Comparison between Several Ultrasound Hand Joint Scores and Conventional Radiography in Diagnosing Hand Osteoarthritis

Risk of carpal tunnel syndrome among patients with osteoarthritis: a US population-based study

BACKGROUND

Carpal tunnel syndrome (CTS), an entrapment neuropathy caused by pressure of the median nerve, is a progressive condition that can lead to a decreased quality of life. Studies suggest an association between CTS and arthritis; however, previous studies examining osteoarthritis (OA) and CTS are limited in number, scope and study design. This study estimated the incidence and risk of CTS among patients with OA, both overall and by specific joints, in a large population-based cohort in the United States.

METHODS

Patients from the Optum claims database aged ≥ 45 years and diagnosed with OA between January 1, 2018, and December 31, 2022, were eligible for the OA cohort. The non-OA cohort included those without a diagnosis of OA at the index date and no history of OA for 12 months pre-index. Baseline characteristics were balanced using propensity score matching. The risk of CTS in the OA and non-OA cohort were evaluated using incidence rates and adjusted hazard ratios that were estimated using Cox regression.

RESULTS

After applying the inclusion/exclusion criteria, 3,610,240 of the 6,023,384 adults with a diagnosis of OA remained in the OA cohort. After propensity-score matching, each cohort included 1,033,439 individuals. The incidence rates for CTS per 1000 person-years were 7.35 (95% confidence interval [CI] 7.21-7.49) in the OA cohort and 1.44 (95% CI 1.38-1.50) in the non-OA cohort. The risk of developing CTS in patients with OA was ~ 4 times that of patients without (hazard ratio = 3.80; 95% CI 3.54-4.07). This increased risk was found across all OA joint types, with OA of the hand/wrist having the highest risk for CTS. Additionally, multiple OA joints presented a higher risk compared with a single affected joint.

CONCLUSIONS

OA increases the risk of CTS, but this is not limited to patients with hand/wrist OA, suggesting a systemic impact of OA on CTS. While the risk appears highest for patients with hand/wrist OA, patients with more distant affected joints like knee or hip also have an increased risk of CTS.

The ultrasound assessment of osteoarthritis: the current status

Traditionally, osteoarthritis (OA) is diagnosed with the clinical examination supplemented by the conventional radiography (CR). In the research literature, the role of ultrasound (US) imaging in the diagnostics of OA has risen steadily during the last two decades. US imaging is cheap and globally widely available often already in primary healthcare. Here, we reviewed the most essential US literature focusing on OA diagnostics and progression prediction using the various search engines. Starting from the year 2000, our search provided 1 445 journal articles. After reviewing the abstracts, 89 articles were finally included. Most of the reviewed articles focused on the imaging of knee and hand OA, whereas only a minority dealt with the imaging of hip, ankle, midfoot, acromioclavicular, and temporomandibular joints. Overall, during the last 20 years, the use of US imaging for OA assessment has increased in the scientific literature. In knee and hand joints, US imaging has been reported to be a promising tool to evaluate OA changes. Furthermore, the reproducibility of US as well as its association to MRI findings are excellent. Importantly, US seems to even outperform CR in certain aspects, such as detection of osteophytes, joint inflammation, meniscus protrusion, and localized cartilage damage (especially at the medial femoral condyle and sulcus area). Based on the reviewed literature, US can be truly considered as a complementary tool to CR in the clinical setup for OA diagnostics. New technical developments may even enhance the diagnostic value of the US in the future.

Accuracy and Feasibility of Ultrasound-Guided Intra-articular Injection of the Rat Hip Joint

Intra-articular injection is frequently used as an effective diagnostic and treatment tool for hip joint diseases. However, the underlying treatment mechanism remains unclear because of a lack of experimental animal models. A challenge facing researchers is how to accurately and consistently perform injections involving animal hip joints. The purpose of this study, then, was to establish an ultrasound (US)-guided intra-articular (IA) injection technique using rat hip joints and to evaluate its accuracy and feasibility versus a fluoroscopy (FL)-guided technique. For this study, 20 US-guided and 20 FL-guided IA injections were administered to separate groups of Sprague-Dawley rats. For each procedure, 50 μL of iohexol was injected into the hip joint using a 25G needle. The US-guided injections were performed using a linear probe, and the FL-guided IA injections were performed using C-arm X-ray fluoroscopy. All injections were verified by computed tomography imaging. The number of successful injections and needle repositions per injection, as well as operating times, were recorded, and the rats were observed for complications for 10 d after the injections. Statistical analysis was used to compare US-guided and FL-guided techniques with significance set at p < 0.05. The success rate was markedly higher for the US-guided interventions (90%) than for the FL-guided interventions (75%) (p<0.05). The intervention time was shorter in the US-guided group (95.95 ± 8.376 s) than in the FL-guided group (110.70 ± 20.236 s) (p < 0.05), and the median number of needles repositioned per injection in the US-guided group (1.20 ± 0.41) was notably less than that in the FL-guided group (1.60 ± 0.68) (p < 0.05). A puncture site hematoma was noted in two rat hips (10%) the day after injection in the FL-guided group. Overall, the study indicated that ultrasound-guided intra-articular injection of the hip is a feasible, accurate and safe method for use in rats. This makes it a promising tool for diagnosing coxofemoral pain, producing hip osteoarthritis animal models and administering intra-articular medication.

Synovitis and bone marrow lesions associate with symptoms and radiographic progression in hand osteoarthritis: a systematic review and meta-analysis of observational studies

AIMS

To systematically review observational studies for the association between features detected on ultrasound (US) and magnetic resonance imaging (MRI) and, symptoms, signs and radiographic progression of hand osteoarthritis (OA).

METHODS

Medline, Web of Science, EMBASE, CINAHL and AMED were searched from inception to 14^th January 2020 to identify relevant studies. Quality of studies was assessed using the Newcastle-Ottawa scales and data were extracted. Odds ratios (OR) and linear regression coefficients and 95% confidence intervals (CI) were pooled using the random-effects model (METAN package, Stata v16.1). Heterogeneity and publication bias were assessed.

RESULTS

Thirty-two studies using US and MRI comprising 1,350 and 638 participants respectively were included. While only grey-scale synovitis (GSS) associated with AUSCAN-pain (pooled Regression coefficient (95% CI): 0.46 (0.13-0.79); 0-20 scale for AUSCAN-pain), US-detected osteophytes, GSS and power Doppler (PD) [pooled ORs (95% CI): 2.68(2.16-3.33), 2.38(1.74-3.26) and 2.04 (1.45-2.88)] as well as MRI-detected bone marrow lesions (BMLs), synovitis, osteophytes, and central bone erosions (CBEs) associated with joint tenderness [pooled ORs (95% CI): 2.59(2.12-3.18), 2.17(1.85-2.54), 2.15(1.55-2.99), and 2.41 (1.45-4.02)] respectively. US-detected GSS and PD associated with radiographic progression of CBEs [pooled ORs 5.37, 5.08], osteophytes [pooled ORs 5.17, 6.45], and joint space narrowing (pooled ORs 4.28, 4.36) whilst MRI-detected synovitis and BMLs associated with increasing KL grades with pooled ORs 2.92, 2.54 respectively.

CONCLUSIONS

US and MRI-detected structural and inflammatory changes associate with tenderness, whilst articular inflammation and subchondral bone damage associate with radiographic hand OA progression. There was inconsistent relationship between these changes and pain.

Reliability of detection of ultrasound and MRI features of hand osteoarthritis: a systematic review and meta-analysis

OBJECTIVES

To systematically review the literature on inter- and intra-rater reliability of scoring ultrasound and MRI changes in hand osteoarthritis (OA).

METHODS

Medline, EMBASE, CINHAL, Web of Science and AMED were searched from inception to January 2020. Kappa (K), weighted Kappa (Kw) and intra-class correlation coefficients (ICC) for dichotomous, semi-quantitative and summated scores respectively, and their 95% confidence intervals (CI) were pooled using random-effects model. Heterogeneity between studies was assessed and reliability estimates were interpreted using Landis-Koch's classification.

RESULTS

Fifty studies met the inclusion criteria (33 ultrasound, 21 MRI). The pooled K(95% CI) for inter-rater reliability was substantial for ultrasound-detected osteophytes [0.66 (0.54, 0.79)], grey-scale synovitis (GSS) [0.64 (0.32, 0.97)], and power Doppler (PD) [0.76, (0.47, 1.05)]; whereas intra-rater reliability was almost perfect for osteophytes [0.82 (0.80, 0.84)], central bone erosions (CBEs) [0.83 (0.78, 0.89)], and effusion [0.83 (0.74, 0.91)]; and substantial for GSS [0.64 (0.49, 0.79)] and PD [0.70 (0.59, 0.80)].Inter-rater reliability for dichotomous assessment was substantial for MRI-detected CBEs [0.75 (0.67, 0.83)] and synovitis [0.69 (0.51, 0.87)]; slight for osteophytes [0.14 (0.04, 0.25)]; and almost perfect for sum score of osteophytes, CBEs, joint space narrowing (JSN), and bone marrow lesions (BMLs) (0.81-0.89). Intra-rater reliability was almost perfect for sum score of MRI synovitis [0.92 (0.87, 0.96)], BMLs [0.88 (0.78, 0.98)], osteophytes [0.86 (0.74, 0.98)], CBEs [0.83 (0.66, 1.00)] and JSN [0.91 (0.87, 0.91)].

CONCLUSION

Ultrasound and MRI are reliable in detecting hand OA features. Ultrasound may be preferred due to low-cost and increasing availability.

Turning the Page in Osteoarthritis Assessment with the Use of Ultrasound

PURPOSE OF REVIEW

This narrative review summarizes the last 5 years of published, peer-reviewed research on the use of musculoskeletal ultrasound (US) in osteoarthritis (OA).

RECENT FINDINGS

Multiple features relevant to OA can be visualized on US, including synovitis, erosion, enthesitis, osteophytes, cartilage damage, meniscal extrusion, and popliteal cysts. US can be used to confirm a diagnosis of OA or make an alternate diagnosis in the clinical setting. When a standardized protocol is used, US is a reliable modality for assessment of the features of OA. Findings on US can predict progression and response to therapy in OA of the hand and knee and can allow characterization of risk factors in a cost-effective, non-invasive, repeatable manner. US is becoming more widely used in OA imaging and has clear value in addition to radiography and clinical assessment. US will likely prove useful in defining phenotypes and providing treatment guidance in OA.

Osteoarthritis year in review 2018: imaging

PURPOSE

To provide a narrative review of the most relevant original research published in 2017/2018 on osteoarthritis imaging.

METHODS

The PubMed database was used to recover all relevant articles pertaining to osteoarthritis and medical imaging published between 1 April 2017 and 31 March 2018. Review articles, case studies and in vitro or animal studies were excluded. The original publications were subjectively sorted based on relevance, novelty and impact.

RESULTS AND CONCLUSIONS

The publication search yielded 1,155 references. In the assessed publications, the most common imaging modalities were radiography (N = 708) and magnetic resonance imaging (MRI) (355), followed by computed tomography (CT) (220), ultrasound (85) and nuclear medicine (17). An overview of the most important publications to the osteoarthritis (OA) research community is presented in this narrative review. Imaging studies play an increasingly important role in OA research, and have helped us to understand better the pathophysiology of OA. Radiography and MRI continue to be the most applied imaging modalities, while quantitative MRI methods and texture analysis are becoming more popular. The value of ultrasound in OA research has been demonstrated. Several multi-modality predictive models have been developed. Deep learning has potential for more automatic and standardized analyses in future OA imaging research.