Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-02-001 ISMRM Abstract

Normative T1 and T2 Relaxation Time Values of Healthy Knee Cartilage in a Single-Age, Population-Based Cohort

Accepted
Samu Majabacka 1, Egor Panfilov1,2, Antti Kemppainen1,2,3, Mika T Nevalainen1,2,3, Victor Casula1, Miika T Nieminen1,2,3
1Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
2Department of Diagnostics, Oulu University Hospital, Oulu, Finland
3Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
Presenting Author: Samu Majabacka

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Steinmetz JD, Culbreth GT, Haile LM, et al. Global, regional, and national burden of osteoarthritis, 1990–2020 and projections to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Rheumatol. 2023;5(9):e508-e522. doi:10.1016/S2665-9913(23)00163-7 [doi]
2. Chu CR, Williams AA, Coyle CH, Bowers ME. Early diagnosis to enable early treatment of pre-osteoarthritis. Arthritis Res Ther. 2012;14(3):212. doi:10.1186/ar3845 [doi]
3. Li X, Benjamin Ma C, Link TM, et al. In vivo T1ρ and T2 mapping of articular cartilage in osteoarthritis of the knee using 3 T MRI. Osteoarthritis Cartilage. 2007;15(7):789-797. doi:10.1016/j.joca.2007.01.011 [doi]
4. Dijkgraaf LC, de Bont LGM, Boering G, Liem RSB. The structure, biochemistry, and metabolism of osteoarthritic cartilage: A review of the literature. J Oral Maxillofac Surg. 1995;53(10):1182-1192. doi:10.1016/0278-2391(95)90632-0 [doi]
5. Link TM, Joseph GB, Li X. MRI-based T1rho and T2 cartilage compositional imaging in osteoarthritis: what have we learned and what is needed to apply it clinically and in a trial setting? Skeletal Radiol. 2023;52(11):2137-2147. doi:10.1007/s00256-023-04310-x [doi]
6. Lo WC, Bittencourt LK, Panda A, et al. Multicenter Repeatability and Reproducibility of MR Fingerprinting in Phantoms and in Prostatic Tissue. Magn Reson Med. 2022;88(4):1818-1827. doi:10.1002/mrm.29264 [doi]
7. Körzdörfer G, Kirsch R, Liu K, et al. Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain. Radiology. 2019;292(2):429-437. doi:10.1148/radiol.2019182360 [doi]
8. Jiang Y, Ma D, Keenan KE, Stupic KF, Gulani V, Griswold MA. Repeatability of magnetic resonance fingerprinting T1 and T2 estimates assessed using the ISMRM/NIST MRI system phantom. Magn Reson Med. 2017;78(4):1452-1457. doi:10.1002/mrm.26509 [doi]
9. Sitarcikova D, Janacova V, Gologan M, et al. Magnetic resonance fingerprinting for the whole knee articular cartilage assessment using automated pipeline. Eur Radiol. Published online July 15, 2025. doi:10.1007/s00330-025-11825-5 [doi]
10. Sharafi A, Zibetti MVW, Chang G, Cloos M, Regatte RR. MR fingerprinting for rapid simultaneous T1, T2, and T1ρ relaxation mapping of the human articular cartilage at 3T. Magn Reson Med. 2020;84(5):2636-2644. doi:10.1002/mrm.28308 [doi]
11. Kijowski R, Sharafi A, Zibetti MVW, Chang G, Cloos MA, Regatte RR. Age-Dependent Changes in Knee Cartilage T1, T2, and T1p Simultaneously Measured Using MRI Fingerprinting. J Magn Reson Imaging. 2023;57(6):1805-1812. doi:10.1002/jmri.28451 [doi]
12. Sharafi A, Zibetti MVW, Chang G, Cloos M, Regatte RR. 3D magnetic resonance fingerprinting for rapid simultaneous T1, T2, and T1ρ volumetric mapping of human articular cartilage at 3 T. NMR Biomed. 2022;35(12):e4800. doi:10.1002/nbm.4800 [doi]
13. Dataset - etsin.fairdata.fi. Accessed October 24, 2025. https://etsin.fairdata.fi/dataset/f22c6599-2293-42bd-b65a-1a77945ed613
14. Cloos MA, Assländer J, Abbas B, et al. Rapid Radial T1 and T2 Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting. J Magn Reson Imaging JMRI. 2019;50(3):810-815. doi:10.1002/jmri.26615 [doi]
15. Kellgren JH, Lawrence JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 1957;16(4):494-502. doi:10.1136/ard.16.4.494 [doi]
16. Roos MK LS Lohmander, EM. WOMAC Osteoarthritis Index: Reliability, validity, and responsiveness in patients with arthroscopically assessed osteoarthritis. Scand J Rheumatol. 1999;28(4):210-215. doi:10.1080/03009749950155562 [doi]
17. Soininen JV, Paavolainen PO, Gronblad MA, Kaapa EH. Validation study of a Finnish version of the Western Ontario and McMasters University osteoarthritis index. Hip Int J Clin Exp Res Hip Pathol Ther. 2008;18(2):108-111. doi:10.1177/112070000801800207 [doi]
18. Kapstad H, Hanestad BR, Langeland N, Rustøen T, Stavem K. Cutpoints for mild, moderate and severe pain in patients with osteoarthritis of the hip or knee ready for joint replacement surgery. BMC Musculoskelet Disord. 2008;9:55. doi:10.1186/1471-2474-9-55 [doi]
19. Hunter DJ, Guermazi A, Lo GH, et al. Evolution of semi-quantitative whole joint assessment of knee OA: MOAKS (MRI Osteoarthritis Knee Score). Osteoarthritis Cartilage. 2011;19(8):990-1002. doi:10.1016/j.joca.2011.05.004 [doi]
20. Panfilov E, Tiulpin A, Nieminen MT, Saarakkala S, Casula V. Deep learning-based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative. J Orthop Res Off Publ Orthop Res Soc. 2022;40(5):1113-1124. doi:10.1002/jor.25150 [doi]
21. Yaniv Z, Lowekamp BC, Johnson HJ, Beare R. SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research. J Digit Imaging. 2018;31(3):290-303. doi:10.1007/s10278-017-0037-8 [doi]

Cite this abstract