Medical ultrasonography最新文献

With the advancement of computer technology and imaging equipment, ultrasound has emerged as a crucial tool in breast cancer diagnosis. To gain deeper insights into the research landscape of ultrasound in breast cancer diagnosis, this study employed bibliometric methods for a comprehensive analysis spanning from 2004 to 2024, analyzing 3523 articles from 2176 institutions in 82 countries/regions. Over this period, publications on ultrasound diagnosis of breast cancer showed a fluctuating growth trend from 2004 to 2024. Notably, China, Seoul National University and Kim EK emerged as leading contributors in ultrasound for breast cancer detection, with the most published and cited journals being Ultrasound Med Biol and Radiology. The research spots in this area included "breast lesion", "dense breast" and "breast-conserving surgery", while "machine learning", "ultrasonic imaging", "convolutional neural network", "case report", "pathological complete response", "deep learning", "artificial intelligence" and "classification" are anticipated to become future research frontiers. This groundbreaking bibliometric analysis and visualization of ultrasonic breast cancer diagnosis publications offer clinical medical professionals a reliable research focus and direction.

Point-of-care ultrasound (POCUS) plays an essential role in pediatric emergency medicine by improving diagnostics and procedural safety. The role of POCUS in the care of pediatric patients in the emergency department has expanded considerably in recent years. Cranial and musculoskeletal imaging has significant potential, yet POCUS has also become a vital tool for common procedures, such as central and difficult peripheral intravenous access. The purpose of this article is to provide an overview of pediatric POCUS applications for cranial, small parts (head, eyes, nose, throat, and soft tissue), musculoskeletal, and common procedural applications, forming the third part of the series.

Aims: Shear wave elastography (SWE) is of great significance in measuring the elasticity and in evaluating mechanical properties of biological tissues. The elasticity of biological tissues can be reflected by measuring the propagation velocity of shear waves. Therefore, accurate estimation of shear wave velocity is crucial.

Material and methods: In this study, we proposed a robust estimation method based on a cyclic shifting algorithm (CSA) for measuring shear wave group velocity in homogeneous media. To validate the utility of the algorithm, we conducted accuracy analysis and robustness analysis with different noise levels in the digital phantom used for the standardization of shear wave velocity by Quantitative Imaging Biomarker Alliance (QIBA) of the Radiological Society of North America.

Results: The estimated shear wave velocities (SWV) of the elastic digital phantoms with Young's moduli 3 kPa, 6 kPa, 15 kPa, 30 kPa are 1.0156 m/s, 1.4065 m/s, 2.1875 m/s, 3.1250 m/s, respectively. When adding Gaussian white noise with 0 dB, the relative errors of the estimated SWVs are 2.5%, 4.8%, 11.8%, 20.5%, respectively. The estimated SWVs in the gelatin phantom with gelatin concentration of 7% and 10% are 2.0442 m/s and 3.1237 m/s. Compared with the existing two representative estimation algorithms, the estimation algorithm proposed in this paper has a higher anti-noise performance due to effective energy accumulation in the frequency domain.

Conclusions: The proposed SWV method based on CSA in frequency domain is a robust shear wave group velocity estimation method, which seems to be a useful tool in homogeneous media for ultrasound elastography.

Ultrasound of the urinary bladder detects diverse and complex pathology. This manuscript deals with various bladder diseases imaged with multiparametric ultrasound, including contrast enhanced ultrasound.

Rotator cuff tears are a major cause of shoulder pain and restricted mobility, with the supraspinatus tendon being particularly susceptible to injury due to its biomechanical properties and vascular perfusion characteristics. Failure to achieve an accurate diagnosis and initiate timely treatment following a rotator cuff injury can result in progressive worsening of the condition, potentially leading to severe complications. In this report, we present a case of post-traumatic supraspinatus tendon injury. By comparing musculoskeletal ultrasound, contrast-enhanced ultrasound, and ultra resolution microscopy (URM) imaging, we demonstrate that URM, as an advanced imaging modality with high resolution, real-time dynamic capabilities, and quantitative analytical potential, offers distinct advantages in detecting rotator cuff injuries. Specifically, URM improves the detection rate, delineates injury boundaries with greater accuracy, and assesses the extent of inflammatory adhesions surrounding the affected site.