The sonographic measurement of the nuchal translucency is already regarded as the most valuable screening parameter for chromosomal anomalies. Beside standardised examinations profound information and counselling of the pregnant women should be emphasised. With the improvement of the specific maternal risk calculation using the sonographic measurement of the nuchal translucency, the biochemical markers and the maternal age, unnecessary invasive examinations may be prevented and their overall number can be reduced significantly.
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http://dx.doi.org/10.1024/0369-8394.94.6.199 | DOI Listing |
Wiad Lek
January 2025
MUNICIPAL NONPROFIT ENTERPRISE «TERNOPIL REGIONAL CLINICAL HOSPITAL», TERNOPIL REGIONAL RADA, TERNOPIL, UKRAINE.
Objective: Aim: To study the ATFL length among asymptomatic population of young patients on both joints by using the method of ultrasound examination of the ankle joint and applying the inversion stress test.
Patients And Methods: Materials and Methods: the length of the ATFL was measured among 60 boys and 60 girls during the research. Sonography was performed on both joints, in each of the two studied positions, three times per position in order to obtain the average ligament length.
Australas J Ultrasound Med
February 2025
Department of Emergency Medicine Gold Coast University Hospital Southport Queensland Australia.
Purpose: The purpose of this study was to sonographically evaluate whether intravenous (IV) flucloxacillin administration was associated with an increased risk of peripheral intravenous catheter (PIVC) thrombus formation.
Methods: This observational study included participants enrolled as a convenience sample from a larger prospective study of patients with cellulitis receiving IV antibiotics in the emergency department. Point-of-care ultrasound was used to evaluate the PIVCs for thrombus formation after insertion and at specified timepoints after IV administration of antibiotic or saline solution through to discharge.
Bone Rep
March 2025
Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States of America.
High resolution peripheral quantitative computed tomography (HRpQCT) offers detailed bone geometry and microarchitecture assessment, including cortical porosity, but assessing chronic kidney disease (CKD) bone images remains challenging. This proof-of-concept study merges deep learning and machine learning to 1) improve automatic segmentation, particularly in cases with severe cortical porosity and trabeculated endosteal surfaces, and 2) maximize image information using machine learning feature extraction to classify CKD-related skeletal abnormalities, surpassing conventional DXA and CT measures. We included 30 individuals (20 non-CKD, 10 stage 3 to 5D CKD) who underwent HRpQCT of the distal and diaphyseal radius and tibia and contributed data to develop and validate four different AI models for each anatomical site.
View Article and Find Full Text PDFLife (Basel)
January 2025
Department of Dermatology, New York Medical College, New York, NY 10595, USA.
Rosacea is a chronic inflammatory skin disorder characterized by central facial redness, papulopustular lesions, and occasionally phymatous changes. There is ongoing debate regarding rosacea as a cutaneous disease with systemic inflammatory effects and its associations with cardiovascular diseases. Although the pathogenesis of both atherosclerosis and rosacea demonstrate notable similarities, particularly in the central role of inflammation, significant gaps in understanding these connections remain.
View Article and Find Full Text PDFChildren (Basel)
December 2024
Division of Pediatric Cardiology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA.
Echocardiography is the main modality in diagnosing acquired and congenital heart disease (CHD) in fetal and pediatric patients. However, operator variability, complex image interpretation, and lack of experienced sonographers and cardiologists in certain regions are the main limitations existing in fetal and pediatric echocardiography. Advances in artificial intelligence (AI), including machine learning (ML) and deep learning (DL), offer significant potential to overcome these challenges by automating image acquisition, image segmentation, CHD detection, and measurements.
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