Objective: To determine the accuracy of a portable ultrasound device for the assessment of post-void residual (PVR) volume among incontinent nursing home (NH) residents.
Design: Prospective, clinical series.
Setting: Seven community-based nursing homes.
Study Population: Two hundred one consecutively assessed incontinent NH residents who were participating in a larger clinical trial.
Measurements: PVR volumes measured by trained research associates using a portable ultrasound device and by in-and-out catheterization were compared. The accuracy of the ultrasound was calculated using the volume obtained by catheterization as the gold standard.
Results: The ultrasound demonstrated excellent test-retest and interrater reliability. For low PVRs, the device was highly sensitive (.90) for PVR < 50 mL and .95 for PVR < 100 mL) and moderately specific (.71 for PVR < 50 mL and .63 for PVR < 100 mL). For PVRs of more than 200 mL (n = 26), the ultrasound had a sensitivity of .69 and a specificity of .99.
Conclusion: The portable ultrasound we used was reliable and reasonably accurate for assessing PVR in a representative sample of incontinent NH residents. Because the sensitivity for clinically significant urinary retention (PVR > 200 mL) was only .69, repeated measurements may be necessary to exclude high PVR in individual NH residents. Recent changes in ultrasound design should improve its ease of use and accuracy. Although measuring PVR by ultrasound is much easier and more comfortable than catheterization for both NH residents and staff, the cost of the device may be a barrier to its widespread use in the NH setting.
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http://dx.doi.org/10.1111/j.1532-5415.1994.tb06987.x | DOI Listing |
BMC Med Educ
January 2025
School of Nursing, Seirei Christopher University, Hamamatsu, Shizuoka, Japan.
Background: Point-of-care ultrasound (POCUS) can be used in a variety of clinical settings and is a safe and powerful tool for ultrasound-trained healthcare providers, such as physicians and nurses; however, the effectiveness of ultrasound education for nursing students remains unclear. This prospective cohort study aimed to examine the sustained educational impact of bladder ultrasound simulation among nursing students.
Methods: To determine whether bladder POCUS simulation exercises sustainably improve the clinical proficiency regarding ultrasound examinations among nursing students, evaluations were conducted before and after the exercise and were compared with those after the 1-month follow-up exercise.
Sci Rep
January 2025
Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.
Optical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential for the development of non-invasive wearable systems for evaluating cerebral vascular condition in aging, due to their portability and ability to monitor real-time changes in cerebral hemodynamics. In this study, thirty-six healthy adults were measured by single channel fNIRS to explore differences between two age groups using machine learning (ML). The subjects, measured during functional magnetic resonance imaging (fMRI) at Oulu University Hospital, were divided into young (age ≤ 32) and elderly (age ≥ 57) groups.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Optometry and Vision Science, Hadassah Academic College, Jerusalem 9101001, Israel.
Keratoconus is a progressive corneal disorder that can lead to irreversible visual impairment if not detected early. Despite its high prevalence, early diagnosis is often delayed, especially in low-to-middle-income countries due to limited awareness and restricted access to advanced diagnostic tools such as corneal topography, tomography, optical coherence tomography, and corneal biomechanical assessments. These technologies are essential for identifying early-stage keratoconus, yet their high cost limits accessibility in resource-limited settings.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Neurosurgery, Río Hortega University Hospital, 47014 Valladolid, Spain.
Intraoperative ultrasound (ioUS) provides real-time imaging during neurosurgical procedures, with advantages such as portability and cost-effectiveness. Accurate tumor segmentation has the potential to substantially enhance the interpretability of ioUS images; however, its implementation is limited by persistent challenges, including noise, artifacts, and anatomical variability. This study aims to develop a convolutional neural network (CNN) model for glioma segmentation in ioUS images via a multicenter dataset.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Background: With increasing evidence supporting three-dimensional (3D) automated breast (AB) ultrasound (US) for supplemental screening of breast cancer in increased-risk populations, including those with dense breasts and in limited-resource settings, there is an interest in developing more robust, cost-effective, and high-resolution 3DUS imaging techniques. Compared with specialized ABUS systems, our previously developed point-of-care 3D ABUS system addresses these needs and is compatible with any conventional US transducer, which offers a cost-effective solution and improved availability in clinical practice. While conventional US transducers have high in-plane resolution (axial and lateral), their out-of-plane resolution is constrained by the poor intrinsic elevational US resolution.
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