Purpose To explore the clinical value of ultrasound-guided minimally invasive biopsy of breast nodules for diagnosis and treatment of patients with no positive clinical signs on manual breast examination. Methods We performed a retrospective review of 136 patients with no signs on breast palpation who underwent ultrasound-guided minimally invasive biopsy. A total of 63 patients underwent breast nodule resection from October 2018 to December 2019 at the General Hospital of Central Theater Command of the People’s Liberation Army. Clinical data, including indications for minimally invasive biopsy or resection, pathological and surgical results were retrospectively analyzed. Results A total of 199 patients were studied; 136 underwent minimally invasive biopsy and 63 underwent resection. No severe surgical complications occurred. Minimally invasive biopsy of breast nodules was superior to resection with respect to operation time, incision length, and postoperative complication rate. Conclusion Ultrasound-guided minimally invasive biopsy of breast nodules is feasible for treatment of patients with negative breast nodules and can achieve accurate diagnosis and satisfactory resection.
Thyroid diseases are divided into papillary carcinoma and nodular diseases, which are very harmful to the human body. Ultrasound is a common diagnostic method for thyroid diseases. In the process of diagnosis, doctors need to observe the characteristics of ultrasound images, combined with professional knowledge and clinical experience, to give the disease situation of patients. However, different doctors have different clinical experience and professional backgrounds, and the diagnosis results lack objectivity and consistency, so an intelligent diagnosis technology for thyroid diseases based on the ultrasound image is needed in clinic, which can give objective and reliable diagnosis opinions on thyroid diseases by extracting the texture, shape, and other information of the image and assist doctors in clinical diagnosis. This paper mainly studies the intelligent ultrasonic diagnosis of papillary thyroid cancer based on machine learning, compares the ultrasonic characteristics of PTMC diagnosed by using the new ultrasound technology (CEUS and UE), and summarizes the differential diagnosis effect and clinical application value of the two technology methods for PTMC. In this paper, machine learning, diffuse thyroid image features, and RBM learning methods are used to study the ultrasonic intelligent diagnosis of papillary thyroid cancer based on machine learning. At the same time, the new contrast-enhanced ultrasound (CEUS) technology and ultrasound elastography (UE) technology are used to obtain the experimental phenomena in the experiment of ultrasonic intelligent diagnosis of papillary thyroid cancer. The results showed that 90% of the cases were diagnosed by contrast-enhanced ultrasound and confirmed by postoperative pathology. CEUS and UE have reliable practical value in the diagnosis of PTMC, and the combined application of CEUS and UE can improve the sensitivity and accuracy of PTMC diagnosis.
Objective: To evaluate the role of ultrasound in the use and maintenance of ECMO for COVID-19 cases.Methods: During the outbreak of COVID-19 in China, three critically ill patients were treated with ECMO in our hospital.Bedside ultrasound was used throughout all procedures, including in the delivery and daily monitoring of ECMO.Results: Structural and functional changes of heart, pleural effusion, as well as thrombus formation in one patient's right atrium were noted with ultrasonography. Using bedside ultrasound as a troubleshooting tool throughout ECMO therapy provided a lot of useful and reliable real-time information to assist clinical decision making. Conclusion: Ultrasound shall play an important role in the use and maintenance of ECMO for COVID-19 cases.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.