View clinical trials related to Contrast-enhanced Ultrasound.
Filter by:To find out if contrast enhanced ultrasound (CEUS) can be used to determine if patients receiving combined ICI therapy for triple negative breast cancer (TNBC) are responding to treatment earlier than standard of care MR or CT.
Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions
Contrast-enhanced ultrasound (CEUS) substantially improves the potential of ultrasound (US) for the identification and characterization of focal liver lesions (FLLs). Compared to contrasted-enhanced MRI and CT, it has some unique advantages, such as the absence of ionizing radiation, and easy operability and repeatability. However, the efficacy of CEUS in diagnosing liver lesions is challenged by several factors including being highly dependent on doctor's experience, low signal-to-noise ratio, and low interobserver agreement. Therefore, it is a beneficial attempt to construct an intelligent CEUS diagnosis system using digital information technology. This study aims to collect standard data of CEUS cines recordings and develop deep learning model for accurate segmentation, detection and classification of liver lesions.
The incidence and mortality of renal cell carcinoma are increasing year by year. Contrast-enhanced ultrasound is helpful for early diagnosis and treatment to renal tumor, and is of great importance to distinguish benign from malignant and clinical stages