To explore the ultrasound findings, treatment strategies, and reproductive outcomes in patients with recurrent cesarean scar pregnancy (CSP), providing evidence for clinical management.

O-GlcNAcylation plays a key regulatory role in hepatic physiology, and its disruption leads to fibrosis in liver-specific OGT knockout mice (OGT), making this model valuable for studying advanced metabolic dysfunction-associated steatohepatitis (MASH). Our objective is to demonstrate that shear wave elastography (SWE) is a suitable non-invasive tool to characterize and follow this mouse model of liver injury.

To evaluate the discriminatory potential of peritumoral tissue stiffness, as quantified by 2-dimensional shear wave elastography, for distinguishing between hepatocellular carcinoma (HCC) and metastatic liver carcinoma (MLC).

To evaluate a scoring system using transvaginal ultrasound (TVS) to predict high-risk endometrial cancer.

Abscesses are a common esthetic procedure complication that can lead to disfigurement and systemic complications. Accurately identifying the type of abscess is essential for early and appropriate treatment. In this context, the ultrasound (US) has become a pivotal tool for diagnosing and managing abscesses when combined with clinical and laboratory assessment. However, many professionals in the field still have limited knowledge of the subject, especially regarding abscess differentiation. Given this scenario, this article aims to address the US-standard to distinguish between common bacterial, nontuberculous mycobacterial, and sterile abscesses, highlighting the importance of integrating clinical presentation and laboratory findings for accurate differentiation.

Intra-amniotic sludge is an independent risk factor for preterm birth. It consists of a biophysical sonographic finding in the amniotic fluid, formed by dense echogenic particles near the cervical internal orifice, due to sterile or infectious inflammatory processes. High-risk pregnancies are usually marked by oxidative stress, which is one of the main triggers for 70 kDa-heat shock proteins (HSP70) expression and release. In the blood, eHSP70 marks cellular stress or damage and plays roles in immune-inflammatory responses. However, the association between sludge, oxidative stress and eHSP70 remained unclear until now. The objective of this study is to evaluate if plasma eHSP70 and redox parameters could distinguish subpopulations with sludge or not.

To evaluate the feasibility and inter-rater reliability of bedside muscle ultrasonography for detecting muscle loss in critically ill pediatric patients.

Colorectal cancer (CRC) is the third most common cancer globally and is frequently diagnosed at metastatic stages. As an alternative to the current standard of care, a novel high-intensity-focused ultrasound (HIFU)-based boiling histotripsy (BH) method has the potential to provide an ultrasound (US)-guided approach for non-invasive mechanical fractionation of CRC metastases and enhancement of anti-tumor immune response for inoperable primary CRC.

The sononeoperfusion effect involves the use of ultrasound-stimulated microbubbles (USMB) to enhance tumor perfusion, which may alleviate hypoxic conditions within solid tumors. This study aimed to compare this effect induced by diagnostic ultrasound (DUS) and low-intensity therapeutic ultrasound (TUS) with similar parameters.

To explore the ultrasound diagnosis of fetal acrania-exencephaly-anencephaly sequence before 11 weeks of gestation.

The primary objective of this study was to describe the indications for performing point-of-care ultrasound (POCUS) in prehospital settings. The secondary objective was to assess its impact on the diagnostic workup when its use was initiated by the emergency physician (EP) dispatched with a mobile intensive care unit (MICU).

To evaluate the diagnostic value of the nine Morphological Uterus Sonographic Assessment (MUSA)-defined ultrasonographic features for adenomyosis and develop an ultrasound scoring system to improve diagnostic accuracy.

This study aimed to develop a multimodal model that integrates habitat radiomics and clinical features for non-invasive prediction of axillary sentinel lymph node (SLN) metastasis in breast cancer (BC).

To evaluate the performance of a CNN-based (convolutional neural networks-based) AI software for automatic recognition and measurement of minimal levator hiatus in transperineal ultrasound volumes from postpartum women, and to assess its agreement with manual measurements in different functional states.