A5071275238- Osteoarthritis Treatment and Mechanisms
- Lower Extremity Biomechanics and Pathologies
- Total Knee Arthroplasty Outcomes
- Knee injuries and reconstruction techniques
- Bone and Joint Diseases
- Rheumatoid Arthritis Research and Therapies
- Infrared Thermography in Medicine
- Spectroscopy Techniques in Biomedical and Chemical Research
- Musculoskeletal synovial abnormalities and treatments
- Medical Imaging and Analysis
- Tendon Structure and Treatment
- Hip disorders and treatments
- Photoacoustic and Ultrasonic Imaging
- Veterinary Equine Medical Research
- Bone health and osteoporosis research
- Bone Metabolism and Diseases
- Radiomics and Machine Learning in Medical Imaging
- Diabetic Foot Ulcer Assessment and Management
- Spectroscopy and Chemometric Analyses
- Optical Coherence Tomography Applications
- Advanced X-ray and CT Imaging
- Shoulder Injury and Treatment
- Medical Imaging Techniques and Applications
- Orthopaedic implants and arthroplasty
- Spine and Intervertebral Disc Pathology
University of Oulu
2016-2025
Oulu University Hospital
2016-2025
Brigham and Women's Hospital
2022-2024
Monash University
2022-2024
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2022-2024
Finnish Institute of Occupational Health
2022
John Wiley & Sons (United States)
2021
Hospital de Santa Maria
2017
University of Helsinki
2017
Instituto de Medicina Molecular João Lobo Antunes
2017
Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis currently conducted by assessing symptoms and evaluating plain radiographs, but this process suffers from subjectivity. In study, we present a new transparent computer-aided method based on Deep Siamese Convolutional Neural Network to automatically score knee severity according Kellgren-Lawrence grading scale. We trained our using data solely Multicenter Osteoarthritis Study validated it randomly selected...
Abstract Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief. Prediction of OA progression very challenging timely issue, it could, if resolved, accelerate modifying drug development ultimately help prevent millions total joint replacement surgeries performed annually. Here, we present multi-modal machine learning-based prediction model that utilises raw radiographic data, clinical examination...
<ns4:p>Recent research in the field of osteoarthritis (OA) has focused on understanding underlying molecular and clinical phenotypes disease. This narrative review article focuses recent advances our OA proposes that disease represents a diversity are underpinned by number mechanisms, which may be shared several targeted more specifically for therapeutic purposes. The supposedly have different etiologies pathogenic pathways they progress at rates. Large population cohorts consist majority...
Structure and properties of knee articular cartilage are adapted to stresses exposed on it during physiological activities. In this study, we describe site- depth-dependence the biomechanical bovine cartilage. We also investigate effects tissue structure composition parameters as well characterize experimentally numerically compression-tension nonlinearity matrix. vitro mechano-optical measurements in unconfined compression geometry conducted obtain material parameters, such thickness,...
Transition metal dichalcogenides (TMDs) have received immense research interest in particular for their outstanding electrochemical and optoelectrical properties. Lately, chemical gas sensor applications of TMDs been recognized as well owing to the low operating temperatures devices, which is a great advantage over conventional oxide based sensors. In this work, we elaborate on sensing properties WS2 MoS2 thin films made by simple straightforward thermal sulfurization sputter deposited...
Despite increasing evidence that subchondral bone contributes to osteoarthritis (OA) pathogenesis, little is known about local changes in structure compared cartilage degeneration. This study linked structural adaptation of with histological OA grade. Twenty-five osteochondral samples macroscopically different degeneration were prepared from tibiae 14 patients. Samples scanned micro-computed tomography (μCT) and both conventional parameters novel 3D based on patterns analyzed the plate...
Abstract Osteoarthritis (OA) is a common degenerative musculoskeletal disease highly prevalent in aging societies worldwide. Traditionally, knee OA diagnosed using conventional radiography. However, structural changes of articular cartilage or menisci cannot be directly evaluated this method. On the other hand, ultrasound promising tool able to provide direct information on soft tissue degeneration. The aim our study was systematically determine site-specific diagnostic performance...
Knee osteoarthritis (OA) is the most common musculoskeletal disease in world. In primary healthcare, knee OA diagnosed using clinical examination and radiographic assessment. Osteoarthritis Research Society International (OARSI) atlas of features allows performing independent assessment osteophytes, joint space narrowing other features. This provides a fine-grained severity knee, compared to gold standard commonly used Kellgren-Lawrence (KL) composite score. this study, we developed an...
Osteoarthritis (OA) has often regarded as a disease of articular cartilage only. New evidence shifted the paradigm towards system biology approach, where also surrounding tissue, especially bone is studied more vigorously. However, histological features subchondral are only poorly characterized in current grading scales OA. The aim this study to specifically characterize changes occurring at different stages OA and propose simple for them.20 patients undergoing total knee replacement surgery...
Electrochemical detection of dopamine with MoS 2 –Ni(OH) thin films facilitated by a wireless, customizable and portable potentiostat.
Quantitative magnetic resonance imaging (MRI) techniques have earlier been developed to characterize the structure and composition of articular cartilage. Particularly, Gd-DTPA(2-)-enhanced T1 is sensitive cartilage proteoglycan content, while T2 relaxation time mapping indicative integrity arrangement collagen network. However, ability these detect early osteoarthrotic changes in has not demonstrated. In this study, normal spontaneously degenerated bovine patellar samples (n=32) were...
<b>Objectives:</b> To examine the validity of power Doppler ultrasound imaging to identify synovitis, using histopathology as gold standard, and assess performance equipments. <b>Methods:</b> 44 synovial sites in small large joints, bursae tendon sheaths were depicted with ultrasound. A biopsy was performed on site a sample taken for histopathological evaluation. The three devices tested flow phantoms. <b>Results:</b> positive signal detected 29 35 (83%) patients active histological...
In highly organized tissues, such as cartilage, tendons and white matter, several quantitative MRI parameters exhibit dependence on the orientation of tissue constituents with respect to main imaging magnetic field (B
To evaluate the sensitivity of quantitative MRI techniques (T1 , T1,Gd T2 continous wave (CW) T1ρ dispersion, adiabatic T2ρ RAFF and inversion-prepared magnetization transfer (MT)) for assessment human articular cartilage with varying degrees natural degeneration.Osteochondral samples (n = 14) were obtained from tibial plateaus patients undergoing total knee replacement. specimens was performed at 9.4T relaxation time maps evaluated in zones. For reference, histology, OARSI grading...
Degeneration of articular cartilage (AC) is actively studied in knee osteoarthritis (OA) research via magnetic resonance imaging (MRI). Segmentation AC tissues from MRI data an essential step quantification their damage. Deep learning (DL) based methods have shown potential this realm and are the current state-of-the-art, however, robustness to heterogeneity acquisition settings remains open problem. In study, we investigated two modern regularization techniques - mixup adversarial...
ObjectiveCollagen distribution within articular cartilage (AC) is typically evaluated from histological sections, e.g., using collagen staining and light microscopy (LM). Unfortunately, all techniques based on sections are time-consuming, destructive, without extraordinary effort, limited to two dimensions. This study investigates whether phosphotungstic acid (PTA) phosphomolybdic (PMA), collagen-specific markers X-ray absorbers, could (1) produce contrast for AC imaging or (2) be used...
Articular cartilage (AC) is mainly composed of water, type II collagen, proteoglycans (PGs) and chondrocytes. The amount PGs in AC routinely quantified with digital densitometry (DD) from Safranin O-stained sections, but it unclear whether similar method could be used for collagens.The aim this study was to clarify collagens can histological sections using DD.Sixteen human samples were stained Masson's trichrome or Picrosirius red. Optical densities stains compared two commonly collagen...
Abstract Articular cartilage constituents (collagen, proteoglycans, fluid) are significantly altered during osteoarthritis (OA). A fibril-reinforced poroelastic (FRPE) material model can separate the contribution of each constituent on mechanical response cartilage. Yet, these properties and their OA related alterations not known for human tibial To answer this gap in knowledge, we characterized FRPE as well elastic viscoelastic healthy osteoarthritic Tibial osteochondral explants ( n = 27)...
The KNee OsteoArthritis Prediction (KNOAP2020) challenge was organized to objectively compare methods for the prediction of incident symptomatic radiographic knee osteoarthritis within 78 months on a test set with blinded ground truth.