Publications by authors named "Edwin Oei"

Objective: To study the association between various radiographic definitions of acetabular dysplasia (AD) and incident radiographic hip osteoarthritis (RHOA), and to analyze in subgroups.

Methods: Hips free of RHOA at baseline and with follow-up within 4-8 years were drawn from the World COACH consortium. The Wiberg center edge angle (WCEA), acetabular depth width ratio (ADR), and the modified acetabular index (mAI) were calculated.

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Objective: MRI of the hands is valuable for risk-stratification in patients with arthralgia at-risk for developing rheumatoid arthritis (RA). Contrast-enhanced MRI is considered standard for assessment of RA, but has practical disadvantages. It also shows inflammation-like features in the general population, especially at older age, which should be considered in image interpretation.

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Objective: To determine the association between patient-reported spinal morning stiffness and lumbar disc degeneration (LDD) and systemic inflammation, as measured by C-reactive protein (CRP), in older patients with non-specific back pain. The ultimate objective is to help shape a future definition of spinal osteoarthritis (OA).

Design: Baseline data from the Dutch "Back Complaints in the Older Adults" (BACE) study was used.

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Background: We currently lack clear definitions for structural and symptomatic spinal osteoarthritis (OA). To define spinal OA and create diagnostic criteria for this condition, it is necessary to determine the relationship between clinical signs and symptoms of back pain and radiographic features of OA. Notably, recent studies suggest a defining sign of spinal OA could be a limited or painful spinal range of motion (ROM).

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Objective: To determine the efficacy of genicular artery embolisation (GAE) compared with sham GAE for pain reduction in patients with symptomatic mild-to-moderate knee osteoarthritis (KOA).

Design: Double-blind randomised sham-controlled clinical trial conducted from June 2019 to December 2021. The follow-up period was 4 months.

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Article Synopsis
  • Knee pain is a common issue among 13-year-olds, with a prevalence of 8% and a high rate of chronic cases (92.3% lasting over 3 months).
  • Most knee pain occurs on the front of the knee, with 37.5% of affected children experiencing pain daily.
  • Children with knee pain tend to have higher body mass indexes, and structural abnormalities like Osgood-Schlatter disease and bipartite patella were more frequently observed in them via MRI.
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  • * The most common issue identified was bone marrow edema, seen in 7.3% of the participants, while other conditions like Osgood-Schlatter disease and nonossifying fibromas were also noted.
  • * Results indicated certain associations between participant characteristics (such as sex and body weight) and the presence of these abnormalities, with boys showing higher rates of bone marrow edema.
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Purpose: Accurate measurements of trabecular bone microarchitecture are required for a proper assessment of bone fragility. Photon-counting detector CT (PCD-CT) has different technical properties than conventional CT, resulting in higher resolution and thereby potentially enabling in-vivo measurement of trabecular microarchitecture. The purpose of this study was to quantify trabecular bone microarchitectural parameters with PCD-CT at varying radiation doses and compare this to µCT as gold standard.

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For every patient, the MR safety evaluation should include the assessment of risks in three key areas, each corresponding to a specific hazard posed by the electromagnetic fields generated by the MR scanner: ferromagnetic attraction and displacement by the static field; stimulation, acoustic noise, and device interaction by the gradient fields; and bulk and focal heating by the radiofrequency field. MR safety guidelines and procedures are typically designed around the "average" patient: adult, responsive, and of typical habitus. For this type of patient, we can safely expect that a detailed history can identify metallic objects inside and outside the body, verbal contact during the scan can detect signs of discomfort from heating or acoustic noise, and safety calculations performed by the scanner can prevent hyperthermia.

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Article Synopsis
  • The study aimed to create and validate diagnostic prediction models for diagnosing structural spinal osteoarthritis (OA) in older patients experiencing back pain, addressing the challenge of relying solely on imaging.
  • Three models were developed using data from a cohort of 669 older adults, incorporating factors like age, gender, and back pain characteristics, with the combined model showing the best performance and clinical utility.
  • Results suggest that while the models demonstrate potential for aiding clinicians in identifying structural spinal OA, they require further refinement and external validation before being used in clinical practice.
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  • The study investigates how cam morphology, which develops during skeletal growth, affects the cartilage and labrum of high-impact male athletes years later, specifically in those who played professional soccer during adolescence.
  • A cohort of 89 healthy male soccer players was monitored over time, with assessments taken at various follow-up points to determine the prevalence of cam morphology and its association with cartilage loss and labral damage.
  • Findings revealed that 80% of hips showed cam morphology at follow-up, with a significantly higher prevalence of cartilage loss in hips with cam morphology (52%) compared to those without (21%), indicating a potential long-term impact of cam morphology.
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Objectives: Apply a modified Delphi-based approach and produce a practical, radiology-specific set of definitions for interpretation and standardization of the multiple MRI findings in axial spondyloarthritis (ax-SpA), specifically to aid the general radiologist with a musculoskeletal interest, working with gold standard basic MRI protocols.

Materials And Methods: We report the results of a modified Delphi-based consensus of 35 experts from 13 countries in the Arthritis Subcommittee of the European Society of Musculoskeletal Radiology (ESSR). Seventeen definitions were created (i.

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Background Due to conflicting findings in the literature, there are concerns about a lack of objectivity in grading knee osteoarthritis (KOA) on radiographs. Purpose To examine how artificial intelligence (AI) assistance affects the performance and interobserver agreement of radiologists and orthopedists of various experience levels when evaluating KOA on radiographs according to the established Kellgren-Lawrence (KL) grading system. Materials and Methods In this retrospective observer performance study, consecutive standing knee radiographs from patients with suspected KOA were collected from three participating European centers between April 2019 and May 2022.

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Objective: No established definition for early-stage knee osteoarthritis (KOA) is available, nor classification criteria. Identifying the characteristics of individuals presenting with early-stage KOA symptoms can enhance diagnosis to prevent progression. This study aimed to describe clinical and structural features of individuals presenting with knee complaints within two years after their first consultation, while exploring differences in the duration of knee complaints.

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This article will provide a perspective review of the most extensively investigated deep learning (DL) applications for musculoskeletal disease detection that have the best potential to translate into routine clinical practice over the next decade. Deep learning methods for detecting fractures, estimating pediatric bone age, calculating bone measurements such as lower extremity alignment and Cobb angle, and grading osteoarthritis on radiographs have been shown to have high diagnostic performance with many of these applications now commercially available for use in clinical practice. Many studies have also documented the feasibility of using DL methods for detecting joint pathology and characterizing bone tumors on magnetic resonance imaging (MRI).

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Objective: Ultrasound (US) can detect subclinical joint-inflammation in patients with clinically suspect arthralgia (CSA), which is valuable as predictor for rheumatoid arthritis (RA) development. In most research protocols both hands and forefeet are scanned, but it is unclear if US of the forefeet has additional value for predicting RA, especially since synovial hypertrophy in MTP-joints of healthy individuals is also common. To explore the possibility to omit scanning of the forefeet we determined if US of the forefeet is of additional predictive value for RA-development in CSA patients.

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Background: Childhood obesity increases metabolic disease risk. Underlying mechanisms remain unknown. We examined associations of body mass index (BMI), total body fat mass, and visceral fat mass with serum metabolites at school-age, and explored whether identified metabolites improved the identification of children at risk of a metabolically unhealthy phenotype.

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  • Malnutrition is a common issue in kidney failure patients, and traditional body weight measurements are not sufficient for assessing muscle mass, prompting the use of bioimpedance spectroscopy (BIS) to estimate fat-free mass (FFM).
  • The study analyzed CT scans of 60 patients to compare BIS-derived FFM and lean tissue mass (LTM) against CT-derived FFM, discovering strong correlation but significant individual variation in FFM measurements.
  • Results indicated that while FFM was a better predictor for determining protein requirements in patients, substantial discrepancies between FFM measurements could have clinically relevant impacts on nutritional management.
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Purpose: Hip osteoarthritis (OA) is a major cause of pain and disability worldwide. Lack of effective therapies may reflect poor knowledge on its aetiology and risk factors, and result in the management of end-stage hip OA with costly joint replacement. The Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) consortium was established to pool and harmonise individual participant data from prospective cohort studies.

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Objectives: The study aims to (1) report the process of recruiting young adults into a secondary knee osteoarthritis prevention randomised controlled trial (RCT) after anterior cruciate ligament reconstruction (ACLR); (2) determine the number of individuals needed to be screened to include one participant (NNS) and (3) report baseline characteristics of randomised participants.

Methods: The SUpervised exercise-therapy and Patient Education Rehabilitation (SUPER)-Knee RCT compares SUPER and minimal intervention for young adults (aged 18-40 years) with ongoing symptoms (ie, mean score of <80/100 from four Knee injury and Osteoarthritis Outcome Score subscales (KOOS)) 9-36 months post-ACLR. The NNS was calculated as the number of prospective participants screened to enrol one person.

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Objective: To assess the presence of early degenerative changes on Magnetic Resonance Imaging (MRI) 24 months after a traumatic meniscal tear and to compare these changes in patients treated with arthroscopic partial meniscectomy or physical therapy plus optional delayed arthroscopic partial meniscectomy.

Design: We included patients aged 18-45 years with a recent onset, traumatic, MRI verified, isolated meniscal tear without radiographic osteoarthritis. Patients were randomized to arthroscopic partial meniscectomy or standardized physical therapy with optional delayed arthroscopic partial meniscectomy.

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In musculoskeletal imaging, CT is used in a wide range of indications, either alone or in a synergistic approach with MRI. While MRI is the preferred modality for the assessment of soft tissues and bone marrow, CT excels in the imaging of high-contrast structures, such as mineralized tissue. Additionally, the introduction of dual-energy CT in clinical practice two decades ago opened the door for spectral imaging applications.

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Background: Artificial intelligence (AI) applications can facilitate detection of cervical spine fractures on CT and reduce time to diagnosis by prioritizing suspected cases.

Purpose: To assess the effect on time to diagnose cervical spine fractures on CT and diagnostic accuracy of a commercially available AI application.

Materials And Methods: In this study (June 2020 - March 2022) with historic controls and prospective evaluation, we evaluated regulatory-cleared AI-software to prioritize cervical spine fractures on CT.

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