISMRM AMPC Selected Posters · Sunday, 10 May, 7:00 AM–2:00 PM · Traditional Posters
Keywords: Fat and Fat/Water Separation Knee Osteoarthritis Infrapatellar fat pad Fat Quantification Anterior Cruciate Ligament (ACL)
Accepted
Siyi Wu1, Luoyong Jiang2, Chuanli Cheng3, Luyao Ma3, Hanyu YAO4, Xin Gao4, Chao Zou3, Xin Liu3, Hairong Zheng3, Liwen Wan1
1Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
2Department of Orthopedics, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
3Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
4Department of Sports Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
Presenting Author: Ganghan Yang

Synopsis

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References

1. Wang Z, Lu J, Li Z, et al. Qualitative and quantitative measures in the infrapatellar fat pad in older adults: associations with knee pain, radiographic osteoarthritis, kinematics, and kinetics of the knee. Acad Radiol. 2024;31(8):3315-3326.
2. Pereira Herrera B, Emanuel K, Emans PJ, et al. Infrapatellar fat pad as a source of biomarkers and therapeutic target for knee osteoarthritis. Arthritis Res Ther. 2025;27:81. doi:10.1186/s13075-025-03517-8. [doi]
3. Zhou B, Wu J, Zhao T, et al. Quantification of infrapatellar fat pad fibrosis using magnetic resonance imaging-derived proton density fat fraction: a pathology-controlled study. Quant Imaging Med Surg. 2025;15(4):2694-2706. doi:10.21037/qims-24-2021 [doi]
4. Echols JT, Wang S, Patel AR, Hogwood AC, Abbate A, Epstein FH. Fatty acid composition MRI of epicardial adipose tissue: Methods and detection of proinflammatory biomarkers in ST-segment elevation myocardial infarction patients. Magn Reson Med. 2025;93(2):519-535. doi:10.1002/mrm.30285 [doi]
5. Cheng C, Zou C, Liang C, et al. Fat-water separation using a region-growing algorithm with self-feeding phasor estimation. Magn Reson Med. 2017;77(6):2390-2401.
6. Chen H, Zhang L, Shi X, et al. Evaluation of osteoarthritis disease burden in China during 1990–2019 and forecasting its trend over the future 25 years. Arthritis Care Res (Hoboken). 2024;76(7):1006-1017.
7. Li J, Fu S, Gong Z, et al. MRI-based texture analysis of infrapatellar fat pad to predict knee osteoarthritis incidence. Radiology. 2022;304(3):611-621. doi:10.1148/radiol.212009. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/407-04-009