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Do MRI-detected erosions in the RA-risk phase of arthralgia reflect current or imminent radiographic erosions? A large longitudinal imaging study

 Published on 05/03/2026 |  Original article (Full-text)  | Quirine A Dumoulin et al. | Rheumatology. Volume 64(7).

Radiographic erosions of hands and feet are a hallmark of rheumatoid arthritis (RA) and treatment aims to prevent radiographic progression. In the at-risk phase of clinically suspect arthralgia (CSA), erosions on radiographs are rare but can be visible on MRI, which is a more sensitive imaging technique....

Diagnostic value and related factors of ultrasound-guided percutaneous needle biopsy in bone lesions suspicious for tumor

 Published on 26/02/2026 |  Original article (Full-text)  | Xu Shasha et al. | BMC Musculoskeletal Disorders 2026; 27(1): 150

Bone lesions suspicious for tumor represent a heterogeneous group of disorders encompassing suspected primary bone tumors and bone metastases [1]. Their entire diagnosis and treatment process relies heavily on accurate pathological diagnosis. Although suspected primary bone tumors account for only 0.2%...

Prospective study assessing the validity of accelerated 2D Fast Spin Echo (2D FSE) based high-resolution knee MRI and T2 mapping using deep learning reconstruction

 Published on 19/02/2026 |  Original article (Full-text)  | Wu Xiaxia et al. | BMC Musculoskeletal Disorders 2025; 27(1): 125

Knee fast spin echo based magnetic resonance imaging (FSE-MRI) is widely used to evaluate the structural injuries in meniscus, ligament and cartilage due to good tissue contrast and high spatial resolution [1, 2]. A routine knee FSE-based imaging protocol takes approximately 7–10 min on 3.0T MR...

Diagnostic value of IVIM and DCE-MRI parameters for differentiating benign from malignant bone tumors and their correlations with Ki-67 expression

 Published on 12/02/2026 |  Original article (Full-text)  | Lin Mingui et al. | BMC Cancer 2025; 26(1): 195

Bone tumors are complex histological types with aggressive malignancies and high metastatic rates, making accurate differentiation between benign and malignant lesions crucial for treatment decisions [1]. The current National Comprehensive Cancer Network (NCCN) guidelines recommend imaging modalities,...

Transformer-based and CNN-based models for clinically effective 2D and 3D pelvic bone segmentation in CT imaging

 Published on 05/02/2026 |  Original article (Full-text)  | Nesheli Shabnam Jafarpoor et al. | BMC Musculoskeletal Disorders 2025; 27(1): 68

Advancements in deep learning (DL) have revolutionized medical image analysis, particularly in automating and enhancing the precision of diagnostic tasks [1]. Among these, the segmentation of pelvic and hip structures stands out as both critically important and technically challenging [2, 3–4]....