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The increasing use of contrast-enhanced ultrasound (CEUS) has opened exciting new frontiers for musculoskeletal applications in adults and children. The most common musculoskeletal-related CEUS applications in adults are for detecting inflammatory joint diseases, imaging skeletal muscles and tendon perfusion, imaging postoperative viability of osseous and osseocutaneous tissue flaps, and evaluating the malignant potential of soft-tissue masses. Pediatric musculoskeletal-related CEUS has been applied for imaging juvenile idiopathic arthritis and Legg-Calvé-Perthes disease and for evaluating femoral head perfusion following surgical hip reduction in children with developmental hip dysplasia. CEUS can improve visualization of the capillary network in superficial and deep tissues and also in states of slow- or low-volume blood flow. In addition, measurements of blood flow imaging parameters performed by quantitative CEUS are valuable when monitoring the outcome of treatment interventions. In this review article we present current experience regarding a wide range of CEUS applications in musculoskeletal conditions in adults and children, with emphasis on the latter, and discuss imaging techniques and CEUS findings in musculoskeletal applications.The objective of this paper is to review common challenges when evaluating fractures in the setting of possible child abuse and approaches to navigate them. This paper reviews the variety of imaging modalities available for evaluating child abuse and the advantages/disadvantages of each. Additionally, the authors discuss management of equivocal fractures, including the impact of double-reading skeletal surveys. The complexity of dating the acuity of fractures in young children is discussed. Utilizing the knowledge of fracture type, fracture patterns and patient history, as well as in the setting of cardiopulmonary resuscitation, the authors provide methods for determining the likelihood of abuse.
The influence of pre-radiotherapy pain duration on post-treatment outcomes was assessed.
Patients that received palliative radiotherapy were analyzed in aprospective observational study investigating curative and palliative radiotherapy. Brief Pain Inventory data were acquired at baseline and 1, 2, and 3months after commencing irradiation. The pain response in terms of the index pain (i.e., pain caused by the irradiated tumors) was assessed using the International Consensus Endpoint. Patients were diagnosed with predominance of other pain (POP) if non-index pain of malignant or unknown origin was present and showed ahigher pain score than the index pain. Competing risk analyses were performed in which deaths without the pain endpoints were considered as competing events.
Of 229patients analyzed, 123 (54%) experienced apain response and 43(19%) experienced POP. Multivariable analyses using the Fine-Gray model revealed that patients with shorter pain duration (< 1month) had higher cumulative incidence of pain response (subdistribution hazard ratio, 2.43; 95% confidence interval [CI], 1.35-4.38) and POP (subdistribution hazard ratio, 4.22; 95% CI, 1.30-13.70) compared with patients with longer pain duration (≥ 4months). For patients with apain duration of less than 1month, cumulative incidence of pain response was estimated to be 69% (95% CI, 53-85%) and cumulative incidence of POP was estimated to be 15% (95% CI, 3-28%) at 1‑month follow-up.
Commencing palliative radiotherapy earlier may improve the probability of patients achieving apain response, although POP may be more frequent.
Commencing palliative radiotherapy earlier may improve the probability of patients achieving a pain response, although POP may be more frequent.
Virtual non-calcium (VNCa) images could improve assessment of plasma cell dyscrasias by enhancing visibility of bone marrow. Thus, VNCa images from dual-layer spectral CT (DLCT) were evaluated at different calcium suppression (CaSupp) indices, correlating results with apparent diffusion coefficient (ADC) values from MRI.
Thirty-two patients with initial clinical diagnosis of a plasma cell dyscrasia before any chemotherapeutic treatment, who had undergone whole-body low-dose DLCT and MRI within 2 months, were retrospectively enrolled. VNCa images with CaSupp indices ranging from 25 to 95 in steps of 10, conventional CT images, and ADC maps were quantitatively analyzed using region-of-interests in the vertebral bodies C7, T12, L1-L5, and the iliac bone. Independent two-sample t-test, Wilcoxon-signed-rank test, Pearson's correlation, and ROC analysis were performed.
Eighteen patients had a non-diffuse, 14 a diffuse infiltration in conventional MRI. A significant difference between diffuse and non-diffuse ithe evaluation of bone marrow infiltration in plasma cell dyscrasias. • VNCa measurements of vertebral bodies show significant correlation with ADC in MRI. • Averaging L1-L5 at CaSupp index 65 allowed quantitative detection of infiltration comparable to MRI ADC.
To develop a fully automated full-thickness cartilage segmentation and mapping of T1, T1ρ, and T2*, as well as macromolecular fraction (MMF) by combining a series of quantitative 3D ultrashort echo time (UTE) cones MR imaging with a transfer learning-based U-Net convolutional neural networks (CNN) model.
Sixty-five participants (20 normal, 29 doubtful-minimal osteoarthritis (OA), and 16 moderate-severe OA) were scanned using 3D UTE cones T1 (Cones-T1), adiabatic T1ρ (Cones-AdiabT1ρ), T2* (Cones-T2*), and magnetization transfer (Cones-MT) sequences at 3T. Manual segmentation was performed by two experienced radiologists, and automatic segmentation was completed using the proposed U-Net CNN model. The accuracy of cartilage segmentation was evaluated using the Dice score and volumetric overlap error (VOE). Pearson correlation coefficient and intraclass correlation coefficient (ICC) were calculated to evaluate the consistency of quantitative MR parameters extracted from automatic and manual segmentations. UTEcones imaging combined with U-Net CNN model was able to provide fully automated cartilage segmentation. PCNA-I1 in vitro • UTE parameters obtained from automatic segmentation were able to reliably provide a quantitative assessment of cartilage.
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