Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Oral

New Outcome Measures for Studying the Joint

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New Outcome Measures for Studying the Joint
Oral
Musculoskeletal
Tuesday, 12 May 2026
Meeting Room 1.40
16:00 - 17:50
Moderators: Casey Johnson
Session Number: 407-04
No CME/CE Credit
Methods for studying tissue microstructure, composition, shape and function in the joint beyond cartilage

16:00 Figure 407-04-001.  The Impact of Age, Sex, BMI, and OA Status on Meniscus UTE-T2* Relaxation Times and Volumes
Ananya Goyal, Yael Vainberg, Rachel Shalit, Feliks Kogan
Stanford University, Stanford, United States of America
Impact: Quantitative UTE-T2* mapping sensitively detects meniscal microstructural changes associated with aging, sex, and osteoarthritis. These findings show the utility of UTE-T2* as a noninvasive biomarker of early joint degeneration, enabling improved detection and monitoring of meniscal health in osteoarthritis.
16:11 Figure 407-04-002.  3D T2* Mapping Detects Persistent Meniscal Collagen Disorganization and Extrusion After Medial Meniscus Posterior Root Tear
Abdul Wahed Kajabi, Karsten Knutsen, Eisa Hedayati, Collin Steinberger, Abhinav Lamba, Stefan Zbyn, Asif Abul Hassan, Hassan Ahad, Luke Tollefson, Takashi Takahashi, Gregory Metzger, Rob LaPrade, Jutta Ellermann
Center for Magnetic Resonance Research, Dept. of Radiology, University of Minnesota, Minneapolis, United States of America
Impact: Persistently elevated T2* values after medial meniscus root repair and their correlation with postoperative meniscal extrusion suggest delayed restoration of the collagen fiber network, highlighting the need for precise monitoring of healing and tailored surgical interventions to mitigate the extrusion.
16:22 Figure 407-04-003.  Linking Neuronal Activity with Cartilage Degeneration in Early Knee Osteoarthritis: Comparison with T1ρ Mapping
Anmol Monga, Hector Lise de Moura, Yongxian Qian, Jonathan Samuels, Ravinder Regatte
NYU Grossman School of Medicine, New York, United States of America
Impact: Quantum-sensing MRI allows noninvasive detection of neuronal firing associated with cartilage degeneration and pain in knee osteoarthritis, highlighting its potential as a biomarker for early diagnosis, objective pain assessment, and therapy monitoring.
16:33 Figure 407-04-004.  Normative quantitative UTE MRI of the anterior cruciate ligament at 3 T: demographic stability across 56 healthy knees.
Magna Cum Laude
Maik Rothe, Richard Brill, Walter Wohlgemuth, Alexander Gussew
Medical Physics Group, University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Germany
Impact: This study establishes robust normative UTE-derived ACL biomarkers, demonstrating demographic stability across age and sex and introducing an effect-size–based framework that strengthens quantitative study design and enables early, reliable differentiation between physiological and pathological ligament changes.
16:44 Figure 407-04-005.  Increased Frequency of High-Intensity Physical Activity Associates with OA-like Changes to Femoral Bone Shape Following ACLR
Ashley Williams, Anthony Gatti, Anoosha Pai S, Jade He, Constance Chu
Stanford Medicine, Stanford, United States of America
Impact: Neural shape modeling-based bone shape scores suggest that frequently engaging in high-intensity physical activities within the first 2 years following ACL reconstruction may have negative consequences for bone shape remodeling leading to development of osteoarthritis-like bone shape features.
16:55 Figure 407-04-006.  Semiquantitative MRI scores and CNR correlate with bone quality (histology and micro-CT) after osteochondral implantation
Magna Cum Laude
Felix Merlin König, Veronika Janacova, Markus Schreiner, Marlene Stuempflen, Vladimir Juras, Pavol Szomolanyi, Janina Patsch, Giuseppe Filardo, Ali Guermazi, Siegfried Trattnig
Medical University of Vienna, Vienna, Austria
Impact: By demonstrating strong correlations between MRI signal intensity and bone regeneration metrics, this study highlights MRI as a novel, radiation-free, non-invasive method for evaluating bone healing post-implantation, potentially enhancing patient monitoring and improving outcomes in both research and clinical care
17:06 Figure 407-04-007.  Quantitative Assessment of the Infrapatellar Fat Pad after ACLR Based on mDIXON-Quant Technology
Chenxi Huang, Jinze Dong, Zhongyan Xu, Yiou Wang, Qinglin Xie, youbin Ding, Zhongping Zhang, Peng Wu, Xiaodong Zhang
The First Clinical Medical School of Southern Medical University, Guangzhou, China
Impact: The mDIXON-Quant technique not only provides a novel quantitative tool for assessing IFP after ACLR but also offers a scientific basis for a deeper understanding of postoperative pathological changes and their relationship with functional recovery.
17:17 Figure 407-04-008.  Repeatability and Regional Variability of Knee Fatty Acid Composition from CSE-MRI at 3T
Dimitri Martel, Anne Adlung, Guillaume Madelin, Thorsten Kirsch, Richard Kijowski, Amparo Ruiz
New York University Langone Health, New York, United States of America
Impact: CSE-MRI yields repeatable PDFF and fatty-acid composition maps in the knee, defining quantitative thresholds for measuring longitudinal changes. These benchmarks enable metabolic phenotyping of osteoarthritis beyond structure, supporting clinical trials targeting inflammation and lipid remodeling.
17:28 Figure 407-04-009.  Quantification of Infrapatellar Fat Pad Fatty Acid Composition across ACLR and KOA Cohorts using CSE-MRI at 5T
AMPC Selected
Siyi Wu, Luoyong Jiang, Chuanli Cheng, Luyao Ma, Hanyu YAO, Xin Gao, Chao Zou, Xin Liu, Hairong Zheng, Liwen Wan
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Impact: Joint quantification of PDFF, FAC, and R2* of IPFP using CSE-MRI can reveal disease differences between KOA and ACLR, supporting their potential use as non-invasive biomarkers for prognosis, early surveillance, and personalized intervention.
17:39   407-04-010.  Guided Discussion
Casey Johnson
University of Minnesota, Minneapolis, United States of America

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