Update on thyroid ultrasound: a narrative review from diagnostic criteria to artificial intelligence techniques.

OBJECTIVE: Ultrasound imaging is well known to play an important role in the detection of thyroid disease, but the management of thyroid ultrasound remains inconsistent. Both standardized diagnostic criteria and new ultrasound technologies are essential for improving the accuracy of thyroid ultrasound. This study reviewed the global guidelines of thyroid ultrasound and analyzed their common characteristics for basic clinical screening. Advances in the application of a combination of thyroid ultrasound and artificial intelligence (AI) were also presented. DATA SOURCES: An extensive search of the PubMed database was undertaken, focusing on research published after 2001 with keywords including thyroid ultrasound, guideline, AI, segmentation, image classification, and deep learning. STUDY SELECTION: Several types of articles, including original studies and literature reviews, were identified and reviewed to summarize the importance of standardization and new technology in thyroid ultrasound diagnosis. RESULTS: Ultrasound has become an important diagnostic technique in thyroid nodules. Both standardized diagnostic criteria and new ultrasound technologies are essential for improving the accuracy of thyroid ultrasound. In the standardization, since there are no global consensus exists, common characteristics such as a multi-feature diagnosis, the performance of lymph nodes, explicit indications of fine needle aspiration, and the diagnosis of special populations should be focused on. Besides, evidence suggests that AI technique has a good effect on the unavoidable limitations of traditional ultrasound, and the combination of diagnostic criteria and AI may lead to a great promotion in thyroid diagnosis. CONCLUSION: Standardization and development of novel techniques are key factors to improving thyroid ultrasound, and both should be considered in normal clinical use.

Ultrasound in neonatal lung disease.

Lung diseases in neonates can be life-threatening condition and may result in respiratory failure and death. Chest X-ray is a traditional diagnostic technique that results in radiation exposure to patients. Lung ultrasound is a user-friendly imaging technique that has been increasingly used in clinical practice in recent years and presents the advantages of real-time imaging and without radiation. Here we review the sonographic appearances of common neonatal lung diseases and present demonstration of typical cases.

Microbubbles: A Novel Strategy for Chemotherapy.

BACKGROUND: Ultrasound microbubbles have conventionally been used for diagnostic purposes. In recent years, however, new types of microbubbles have emerged as important carriers for drug delivery. Moreover, studies have shown that ultrasound microbubbles can serve as valuable and noninvasive tools in cancer therapy; thus the use of ultrasound microbubbles to deliver chemotherapeutic drugs to malignant tissues is a promising possibility. METHODS: In this review, we briefly describe the status of ultrasound microbubbles in clinical practice and then discuss the development of targeted microbubbles. Finally, we consider novel strategies for the use of microbubbles in cancer therapy. RESULTS: Many different kinds of microbubbles are emerged. Novel strategies of ultrasound microbubble have been shown to be effective in cancer therapy. CONCLUSION: Although many problems need to be solved in the future, the ultrasound drugs loaded microbubbles still have strong potential for the use in clinical cancer therapy.