Abstract Objective Contrast-enhanced ultrasound (CEUS) presents distinct advantages in diagnostic echography. Utilizing microbubbles (MBs) as conventional contrast agents enhances vascular visualization and organ perfusion, facilitating real-time, non-invasive procedures. There is…
ABSTRACT Objective Early detection and monitoring of hepatic steatosis can help establish appropriate preventative measures against progression to more advanced disease. We aimed to develop a deep learning (DL) program…
Abstract Introduction Intensive care unit-acquired weakness (ICUAW) is associated with unfavorable outcomes. The current diagnostic tools for ICUAW are invasive, yield delayed results, and lack precision. This study explored the…
Abstract Objective This retrospective study aimed to investigate the efficacy and safety of focused ultrasound (FU) treatment for high-risk human papillomavirus (HR-HPV) infection-related cervical intraepithelial neoplasia grade 2 (CIN2) in…
Abstract Objective Early and accurate prediction of axillary lymph node metastasis (ALNM) is crucial in determining appropriate treatment strategies for patients with early-stage breast cancer. The aim of this study…
Abstract Objective Low-intensity pulsed ultrasound (LIPUS) is a promising modality for neuromodulation. Microglia are the resident immune cells in the brain and their mobility is critical for maintaining brain homeostasis…
ABSTRACT Hepatocellular carcinoma (HCC) is the most common form of hepatic malignancy, with high mortality rates recorded globally. Early detection through clinical biomarkers, medical imaging and histological assessment followed by…
Abstract Prostate cancer (PCa) poses a significant threat to men’s health, with early diagnosis being crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) plays a vital role…
Abstract Purpose To explore the efficacy of interventional ultrasound treatment for hoarseness caused by nondisconnected recurrent laryngeal nerve injury after thyroidectomy. Materials and methods In this retrospective study, we analysed…
Abstract Objective Breast ultrasound (BUS) is used to classify benign and malignant breast tumors, and its automatic classification can reduce subjectivity. However, current convolutional neural networks (CNNs) face challenges in…
