MRI Helps Evaluate and Improve Knee Rehabilitation
By MedImaging International staff writers Posted on 13 May 2019 |

Image: MRI can be used to analyze gait motion (Photo courtesy of UDEL Delaware Rehabilitation Institute).
A new study reveals how magnetic resonance imaging (MRI) can be used to study gait mechanics and joint function in patients with anterior cruciate ligament (ACL) deficiencies.
Researchers at the University of Delaware (UDEL; Newark, USA) used MRI test results, finite element models, gait analysis, and biochemical analysis to study ACL injuries and determine which stresses on knee cartilage may be indicative of osteoarthritis (OA). To do so, they evaluated knee gait variables, muscle co‐contraction indices, and knee joint loading in 36 young subjects with ACL deficiency and 12 control subjects. Motion capture video and MRI were used assess the effects of ACL tears on gait, and an electromyography‐informed model was used to estimate joint loading.
The results revealed that for the involved limb of ACL deficiency subjects, muscle co‐contraction indices were higher for the medial and lateral agonist–antagonist muscle pairs than in the controls; but despite the higher muscle co‐contraction, medial compartment contact force was lower for the involved limb, compared to both the uninvolved and the control subject limb. Similar observations were made for total contact force. For involved versus uninvolved limb, the ACL deficiency group showed lower vertical ground reaction force and knee flexion moment during weight acceptance. The study was published in the January 2019 issue of the Journal of Orthopaedic Research.
“We hypothesized that, compared to control subjects, the ACL deficiency subjects would demonstrate greater muscle co‐contraction, muscle forces, and medial compartment loading in the involved knee,” said senior author Professor Tom Buchanan, PhD, director of the UDEL Delaware Rehabilitation Institute. “But this study suggests that arthritis isn’t just caused by really high forces, but can also be caused by too low forces on the joint. The ideal range of forces may in fact be a very narrow window. Based on what we identify, maybe physical therapists could treat patients differently.”
The ACL is a broad, thick collagen cord that originates on the anterior femur, in the intercondylar notch, and inserts on the posterior aspect of the tibial plateau. The ACL guides the tibia through a normal, stable range of motion, along the end of the femur, maintaining joint stability. Unfortunately, the ligament is poorly vascularized, and thus has no ability to heal after a complete tear, leading to further destruction of the articular and meniscal cartilage over time.
Related Links:
University of Delaware
Researchers at the University of Delaware (UDEL; Newark, USA) used MRI test results, finite element models, gait analysis, and biochemical analysis to study ACL injuries and determine which stresses on knee cartilage may be indicative of osteoarthritis (OA). To do so, they evaluated knee gait variables, muscle co‐contraction indices, and knee joint loading in 36 young subjects with ACL deficiency and 12 control subjects. Motion capture video and MRI were used assess the effects of ACL tears on gait, and an electromyography‐informed model was used to estimate joint loading.
The results revealed that for the involved limb of ACL deficiency subjects, muscle co‐contraction indices were higher for the medial and lateral agonist–antagonist muscle pairs than in the controls; but despite the higher muscle co‐contraction, medial compartment contact force was lower for the involved limb, compared to both the uninvolved and the control subject limb. Similar observations were made for total contact force. For involved versus uninvolved limb, the ACL deficiency group showed lower vertical ground reaction force and knee flexion moment during weight acceptance. The study was published in the January 2019 issue of the Journal of Orthopaedic Research.
“We hypothesized that, compared to control subjects, the ACL deficiency subjects would demonstrate greater muscle co‐contraction, muscle forces, and medial compartment loading in the involved knee,” said senior author Professor Tom Buchanan, PhD, director of the UDEL Delaware Rehabilitation Institute. “But this study suggests that arthritis isn’t just caused by really high forces, but can also be caused by too low forces on the joint. The ideal range of forces may in fact be a very narrow window. Based on what we identify, maybe physical therapists could treat patients differently.”
The ACL is a broad, thick collagen cord that originates on the anterior femur, in the intercondylar notch, and inserts on the posterior aspect of the tibial plateau. The ACL guides the tibia through a normal, stable range of motion, along the end of the femur, maintaining joint stability. Unfortunately, the ligament is poorly vascularized, and thus has no ability to heal after a complete tear, leading to further destruction of the articular and meniscal cartilage over time.
Related Links:
University of Delaware
Latest MRI News
- PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients
- Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery
- Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality
- World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity
- New Whole-Body Imaging Technology Makes It Possible to View Inflammation on MRI Scan
- Combining Prostate MRI with Blood Test Can Avoid Unnecessary Prostate Biopsies
- New Treatment Combines MRI and Ultrasound to Control Prostate Cancer without Serious Side Effects
- MRI Improves Diagnosis and Treatment of Prostate Cancer
- Combined PET-MRI Scan Improves Treatment for Early Breast Cancer Patients
- 4D MRI Could Improve Clinical Assessment of Heart Blood Flow Abnormalities
- MRI-Guided Focused Ultrasound Therapy Shows Promise in Treating Prostate Cancer
- AI-Based MRI Tool Outperforms Current Brain Tumor Diagnosis Methods
- DW-MRI Lights up Small Ovarian Lesions like Light Bulbs
- Abbreviated Breast MRI Effective for High-Risk Screening without Compromising Diagnostic Accuracy
- New MRI Method Detects Alzheimer’s Earlier in People without Clinical Signs
- MRI Monitoring Reduces Mortality in Women at High Risk of BRCA1 Breast Cancer
Channels
Radiography
view channel
Novel Breast Imaging System Proves As Effective As Mammography
Breast cancer remains the most frequently diagnosed cancer among women. It is projected that one in eight women will be diagnosed with breast cancer during her lifetime, and one in 42 women who turn 50... Read more
AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
Radiologists typically detect one case of cancer for every 200 mammograms reviewed. However, these evaluations often result in false positives, leading to unnecessary patient recalls for additional testing,... Read moreUltrasound
view channel
Deep Learning Advances Super-Resolution Ultrasound Imaging
Ultrasound localization microscopy (ULM) is an advanced imaging technique that offers high-resolution visualization of microvascular structures. It employs microbubbles, FDA-approved contrast agents, injected... Read more
Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection
Biofilms, formed by bacteria aggregating into dense communities for protection against harsh environmental conditions, are a significant contributor to various infectious diseases. Biofilms frequently... Read moreNuclear Medicine
view channel
New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access
The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more
New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively
Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Despite surgery and platinum-based chemotherapy being the standard... Read more
AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging
Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read moreGeneral/Advanced Imaging
view channel
New AI Method Captures Uncertainty in Medical Images
In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more.jpg)
CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease
Coronary artery disease (CAD), one of the leading causes of death worldwide, involves the narrowing of coronary arteries due to atherosclerosis, resulting in insufficient blood flow to the heart muscle.... Read more
Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s
Alzheimer's disease (AD), a condition marked by cognitive decline and the presence of beta-amyloid (Aβ) plaques and neurofibrillary tangles in the brain, poses diagnostic challenges. Amyloid positron emission... Read more.jpg)
CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures
The rise in the aging population is expected to result in a corresponding increase in the prevalence of vertebral fractures which can cause back pain or neurologic compromise, leading to impaired function... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Bayer and Google Partner on New AI Product for Radiologists
Medical imaging data comprises around 90% of all healthcare data, and it is a highly complex and rich clinical data modality and serves as a vital tool for diagnosing patients. Each year, billions of medical... Read more