This paper aims to explore the application value of SonoVue contrast-enhanced ultrasonography based on deep unsupervised learning (DNS) in the diagnosis of nipple discharge. In this paper, a new model (ODNS) is proposed based on the unsupervised learning model and stack self-coding network. The ultrasonic images of 1,725 patients with breast lesions in the shared database are used as the test data of the model. The differences in accuracy (Acc), recall (RE), sensitivity (Sen), and running time between the two models before and after optimization and other algorithms are compared. A total of 48 female patients with nipple discharge are enrolled. The differences in SE, specificity (SP), positive predictive value (PPV), and negative predictive value (NPV) of conventional ultrasound and contrast-enhanced ultrasonography are analyzed based on pathological examination results. The results showed that when the number of network layers is 5, the classification accuracies of DNS and ODNS model data reached the highest values, which were 91.45% and 98.64%, respectively.
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http://dx.doi.org/10.1155/2021/2961697 | DOI Listing |
J Intern Med
January 2025
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Harvard Institutes of Medicine (HIM), Boston, Massachusetts, USA.
Background: Steatotic liver disease (SLD) is a potentially reversible condition but often goes unnoticed with the risk for end-stage liver disease.
Purpose: To opportunistically estimate SLD on lung screening chest computed tomography (CT) and investigate its prognostic value in heavy smokers participating in the National Lung Screening Trial (NLST).
Material And Methods: We used a deep learning model to segment the liver on non-contrast-enhanced chest CT scans of 19,774 NLST participants (age 61.
Int J Nanomedicine
January 2025
Department of Ultrasound, The second People's Hospital of Shenzhen, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518061, People's Republic of China.
Purpose: Osteosarcoma is the most common primary malignant tumor of the bone. However, there is a lack of effective means for early diagnosis due to the heterogeneity of tumors and the complexity of tumor microenvironment. αvβ3 integrin, a crucial role in the growth and spread of tumors, is not only an effective biomarker for cancer angiogenesis, but also highly expressed in many tumor cells.
View Article and Find Full Text PDFAME Case Rep
January 2025
Department of Clinical Medicine, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Background: Thymolipomas are rare benign mediastinal tumors primarily occurring in young adults, although they can also present in pediatric populations. These tumors are often asymptomatic, but their substantial size can create significant diagnostic and therapeutic challenges, necessitating careful evaluation and management.
Case Description: A teenage girl was diagnosed with a giant thymolipoma, which was discovered incidentally during a routine chest radiograph.
Updates Surg
January 2025
Department of General Surgery, The 983, Hospital of Joint Logistic Support Force of PLA, 60 Huang Wei Road, Tianjin, 100042, People's Republic of China.
To explore the safety and clinical efficacy of radiofrequency ablation (RFA) for papillary thyroid microcarcinoma (PTMC) located in the isthmus. This prospective study enrolled patients with single isthmus PTMC admitted to General Surgery Department of 983rd Hospital of Joint Logistic Support Force of PLA from 2017 to 2022. After ablation, the ultrasound and contrast-enhanced ultrasound (CEUS) were performed to follow up the outcomes at 1, 3, 6, 12, 18, and 24 months.
View Article and Find Full Text PDFNihon Hoshasen Gijutsu Gakkai Zasshi
January 2025
Department of Risk Analysis and Biodosimetry, Institute of Radiation Emergency Medicine, Hirosaki University.
Purpose: Hereditary breast and ovarian cancers (HBOC) carry a high risk of breast cancer, and detailed screening with contrast-enhanced breast MRI (breast MRI surveillance) is recommended. With the increase in the number of individuals diagnosed with HBOC, the demand for breast MRI surveillance is also rising. However, the current system is inadequate, with factors such as lack of knowledge and indifference among healthcare professionals, and insufficient understanding of breast MRI surveillance being cited.
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