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http://dx.doi.org/10.1002/uog.3915 | DOI Listing |
Australas J Ultrasound Med
February 2025
Department of Medicine, Otago School of Medicine Otago University Dunedin New Zealand.
Rheumatic heart disease remains prevalent in some regions of Australia and New Zealand. Echocardiography is the gold standard for detection and diagnosis using the 2023 World Heart Federation guidelines. The guidelines describe specific features of mitral and aortic valve morphology and define pathological regurgitation associated with RHD.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Ultrasound, Peking University First Hospital, Beijing 100034, China.
Aims: Studies specifically examining the sonographic features of juvenile fibroadenoma in the pediatric population have not been documented. We aimed to analyze sonograms of juvenile fibroadenoma in children.
Subjects And Methods: Patients aged ≤ 18 years who underwent breast ultrasound examinations at our department and had pathologically proven juvenile fibroadenoma from September 2002 to January 2022 were included in this study.
Pak J Med Sci
January 2025
M. Jawaid A. Mallick, MD Consultant Oncologist, Head of Department of Oncology, Dr. Ziauddin Hospital, Karachi, Pakistan.
Background & Objective: Determination of axillary lymph-node status plays a pivotal role in decision making for breast cancer treatment. Biopsy is the current standard of care but hold risks of complications as well. We aimed to find out the correlation of sonographic features of lymph node and histo-pathological findings, to predict axillary lymph-node metastasis in breast cancer patients.
View Article and Find Full Text PDFBone 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 PDFEmerg Med J
January 2025
Department of Emergency Medicine, Medisch Centrum Leeuwarden, Leeuwarden, Fryslân, The Netherlands.
Background: Point-of-care ultrasound (POCUS) can potentially be used in the triage of patients with elbow injuries. However, the diagnostic accuracy of POCUS performed by non-radiologists for the exclusion of elbow fractures is yet unknown. This study aimed to investigate the diagnostic potential of POCUS of the posterior fatpad performed by non-radiologists in the workup of adult patients presenting with elbow injuries.
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