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Background: The posterior tibial slope (PTS) has been proposed to be a radiographic risk factor for anterior cruciate ligament (ACL) injury in adults. However, this has not been well established in pediatric patients. Purpose: This systematic review and meta-analysis was performed to investigate any association between PTS and ACL tears in the pediatric population. Study Design: Systematic review and meta-analysis; Level of evidence, 4. Methods: A systematic review was performed to identify studies that examined the relationship between PTS, medial tibial slope (MTS), and lateral tibial slope (LTS) and ACL tears in children and adolescents aged ≤18 years. Full-text observational studies comparing PTS, MTS, and/or LTS values between pediatric (≤18 years of age) patients with and without ACL injury were included in this analysis. Review articles and case series were excluded. The authors calculated the mean difference (MD) via a restricted maximum-likelihood estimator for tau square and a Hartung-Knapp adjustment for random-effects model. Results: A total of 348 articles were identified in the initial database search, yielding 10 for final inclusion and analysis. There was no statistically significant association between PTS (MD, 1.13°; 95% CI, –0.55° to 2.80°; P =.10), MTS (MD, 0.36°; 95% CI, –0.37° to 1.10°; P =.27), or LTS (MD, 1.41°; 95% CI, –0.20° to 3.02°; P =.075) and risk for ACL injury in this population. Conclusion: The current study found that unlike what has been shown in adult populations, increased PTS may not be a significant risk factor for ACL tears in pediatric and adolescent patents. LTS was the only measured parameter that neared statistical significance, perhaps suggesting a potential role for this measurement in determining ACL risk if further research is done in this population. [ABSTRACT FROM AUTHOR]

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. Recently, the advent of photon-counting detectors (PCDs) has further advanced the potential of CT, at least in theory. Compared to conventional energy-integrating detectors (EIDs), PCDs provide superior spatial resolution, reduced noise, and intrinsic spectral imaging capabilities. This review briefly describes the technical advantages of PCDs. For each technical feature, the corresponding applications in musculoskeletal imaging will be discussed, including high-spatial resolution imaging for the assessment of bone and crystal deposits, low-dose applications such as whole-body CT, as well as spectral imaging applications including the characterization of crystal deposits and imaging of metal hardware. Finally, we will highlight the potential of PCD-CT in emerging applications, underscoring the need for further preclinical and clinical validation to unleash its full clinical potential. [ABSTRACT FROM AUTHOR]

Treatment outcomes for Achilles tendon ruptures depend upon prompt diagnosis and management. A local study in 2018 highlighted inefficiencies in patient management, and a revised protocol was introduced allowing investigation and referral to be initiated by other healthcare professionals. This retrospective audit evaluates the impact of this on the timescale from presentation to treatment. It analyzes all suspected Achilles tendon ruptures within one District General Hospital from April 2021 to March 2022. Data regarding patient timelines was compared to the 2018 study. Over 12 months, 99 patients were referred to Virtual Fracture Clinic, 87.8% (n = 87) of which had a complete or partial tear on ultrasound scan (USS). In comparison to 2018, the average time from presentation to USS request reduced from 2.9 to 1.1 days (p <. 01). 95% were scanned within one week of USS request and 31.3% within 48 hours (81% and 18%, previously). The average time from USS request to scan went from 6.8 to 3.2 days (p <. 01). The time from presentation to treatment decision reduced from 10.9 to 6.2 days (p <. 01) and the percentage of patients with a definitive treatment plan within one week increased from 34.5% to 74.2% (p <. 01). Patients required 0.8 fewer appointments (p <. 01) giving an estimated total saving of $10,110 ($128 per patient) during the analyzed period. The Achilles Tendon Rupture Pathway has significantly improved the proportion of patients undergoing USS within 48 hours and receiving a treatment decision within one week. This study demonstrates an efficient, cost-saving and replicable pathway for Achilles tendon ruptures. [ABSTRACT FROM AUTHOR]

Purpose: Muscle architecture is associated with motor performance and muscle injury. While muscle architecture and knee-flexor eccentric strength change with growth, the influence of anthropometric measures on these properties is rarely considered. This study aimed to investigate the relationship between hamstring muscle architecture and knee-flexor eccentric strength with anthropometric measurements. Methods: Sixty male footballers (16.6 [1.05] y) from the U16, U17, and U19 teams of an elite soccer club were included in this study. Fascicle length, pennation angle, and muscle thickness of the biceps femoris long head (BFlh) and semimembranosus muscles were measured in both legs using ultrasound. Knee-flexor eccentric strength, height, body mass, leg length, femur length, and peak height velocity (PHV) were measured within 1 week of the ultrasound images. A stepwise regression and 1-way analysis of variance tests were used to evaluate the effects of age, maturity, and anthropometric measurements on muscle properties. Results: Variance within BFlh and semimembranosus muscle thickness (r <.61), semimembranosus pennation angle (r <.58), and knee-flexor eccentric strength (r =.50) were highly related to body mass. We observed no significant correlations between muscle architecture and age (P >.29). However, moderately greater BFlh muscle thickness was shown for the post-PHV compared with the PHV group (effect size ± 90% CI: 0.72 ± 0.49). Conclusions: In conclusion, weak correlations between muscle architecture and anthropometric measurements suggest that other factors (ie, genetics, training regimen) influence muscle architecture. The moderate effect of maturity on BFlh muscle thickness strongly suggests post-PHV hypertrophy of the BFlh muscle. Our results confirmed previous findings that eccentric knee-flexor strength is influenced by body mass. [ABSTRACT FROM AUTHOR]

Summary In this study, we compared the fat‐saturated (FS) and non‐FS turbo spin echo (TSE) magnetic resonance imaging knee sequences reconstructed conventionally (conventional‐TSE) against a deep learning‐based reconstruction of accelerated TSE (DL‐TSE) scans. A total of 232 conventional‐TSE and DL‐TSE image pairs were acquired for comparison. For each consenting patient, one of the clinically acquired conventional‐TSE proton density‐weighted sequences in the sagittal or coronal planes (FS and non‐FS), or in the axial plane (non‐FS), was repeated using a research DL‐TSE sequence. The DL‐TSE reconstruction resulted in an image resolution that increased by at least 45% and scan times that were up to 52% faster compared to the conventional TSE. All images were acquired on a MAGNETOM Vida 3T scanner (Siemens Healthineers AG, Erlangen, Germany). The reporting radiologists, blinded to the acquisition time, were requested to qualitatively compare the DL‐TSE against the conventional‐TSE reconstructions. Despite having a faster acquisition time, the DL‐TSE was rated to depict smaller structures better for 139/232 (60%) cases, equivalent for 72/232 (31%) cases and worse for 21/232 (9%) cases compared to the conventional‐TSE. Overall, the radiologists preferred the DL‐TSE reconstruction in 124/232 (53%) cases and stated no preference, implying equivalence, for 65/232 (28%) cases. DL‐TSE reconstructions enabled faster acquisition times while enhancing spatial resolution and preserving the image contrast. From these results, the DL‐TSE provided added or comparable clinical value and utility in less time. DL‐TSE offers the opportunity to further reduce the overall examination time and improve patient comfort with no loss in diagnostic accuracy. [ABSTRACT FROM AUTHOR]

Introduction Methods Results Conclusion There is an increasing incidence of hip and pelvic fractures with an ageing population. Accurate and timely diagnosis is important in the emergency setting. While magnetic resonance imaging (MRI) is the gold standard, it is a limited resource. Dual energy CT (DECT) is comparable to MRI in detection of bone marrow oedema. Our hospital was the first centre in our country to introduce DECT for occult pelvic fractures. We aimed to describe its utility in occult pelvic fractures since commencement.Retrospective study of consecutive pelvic bone CT (conventional or DECT) performed to look for an occult fracture over a 10‐month period. Sensitivity and specificity calculated based on clinical and imaging follow‐up. ROC study performed where three observers visually interpreted pelvic radiographs, conventional CT and DECT and scored their confidence for an acute fracture from 1 to 5. The null hypothesis was that DECT would not improve observer performance compared with conventional CT.DECT studies were performed on 178 patients of whom 84 (47%) had acute fractures. Sensitivity on audit was 99% and specificity was 100%. ROC analysis showed that, for all observers, the area under curve increased from radiograph to conventional CT to DECT. The difference between conventional CT and DECT was statistically significant for all observers where metal implants were not present.DECT improves accuracy compared to conventional CT in the diagnosis of occult pelvic fractures and should be used for this indication when available. [ABSTRACT FROM AUTHOR]

Objectives: To assess the T1 and T2 values of bone marrow lesions in spine and pelvis derived from magnetic resonance fingerprinting (MRF) and to evaluate the differences in values among bone metastasis, red marrow and fatty marrow. Methods: Sixty patients who underwent lumbar spine and pelvic MRI with magnetic resonance fingerprinting were retrospectively included. Among eligible patients, those with bone metastasis, benign red marrow deposition and normal fatty marrow were identified. Two radiologists independently measured the T1 and T2 values from metastatic bone lesions, fatty marrow, and red marrow deposition on three-dimensional-magnetic resonance fingerprinting. Intergroup comparison and interobserver agreement were analyzed. Results: T1 relaxation time was significantly higher in osteoblastic metastasis than in red marrow (1674.6 ± 436.3 vs 858.7 ± 319.5, p <.001). Intraclass correlation coefficients for T1 and T2 values were 0.96 (p < 0.001) and 0.83 (p < 0.001), respectively. T2 relaxation time of osteoblastic metastasis and red marrow deposition had no evidence of a difference (osteoblastic metastasis, 57.9 ± 25.0 vs red marrow, 58.0 ± 34.4, p = 0.45), as were the average T2 values of osteolytic metastasis and red marrow deposition (osteolytic metastasis, 45.3 ± 15.1 vs red marrow, 58.0 ± 34.4, p = 0.63). Conclusions: We report the feasibility of three-dimensional-magnetic resonance fingerprinting based quantification of bone marrow to differentiate bone metastasis from red marrow. Simultaneous T1 and T2 quantification of metastasis and red marrow deposition was possible in spine and pelvis and showed significant different values with excellent inter-reader agreement. Advance in knowledge: T1 values from three-dimensional-magnetic resonance fingerprinting might be a useful quantifier for evaluating bone marrow lesions. [ABSTRACT FROM AUTHOR]

As per recommendations from the European Society of Radiology and the European Union of Medical Specialists, upon completion of level 3 radiology training, an objective assessment of the attained standards, aligned with national customs and practices, should take place. A subspecialty exam should ideally be an integral part of the training completion process. Among 10 of 13 European subspecialty societies currently offering a European subspecialty diploma, the European Society of Musculoskeletal Radiology (ESSR) diploma program was formally introduced by the ESSR in 2003. This article describes the evolution of the ESSR diploma, encompassing the current diploma program, validation procedures, endorsements, and future perspectives. Additionally, insights from a brief survey among ESSR diploma holders is shared, offering valuable tips for prospective candidates aiming to navigate the examination process successfully. [ABSTRACT FROM AUTHOR]

Whole‐body magnetic resonance imaging (WB‐MRI) has gained importance in the field of musculoskeletal oncology over the last decades, consisting in a one‐stop imaging method that allows a wide coverage assessment of both bone and soft tissue involvement. WB‐MRI is valuable for diagnosis, staging, and follow‐up in many oncologic diseases and is especially advantageous for the pediatric population since it avoids redundant examinations and exposure to ionizing radiation in patients who often undergo long‐term surveillance. Its clinical application has been studied in many pediatric neoplasms, such as cancer predisposition syndromes, Langerhans cell histiocytosis, lymphoma, sarcomas, and neuroblastoma. The addition of diffusion‐weighted sequences allows functional evaluation of neoplastic lesions, which is helpful in the assessment of viable tumor and response to treatment after neoadjuvant or adjuvant therapy. WB‐MRI is an excellent alternative to fluorodeoxyglucose‐positron emission tomography/computed tomography in oncologic children, with comparable accuracy and the convenience of being radiation‐free, fast to perform, and available at a similar cost. The development of new techniques and protocols makes WB‐MRI increasingly faster, safer, and more accessible, and it is important for referring physicians and radiologists to recognize the role of this imaging method in pediatric oncology. Level of Evidence: 4 Technical Efficacy Stage: 2 [ABSTRACT FROM AUTHOR]

ObjectiveTo evaluate the feasibility and capability of UT in detecting musculoskeletal system lesions in the limbs and to explore its image quality.Materials and Methods The Institutional Review Board has approved this prospective single-center study. This study included participants with various musculoskeletal and neurologic disorders in the limbs who provided written consent from October 2022 to April 2023. In addition to other radiological examinations (X-rays, CT, or MRI) and conventional handheld ultrasound scans requested by clinicians based on the conditions, each participant also underwent UT scanning using our developed limb ultrasound imaging system during the same period. Four radiologists and ultrasound physicians with more than five years of experience in musculoskeletal diagnostics analyzed the two-dimensional and three-dimensional images of the examination area.Results Overall, 50 participants were evaluated (mean age, 36 years ± 18 [SD]; 26 males). The conditions included musculoskeletal tumors (n = 10), postoperative follow-up of musculoskeletal tumors (n = 20), peripheral nerve disorders in the limbs (n = 10) and postoperative pain in orthopedic surgery (n = 10). In all UT images, the region of interest was completely displayed, and internal structures such as muscles and nerves were clearly visible. Compared to conventional ultrasound images, the reconstructed three-dimensional images intuitively displayed the relationship between the lesions and surrounding tissues. Furthermore, UT did not exhibit metal artifacts when observing soft tissues around metallic implants, providing more comprehensive soft tissue information and more intuitive stereoscopic images.ConclusionClinical results of the UT system have demonstrated its feasibility as an automated and standardized imaging technique for musculoskeletal imaging, providing a new imaging modality for the diagnosis of musculoskeletal diseases in the human body.

To evaluate the standalone performance of a deep learning (DL) based fracture detection tool on extremity radiographs and assess the performance of radiologists and emergency physicians in identifying fractures of the extremities with and without the DL aid. The DL tool was previously developed using 132,000 appendicular skeletal radiographs divided into 87% training, 11% validation, and 2% test sets. Stand-alone performance was evaluated on 2626 de-identified radiographs from a single institution in Ohio, including at least 140 exams per body region. Consensus from three US board-certified musculoskeletal (MSK) radiologists served as ground truth. A multi-reader retrospective study was performed in which 24 readers (eight each of emergency physicians, non-MSK radiologists, and MSK radiologists) identified fractures in 186 cases during two independent sessions with and without DL aid, separated by a one-month washout period. The accuracy (area under the receiver operating curve), sensitivity, specificity, and reading time were compared with and without model aid. The model achieved a stand-alone accuracy of 0.986, sensitivity of 0.987, and specificity of 0.885, and high accuracy (> 0.95) across stratification for body part, age, gender, radiographic views, and scanner type. With DL aid, reader accuracy increased by 0.047 (95% CI: 0.034, 0.061; p = 0.004) and sensitivity significantly improved from 0.865 (95% CI: 0.848, 0.881) to 0.955 (95% CI: 0.944, 0.964). Average reading time was shortened by 7.1 s (27%) per exam. When stratified by physician type, this improvement was greater for emergency physicians and non-MSK radiologists. The DL tool demonstrated high stand-alone accuracy, aided physician diagnostic accuracy, and decreased interpretation time. [ABSTRACT FROM AUTHOR]

Spectral CT represents a novel imaging approach that can noninvasively visualize, quantify, and characterize many musculoskeletal pathologies. This modality has revolutionized the field of radiology by capturing CT attenuation data across multiple energy levels and offering superior tissue characterization while potentially minimizing radiation exposure compared to traditional enhanced CT scans. Despite MRI being the preferred imaging method for many musculoskeletal conditions, it is not viable for some patients. Moreover, this technique is time-consuming, costly, and has limited availability in many healthcare settings. Thus, spectral CT has a considerable role in improving the diagnosis, characterization, and treatment of gout, inflammatory arthropathies, degenerative disc disease, osteoporosis, occult fractures, malignancies, ligamentous injuries, and other bone-marrow pathologies. This comprehensive review will delve into the diverse capabilities of dual-energy CT, a subset of spectral CT, in addressing these musculoskeletal conditions and explore potential future avenues for its integration into clinical practice. [ABSTRACT FROM AUTHOR]

Background: Dual‐energy (DE) detection of bone marrow edema (BME) would be a valuable new diagnostic capability for the emerging orthopedic cone‐beam computed tomography (CBCT) systems. However, this imaging task is inherently challenging because of the narrow energy separation between water (edematous fluid) and fat (health yellow marrow), requiring precise artifact correction and dedicated material decomposition approaches. Purpose: We investigate the feasibility of BME assessment using kV‐switching DE CBCT with a comprehensive CBCT artifact correction framework and a two‐stage projection‐ and image‐domain three‐material decomposition algorithm. Methods: DE CBCT projections of quantitative BME phantoms (water containers 100–165 mm in size with inserts presenting various degrees of edema) and an animal cadaver model of BME were acquired on a CBCT test bench emulating the standard wrist imaging configuration of a Multitom Rax twin robotic x‐ray system. The slow kV‐switching scan protocol involved a 60 kV low energy (LE) beam and a 120 kV high energy (HE) beam switched every 0.5° over a 200° angular span. The DE CBCT data preprocessing and artifact correction framework consisted of (i) projection interpolation onto matched LE and HE projections views, (ii) lag and glare deconvolutions, and (iii) efficient Monte Carlo (MC)‐based scatter correction. Virtual non‐calcium (VNCa) images for BME detection were then generated by projection‐domain decomposition into an Aluminium (Al) and polyethylene basis set (to remove beam hardening) followed by three‐material image‐domain decomposition into water, Ca, and fat. Feasibility of BME detection was quantified in terms of VNCa image contrast and receiver operating characteristic (ROC) curves. Robustness to object size, position in the field of view (FOV) and beam collimation (varied 20–160 mm) was investigated. Results: The MC‐based scatter correction delivered > 69% reduction of cupping artifacts for moderate to wide collimations (> 80 mm beam width), which was essential to achieve accurate DE material decomposition. In a forearm‐sized object, a 20% increase in water concentration (edema) of a trabecular bone‐mimicking mixture presented as ∼15 HU VNCa contrast using 80–160 mm beam collimations. The variability with respect to object position in the FOV was modest (< 15% coefficient of variation). The areas under the ROC curve were > 0.9. A femur‐sized object presented a somewhat more challenging task, resulting in increased sensitivity to object positioning at 160 mm collimation. In animal cadaver specimens, areas of VNCa enhancement consistent with BME were observed in DE CBCT images in regions of MRI‐confirmed edema. Conclusion: Our results indicate that the proposed artifact correction and material decomposition pipeline can overcome the challenges of scatter and limited spectral separation to achieve relatively accurate and sensitive BME detection in DE CBCT. This study provides an important baseline for clinical translation of musculoskeletal DE CBCT to quantitative, point‐of‐care bone health assessment. [ABSTRACT FROM AUTHOR]

Purpose of Review: Musculoskeletal imaging serves a critical role in clinical care and orthopaedic research. Image-based modeling is also gaining traction as a useful tool in understanding skeletal morphology and mechanics. However, there are fewer studies on advanced imaging and modeling in pediatric populations. The purpose of this review is to provide an overview of recent literature on skeletal imaging modalities and modeling techniques with a special emphasis on current and future uses in pediatric research and clinical care. Recent Findings: While many principles of imaging and 3D modeling are relevant across the lifespan, there are special considerations for pediatric musculoskeletal imaging and fewer studies of 3D skeletal modeling in pediatric populations. Improved understanding of bone morphology and growth during childhood in healthy and pathologic patients may provide new insight into the pathophysiology of pediatric-onset skeletal diseases and the biomechanics of bone development. Clinical translation of 3D modeling tools developed in orthopaedic research is limited by the requirement for manual image segmentation and the resources needed for segmentation, modeling, and analysis. Summary: This paper highlights the current and future uses of common musculoskeletal imaging modalities and 3D modeling techniques in pediatric orthopaedic clinical care and research. [ABSTRACT FROM AUTHOR]

Abstract Positioning in an MRI can influence quantitative measures of the muscle. The goal of this pilot study was to assess the influence of different levels of knee elevation during MRI on the predicted cross-sectional muscle shape in the thigh. Data were acquired in three healthy male participants (age: 29.3 ± 5.1y, height: 181.3 ± 6.4cm, weight: 85.1 ± 3.7kg). For each participant, three MRI scans were taken by a trained radiographer with low, moderate and high knee elevation. The shape of the anatomical cross-sectional areas of the hamstrings and quadriceps in three leg positionings were compared by fitting ellipsoidal functions to the segmented MRI data and calculating the so-called J index for every image slice using the Python scripting language. Different levels of knee elevation resulted in apparent changes in J index for all muscles except vastus medialis. Thereby, the changes were overall more pronounced in the hamstrings compared to the quadriceps. Particularly, by elevating the knee from 8 to 15 degree, the percentage changes in J index were between 7.2 and 13.6% for the hamstrings and between 0.5 and 3.3% for the quadriceps, respectively. For assessing the musculoskeletal properties by means of MRI, a standardized positioning of the leg is required and the knee joint angle should be controlled.

Photoacoustic (PA) imaging has been extensively investigated in application in biomedicine over the last decade. This article reviews the motivation, significance, and system configuration of a few ongoing studies of implementing photoacoustic technology in musculoskeletal imaging, abdominal imaging, and interstitial sensing. The review then summarizes the methodologies and latest progress of relevant projects. Finally, we discuss our expectations for the future of translation research in PA imaging.

Positioning in an MRI can influence quantitative measures of the muscle. The goal of this pilot study was to assess the influence of different levels of knee elevation during MRI on the predicted cross-sectional muscle shape in the thigh. Data were acquired in three healthy male participants (age: 29.3 ± 5.1y, height: 181.3 ± 6.4cm, weight: 85.1 ± 3.7kg). For each participant, three MRI scans were taken by a trained radiographer with low, moderate and high knee elevation. The shape of the anatomical cross-sectional areas of the hamstrings and quadriceps in three leg positionings were compared by fitting ellipsoidal functions to the segmented MRI data and calculating the so-called J index for every image slice using the Python scripting language. Different levels of knee elevation resulted in apparent changes in J index for all muscles except vastus medialis. Thereby, the changes were overall more pronounced in the hamstrings compared to the quadriceps. Particularly, by elevating the knee from 8 to 15 degree, the percentage changes in J index were between 7.2 and 13.6% for the hamstrings and between 0.5 and 3.3% for the quadriceps, respectively. For assessing the musculoskeletal properties by means of MRI, a standardized positioning of the leg is required and the knee joint angle should be controlled. [ABSTRACT FROM AUTHOR]

BACKGROUND: Shoulder pain is one of the most common presentations in the orthopedic clinic. Multiple factors have been found to cause shoulder pain. Radiographs and ultrasound are widely available, relatively cheap modalities in assessing shoulder pain. The aim of this study is to assess the radiographic and sonographic imaging patterns of shoulder pain. METHODS: A descriptive prospective cross-sectional hospitalbased study was conducted at the Department of Radiology of Tikur Anbessa Specialized Hospital among patients with shoulder pain that came for imaging from August 2021-January 2022. RESULT: Of the 73 patients with shoulder pain included in the study, 67% were females while 33% males. The mean age was 51.7 years. Radiographs found pathology in 53% of the cases. Acromioclavicular joint osteoarthritis, greater tuberosity degenerative changes, rotator cuff calcification were common radiographic findings. Ultrasound detected pathologies in 87% of the cases. The common pathologies were rotator cuff pathologies, biceps tendon pathologies, acromioclavicular joint degeneration, greater tuberosity degenerative changes, subacromial subdeltoid bursitis, and adhesive capsulitis. There was a significant association between greater tuberocity degenerative changes and supraspinatous pathologies with age, greater tuberocity degenerative changes with supraspinatous pathologies, acromiohumeral distance of <7mm with supraspinatous pathology. CONCLUSION: Radiographs and ultrasound are valuable imaging modalities for shoulder pain. Low acromiohumeral interval, greater tuberosity degenerative changes, and acromioclavicular joint osteoarthritis are associated with rotator cuff tears. Rotator cuff pathologies are the most common pathologies observed in ultrasound. We recommend ultrasound to be second step after radiograph due to its low cost and wide availability. [ABSTRACT FROM AUTHOR]

To indicate that 3D low-frequency ultrasound tomography with 3D data acquisition (volography) is a safe, low-cost, high-resolution, whole-body meso-scale medical imaging modality that gives high-resolution quantitatively accurate clinically relevant images. We compare the speed of sound accuracy in various organs in situ. We validate our 3D ultrasound tomography images using MRI and gross section anatomy as ground truth in 10-day old piglets. Data acquisition is accomplished with the QT Scanner at ∼1 MHz center frequency, and array transceivers for reflection data @3.6 MHz. Images are generated with unique model-based 3D ultrasound tomography algorithms. In reflection, we use 3D refraction-corrected ray tracing to allow 360° compounding with sub-mm resolution. Four 10–12 day old pigs were anesthetized and whole-body images were acquired via low-frequency transmitted ultrasound and 3T MRI. Tissue values were within an average of 1.07% (0.5%) of the literature values. We also show the detailed correlation of our images with MRI images in axial, coronal, and sagittal views. Volography images of a piglet show high resolution and quantitative accuracy, showing more contrast &resolution than 3T MRI, including the kidney showing medulla, cortex and fibrous cover, and small intestines with ileal lumen detail visible. We establish that 3D ultrasound tomography (volography), yields high-resolution quantitatively accurate images whole-body images in presence of bone and air which are potentially clinically useful but have not appeared in the literature. [ABSTRACT FROM AUTHOR]

Purpose: To validate a novel deep learning‐based metal artifact correction (MAC) algorithm for CT, namely, AI‐MAC, in preclinical setting with comparison to conventional MAC and virtual monochromatic imaging (VMI) technique. Materials and methods: An experimental phantom was designed by consecutively inserting two sets of pedicle screws (size Φ 6.5 × 30‐mm and Φ 7.5 × 40‐mm) into a vertebral specimen to simulate the clinical scenario of metal implantation. The resulting MAC, VMI, and AI‐MAC images were compared with respect to the metal‐free reference image by subjective scoring, as well as by CT attenuation, image noise, signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and correction accuracy via adaptive segmentation of the paraspinal muscle and vertebral body. Results: The AI‐MAC and VMI images showed significantly higher subjective scores than the MAC image (all p < 0.05). The SNRs and CNRs on the AI‐MAC image were comparable to the reference (all p > 0.05), whereas those on the VMI were significantly lower (all p < 0.05). The paraspinal muscle segmented on the AI‐MAC image was 4.6% and 5.1% more complete to the VMI and MAC images for the Φ 6.5 × 30‐mm screws, and 5.0% and 5.1% for the Φ 7.5 × 40‐mm screws, respectively. The vertebral body segmented on the VMI was closest to the reference, with only 3.2% and 7.4% overestimation for Φ 6.5 × 30‐mm and Φ 7.5 × 40‐mm screws, respectively. Conclusions: Using metal‐free reference as the ground truth for comparison, the AI‐MAC outperforms VMI in characterizing soft tissue, while VMI is useful in skeletal depiction. [ABSTRACT FROM AUTHOR]

Quantitative magnetic resonance imaging (qMRI) measures have provided insights into the composition, quality, and structure‐function of musculoskeletal tissues. Low signal‐to‐noise ratio has limited application to tendon. Advances in scanning sequences and sample positioning have improved signal from tendon allowing for evaluation of structure and function. The purpose of this study was to elucidate relationships between tendon qMRI metrics (T1, T2, T1ρ and diffusion tensor imaging [DTI] metrics) with tendon tissue mechanics, collagen concentration and organization. Sixteen human Achilles tendon specimens were collected, imaged with qMRI, and subjected to mechanical testing with quantitative polarized light imaging. T2 values were related to tendon mechanics [peak stress (rsp = 0.51, p = 0.044), equilibrium stress (rsp = 0.54, p = 0.033), percent relaxation (rsp = −0.55, p = 0.027), hysteresis (rsp = −0.64, p = 0.007), linear modulus (rsp = 0.67, p = 0.009)]. T1ρ had a statistically significant relationship with percent relaxation (r = 0.50, p = 0.048). Collagen content was significantly related to DTI measures (range of r = 0.56–0.62). T2 values from a single slice of the midportion of human Achilles tendons were strongest predictors of tendon tensile mechanical metrics. DTI diffusivity indices (mean diffusivity, axial diffusivity, radial diffusivity) were strongly correlated with collagen content. These findings build on a growing body of literature supporting the feasibility of qMRI to characterize tendon tissue and noninvasively measure tendon structure and function. Statement of Clinical Significance: Quantitative MRI can be applied to characterize tendon tissue and is a noninvasive measure that relates to tendon composition and mechanical behavior. [ABSTRACT FROM AUTHOR]

L'intelligence artificielle (IA) suscite un intérêt croissant auprès des chercheurs, cliniciens et radiologues. Le deep learning (apprentissage profond) est une forme d'IA dérivée du machine learning (apprentissage automatique) qui permet de générer des algorithmes capables d'identifier de façon autonome les caractéristiques d'imagerie les plus optimales pour résoudre une problématique donnée. Les réseaux de neurones convolutifs (CNN) constituent l'architecture la plus courante pour le traitement d'images médicales par deep learning. Les applications du deep learning en imagerie ostéoarticulaire sont la détection d'anomalies à la radiographie ou à l'imagerie en coupe transversale (scanner, IRM), comme les fractures, les déchirures méniscales, les ruptures du ligament croisé antérieur, les lésions dégénératives du rachis ou les métastases osseuses, la classification des images comme la sténose lombaire, la dégénérescence discale ou l'évaluation de l'âge osseux mais aussi la segmentation comme par exemple celle du cartilage. Le développement de logiciels a déjà modifié la pratique courante de l'imagerie orthopédique grâce à la détection automatique des fractures sur les radiographies. L'amélioration des protocoles d'acquisition et de la qualité des images scanner à faible dose, la réduction du temps d'acquisition en IRM ou l'amélioration de la résolution des images obtenues par résonance magnétique sont désormais possibles par la technique du deep learning. Le deep learning est une approche automatisée qui permet de se décharger des processus manuels fastidieux et d'améliorer les performances des praticiens. Cet article propose un état des lieux de l'IA appliquée à l'imagerie ostéo-articulaire. The interest of researchers, clinicians and radiologists, in artificial intelligence (AI) continues to grow. Deep learning is a subset of machine learning, in which the computer algorithm itself can determine the optimal imaging features to answer a clinical question. Convolutional neural networks are the most common architecture for performing deep learning on medical images. The various musculoskeletal applications of deep learning are the detection of abnormalities on X-rays or cross-sectional images (CT, MRI), for example the detection of fractures, meniscal tears, anterior cruciate ligament tears, degenerative lesions of the spine, bone metastases, classification of e.g. dural sac stenosis, degeneration of intervertebral discs, assessment of skeletal age, and segmentation, for example of cartilage. Software developments are already impacting the daily practice of orthopedic imaging by automatically detecting fractures on radiographs. Improving image acquisition protocols, improving the quality of low-dose CT images, reducing acquisition times in MRI, or improving MR image resolution is possible through deep learning. Deep learning offers an automated way to offload time-consuming manual processes and improve practitioner performance. This article reviews the current state of AI in musculoskeletal imaging. [ABSTRACT FROM AUTHOR]

Interpreting radiographs in emergency settings is stressful and a burden for radiologists. The main objective was to assess the performance of three commercially available artificial intelligence (AI) algorithms for detecting acute peripheral fractures on radiographs in daily emergency practice. Radiographs were collected from consecutive patients admitted for skeletal trauma at our emergency department over a period of 2 months. Three AI algorithms—SmartUrgence, Rayvolve, and BoneView—were used to analyze 13 body regions. Four musculoskeletal radiologists determined the ground truth from radiographs. The diagnostic performance of the three AI algorithms was calculated at the level of the radiography set. Accuracies, sensitivities, and specificities for each algorithm and two-by-two comparisons between algorithms were obtained. Analyses were performed for the whole population and for subgroups of interest (sex, age, body region). A total of 1210 patients were included (mean age 41.3 ± 18.5 years; 742 [61.3%] men), corresponding to 1500 radiography sets. The fracture prevalence among the radiography sets was 23.7% (356/1500). Accuracy was 90.1%, 71.0%, and 88.8% for SmartUrgence, Rayvolve, and BoneView, respectively; sensitivity 90.2%, 92.6%, and 91.3%, with specificity 92.5%, 70.4%, and 90.5%. Accuracy and specificity were significantly higher for SmartUrgence and BoneView than Rayvolve for the whole population (P <.0001) and for subgroups. The three algorithms did not differ in sensitivity (P =.27). For SmartUrgence, subgroups did not significantly differ in accuracy, specificity, or sensitivity. For Rayvolve, accuracy and specificity were significantly higher with age 27-36 than ≥53 years (P =.0029 and P =.0019). Specificity was higher for the subgroup knee than foot (P =.0149). For BoneView, accuracy was significantly higher for the subgroups knee than foot (P =.0006) and knee than wrist/hand (P =.0228). Specificity was significantly higher for the subgroups knee than foot (P =.0003) and ankle than foot (P =.0195). The performance of AI detection of acute peripheral fractures in daily radiological practice in an emergency department was good to high and was related to the AI algorithm, patient age, and body region examined. [ABSTRACT FROM AUTHOR]

There is no universally accepted standard technique for measuring the scapholunate interval and no specific sources of measurement error have been identified. We aimed to establish a set of normal radiological criteria for the scapholunate interval that could be used in comparative studies of wrist pathology to determine interobserver reliability and to identify potential errors that might influence measurements. A total of 60 healthy volunteers participated in the study. Scapholunate interval was measured by three independent observers using X-ray, CT, and US in four positions, including neutral, fist, radial and ulnar deviation. Inter-observer reliability was tested using intraclass correlation coefficient. Generalizability theory was applied to evaluate specific sources of measurement error related to participant, observer, imaging modality and measurement position. In neutral position, the scapholunate interval measured by X-ray, CT, and US was 3.1 mm, 3.5 mm and 3.5 mm respectively. The interval remained constant during fist and radial deviation but decreased during ulnar deviation. Correlation coefficients ranged from 0.874 to 0.907 for X-ray, 0.773–0.881 for CT and 0.964–0.979 for US. In the generalizability study, the participant x modality x position interaction accounted for the largest proportion of total variance (29%). X-ray, CT, and US are reliable modalities for measuring the scapholunate interval, with US having the highest reliability. Participant and position factors may independently contribute to measurement error. Therefore, standardized measurement positions are recommended to obtain reliable measurement results. [ABSTRACT FROM AUTHOR]

Spectral CT represents a novel imaging approach that can noninvasively visualize, quantify, and characterize many musculoskeletal pathologies. This modality has revolutionized the field of radiology by capturing CT attenuation data across multiple energy levels and offering superior tissue characterization while potentially minimizing radiation exposure compared to traditional enhanced CT scans. Despite MRI being the preferred imaging method for many musculoskeletal conditions, it is not viable for some patients. Moreover, this technique is time-consuming, costly, and has limited availability in many healthcare settings. Thus, spectral CT has a considerable role in improving the diagnosis, characterization, and treatment of gout, inflammatory arthropathies, degenerative disc disease, osteoporosis, occult fractures, malignancies, ligamentous injuries, and other bone-marrow pathologies. This comprehensive review will delve into the diverse capabilities of dual-energy CT, a subset of spectral CT, in addressing these musculoskeletal conditions and explore potential future avenues for its integration into clinical practice.

A novel 3D ultrasound tomographic (3D UT) method (called volography) that creates a speed of sound (SOS) map and a reflection modality that is co-registered are reviewed and shown to be artifact free even in the presence of high contrast and thus shown to be applicable for breast, orthopedic and pediatric clinical use cases. The 3D UT images are almost isotropic with mm resolution and the reflection image is compounded over 360 degrees to create sub-mm resolution in plane. The physics of ultrasound scattering requires 3D modeling and the concomitant high computational cost is ameliorated with a bespoke algorithm (paraxial approximation – discussed here) and Nvidia GPUs. The resulting reconstruction times are tabulated for clinical relevance. The resulting SOS map is used to create a refraction corrected reflection image at ∼3.6 MHz center frequency. The transmission data are highly redundant, collected over 360 degrees and at 2 mm levels by true matrix receiver arrays yielding 3D data. The high resolution SOS and attenuation maps and reflection images are used in a segmentation algorithm that optimally utilizes this information to segment out glandular, ductal, connective tissue, fat and skin. These volumes are used to estimate breast density, an important correlate to cancer. Multiple SOS images of breast, knee and segmentations of breast glandular and ductal tissue are shown. Spearman rho is calculated between our volumetric breast density estimates and Volpara™ from mammograms, as 0.9332. Multiple timing results are shown and indicate the variability of the reconstruction times with breast size and type but are ∼30 minutes for average size breast. The timing results with the 3D algorithm indicate ∼60 minute reconstruction times for pediatrics with two Nvidia GPUs. Characteristic variations of the glandular and ductal volumes over time are shown. The SOS from QT images are compared with literature values. The results of a multi-reader multi-case (MRMC) study are shown that compares the 3D UT with full field digital mammography and resulted in an average increase in ROC AUC of 10%. Orthopedic (knee) 3D UT images compared with MRI indicate regions of zero signal in the MRI are clearly displayed in the QT image. Explicit representation of the acoustic field is shown, indicating its 3D nature. An image of in vivo breast with the chest muscle is shown and speed of sound agreement with literature values are tabulated. Reference is made to a recently published paper validating pediatric imaging. The high Spearman rho indicates a monotonic (not necessarily linear) relation between our method and industry gold standard Volpara™ density. The acoustic field verifies the need for 3D modeling. The MRMC study, the orthopedic images, breast density study, and references, all indicate the clinical utility of the SOS and reflection images. The QT image of the knee shows its ability to monitor tissue the MRI cannot. The included references and images herein indicate the proof of concept for 3D UT as a viable and valuable clinical adjunct in pediatric and orthopedic situations in addition to the breast imaging. [ABSTRACT FROM AUTHOR]

Photoacoustic (PA) imaging has been extensively investigated in application in biomedicine over the last decade. This article reviews the motivation, significance, and system configuration of a few ongoing studies of implementing photoacoustic technology in musculoskeletal imaging, abdominal imaging, and interstitial sensing. The review then summarizes the methodologies and latest progress of relevant projects. Finally, we discuss our expectations for the future of translation research in PA imaging. [ABSTRACT FROM AUTHOR]

Open Reduction and Internal Fixation (ORIF) with volar locking plates are commonly used to manage distal radial fractures. The anatomical tilt lateral (ATL) wrist X-ray is often required for evaluation of intra-articular screw penetration due to the screw position. This study aims to evaluate the correlation between the tube angulation given by performing radiographers for the ATL projection and the post-examination measurement of radial inclination (RI) on the Posterior Anterior (PA) wrist image. A retrospective review was performed for 36 patients. A standardised method developed by Kreder et al. (1996) was used to measure the RI on the PA wrist image. All ATL images sent into Picture Archiving and Communications System (PACS) have the tube angulation applied annotated on the image. Pearson's correlation was used to analyse the co-relationship between the RI and the tube angle applied for ATL projection. The average angle of RI measured by the four observers was 19. Normality of 0.385 was established. A positive correlation (p = 0.792) between the RI and the tube angle applied for ATL was found. Our study found a strong positive correlation between the tube angulation applied by performing radiographers for the ATL projection and the post-examination RI measured on the PA wrist image by the independent reviewers. This suggests that radiographers can use the measured RI to apply the tube angulation when performing the ATL wrist X-ray, instead of estimating the tube angulation to be applied. Using the measured RI to apply the tube angulation when performing the ATL wrist X-ray will ensure a more reliable and reproducible way that could reduce the number of repeated images and, thus, unnecessary radiation dose to patients. [ABSTRACT FROM AUTHOR]

(1) Background: We aim to investigate age-related changes in cartilage structure and composition in the metacarpophalangeal (MCP) joints using magnetic resonance (MR) biomarkers. (2) Methods: The cartilage tissue of 90 MCP joints from 30 volunteers without any signs of destruction or inflammation was examined using T1, T2, and T1ρ compositional MR imaging techniques on a 3 Tesla clinical scanner and correlated with age. (3) Results: The T1ρ and T2 relaxation times showed a significant correlation with age (T1ρ: Kendall-τ-b = 0.3, p < 0.001; T2: Kendall-τ-b = 0.2, p = 0.01). No significant correlation was observed for T1 as a function of age (T1: Kendall-τ-b = 0.12, p = 0.13). (4) Conclusions: Our data show an increase in T1ρ and T2 relaxation times with age. We hypothesize that this increase is due to age-related changes in cartilage structure and composition. In future examinations of cartilage using compositional MRI, especially T1ρ and T2 techniques, e.g., in patients with osteoarthritis or rheumatoid arthritis, the age of the patients should be taken into account. [ABSTRACT FROM AUTHOR]

Both musculoskeletal gossypibomas and chronic expanding hematomas have been rarely reported; the reports that do exist are usually case reports. Our objective is to demonstrate problematic imaging diagnostics of an unusual presentation mimicking a malignant lesion. We report the case of a 47-year-old man who underwent bone graft harvesting from the iliac crest for spinal fusion due to scoliosis at 18 years of age, and 29 years later, he developed a growing, painful tumor at the original donor site (a bone defect in the iliac crest). It was challenging to differentiate a hematoma from a malignant tumor based solely on clinical and radiological workup, including an ultrasound-guided needle biopsy focused on viable tissue. The definitive diagnosis of a gossypiboma with a chronic expanding hematoma was based on histopathological assessment after wide surgical resection—a chronic expanding hematoma with multiple foamy macrophages and giant cells engulfing foreign material (original surgical hemostatic sponge). [ABSTRACT FROM AUTHOR]

Background: Medicare reimbursement is rapidly declining in many specialties. An in-depth analysis of Medicare reimbursement for routinely performed diagnostic imaging procedures in the United States is warranted. Purpose/Hypothesis: The purpose of this study was to evaluate Medicare reimbursement trends for the 20 most common lower extremity imaging procedures performed between 2005 and 2020, including radiographs, computed tomography (CT), and magnetic resonance imaging (MRI). We hypothesized that Medicare reimbursement for imaging procedures would decline substantially over the studied period. Study Design: Cohort study. Methods: The Physician Fee Schedule Look-up Tool from the Centers for Medicare and Medicaid Services was analyzed for reimbursement rates and relative value units associated with the top 20 most utilized Current Procedural Terminology (CPT) codes in lower extremity imaging from 2005 to 2020. Reimbursement rates were adjusted for inflation and listed in 2020 US dollars using the US Consumer Price Index. To compare year-to-year changes, the percentage change per year and compound annual growth rate were calculated. A 2-tailed t test was used to compare the unadjusted and adjusted percentage change over the 15-year period. Results: After adjusting for inflation, mean reimbursement for all procedures decreased by 32.41% (P =.013). The mean adjusted percentage change per year was –2.82%, and the mean compound annual growth rate was –1.03%. Compensation for the professional and technical components for all CPT codes decreased by 33.02% and 85.78%, respectively. Mean compensation for the professional component decreased by 36.46% for radiography, 37.02% for CT, and 24.73% for MRI. Mean compensation for the technical component decreased by 7.76% for radiography, 127.66% for CT, and 207.88% for MRI. Mean total relative value units decreased by 38.7%. The commonly billed imaging procedure CPT 73720 (MRI lower extremity, other than joint, with and without contrast) had the greatest adjusted decrease of 69.89%. Conclusion: Medicare reimbursement for the most billed lower extremity imaging studies decreased by 32.41% between 2005 and 2020. The greatest decreases were noted in the technical component. Of the modalities, MRI had the largest decrease, followed by CT and then radiography. [ABSTRACT FROM AUTHOR]

With the recent developments in deep learning and the rapid growth of convolutional neural networks, artificial intelligence has shown promise as a tool that can transform several aspects of the musculoskeletal imaging cycle. Its applications can involve both interpretive and non-interpretive tasks such as the ordering of imaging, scheduling, protocoling, image acquisition, report generation and communication of findings. However, artificial intelligence tools still face a number of challenges that can hinder effective implementation into clinical practice. The purpose of this review is to explore both the successes and limitations of artificial intelligence applications throughout the muscuskeletal imaging cycle and to highlight how these applications can help enhance the service radiologists deliver to their patients, resulting in increased efficiency as well as improved patient and provider satisfaction.

Background: The aim of this study was to assess the technical feasibility and the impact on image quality and acquisition time of a deep learning-accelerated fat-saturated T2-weighted turbo spin echo sequence in musculoskeletal imaging of the extremities. Methods: Twenty-three patients who underwent MRI of the extremities were prospectively included. Standard T2w turbo inversion recovery magnitude (TIRMStd) imaging was compared to a deep learning-accelerated T2w TSE (TSEDL) sequence. Image analysis of 23 patients with a mean age of 60 years (range 30–86) was performed regarding image quality, noise, sharpness, contrast, artifacts, lesion detectability and diagnostic confidence. Pathological findings were documented measuring the maximum diameter. Results: The analysis showed a significant improvement for the T2 TSEDL with regard to image quality, noise, contrast, sharpness, lesion detectability, and diagnostic confidence, as compared to T2 TIRMStd (each p < 0.001). There were no differences in the number of detected lesions. The time of acquisition (TA) could be reduced by 52–59%. Interrater agreement was almost perfect (κ = 0.886). Conclusion: Accelerated T2 TSEDL was technically feasible and superior to conventionally applied T2 TIRMStd. Concurrently, TA could be reduced by 52–59%. Therefore, deep learning-accelerated MR imaging is a promising and applicable method in musculoskeletal imaging.

Joint dislocations are orthopedic emergencies that require prompt intervention. Automatic identification of these injuries could help improve timely patient care because diagnostic delays increase the difficulty of reduction. In this study, we developed convolutional neural networks (CNNs) to detect elbow and shoulder dislocations, and tested their generalizability on external datasets. We collected 106 elbow radiographs (53 with dislocation [50 %]) and 140 shoulder radiographs (70 with dislocation [50 %]) from a level-1 trauma center. After performing 24× data augmentation on training/validation data, we trained multiple CNNs to detect elbow and shoulder dislocations, and also evaluated the best-performing models using external datasets from an external hospital and online radiology repositories. To examine CNN decision-making, we generated class activation maps (CAMs) to visualize areas of images that contributed the most to model decisions. On all internal test sets, CNNs achieved AUCs >0.99, and on all external test sets, CNNs achieved AUCs >0.97. CAMs demonstrated that the CNNs were focused on relevant joints in decision-making regardless of whether or not dislocations were present. Joint dislocations in both shoulders and elbows were readily identified with high accuracy by CNNs with excellent generalizability to external test sets. These findings suggest that CNNs could expedite access to intervention by assisting in diagnosing dislocations. • Deep learning models trained to identify native shoulder dislocation achieved high performance on internal and external test sets. • Deep learning models trained to identify native elbow dislocations achieved high performance on internal and external test sets. • Heatmaps showed emphasis of relevant joints for decision-making. [ABSTRACT FROM AUTHOR]

• We assessed motion artifacts of dynamic scan protocols using a rotating phantom and patient MSK data. • Motion artifacts quantification metric based on Jaccard distance was established. • Cardiac scan mode significantly (p < 0.001) reduced motion artifacts. • Phantom results were corroborated on dynamic images of the knee. • Cardiac acquisition protocol facilitates dynamic MSK imaging. To quantitatively evaluate the impact of a cardiac acquisition CT mode on motion artifacts in comparison to a conventional cine mode for dynamic musculoskeletal (MSK) imaging. A rotating PMMA phantom with air-filled holes drilled at varying distances from the disk center corresponding to linear hole speeds of 0.75 cm/s, 2.0 cm/s, and 3.6 cm/s was designed. Dynamic scans were obtained in cardiac and cine modes while the phantom was rotating at 48°/s in the CT scanner. An automated workflow to compute the Jaccard distance (JD) was established to quantify degree of motion artifacts in the reconstructed phantom images. JD values between the cardiac and cine scan modes were compared using a paired sample t -test. In addition, three healthy volunteers were scanned with both modes during a cyclic flexion–extension motion of the knee and analysed using the proposed metric. For all hole sizes and speeds, the cardiac scan mode had significantly lower (p-value <0.001) JD values. (0.39 [0.32–0.46]) i.e less motion artifacts in comparison to the cine mode (0.72 [0.68–0.76]). For both modes, a progressive increase in JD was also observed as the linear speed of the holes increased from 0.75 cm/s to 3.6 cm/s. The dynamic images of the three healthy volunteers showed less artifacts when scanned in cardiac mode compared to cine mode, and this was quantitatively confirmed by the JD values. A cardiac scan mode could be used to study dynamic musculoskeletal phenomena especially of fast-moving joints since it significantly minimized motion artifacts. [ABSTRACT FROM AUTHOR]

Artificial intelligence is rapidly expanding in all technological fields. The medical field, and especially diagnostic imaging, has been showing the highest developmental potential. Artificial intelligence aims at human intelligence simulation through the management of complex problems. This review describes the technical background of artificial intelligence, machine learning, and deep learning. The first section illustrates the general potential of artificial intelligence applications in the context of request management, data acquisition, image reconstruction, archiving, and communication systems. In the second section, the prospective of dedicated tools for segmentation, lesion detection, automatic diagnosis, and classification of musculoskeletal disorders is discussed. [ABSTRACT FROM AUTHOR]

Objective: Identify factors predictive of therapeutic success following ultrasound-guided sheath injection of the long head of the biceps tendon. Materials and Methods: A total of 162 cases were divided into three groups based on clinical responses: complete, partial, or no relief. The presence or absence of clinical symptoms, glenohumeral joint structural pathology, and treatment method was compared. Results: Of the 115 injections with follow-up, 19.1% reported no clinical response while 53.0% had a complete response. Patients with fibromyalgia or chronic spine pain were strongly associated with a poor outcome (odds ratio [OR] = 5.7, P <.001). Conclusion: Ultrasound-guided intra-sheath injection is an effective method of non-surgical management for biceps tendinopathy. [ABSTRACT FROM AUTHOR]

Pseudoaneurysms of the lateral plantar artery (LPA) are rare. In this case study, a very rare case of a pseudoaneurysm of the LPA, caused by a knife cut, is reported. A female adult patient presented with a growing lump in the arch of the left foot for 4 weeks. She had an accidental steak knife stab her on the arch of the left foot and had the cut sutured 5 weeks prior. The physical examination revealed a warm, pulsatile, and tender lump without a clear border deep to the scar in the lateral arch. Duplex ultrasonography (DUS) detected a cavity with the wall uneven in thickness and the outer wall undistinguished. Doppler demonstrated a typical Yin-yang sign inside the cavity and a neck-like structure connecting the cavity to an artery along the path of the LPA, suggesting that this was a LPA pseudoaneurysm, caused by penetration trauma. Later, the patient received priority surgery to have the pseudoaneurysm repaired. [ABSTRACT FROM AUTHOR]

Introduction: We aimed to identify imaging‐based findings that can differentiate between spinal subchondral bone metastasis with focal pathologic endplate fracture and oedematous Schmorl's nodes that have been histopathologically confirmed. Methods: Between March 2010 and April 2016, 11 patients who had undergone spinal magnetic resonance (MR) imaging or computed tomography (CT) with final radiologic reports that included 'subchondral bone metastasis with focal pathologic endplate fracture' or 'edematous Schmorl's node' and had also undergone percutaneous imaging‐guided spinal biopsies were included. Two radiologists retrospectively evaluated the following imaging features in consensus: size, location, presence of sclerotic margin, presence of intralesional or perilesional enhancement and opposite endplate enhancement of the involved disc, presence of disc height loss and presence of metabolic uptake at a corresponding lesion on nuclear medicine imaging. Results: A total of 11 patients, including six patients with spinal subchondral bone metastasis with focal pathologic endplate fracture and five patients with oedematous Schmorl's nodes, were included in this study (median age, 58 years; range, 50–63 years; six men). Sclerotic margin (P = 0.002) and enhancement on the opposite endplate of the involved disc (P = 0.047) were significantly different between oedematous Schmorl's node and subchondral bone metastasis with focal pathologic endplate fracture. Conclusion: Sclerotic margin and enhancement on the opposite endplate of the involved disc suggest oedematous Schmorl's node rather than subchondral bone metastasis with focal pathologic endplate fracture. Decreased disc height is likely to be an oedematous Schmorl's node rather than subchondral bone metastasis with focal pathologic endplate fracture. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The purpose of this review is to present the latest innovations and current topics in musculoskeletal diagnosis and interventional imaging, with a focus on degenerative and inflammatory diseases. MATERIALS AND METHODS: In this study, the search was conducted through the online databases PubMed and Google Scholar, including articles published in English in the past 15 years, in order to find existing studies, clinical cases, and reviews on the latest innovations and current topics in degenerative and inflammatory musculoskeletal pathologies. RESULTS: Imaging plays a pivotal role in the diagnosis and treatment of MSK degenerative and inflammatory disease. In the last few years continuous innovations and technological advances have allowed new clinical applications in the management of MSK disorder. Advanced magnetic resonance techniques, the introduction of fusion imaging techniques and new approaches to infiltrative medicine are revolutionizing the clinical and therapeutic approach to degenerative and inflammatory pathologies. Artificial intelligence also increasingly seeks to be applied in all fields of medicine and radiology with increasingly promising results. CONCLUSIONS: Imaging modalities undergo continuous innovations and revolutions due to technological advances, with direct repercussions on clinical applications and new therapeutic potential through interventional radiology techniques. In recent years, there have been particular innovations in the context of musculoskeletal imaging of degenerative and inflammatory diseases, both for diagnosis and intervention. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) in medicine is a rapidly growing field. In orthopedics, the clinical implementations of AI have not yet reached their full potential. Deep learning algorithms have shown promising results in computed radiographs for fracture detection, classification of OA, bone age, as well as automated measurements of the lower extremities. Studies investigating the performance of AI compared to trained human readers often show equal or better results, although human validation is indispensable at the current standards. The objective of this narrative review is to give an overview of AI in medicine and summarize the current applications of AI in orthopedic radiography imaging. Due to the different AI software and study design, it is difficult to find a clear structure in this field. To produce more homogeneous studies, open-source access to AI software codes and a consensus on study design should be aimed for. [ABSTRACT FROM AUTHOR]

Ewing sarcoma (ES) is a small round cell sarcoma which usually occurs in the paediatric and young adult age groups. This pictorial review briefly discusses and presents the typical skeletal and extraskeletal locations which ES is encountered, including the metadiaphysis of long bones, pelvis, chest wall and paravertebral regions. Five cases of ES in atypical locations are then presented along with an observation of demographic differences between skeletal and extraskeletal ES. These cases include ES arising from the metatarsal, scapula, breast, intracranial soft tissue and the paranasal sinuses. Presenting symptoms, treatment approach and prognosis are highly variable depending on the location; and multimodal imaging is centrepiece in the management process. Management usually includes any combination of chemotherapy, radiotherapy and surgery. The WHO classification system was updated in 2020 to include some of the rare genetic subtypes of ES. One such case of the BCOR subtype is demonstrated in this review and occurs in an atypical location. Whether these subtypes have distinct radiological features or a propensity to occur in atypical locations is an area for further research. [ABSTRACT FROM AUTHOR]

Purpose: To report the first in-vivo results from exploiting the magic angle effect, using a dedicated low-field MRI scanner that can be rotated about two axes. The magic angle directional imaging (MADI) method is used to depict collagen microstructures with 3D collagen tractography of knee ligaments and the meniscus., Methods: A novel low-field MRI system was developed, based on a transverse field open magnet, where the magnet can be rotated about two orthogonal axes. Sets of volume scans at various orientations were obtained in healthy volunteers. The experiments focused on the anterior cruciate ligament (ACL) and the meniscus of the knee. The images were co-registered, anatomical regions of interest (ROIs) were selected and the collagen fiber orientations in each voxel were estimated from the observed image intensity variations. The 3D collagen tractography was superimposed on conventional volume images., Results: The MADI method was successfully employed for the first time producing in-vivo results comparable to those previously reported for excised animal specimens using conventional MRI. Tractography plots were generated for the ACL and the menisci. These results are consistent with the known microstructure of collagen fibers in these tissues., Conclusion: Images obtained using low-field MRI with 1 mm 3 resolution were of sufficient quality for the MADI method, which was shown to produce high quality in-vivo information of collagen microstructures. This was achieved using a cost effective and sustainable low-field magnet making the technique potentially accessible and scalable, potentially changing the way we image injuries or disease in joints., (© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)