3D-DESS MRI with CAIPIRINHA two- and fourfold acceleration for quantitatively assessing knee cartilage morphology

Glyn-Jones S, Palmer AJ, Agricola R, Price AJ, Vincent TL, Weinans H, et al. Osteoarthritis. Lancet (London, England). 2015;386(9991):376–87.

Article  CAS  PubMed  Google Scholar 

Fransen M, Bridgett L, March L, Hoy D, Penserga E, Brooks P. The epidemiology of osteoarthritis in Asia. Int J Rheum Dis. 2011;14(2):113–21.

Article  PubMed  Google Scholar 

Li X, Benjamin Ma C, Link TM, Castillo DD, Blumenkrantz G, Lozano J, et al. In vivo T(1rho) and T(2) mapping of articular cartilage in osteoarthritis of the knee using 3 T MRI. Osteoarthritis Cartilage. 2007;15(7):789–97.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gold GE, Burstein D, Dardzinski B, Lang P, Boada F, Mosher T. MRI of articular cartilage in OA: novel pulse sequences and compositional/functional markers. Osteoarthritis Cartilage. 2006;14 Suppl A:A76-86.

Article  PubMed  Google Scholar 

Kijowski R. 3D MRI of articular cartilage. Semin Musculoskelet Radiol. 2021;25(3):397–408.

Article  PubMed  Google Scholar 

Oei EHG, van Zadelhoff TA, Eijgenraam SM, Klein S, Hirvasniemi J, van der Heijden RA. 3D MRI in osteoarthritis. Semin Musculoskelet Radiol. 2021;25(3):468–79.

Article  PubMed  Google Scholar 

Wirth W, Nevitt M, Hellio Le Graverand MP, Benichou O, Dreher D, Davies RY, et al. Sensitivity to change of cartilage morphometry using coronal FLASH, sagittal DESS, and coronal MPR DESS protocols–comparative data from the Osteoarthritis Initiative (OAI). Osteoarthritis Cartilage. 2010;18(4):547–54.

Article  CAS  PubMed  Google Scholar 

Eckstein F, Hudelmaier M, Wirth W, Kiefer B, Jackson R, Yu J, et al. Double echo steady state magnetic resonance imaging of knee articular cartilage at 3 Tesla: a pilot study for the Osteoarthritis Initiative. Ann Rheum Dis. 2006;65(4):433–41.

Article  CAS  PubMed  Google Scholar 

Wright KL, Harrell MW, Jesberger JA, Landeras L, Nakamoto DA, Thomas S, et al. Clinical evaluation of CAIPIRINHA: comparison against a GRAPPA standard. J Magnet Reson Imaging. 2014;39(1):189–94.

Article  Google Scholar 

Hu J, Xu B, Cao J, Yang R, Zhang H, Guo H, et al. Application value of CAIPIRINHA-VIBE with MOCO in liver magnetic resonance examination. Eur J Radiol. 2021;140: 109739.

Article  PubMed  Google Scholar 

Fritz B, Bensler S, Thawait GK, Raithel E, Stern SE, Fritz J. CAIPIRINHA-accelerated 10-min 3D TSE MRI of the ankle for the diagnosis of painful ankle conditions: performance evaluation in 70 patients. Eur Radiol. 2019;29(2):609–19.

Article  PubMed  Google Scholar 

Fritz J, Fritz B, Thawait GG, Meyer H, Gilson WD, Raithel E. Three-dimensional CAIPIRINHA SPACE TSE for 5-minute high-resolution MRI of the knee. Invest Radiol. 2016;51(10):609–17.

Article  PubMed  Google Scholar 

Van Dyck P, Smekens C, Roelant E, Vande Vyvere T, Snoeckx A, De Smet E. 3D CAIPIRINHA SPACE versus standard 2D TSE for routine knee MRI: a large-scale interchangeability study. Eur Radiol. 2022;32(9):6456–67.

Article  PubMed  Google Scholar 

Kalia V, Fritz B, Johnson R, Gilson WD, Raithel E, Fritz J. CAIPIRINHA accelerated SPACE enables 10-min isotropic 3D TSE MRI of the ankle for optimized visualization of curved and oblique ligaments and tendons. Eur Radiol. 2017;27(9):3652–61.

Article  PubMed  Google Scholar 

Hou B, Li Y, Xiong Y, Morelli JN, Wang J, Liu C, et al. Comparison of CAIPIRINHA-accelerated 3D fat-saturated-SPACE MRI with 2D MRI sequences for the assessment of shoulder pathology. Eur Radiol. 2022;32(1):593–601.

Article  CAS  PubMed  Google Scholar 

Zhang P, Yu B, Zhang R, Chen X, Shao S, Zeng Y, et al. Longitudinal study of the morphological and T2* changes of knee cartilages of marathon runners using prototype software for automatic cartilage segmentation. Br J Radiol. 2021;94(1119):20200833.

Article  PubMed  PubMed Central  Google Scholar 

Liu L, Liu H, Zhen Z, Zheng Y, Zhou X, Raithel E, et al. Analysis of knee joint injury caused by physical training of freshmen students based on 3T MRI and automatic cartilage segmentation technology: a prospective study. Front Endocrinol. 2022;13: 839112.

Article  Google Scholar 

Hou W, Zhao J, He R, Li J, Ou Y, Du M, et al. Quantitative measurement of cartilage volume with automatic cartilage segmentation in knee osteoarthritis. Clin Rheumatol. 2021;40(5):1997–2006.

Article  PubMed  Google Scholar 

Zhang P, Zhang RX, Chen XS, Zhou XY, Raithel E, Cui JL, et al. Clinical validation of the use of prototype software for automatic cartilage segmentation to quantify knee cartilage in volunteers. BMC Musculoskelet Disord. 2022;23(1):19.

Article  PubMed  PubMed Central  Google Scholar 

Juras V, Szomolanyi P, Schreiner MM, Unterberger K, Kurekova A, Hager B, et al. Reproducibility of an automated quantitative MRI assessment of low-grade knee articular cartilage lesions. Cartilage. 2021;13(1_suppl):646s–57s.

Article  CAS  PubMed  Google Scholar 

Ramme AJ, Guss MS, Vira S, Vigdorchik JM, Newe A, Raithel E, et al. Evaluation of automated volumetric cartilage quantification for hip preservation surgery. J Arthroplasty. 2016;31(1):64–9.

Article  PubMed  Google Scholar 

Recht MP, Kramer J, Marcelis S, Pathria MN, Trudell D, Haghighi P, et al. Abnormalities of articular cartilage in the knee: analysis of available MR techniques. Radiology. 1993;187(2):473–8.

Article  CAS  PubMed  Google Scholar 

Fripp J, Crozier S, Warfield SK, Ourselin S. Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee. IEEE Trans Med Imaging. 2010;29(1):55–64.

Article  PubMed  Google Scholar 

Ebrahimkhani S, Jaward MH, Cicuttini FM, Dharmaratne A, Wang Y, de Herrera AGS. A review on segmentation of knee articular cartilage: from conventional methods towards deep learning. Artif Intell Med. 2020;106: 101851.

Article  PubMed  Google Scholar 

Eckstein F, Cicuttini F, Raynauld JP, Waterton JC, Peterfy C. Magnetic resonance imaging (MRI) of articular cartilage in knee osteoarthritis (OA): morphological assessment. Osteoarthritis Cartilage. 2006;14 Suppl A:A46-75.

Article  CAS  PubMed  Google Scholar 

Martel-Pelletier J, Paiement P, Pelletier JP. Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis diagnosis and prognosis. Ther Adv Musculoskelet Dis. 2023;15:1759720x231165560.

Article  PubMed  PubMed Central  Google Scholar 

Friedrich KM, Reiter G, Kaiser B, Mayerhöfer M, Deimling M, Jellus V, et al. High-resolution cartilage imaging of the knee at 3T: basic evaluation of modern isotropic 3D MR-sequences. Eur J Radiol. 2011;78(3):398–405.

Article  PubMed  Google Scholar 

Peterfy CG, Schneider E, Nevitt M. The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee. Osteoarthritis Cartilage. 2008;16(12):1433–41.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Liu L, Wu G. Three-dimensional SPACE MR with CAIPIRINHA fourfold acceleration for assessing long head of biceps tendon. Acta Radiol (Stockholm, Sweden : 1987). 2021:2841851211055324.

Chaudhari AS, Stevens KJ, Wood JP, et al. Utility of deep learning super-resolution in the context of osteoarthritis MRI biomarkers[J]. J Magn Reson Imaging. 2020;51(3):768–79.

Article  PubMed  Google Scholar 

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