Purpose: To assess the clinical outcomes and patient satisfaction after bilateral cataract surgery with implantation of a bifocal refractive enhanced depth of focus intraocular lens (IOL) with a low near addition (add).
Setting: Department of Ophthalmology, Ludwig-Maximilians-University Munich, Munich, Germany.
Design: Prospective longitudinal case series.
Methods: Eyes with bilateral age-related cataract and corneal astigmatism of less than 1.0 diopter (D) had standard microincision cataract surgery with implantation of a bifocal nondiffractive shape-segmented enhanced depth of focus IOL (Lentis Comfort, LS-313 MF15). The corrected and uncorrected (UDVA) distance visual acuities, uncorrected intermediate (UIVA) and near (UNVA) visual acuities, defocus, corneal astigmatism, spectacle independence, contrast sensitivity, rotational stability, photic phenomena, and patient satisfaction were evaluated over a 3-month follow-up.
Results: The study comprised 22 patients (44 eyes). The mean postoperative manifest spherical equivalent was -0.10 D ± 0.58 (SD), resulting in a mean UDVA of 0.07 ± 0.10 logMAR, mean UIVA of 0.21 ± 0.15 logarithm of minimum angle of resolution (logMAR), and mean UNVA of 0.53 ± 0.15 logMAR. Binocular UDVA was 0.01 ± 0.08 logMAR. The best reading distance was 0.46 ± 0.09 m. More than 95% of patients were satisfied with their visual acuity, and less than 10% reported photic phenomena. The IOL showed an excellent rotational stability.
Conclusions: The enhanced depth of focus IOL with 1.5 D of near add showed excellent intermediate and far visual performance and acceptable near visual restoration. Patient satisfaction was very high, and few patients reported disturbing photic phenomena.
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http://dx.doi.org/10.1016/j.jcrs.2017.01.024 | DOI Listing |
Disabil Rehabil Assist Technol
January 2025
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, Ohio, USA.
The wheelchair service delivery process (SDP) is a large complex system and therefore has many potential points of failure; determining priorities for improvement is challenging. The complexities introduce several barriers to accessing and maintaining wheelchairs for individuals with mobility impairments. Given the breadth and depth of the barriers, it is important to know in which areas to focus future policy reform efforts.
View Article and Find Full Text PDFWomens Health (Lond)
January 2025
College of Nursing, University of Utah, Salt Lake City, UT, USA.
Background: Postpartum is a critical period to interrupt weight gain across the lifespan, decrease weight-related risk in future pregnancies, promote healthy behaviors that are often adopted during pregnancy, and improve long-term health. Because the postpartum period is marked by unique challenges to a person's ability to prioritize healthy behaviors, a multi-level/domain approach to intervention beyond the individual-level factors of diet and activity is needed.
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Sensors (Basel)
January 2025
Faculty of Science and Technology, Keio University, Yokohama 223-8522, Japan.
Person identification is a critical task in applications such as security and surveillance, requiring reliable systems that perform robustly under diverse conditions. This study evaluates the Vision Transformer (ViT) and ResNet34 models across three modalities-RGB, thermal, and depth-using datasets collected with infrared array sensors and LiDAR sensors in controlled scenarios and varying resolutions (16 × 12 to 640 × 480) to explore their effectiveness in person identification. Preprocessing techniques, including YOLO-based cropping, were employed to improve subject isolation.
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December 2024
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Precision depth estimation plays a key role in many applications, including 3D scene reconstruction, virtual reality, autonomous driving and human-computer interaction. Through recent advancements in deep learning technologies, monocular depth estimation, with its simplicity, has surpassed the traditional stereo camera systems, bringing new possibilities in 3D sensing. In this paper, by using a single camera, we propose an end-to-end supervised monocular depth estimation autoencoder, which contains an encoder with a structure with a mixed convolution neural network and vision transformers and an effective adaptive fusion decoder to obtain high-precision depth maps.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Information Technology, Aylol University College, Yarim 547, Yemen.
Background: Neurodegenerative diseases (NGD) encompass a range of progressive neurological conditions, such as Alzheimer's disease (AD) and Parkinson's disease (PD), characterised by the gradual deterioration of neuronal structure and function. This degeneration manifests as cognitive decline, movement impairment, and dementia. Our focus in this investigation is on PD, a neurodegenerative disorder characterized by the loss of dopamine-producing neurons in the brain, leading to motor disturbances.
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