-
Frontiers in Medicine 2024This meta-analysis was conducted to collect all available data and estimate the relationship between refractive error and the risk of diabetic retinopathy (DR) in...
PURPOSE
This meta-analysis was conducted to collect all available data and estimate the relationship between refractive error and the risk of diabetic retinopathy (DR) in patients with diabetes, and to assess whether vision-threatening DR (VTDR) is associated with refractive error.
METHODS
We systematically searched several literature databases including PubMed, Embase, Cochrane Library, Web of Science, CNKI, CBM, Wan Fang Data, and VIP databases. Pooled odds ratios (OR) and 95% confidence intervals (CI) were calculated using fixed or random effects models. Four models were developed to assess the relationship between refractive error and the risk and DR, VTDR: hyperopia and DR, VTDR; myopia and DR, VTDR; spherical equivalent (SE per D increase) and DR, VTDR; and axial length (AL per mm increase) and DR, VTDR. The included literature was meta-analyzed using Stata 12.0 software, and sensitivity analysis was performed. Publication bias in the literature was evaluated using a funnel plot, Begg's test, and Egger's test.
RESULTS
A systematic search identified 3,198 articles, of which 21 (4 cohorts, 17 cross-sectional studies) were included in the meta-analysis. Meta-analysis showed that hyperopia was associated with an increased risk of VTDR ( 1.23; 95% : 1.08-1.39; = 0.001), but not with DR ( 1.05; 95% : 0.94-1.17; = 0.374). Myopia was associated with a reduced risk of DR ( 0.74; 95% : 0.61-0.90; = 0.003), but not with VTDR ( 1.08; 95% : 0.85-1.38; = 0.519). Every 1 diopter increase in spherical equivalent, there was a 1.08 increase in the odds ratio of DR ( 1.08; 95% : 1.05-1.10; <0.001), but not with VTDR ( 1.05; 95% : 1.00-1.10; = 0.06). AL per mm increase was significantly associated with a decreased risk of developing DR ( 0.77; 95% : 0.71-0.84; <0.001 and VTDR ( 0.63; 95% : 0.56-0.72; <0.001). Analysis of sensitivity confirmed the reliability of the study's findings.
CONCLUSION
This meta-analysis demonstrates hyperopia was associated with an increased risk of VTDR in diabetes patients. Myopia was associated with a reduced risk of DR. AL is an important influencing factor of refractive error. Every 1 mm increase in AL reduces the risk of DR by 23% and the risk of VTDR by 37%.
SYSTEMATIC REVIEW REGISTRATION
identifier: CRD42023413420.
PubMed: 38895184
DOI: 10.3389/fmed.2024.1354856 -
Sensors (Basel, Switzerland) Jun 2024A significant percentage of bridges in the United States are serving beyond their 50-year design life, and many of them are in poor condition, making them vulnerable to...
A significant percentage of bridges in the United States are serving beyond their 50-year design life, and many of them are in poor condition, making them vulnerable to fatigue cracks that can result in catastrophic failure. However, current fatigue crack inspection practice based on human vision is time-consuming, labor intensive, and prone to error. We present a novel human-centered bridge inspection methodology to enhance the efficiency and accuracy of fatigue crack detection by employing advanced technologies including computer vision and augmented reality (AR). In particular, a computer vision-based algorithm is developed to enable near-real-time fatigue crack detection by analyzing structural surface motion in a short video recorded by a moving camera of the AR headset. The approach monitors structural surfaces by tracking feature points and measuring variations in distances between feature point pairs to recognize the motion pattern associated with the crack opening and closing. Measuring distance changes between feature points, as opposed to their displacement changes before this improvement, eliminates the need of camera motion compensation and enables reliable and computationally efficient fatigue crack detection using the nonstationary AR headset. In addition, an AR environment is created and integrated with the computer vision algorithm. The crack detection results are transmitted to the AR headset worn by the bridge inspector, where they are converted into holograms and anchored on the bridge surface in the 3D real-world environment. The AR environment also provides virtual menus to support human-in-the-loop decision-making to determine optimal crack detection parameters. This human-centered approach with improved visualization and human-machine collaboration aids the inspector in making well-informed decisions in the field in a near-real-time fashion. The proposed crack detection method is comprehensively assessed using two laboratory test setups for both in-plane and out-of-plane fatigue cracks. Finally, using the integrated AR environment, a human-centered bridge inspection is conducted to demonstrate the efficacy and potential of the proposed methodology.
Topics: Humans; Algorithms; Augmented Reality; Image Processing, Computer-Assisted
PubMed: 38894475
DOI: 10.3390/s24113685 -
Sensors (Basel, Switzerland) Jun 2024Postural instability is a common complication in advanced Parkinson's disease (PD) associated with recurrent falls and fall-related injuries. The test of retropulsion,...
Postural instability is a common complication in advanced Parkinson's disease (PD) associated with recurrent falls and fall-related injuries. The test of retropulsion, consisting of a rapid balance perturbation by a pull in the backward direction, is regarded as the gold standard for evaluating postural instability in PD and is a key component of the neurological examination and clinical rating in PD (e.g., MDS-UPDRS). However, significant variability in test execution and interpretation contributes to a low intra- and inter-rater test reliability. Here, we explore the potential for objective, vision-based assessment of the pull test (vPull) using 3D pose tracking applied to single-sensor RGB-Depth recordings of clinical assessments. The initial results in a cohort of healthy individuals ( = 15) demonstrate overall excellent agreement of vPull-derived metrics with the gold standard marker-based motion capture. Subsequently, in a cohort of PD patients and controls ( = 15 each), we assessed the inter-rater reliability of vPull and analyzed PD-related impairments in postural response (including pull-to-step latency, number of steps, retropulsion angle). These quantitative metrics effectively distinguish healthy performance from and within varying degrees of postural impairment in PD. vPull shows promise for straightforward clinical implementation with the potential to enhance the sensitivity and specificity of postural instability assessment and fall risk prediction in PD.
Topics: Humans; Parkinson Disease; Postural Balance; Male; Female; Middle Aged; Aged; Accidental Falls; Reproducibility of Results; Posture; Adult
PubMed: 38894463
DOI: 10.3390/s24113673 -
Sensors (Basel, Switzerland) May 2024Technological advancements have expanded the range of methods for capturing human body motion, including solutions involving inertial sensors (IMUs) and optical...
Technological advancements have expanded the range of methods for capturing human body motion, including solutions involving inertial sensors (IMUs) and optical alternatives. However, the rising complexity and costs associated with commercial solutions have prompted the exploration of more cost-effective alternatives. This paper presents a markerless optical motion capture system using a RealSense depth camera and intelligent computer vision algorithms. It facilitates precise posture assessment, the real-time calculation of joint angles, and acquisition of subject-specific anthropometric data for gait analysis. The proposed system stands out for its simplicity and affordability in comparison to complex commercial solutions. The gathered data are stored in comma-separated value (CSV) files, simplifying subsequent analysis and data mining. Preliminary tests, conducted in controlled laboratory environments and employing a commercial MEMS-IMU system as a reference, revealed a maximum relative error of 7.6% in anthropometric measurements, with a maximum absolute error of 4.67 cm at average height. Stride length measurements showed a maximum relative error of 11.2%. Static joint angle tests had a maximum average error of 10.2%, while dynamic joint angle tests showed a maximum average error of 9.06%. The proposed optical system offers sufficient accuracy for potential application in areas such as rehabilitation, sports analysis, and entertainment.
Topics: Humans; Algorithms; Anthropometry; Gait; Gait Analysis; Male; Biomechanical Phenomena; Adult; Motion Capture
PubMed: 38894161
DOI: 10.3390/s24113371 -
Diagnostics (Basel, Switzerland) Jun 2024Glaucoma is a chronic eye condition that seriously impairs vision and requires early diagnosis and treatment. Automated detection techniques are essential for obtaining...
Enhancing Medical Image Classification with an Advanced Feature Selection Algorithm: A Novel Approach to Improving the Cuckoo Search Algorithm by Incorporating Caputo Fractional Order.
Glaucoma is a chronic eye condition that seriously impairs vision and requires early diagnosis and treatment. Automated detection techniques are essential for obtaining a timely diagnosis. In this paper, we propose a novel method for feature selection that integrates the cuckoo search algorithm with Caputo fractional order (CFO-CS) to enhance the performance of glaucoma classification. However, when using the infinite series, the Caputo definition has memory length truncation issues. Therefore, we suggest a fixed memory step and an adjustable term count for optimization. We conducted experiments integrating various feature extraction techniques, including histograms of oriented gradients (HOGs), local binary patterns (LBPs), and deep features from MobileNet and VGG19, to create a unified vector. We evaluate the informative features selected from the proposed method using the k-nearest neighbor. Furthermore, we use data augmentation to enhance the diversity and quantity of the training set. The proposed method enhances convergence speed and the attainment of optimal solutions during training. The results demonstrate superior performance on the test set, achieving 92.62% accuracy, 94.70% precision, 93.52% F1-Score, 92.98% specificity, 92.36% sensitivity, and 85.00% Matthew's correlation coefficient. The results confirm the efficiency of the proposed method, rendering it a generalizable and applicable technique in ophthalmology.
PubMed: 38893717
DOI: 10.3390/diagnostics14111191 -
Diagnostics (Basel, Switzerland) May 2024The early detection of esophageal cancer presents a substantial difficulty, which contributes to its status as a primary cause of cancer-related fatalities. This study...
The early detection of esophageal cancer presents a substantial difficulty, which contributes to its status as a primary cause of cancer-related fatalities. This study used You Only Look Once (YOLO) frameworks, specifically YOLOv5 and YOLOv8, to predict and detect early-stage EC by using a dataset sourced from the Division of Gastroenterology and Hepatology, Ditmanson Medical Foundation, Chia-Yi Christian Hospital. The dataset comprised 2741 white-light images (WLI) and 2741 hyperspectral narrowband images (HSI-NBI). They were divided into 60% training, 20% validation, and 20% test sets to facilitate robust detection. The images were produced using a conversion method called the spectrum-aided vision enhancer (SAVE). This algorithm can transform a WLI into an NBI without requiring a spectrometer or spectral head. The main goal was to identify dysplasia and squamous cell carcinoma (SCC). The model's performance was evaluated using five essential metrics: precision, recall, F1-score, mAP, and the confusion matrix. The experimental results demonstrated that the HSI model exhibited improved learning capabilities for SCC characteristics compared with the original RGB images. Within the YOLO framework, YOLOv5 outperformed YOLOv8, indicating that YOLOv5's design possessed superior feature-learning skills. The YOLOv5 model, when used in conjunction with HSI-NBI, demonstrated the best performance. It achieved a precision rate of 85.1% (CI95: 83.2-87.0%, < 0.01) in diagnosing SCC and an F1-score of 52.5% (CI95: 50.1-54.9%, < 0.01) in detecting dysplasia. The results of these figures were much better than those of YOLOv8. YOLOv8 achieved a precision rate of 81.7% (CI95: 79.6-83.8%, < 0.01) and an F1-score of 49.4% (CI95: 47.0-51.8%, < 0.05). The YOLOv5 model with HSI demonstrated greater performance than other models in multiple scenarios. This difference was statistically significant, suggesting that the YOLOv5 model with HSI significantly improved detection capabilities.
PubMed: 38893655
DOI: 10.3390/diagnostics14111129 -
Diagnostics (Basel, Switzerland) May 2024To clinically evaluate how dry eye symptoms in preoperatively diagnosed dry eye patients change with the use of sodium hyaluronate- and dexpanthenol-containing eye drops...
BACKGROUND
To clinically evaluate how dry eye symptoms in preoperatively diagnosed dry eye patients change with the use of sodium hyaluronate- and dexpanthenol-containing eye drops (HYLO CARE (HC), URSAPHARM Arzneimittel GmbH, Saarbruecken, Germany) after cataract surgery. The aim of the study was not to compare different eye drops but to implement standard treatment in patients with dry eye undergoing cataract surgery. The impact of treatment was evaluated using Symptom Assessment Tools for Dry Eye.
METHODS
In this prospective, single-center, open-label clinical trial, 49 patients undergoing cataract surgery were included who showed signs and symptoms of dry eye disease assessed by the Symptom Assessment in Dry Eye (Visual Analogue Scale (VAS)) questionnaire, Ocular Surface Disease Index (OSDI), and fluorescein tear break-up Time (TBUT). Patients were instructed to apply HC three to four times a day for 5 weeks in the operated eye in addition to the standard postoperative topical anti-inflammatory regimen. The primary endpoint was the change in TBUT. Secondary endpoints were the assessment of the subjective symptoms (VAS), corrected distance visual acuity (CDVA), and slit-lamp examination including the corneal staining score, Schirmer test, and intraocular pressure.
RESULTS
At 5 weeks after operation, the mean TBUT increased from 6.42 ± 1.57 s (s) to 7.81 ± 1.83 s in the per-protocol (PP) population ( > 0.001) and from 6.33 ± 1.64 s to 7.71 ± 2.05 s in the intention-to-treat (ITT) population ( < 0.001). There was a statistically significant decrease in all scores ( < 0.05) from the VAS questionnaire except for the tearing score ( = 0.062) at 5 weeks after operation. The mean total corneal staining score also decreased statistically significantly from 8.85 ± 2.49 before operation to 5.61 ± 3.37 at 5 weeks after operation on a 15-point scale.
CONCLUSIONS
Controlled standardized dry eye treatment (with HC) improved tear film stability, ocular surface defects, and subjective symptoms of dry eye disease in patients 5 weeks after undergoing cataract surgery. Both the patient and physician assessments indicated high efficacy, tolerability, and a reliable safety profile, as indicated by the low number of at least possibly related adverse events (AE), suggesting its beneficial role in the postoperative management of the ocular surface (OS) in patients with dry eye symptoms prior to and after cataract surgery.
PubMed: 38893624
DOI: 10.3390/diagnostics14111097 -
PloS One 2024This paper proposes a retinal prosthesis edge detection (RPED) algorithm that can achieve high visual acuity and low power. Retinal prostheses have been used to...
This paper proposes a retinal prosthesis edge detection (RPED) algorithm that can achieve high visual acuity and low power. Retinal prostheses have been used to stimulate retinal tissue by injecting charge via an electrode array, thereby artificially restoring the vision of visually impaired patients. The retinal prosthetic chip, which generates biphasic current pulses, should be located in the foveal area measuring 5 mm × 5 mm. When a high-density stimulation pixel array is realized in a limited area, the distance between the stimulation pixels narrows, resulting in current dispersion and high-power dissipation related to heat generation. Various edge detection methods have been proposed over the past decade to reduce these deleterious effects and achieve high-resolution pixels. However, conventional methods have the disadvantages of high-power consumption and long data processing times because many pixels are activated to detect edges. In this study, we propose a novel RPED algorithm that has a higher visual acuity and less power consumption despite using fewer active pixels than existing techniques. To verify the performance of the devised RPED algorithm, the peak signal-to-noise ratio and structural similarity index map, which evaluates the quantitative numerical value of the image are employed and compared with the Sobel, Canny, and past edge detection algorithms in MATLAB. Finally, we demonstrate the effectiveness of the proposed RPED algorithm using a 1600-pixel retinal stimulation chip fabricated using a 0.35 μm complementary metal-oxide-semiconductor process.
Topics: Visual Prosthesis; Algorithms; Humans; Visual Acuity; Retina; Signal-To-Noise Ratio
PubMed: 38889114
DOI: 10.1371/journal.pone.0305132 -
Translational Vision Science &... Jun 2024To report on cases of unilateral perimacular atrophy after treatment with voretigene neparvovec-rzyl, in the setting of previous contralateral eye treatment with a...
PURPOSE
To report on cases of unilateral perimacular atrophy after treatment with voretigene neparvovec-rzyl, in the setting of previous contralateral eye treatment with a different viral vector.
DESIGN
Single-center, retrospective chart review.
METHODS
In this case series, four patients between the ages of six and 11 years old with RPE65-related retinopathy were treated unilaterally with rAAV2-CB-hRPE65 as part of a gene augmentation clinical trial (NCT00749957). Six to 10 years later the contralateral eyes were treated with the Food and Drug Administration-approved drug, voretigene neparvovec-rzyl. Best-corrected visual acuity (BCVA), fundus photos, ocular coherence tomography, two-color dark-adapted perimetry, full field stimulus threshold testing (FST), and location of subretinal bleb and chorioretinal atrophy were evaluated.
RESULTS
Three out of four patients showed unilateral perimacular atrophy after treatment with voretigene, ranging from five to 22 months after treatment. Areas of robust visual field improvement were followed by areas of chorioretinal atrophy. Despite perimacular changes, BCVA, FST, and subjective improvements in vision and nyctalopia were maintained. Perimacular atrophy was not observed in the first eye treated with the previous viral vector.
CONCLUSIONS
We observed areas of robust visual field improvement followed by perimacular atrophy in voretigene treated eyes, as compared to the initially treated contralateral eyes.
TRANSLATIONAL RELEVANCE
Caution is advised when using two different viral vectors between eyes in gene therapy. This may become an important issue in the future with increasing gene therapy clinical trials for inherited retinal dystrophies.
Topics: Humans; Retrospective Studies; Genetic Vectors; Genetic Therapy; Male; Female; Child; Visual Acuity; Tomography, Optical Coherence; cis-trans-Isomerases; Dependovirus; Atrophy; Visual Fields
PubMed: 38888288
DOI: 10.1167/tvst.13.6.11 -
Physical Chemistry Chemical Physics :... Jun 2024While model studies with small nanoparticles offer a bridge between applied experiments and theoretical calculations, the intricacies of working with well-defined... (Review)
Review
While model studies with small nanoparticles offer a bridge between applied experiments and theoretical calculations, the intricacies of working with well-defined nanoparticles in electrochemistry pose challenges for experimental researchers. This perspective dives into nanoparticle electrochemistry, provides experimental insights to uncover their intrinsic catalytic activity and draws conclusions about the effects of altering their size, composition, or loading. Our goal is to help uncover unexpected contamination sources and establish a robust experimental methodology, which eliminates external parameters that can overshadow the intrinsic activity of the nanoparticles. Additionally, we explore the experimental difficulties that can be encountered, such as stability issues, and offer strategies to mitigate their impact. From support preparation to electrocatalytic tests, we guide the reader through the entire process, shedding light on potential challenges and crucial experimental details when working with these complex systems.
PubMed: 38888144
DOI: 10.1039/d4cp00889h