Intravoxel incoherent motion MRI for discrimination of synovial proliferation in the hand arthritis: A prospective proof‐of‐concept study

Perfusion Imaging of the Musculoskeletal System

Perfusion imaging is the aspect of functional imaging, which is most applicable to the musculoskeletal system. In this review, the anatomy and physiology of bone perfusion is briefly outlined as are the methods of acquiring perfusion data on MR imaging. The current clinical indications of perfusion related to the assessment of soft tissue and bone tumors, synovitis, osteoarthritis, avascular necrosis, Keinbock's disease, diabetic foot, osteochondritis dissecans, and Paget's disease of bone are reviewed. Challenges and opportunities related to perfusion imaging of the musculoskeletal system are also briefly addressed.

Advanced Magnetic Resonance Imaging and Molecular Imaging of the Painful Knee

Chronic knee pain is a common condition. Causes of knee pain include trauma, inflammation, and degeneration, but in many patients the pathophysiology remains unknown. Recent developments in advanced magnetic resonance imaging (MRI) techniques and molecular imaging facilitate more in-depth research focused on the pathophysiology of chronic musculoskeletal pain and more specifically inflammation. The forthcoming new insights can help develop better targeted treatment, and some imaging techniques may even serve as imaging biomarkers for predicting and assessing treatment response in the future. This review highlights the latest developments in perfusion MRI, diffusion MRI, and molecular imaging with positron emission tomography/MRI and their application in the painful knee. The primary focus is synovial inflammation, also known as synovitis. Bone perfusion and bone metabolism are also addressed.

Pitfalls of Diffusion-Weighted Imaging: Clinical Utility of T2 Shine-through and T2 Black-out for Musculoskeletal Diseases

Diffusion-weighted imaging (DWI) with an apparent diffusion coefficient (ADC) value is a relatively new magnetic resonance imaging (MRI) sequence that provides functional information on the lesion by measuring the microscopic movement of water molecules. While numerous studies have evaluated the promising role of DWI in musculoskeletal radiology, most have focused on tumorous diseases related to cellularity. This review article aims to summarize DWI-acquisition techniques, considering pitfalls such as T2 shine-through and T2 black-out, and their usefulness in interpreting musculoskeletal diseases with imaging. DWI is based on the Brownian motion of water molecules within the tissue, achieved by applying diffusion-sensitizing gradients. Regardless of the cellularity of the lesion, several pitfalls must be considered when interpreting DWI with ADC values in musculoskeletal radiology. This review discusses the application of DWI in musculoskeletal diseases, including tumor and tumor mimickers, as well as non-tumorous diseases, with a focus on lesions demonstrating T2 shine-through and T2 black-out effects. Understanding these pitfalls of DWI can provide clinically useful information, increase diagnostic accuracy, and improve patient management when added to conventional MRI in musculoskeletal diseases.

Evaluation of Synovitis of Hand in Patients With Rheumatoid Arthritis Using Diffusion Kurtosis Magnetic Resonance Imaging: Initial Findings

OBJECTIVE

To explore the role of diffusion kurtosis magnetic resonance (MR) imaging in the noninvasive identification of synovitis in hand arthritis.

METHODS

A total of 30 patients with rheumatoid arthritis (RA) and 10 patients suspected of RA were enrolled in the prospective study. A 3.0-T MR imaging including the diffusion kurtosis MR imaging sequence (b = 0, 500, 1000, 1500, 2000 s·mm2) was performed. A total of 210 regions of interest were confirmed and diffusion kurtosis MR imaging parameters were generated. The suspected synovitis or effusion was scored on a scale of 0 (effusion) to 3 (mild, moderate, severe synovitis), according to RA-MR imaging scoring system. The performance of diffusion kurtosis MR imaging parameters (the apparent diffusion coefficient [ADC], diffusion coefficient [D], and kurtosis [K]) in distinguishing different synovitis scores was evaluated.

RESULTS

There were significant differences in ADC, D, and K values among different synovitis scores (all P < 0.001). Synovitis scores were negatively correlated with the ADC and D values significantly (r = -0.725, -0.757, respectively, all P < 0.001), but positively correlated with the K values significantly (r = 0.429, P < 0.001). The area under the curve values of D, ADC, and K values were 0.884, 0.874, and 0.728 for differentiating score 1-3 from score 0, respectively. Diffusion coefficient and ADC had similar diagnostic performance, and both were higher than K in detecting synovitis. No significant difference was found between the ADC and D values in detecting synovitis.

CONCLUSIONS

The diffusion kurtosis MR imaging may be feasible as a noninvasive method for the diagnosis and grading of synovitis in the hands of RA patients, and the D and ADC values showed similar diagnostic performance, both of which were higher than K values.

Quantitative Imaging in Inflammatory Arthritis: Between Tradition and Innovation

Radiologic imaging is crucial for diagnosing and monitoring rheumatic inflammatory diseases. Particularly the emerging approach of precision medicine has increased the interest in quantitative imaging. Extensive research has shown that ultrasound allows a quantification of direct signs such as bone erosions and synovial thickness. Dual-energy X-ray absorptiometry and high-resolution peripheral quantitative computed tomography (CT) contribute to the quantitative assessment of secondary signs such as osteoporosis or lean mass loss. Magnetic resonance imaging (MRI), using different techniques and sequences, permits in-depth evaluations. For instance, the perfusion of the inflamed synovium can be quantified by dynamic contrast-enhanced imaging or diffusion-weighted imaging, and cartilage injury can be assessed by mapping (T1ρ, T2). Furthermore, the increased metabolic activity characterizing the inflammatory response can be reliably assessed by hybrid imaging (positron emission tomography [PET]/CT, PET/MRI). Finally, advances in intelligent systems are pushing forward quantitative imaging. Complex mathematical algorithms of lesions' segmentation and advanced pattern recognition are showing promising results.