ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Osteoarthritis

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Osteoarthritis
Digital Poster
Musculoskeletal
Thursday, 15 May 2025
Exhibition Hall
14:15 -  15:15
Session Number: D-137
No CME/CE Credit

 
Computer Number: 97
4681. Reliability and Validity of Novel Multi-View, Whole-Knee Effusion-Synovitis Quantification with Axial and Sagittal Segmentation on 3T Knee MRI
G. Gilles, D. Robles, L. Grawer, N. Christiansen, R. R. Tang, M. Taljanovic, J. Duryea, E. Bedrick, C. Kwoh
University of Arizona College of Medicine, Tucson, United States
Impact: Our results have broad public health impact, given the prevalence of knee osteoarthritis. Our next step involves precise quantification and localization of effusion-synovitis on large datasets to identify early disease stage progressors, facilitating the development of targeted treatments and prevention.
 
Computer Number: 98
4682. MR Learned Pulse Sequence on Bi-Exponential 3D T2 and T1rho Mapping of Healthy and Early Knee Osteoarthritis: Linear Discriminant Analysis
M. Zibetti, H. De Moura, A. Monga, D. Singh, J. Samuels, R. Regatte
NYU Langone Health, New York, United States
Impact: Learned pulse sequences are useful for early OA detection, with T1ρ outperforming T2 mapping. Results indicate that BE models can be advantageous if linear discriminant analysis and the proper threshold are used.
 
Computer Number: 99
4683. Assessing the Central Analgesic Mechanisms of Tuina in Knee Osteoarthritis Using Magnetic Resonance Imaging
Y. Zhang, K. Zhang, H. Wang, X. Zeng, L. Liu, G. Guo, H. Wang
Fudan University, Shanghai, China
Impact: This study highlights tuina's analgesic effects in KOA, potentially transforming pain management practices. It raises new questions about integrating traditional therapies into clinical settings, enhancing understanding of pain mechanisms, and improving outcomes for patients with chronic pain conditions.
 
Computer Number: 100
4684. Evaluation of Articular Cartilage in Knee Osteoarthritis Using Macromolecular Proton Fraction Mapping
M. Ariki, Y. Fujiwara, M. Mio
Kumamoto University, Kumamoto, Japan
Impact: The findings of this study suggest that MPF measurements may be useful for diagnosing OA, as they reflect macromolecular degeneration in knee cartilage.
 
Computer Number: 101
4685. Assessing the Repeatability of Quantitative MRI Biomarkers for Osteoarthritis in Knee Cartilage
D. Martel, A. Adlung, G. Madelin, T. Kirsch, A. Ruiz
NYU Grossman School of Medicine, New York, United States
Impact: This study underscores the potential of T1rho and MD as repeatable, non-invasive MRI biomarkers for tracking knee cartilage health in OA patients. These findings could guide earlier interventions, inform treatment strategies, and enhance OA monitoring in clinical settings.
 
Computer Number: 102
4686. Knee Osteoarthritis DTI using Deep Learning Reconstruction: A Prospective Study on Quantitative Accuracy and Diagnostic Efficacy
X. Wu, W. Liu, Y. Zha
Renmin Hospital of Wuhan University, Wuhan, China
Impact: The application of deep learning reconstruction technology to select the appropriate acceleration factor can significantly shorten the acquisition time of DTI sequence images of the knee joint  with good test-retest repeatability. 
 
Computer Number: 103
4687. Association between Knee and Hip Bone Shape Asymmetries and Contralateral Knee Cartilage Health in Patients with Hip Osteoarthritis
R. Thahakoya, R. Bhattacharjee, M. Han, R. Souza, S. Majumdar
University of California San Francisco, San Francisco, United States
Impact: The inter joint parameter relations helpful to enhance our understanding of the interrelated nature of joint health, particularly how bone shape asymmetries in the hip and knee may contribute to the progression of Knee OA.
 
Computer Number: 104
4688. T1, T1ρ and T2* mapping of menisci using UTE imaging in patients six months after anterior cruciate ligament reconstruction
M. Krämer, H. Schulz, A. Nepal, N. Faber, S. Oehme, T. Jung, G. Duda, F. Güttler, J. Reichenbach, N. Brisson
Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
Impact: UTE-based quantitative MRI enables objective quantification of meniscal integrity – by comparing knees at high risk of developing OA versus healthy knees. Our approach may be used to detect patients with early meniscal degenerative changes, precursing post-traumatic knee osteoarthritis.
 
Computer Number: 105
4689. Age-related microstructural changes in skeletal muscle by diffusion microstructural imaging and its application in knee osteoarthritis
Y. Wang, Y. Yang, R. Liao, J. Liu, X. Zhang, Y. Chen, D. Han, Z. Zhang, X. Zhang, X. Zhang
Department of Medical Imaging, The Third Affiliated Hospital Southern Medical University, Guangzhou, China
Impact: NODDI effectively reveals microstructural changes in thigh muscles during the early stages of KOA, offering insights into alterations in myofibrils. This technique quantifies nerve fiber density and orientation, thereby providing additional information regarding muscle changes in pathological conditions.
 
Computer Number: 106
4690. Quantification of Infrapatellar fat pad fibrosis using MRI-derived PDFF: A pathology-controlled study
B. Zhou, J. Wu, T. Zhao, Q. Yu, K. Jiang, X. Zhang, Q. Wei, R. Zhang, H. F. Fang, H. Zhang, Y. Chen, X. Zhang, C. Huang
Department of Radiology,The Third Affiliated Hospital, Southern Medical, Guang zhou, China
Impact: PDFF and T2* measurements based on mDixon technology provide a non-invasive and quantitative assessment of IPFP fibrosis, especially PDFF.
 
Computer Number: 107
4691. Quantification of the Thigh Skeletal Muscle Creatine Content in Asymptomatic Individuals and Patients with Knee Osteoarthritis
Y. Wang, T. Zhong, X. Zhang, Y. Chen, J. Chen, R. Liao, Y. Chen, Z. Zhang, Y. Wu, X. Zhang
Department of Medical Imaging, The Third Affiliated Hospital Southern Medical University, Guangzhou, China
Impact: Thigh muscle creatine levels vary among people and are affected by exercise intensity. Lower creatine levels are linked to more muscle fat fraction, indicating a possible link to fat metabolism and energy production, as well as oxidative stress management.
 
Computer Number: 108
4692. Diffusion Tensor Imaging in Diseased Human Meniscus
N. Tod, S. Salem, R. Hu, S. Tabassam, J. Chen, Z. Liu, Y. Xia, N. Wang
The University of Texas Southwestern Medical Center, Dallas, United States
Impact: DTI (diffusion tensor imaging) shows great potential in detecting changes to the microstructure of human menisci at various stages of degeneration. This technique may allow for more precise pathological evaluation and treatment selection for patients suffering from degenerative joint disease.
 
Computer Number: 109
4693. Early Detection of Osteoarthritis in the Knee Using Echo Modulation Curve-based T2 Mapping: Analysis in the Osteoarthritis Initiative Dataset.
E. Marchetto, E. Montin, G. Koerzdoerfer, V. Mazzoli, O. Cigdem, C. Deniz, N. Ben-Eliezer, R. Lattanzi
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, United States
Impact: EMC T2 fitting shows higher reproducibility and sensitivity in detecting early OA in the knee cartilage compared to mono-exponential models, suggesting that accurate T2 estimation  can help identifying  cartilage changes before radiographic evidence, potentially enabling earlier intervention strategies.
 
Computer Number: 110
4694. Exploratory Investigation on Bone-Muscle-Cartilage Relationships in Knee Osteoarthritis
F. Belibi, Y. Vainberg, G. Gold, F. Kogan, A. Goyal
Stanford University, Stanford, United States
Impact: More studies analyzing the muscle-bone-cartilage relationships can further expand on this theory and help in understanding the whole joint nature of OA.
 
Computer Number: 111
4695. Quantitative Ultrashort Echo Time MR Imaging of Osteochondral Junction in Knee Osteoarthritis
D. Moazamian, M. Dastkareh, J. Athertya, S. Jerban, A. Suprana, A. Lombardi, E. Chang, J. Du, Y. Ma
UCSD, San Diego, United States
Impact: UTE-MTR mapping of the osteochondral junction offers a quantitative tool to assess cartilage degeneration in osteoarthritis patients. This technique could improve early diagnosis and provide insights into cartilage health, potentially aiding in better management and monitoring of osteoarthritis progression.
 
Computer Number: 112
4696. Patient characterization at baseline using multiparametric MRI at 7T for cartilage anabolic drug testing in osteoarthritis
D. Laurent, P. Szomolanyi, O. Zaric, V. Juras, E. Steijvers, A. Meijs, N. Klarenbeek, K. Burggraaf, U. Schramm, J. Li, Y. Gschwind, E. Raithel, F. Saxer, M. Schieker, S. Trattnig
Novartis Pharma AG, Department of Translational Medicine , Basel, Switzerland
Impact: The results of this study  have implications for clinical trials on cartilage drugs in OA, where new imaging endpoints should be considered due to a small sample size and short duration of treatment.
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