13:30 | | IntroductionEdwin Oei Erasmus MC - University Medical Center, Netherlands |
13:42 | 0511.
| TEXTURE ANALYSIS OF CARTILAGE REPAIR TISSUE MATURATION - COMPARISON OF TWO CARTILAGE REPAIR METHODS AND CORRELATION WITH MOCART 2.0 Veronika Janacova1,2, Vladimir Juras 1, Pavol Szomolanyi1,3, Diana Sitarcikova1, Alexandra Kirner4, and Siegfried Trattnig1,2,5,6 1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2CD Laboratory for MR Imaging Biomarkers (BIOMAK), Vienna, Austria, 3Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia, 4TETEC Tissue Engineering Technologies AG, Reutlingen, Germany, 5Austrian Cluster for Tissue Regeneration, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Vienna, Austria, 6Institute for Clinical Molecular MRI in the Musculoskeletal System, Karl Landsteiner Society, Vienna, Austria Keywords: Cartilage, Cartilage, Repair, Tissue, Maturarion Motivation: To monitor patients after cartilage repair surgery, non-invasive imaging techniques are needed. Goal(s): Study aimed to monitor cartilage repair tissue for up to two years post-surgery using GLCM analysis of T2 maps to assess tissue structure and correlate it with the morphological MOCART 2.0 score. Approach: 37 patients underwent either matrix-associated autologous chondrocyte transplantation or microfracturing. ROI’s were drawn onto T2 maps at three time-points. GLCM features, mean T2 and MOCART 2.0 scores were calculated and analysed. Results: We found correlations between GLCM features and the MOCART 2.0 score, with significant changes in texture of the repair tissue over time for transplant patients. Impact: This study reveals a correlation between GLCM and MOCART 2.0 in autologous chondrocyte transplantation and microfracturing. Only chondrocyte transplants showed significant tissue development over time, indicating complex maturation. These findings will impact patient monitoring in clinical trials after cartilage repair. |
13:54 | 0512.
| Platelet Rich Plasma Effects on Knee Cartilage and Osteoarthritis Symptoms: T2, UTE-T2* and Patient Reported Outcomes Over 6-months Follow-Up Ashley Anne Williams1,2, Daniella Asare2, Holly L Torres2, and Constance R Chu1,2 1Orthopaedic Surgery, Stanford Univesity, Stanford, CA, United States, 2Joint Preservation Center, Palo Alto Veterans Healthcare System, Palo Alto, CA, United States Keywords: Osteoarthritis, Cartilage, UTE-T2* Motivation: Clinical evidence of structural benefits to cartilage from Platelet Rich Plasma (PRP) injections to treat knee osteoarthritis is lacking. Goal(s): Our goal was to use T2 and UTE-T2* relaxation times to assess cartilage structural improvements following PRP therapy. Approach: Patient reported outcomes, T2 and UTE-T2* maps were acquired before and 6 months after completion of PRP treatment in 50 patients with symptomatic knee osteoarthritis. Results: On average, participants reported symptomatic improvements following PRP. Significant changes to cartilage T2 and UTE-T2* were also observed. Improvements in patient-reported knee function and stiffness correlated to concurrent decreases in both T2 and UTE-T2*. Impact: qMRI evaluation of the
clinical efficacy of PRP treatment of symptomatic knee OA shows that changes to
patient reported knee function associate with concurrent changes to cartilage
structure assessed with T2 and UTE-T2*. |
14:06 | 0513.
| Positive Effect of Weight Loss on Knee Articular Cartilage – a Three-Year Follow-Up Using T2 Relaxation Time Eetu Mäkelä1, Victor Casula1, Ahti Kemppainen1, Marianne Haapea2, and Miika T Nieminen1,3 1Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland, 2Research Service Unit, Oulu University Hospital, Oulu, Finland, 3Department of Radiology, Oulu University Hospital, Oulu, Finland Keywords: Cartilage, Osteoarthritis, Relaxometry Motivation: Weight loss has been shown to be beneficial for knee symptoms and reducing cartilage degeneration. Goal(s): To examine the impact of weight-loss in obese subjects on articular cartilage in the tibiofemoral joint using T2 relaxation time mapping. Approach: Knees of 65 obese patients undergoing either bariatric surgery or conservative weight loss regimens were imaged at 3T before and three years after treatment. Changes in T2 were assessed in tibiofemoral cartilage. Results: A reduction in body mass index (BMI) was associated with shortened T2 values in tibia, indicating that weight loss may result in improved cartilage quality. Impact: The findings
provide supporting evidence for the benefits of weight loss for cartilage
health and have relevance in the context of osteoarthritis prevention and
treatment. |
14:18 | 0514.
| Longitudinal Assessment of Cartilage Thickness, T1ρ and T2 Changes in Patients with Mild Osteoarthritis using MRI and 3D Surface-Based Analysis Dimitri Kessler1, James MacKay1,2, Stephen McDonnell3, Jennifer O’Callaghan3, Andrew Grainger4, Alexandra Roberts5, Robert Janiczek6, Andrew Patterson7, Sarah Lee8, Andrew McCaskie3, Martin Graves1,4, Joshua Kaggie1, and Fiona Gilbert1 1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 3Division of Trauma and Orthopaedics, Department of Surgery, University of Cambridge, Cambridge, United Kingdom, 4Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke’s Hospital, Cambridge, United Kingdom, 5Antaros Medical, Uppsala, Sweden, 6Janssen Research and Development, Spring House, PA, United States, 7Clinical Imaging, GSK, London, United Kingdom, 8Amallis Consulting LTD, London, United Kingdom Keywords: Osteoarthritis, Osteoarthritis Motivation: Osteoarthritis (OA) leads to cartilage degradation and pain, impacting patients' lives. MRI allows detailed cartilage assessment; however, limited sensitivity hinders early-phase clinical trials developing disease-modifying treatments. Goal(s): To apply 3D cartilage surface mapping in a homogeneous patient group over 12 months. Approach: Combined morphological and compositional cartilage MRI with 3D surface-based analysis to assess longitudinal changes within patients with mild OA. Results: Bi-directional cartilage thickness, T1ρ, and T2 alterations exceeding measurement errors were observed after 12 months. Medial femorotibial cartilage thinned, while lateral tibial cartilage thickened. Cartilage thickness changes correlated negatively with T1ρ and T2 changes in tibial and patellar cartilage. Impact: The
results and methods presented can improve understanding of early structural and
compositional changes in cartilage, monitoring disease progression and
assessing the effectiveness of therapeutic interventions in OA. |
14:30 | 0515.
| Longitudinal assessment of autologous knee chondrocyte implantation using DL T2 Mapping and DOSMA framework Laura Carretero1,2, Maggie Fung3, Bruno Astuto A. Nunes4, Rupsa Bhattacharjee5, Valentina Pedoia5, Sharmila Majumdar5, Akshay Chaudhari 6, Arjun Divyang Desai6, Feliks Kogan6, Elena Rodríguez7, Juan Manuel López-Alcorocho7, Eugenia Sánchez7, Isabel Guillén7, Pedro Guillén7, Florian Wiesinger1, Norberto Malpica2, and Mario Padrón7 1GE HealthCare, Munich, Germany, 2LAIMBIO, Rey Juan Carlos University, Madrid, Spain, 3GE HealthCare, New York, NY, United States, 4GE HealthCare, San Ramon, CA, United States, 5Department of Radiology and Biomedical Imaging, University of California, San Francisco (UCSF), San Francisco, CA, United States, 6Radiology, Stanford University, Stanford, CA, United States, 7Clinica CEMTRO, Madrid, Spain Keywords: Cartilage, Quantitative Imaging Motivation: Clinical adoption of quantitative MRI for cartilage repair monitoring is hindered by a lack of standardization in acquisition and tedious image analysis. Goal(s): Our goal was to longitudinally assess high-density autologous chondrocyte implantation (HD-ACI) in the knee using a fast and robust DL T2 mapping technique, correlating with clinical outcome. Approach: 15 HD-ACI patients (treated in femoral/patellar compartments) were longitudinally imaged and processed with a semi-automated pipeline, enabling a standardized regional analysis at a layer level. Results: DL T2 map reflected longitudinal significant changes in deep layer. Significant T2 decrease in femoral HD-ACI within the first follow-up year, correlated with good clinical progression. Impact: The demonstrated feasibility of DL T2 mapping coupled with a semi-automatic analysis to monitor changes after HD-ACI repair, allows for further investigation of the underlying biology of quantitative findings; advancing its adoption as cartilage healing biomarker in the clinical setting. |
14:42 | 0516.
| Fine-Tuning Deep Learning Model For Quantitative Knee Joint Mapping with MR Fingerprinting Xiaoxia Zhang1,2, Marcelo V.W. Zibetti1,2, Hector L.de Moura1,2, Anmol Monga1,2, and Ravinder R. Regatte1,2 1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States Keywords: Cartilage, MR Fingerprinting, Knee cartilage, Deep learning Motivation: Estimating MRF quantitative parameters with neural networks (NNs) is faster than dictionary-matching methods (DMs), and it has the advantage of providing continuously distributed parameters. Goal(s): We investigate different aspects of NN training and evaluate its quantitative MRF performance and compare them with DMs. Approach: We exploit how training data sizes, noise levels, and SVD compression sizes affect the MRF performance of the NNs and compare them with DMs. Results: The NN provides a faster way of multi-parametric mapping from NIST/ISMRM phantom and knee joint MRF data sets with comparable performance to DMs. Impact: Well-tuned NN is much more efficient for quantitative MRF, particularly for the knee joint. Besides computational speed, fine-tuning can also increase the performance and robustness to noise. |
14:54 | 0517.
| Quantitative MRI of cartilage in ACL reconstructed patients using 3D ultrashort echo time T1 (UTE-T1) and magnetization transfer ratio (UTE-MTR) Bhavsimran S Malhi1, Livia T Silva1, Melissa L Silva1, Jiyo S Athertya1, Dina Moazamian1, Yajun Ma1, Saeed Jerban1, Eric Y Chang1, Susan V Bukata1, Dana C Covey1, Christine B Chung1, and Jiang Du1 1University of California, San Diego, San Diego, CA, United States Keywords: Cartilage, Quantitative Imaging Motivation: Post traumatic osteoarthritis is a common complication of ACL injury. There is limited research on the early degenerative changes in cartilage of ACL injured knees. Goal(s): To develop novel biomarkers for identifying early cartilage damage in ACL reconstructed knees. Approach: We employed ultrashort echo time magnetization transfer ratio (UTE-MTR) and UTE-T1 sequence to study the knee articular cartilage in ACL reconstructed patients. Results: UTE-T1 and UTE-MTR can be used as quantitative biomarkers for assessing cartilage damage. Reduced MTR and increased T1 values indicate cartilage damage which is otherwise not appreciated on morphological imaging. Impact: UTE-T1 and UTE-MTR sequences can
detect early cartilage damage, which could help us better understand the
development of post-traumatic osteoarthritis. |
15:06 | 0518.
| B1+ Inhomogeneity Correction with Dielectric Padding for Improved MR T2 and T1ρ Quantification in Knee Cartilage and Meniscus at 7 Tesla Stefan Zbyn1,2,3, Richard Lartey1,2, Ahmet H. Ok1,3, Jeehun Kim1,2, Ajay Nemani4, Carl S. Winalski1,2,3, and Xiaojuan Li1,2,3 1Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States, 2Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States, 3Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 4Imaging Institute, Cleveland Clinic, Cleveland, OH, United States Keywords: Cartilage, Cartilage, Osteoarthritis, High-Field MRI, Quantitative Imaging, Relaxometry Motivation: MR T2 and T1ρ mapping showed great promise for reliable detection and follow-up of knee osteoarthritis, however, B1+ inhomogeneities in knee 7T MRI often lead to signal loss and biased quantification. Goal(s): Present study therefore evaluates the effect of high-permittivity dielectric padding on the B1+ field distribution and the reproducibility of T2 and T1ρ quantification in knee cartilage and meniscus. Approach: Twelve subjects received scan-rescan at 7T to quantify B0, B1+, T2, T1ρ, and reproducibility changes associated with dielectric padding. Results: Dielectric pads positioned over tibia showed improved B1+ homogeneity and reproducibility of T2 and T1ρ quantification in cartilage and meniscus at 7T. Impact: Improved
reproducibility of T2 and T1ρ MRI in cartilage and meniscus with dielectric
padding at 7T could facilitate its clinical translation at ultra-high field and
improve patient’s follow-up for the noninvasive evaluation of new prevention
and treatment strategies for osteoarthritis. |
15:18 | 0519.
| The Association of Cartilage Volume with Knee Pain in Osteoarthritis: An Atlas-Based vs Native Approach Edward J Peake1,2 and Dorothee P Auer1,2 1NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 2Radiological Sciences, Mental Health and Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom Keywords: Cartilage, Cartilage Motivation: This research investigates the limited association between cartilage volume and knee pain in osteoarthritis, potentially confounded by anatomical variability. Goal(s): To enhance the correlation between MRI-derived cartilage volumes and Western Ontario and McMaster Universities Osteoarthritis (WOMAC) pain scores using a knee atlas for image registration. Approach: Using data from the Osteoarthritis Initiative, MRIs of subjects with OA were registered to an anatomical template. The atlas-based measurements were compared with traditional methods to assess the impact on correlation with WOMAC pain scores. Results: Atlas registration resulted in more consistent cartilage volume measures, reducing variability, and doubling the correlation with WOMAC pain scores. Impact: In knee osteoarthritis the registration of MRIs to an anatomical
template significantly increases the association between cartilage volumes and osteoarthritis
pain scores, enabling more accurate and sensitive detection of pain-related
cartilage changes, potentially influencing OA management and therapy
development. |