Assessment of prevalence and need for screening of diabetic retinopathy using non-mydriatic fundus camera in rural and tribal diabetic populations in Maharashtra.

PURPOSE: To assess the prevalence of DR and the need for screening and management of DR with medical management of diabetes in rural and tribal population in Maharashtra. METHODS: The known diabetics of rural area and tribal area were screened at corresponding primary health centers, subcenters, and village level with the help of local healthcare workers using a portable non-mydriatic fundus camera. The prevalence of blindness among known diabetics in rural area was 1.29%, and 0.84% in tribal area. RESULTS: In the rural area, the prevalence of diabetic retinopathy (DR) was 5.67% ( n = 776), out of those 18.18% had sight threatening diabetic retinopathy (STDR). The prevalence of DR was 7.73% ( n = 711) in tribal areas, out of those, 30.90% had STDR. CONCLUSIONS: The significant risk factors were identified to be the duration of diabetes and poor glycemic control. Implementation of targeted interventions for screening and management are required to reduce the risk of blindness among known diabetics in rural and tribal areas.

Image-based non-invasive assessment of suction blister wounds for clinical safety and efficacy.

Recognising the need for objective imaging-based technologies to assess wound healing in clinical studies, the suction blister wound model offers an easily accessible wound model that creates reproducible epidermal wounds that heal without scarring. This study provides a comprehensive methodology for implementing and evaluating photography-based imaging techniques utilising the suction blister wound model. Our method encompasses a protocol for capturing consistent, high-quality photographs and procedures for quantifying these images via a visual wound healing score and a computer-assisted colour analysis of wound exudation and wound redness. We employed this methodology on 16 suction blister wounds used as controls in a clinical phase-1 trial. Our method enabled us to discern and quantify subtle differences between individual wounds concerning healing progress, erythema and wound exudation. The wound healing score exhibited a high inter-rater agreement. There was a robust correlation between the spectrophotometer-measured erythema index and photography-based wound redness, as well as between dressing protein content and photography-based dressing yellowness. In conclusion, this study equips researchers conducting clinical wound studies with reproducible methods that may support future wound research and aid in the development of new treatments.

Invention of automated numerical algorithm adopting binarization for the evaluation of scalp hair coverage: An image analysis providing a substitute for phototrichogram and global photography assessment for hair diseases.

BACKGROUND: The efficacy of therapeutic modalities for hair disease can be evaluated globally by photo assessment and more precisely by phototrichogram (PTG). However, the latter procedure is laborious, time consuming, subject to inter-observer variation, and requires hair clipping. OBJECTIVE: To establish an automated and patient/investigator friendly methodology enabling quantitative hair amount evaluation for daily clinical practice. METHODS: A novel automated numerical algorithm (aNA) adopting digital image binarization (i.e., black and white color conversion) was invented to evaluate hair coverage and measure PTG parameters in scalp images. Step-by-step improvement of aNA was attempted through comparative analyses of the data obtained respectively by the novel approach and conventional PTG/global photography assessment (GPA). RESULTS: For measuring scalp hair coverage, the initial version of aNA generally agreed with the cumulative hair diameter as assessed using PTG, showing a coefficient of 0.60. However, these outcomes were influenced by the angle of hair near the parting line. By integrating an angle compensation formula, the standard deviation of aNA data decreased from 5.7% to 1.2%. Consequently, the coefficient of determination for hair coverage calculated using the modified aNA and cumulative hair diameter assessed by PTG increased to 0.90. Furthermore, the change in hair coverage as determined by the modified aNA protocol correlated well with changes in the GPA score of images obtained using clinical trials. CONCLUSION: The novel aNA method provides a valuable tool for enabling simple and accurate evaluation of hair growth and volume for clinical trials and for treatment of hair disease.

MSHF: A Multi-Source Heterogeneous Fundus (MSHF) Dataset for Image Quality Assessment.

Image quality assessment (IQA) is significant for current techniques of image-based computer-aided diagnosis, and fundus imaging is the chief modality for screening and diagnosing ophthalmic diseases. However, most of the existing IQA datasets are single-center datasets, disregarding the type of imaging device, eye condition, and imaging environment. In this paper, we collected a multi-source heterogeneous fundus (MSHF) database. The MSHF dataset consisted of 1302 high-resolution normal and pathologic images from color fundus photography (CFP), images of healthy volunteers taken with a portable camera, and ultrawide-field (UWF) images of diabetic retinopathy patients. Dataset diversity was visualized with a spatial scatter plot. Image quality was determined by three ophthalmologists according to its illumination, clarity, contrast and overall quality. To the best of our knowledge, this is one of the largest fundus IQA datasets and we believe this work will be beneficial to the construction of a standardized medical image database.

Comparison of quantitative assessment and efficiency of diabetic retinopathy diagnosis using ETDRS seven-field imaging and two ultra-widefield imaging.

PURPOSE: This study compared the efficiency of diabetic retinopathy (DR) diagnosis and differences in the relative visible retinal area among the Early Treatment Diabetic Retinopathy Study (ETDRS) seven-field, ultra-widefield (UWF)-Optos, and UWF-Clarus fundus imaging methods. METHODS: This was a prospective and clinic-based comparative study. All patients underwent three fundus examinations, and all images were graded using the ETDRS severity scale. We compared and analysed the agreement of DR severity and the relative visible retinal area among the three fundus examination methods, and the number and type of lesions outside the ETDRS seven-field (peripheral lesions) between the two UWF imaging methods. RESULTS: A total of 202 patients (386 eyes) were included. Weighted kappa for the agreement between ETDRS seven-field and blinded Optos images was 0.485; between ETDRS seven-field and blinded Clarus images, 0.924; and between blinded Optos and Clarus images, 0.461. Blinded Clarus showed excellent performance when a ETDRS scale was used for grading the images. The relative visible retinal area for ETDRS seven-field images was 195 ± 28 disc area (DA); single Optos images, 371 ± 69 DA; single Clarus images, 261 ± 65 DA; two-montage Clarus images, 462 ± 112 DA; and four-montage Clarus images, 598 ± 139 DA. The relative visible retinal area was statistically significant between any two of the imaging systems used. In total, 2015 and 4200 peripheral lesions were detected in single Optos and Clarus images, respectively (P < 0.001). These peripheral lesions on two UWF images suggested a more severe DR level in approximately 10% and 12% of eyes, respectively. CONCLUSION: UWF-Clarus fundus imaging offers a suitable assessment approach for DR severity; it could improve DR diagnosis and has the potential to replace ETDRS seven-field imaging after additional clinical trials.

Diabetic retinopathy screenings in West Virginia: an assessment of teleophthalmology implementation.

BACKGROUND: The prevalence of diabetes in the state of West Virginia (WV) is amongst the highest in the United States, making diabetic retinopathy (DR) and diabetic macular edema (DME) a major epidemiological concern within the state. Several challenges exist regarding access to eye care specialists for DR screening in this rural population. A statewide teleophthalmology program has been implemented. We analyzed real-world data acquired via these systems to explore the concordance between image findings and subsequent comprehensive eye exams and explore the impact of age on image gradeability and patient distance from the West Virginia University (WVU) Eye Institute on follow-up. METHODS: Nonmydriatic fundus images of diabetic eyes acquired at primary care clinics throughout WV were reviewed by retina specialists at the WVU Eye Institute. Analysis included the concordance between image interpretations and dilated examination findings, hemoglobin A1c (HbA1c) levels and DR presence, image gradeability and patient age, and distance from the WVU Eye Institute and follow-up compliance. RESULTS: From the 5,512 fundus images attempted, we found that 4,267 (77.41%) were deemed gradable.  Out of the 289 patients whose image results suggested DR, 152 patients (52.6%) followed up with comprehensive eye exams-finding 101 of these patients to truly have DR/DME and allowing us to determine a positive predictive value of 66.4%. Patients within the HbA1c range of 9.1-14.0% demonstrated significantly greater prevalence of DR/DME (p < 0.01).  We also found a statistically significant decrease in image gradeability with increased age.  When considering distance from the WVU Eye Institute, it was found that patients who resided within 25 miles demonstrated significantly greater compliance to follow-up (60% versus 43%, p < 0.01). CONCLUSIONS: The statewide implementation of a telemedicine program intended to tackle the growing burden of DR in WV appears to successfully bring concerning patient cases to the forefront of provider attention.  Teleophthalmology addresses the unique rural challenges of WV, but there is suboptimal compliance to essential follow-up with comprehensive eye exams. Obstacles remain to be addressed if these systems are to effectively improve outcomes in DR/DME patients and diabetic patients at risk of developing these sight-threatening pathologies.

Non-contact wound area assessment by digital planimetry using photo editing software.

To objectively assess wound healing utilizing a novel digital photo planimetry method. 58 wounds mostly of traumatic origin were studied. In method I (control or gold standard), a transparent plastic graph paper sheet with 2.5 mm squares was placed on the wound to trace the wound edges. This was scanned and analyzed in Adobe Photoshop (PS6) to estimate the area. In the novel method (method II), we clicked a photo with one-inch lines marked (on either side of the wound). This photo was similarly assessed in PS6. A two-sample t-test was used for analysis. Photos were clicked every third day. The time taken to calculate the resultant area was also noted. 484 photos and 1936 values were analyzed. The mean areas obtained were 10690 mm 2 and 10859 mm 2 respectively by methods I and II. The mean difference was 0.824%, 95% CI [-0.05, 1.60] and p = 0.923. The inter and intra- observer variation was < 2% for all readings. The time taken by the novel method was much lesser than the time-tested method (mean = 82 sec vs 178 sec; p < 0.01). The difference in area by the two methods is not statistically significant. The accuracy of both methods is therefore comparable. Our novel method is easier, more cost-effective, equally accurate, safer and reproducible in comparison with the transparency squares method, especially for flat or 2-dimensional wounds.

The assessment of fundus image quality labeling reliability among graders with different backgrounds.

PURPOSE: For the training of machine learning (ML) algorithms, correctly labeled ground truth data are inevitable. In this pilot study, we assessed the performance of graders with different backgrounds in the labeling of retinal fundus image quality. METHODS: Color fundus photographs were labeled using a Python-based tool using four image categories: excellent (E), good (G), adequate (A) and insufficient for grading (I). We enrolled 8 subjects (4 with and 4 without medical background, groups M and NM, respectively) to whom a tutorial was presented on image quality requirements. We randomly selected 200 images from a pool of 18,145 expert-labeled images (50/E, 50/G, 50/A, 50/I). The performance of the grading was timed and the agreement was assessed. An additional grading round was performed with 14 labels for a more objective analysis. RESULTS: The median time (interquartile range) for the labeling task with 4 categories was 987.8 sec (418.6) for all graders and 872.9 sec (621.0) vs. 1019.8 sec (479.5) in the M vs. NM groups, respectively. Cohen's weighted kappa showed moderate agreement (0.564) when using four categories that increased to substantial (0.637) when using only three by merging the E and G groups. By the use of 14 labels, the weighted kappa values were 0.594 and 0.667 when assigning four or three categories, respectively. CONCLUSION: Image grading with a Python-based tool seems to be a simple yet possibly efficient solution for the labeling of fundus images according to image quality that does not necessarily require medical background. Such grading can be subject to variability but could still effectively serve the robust identification of images with insufficient quality. This emphasizes the opportunity for the democratization of ML-applications among persons with both medical and non-medical background. However, simplicity of the grading system is key to successful categorization.

From monocular photograph to angle lambda: A new clinical approach for quantitative assessment.

Angle lambda assessment is essential in pediatric and strabismus practice. An abnormal angle lambda will modify the visual appearance of a strabismus or mimic one. Currently, angle lambda can be assessed by corneal topographs. Unfortunately, the use of these devices remains limited in the context of a strabismus clinic. Herein, we propose an easy, low cost, and reproducible method for angle lambda quantification, based on monocular photographs. Monocular pictures were taken by using a camera with a ring flash, centered by a fixation point. A digital evaluation analyzed the position of the corneal reflex on the pupil diameter. Using a trigonometric formula, the resulting ratio was converted into the value of angle lambda. This method was tested on 20 healthy eyes, on two successive couples of pictures, to evaluate its repeatability. Assessment using Pentacam was performed for comparison. The mean value of angle lambda was +2.61° ± 2.92° and 2.63° ± 2.85° in both picture series, respectively, and Lin's repeatability coefficient was 0.99 - with a systematic deviation of -0.071° compared to Pentacam assessment. Angle lambda distribution was in range with values from the literature. This new method allows for angle lambda assessment without requiring a specific device and can be used in strabismus and pediatric clinics.

ASSESSMENT OF FLUORESCEIN ANGIOGRAPHY NONPERFUSION IN EYES WITH DIABETIC RETINOPATHY USING ULTRAWIDE FIELD RETINAL IMAGING.

PURPOSE: Evaluate association of retinal nonperfusion (NP) on ultrawide field (UWF) fluorescein angiography (FA) with diabetic retinopathy (DR) severity and predominantly peripheral lesions (PPL). METHODS: Multicenter observational study, 652 eyes (361 participants) having nonproliferative DR (NPDR) without center-involved diabetic macular edema in at least one eye. Baseline 200° UWF-color and UWF-FA images were graded by a central reading center for color-PPL and FA-PPL, respectively. UWF-FA was graded for NP index within concentric zones: posterior pole (<10 mm from fovea), midperiphery (10-15 mm), and far periphery (>15 mm). RESULTS: Baseline Early Treatment Diabetic Retinopathy Study DR severity was 31.7% no DR/mild NPDR, 24.1% moderate NPDR, 14.0% moderately severe NPDR, 25.6% severe/very severe NPDR, and 4.6% proliferative DR. Worse DR severity was associated with increased NP index overall (P = 0.002), in the posterior pole (P < 0.001), midperiphery (P < 0.001), and far periphery (P = 0.03). On average, 29.6% of imaged retinal NP was in the posterior pole, 33.7% in midperiphery, and 36.7% in far periphery. Increased NP index was associated with FA-PPL (P < 0.001) but not with color-PPL (P = 0.65). CONCLUSION: Approximately, 70% of NP in diabetic eyes is located outside the posterior pole. Increased NP is associated with the presence of FA-PPL, suggesting UWF-FA may better predict future DR worsening than UWF-color alone.

A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis.

Understanding long-term trends in marine ecosystems requires accurate and repeatable counts of fishes and other aquatic organisms on spatial and temporal scales that are difficult or impossible to achieve with diver-based surveys. Long-term, spatially distributed cameras, like those used in terrestrial camera trapping, have not been successfully applied in marine systems due to limitations of the aquatic environment. Here, we develop methodology for a system of low-cost, long-term camera traps (Dispersed Environment Aquatic Cameras), deployable over large spatial scales in remote marine environments. We use machine learning to classify the large volume of images collected by the cameras. We present a case study of these combined techniques' use by addressing fish movement and feeding behavior related to halos, a well-documented benthic pattern in shallow tropical reefscapes. Cameras proved able to function continuously underwater at deployed depths (up to 7 m, with later versions deployed to 40 m) with no maintenance or monitoring for over five months and collected a total of over 100,000 images in time-lapse mode (by 15 minutes) during daylight hours. Our ResNet-50-based deep learning model achieved 92.5% overall accuracy in sorting images with and without fishes, and diver surveys revealed that the camera images accurately represented local fish communities. The cameras and machine learning classification represent the first successful method for broad-scale underwater camera trap deployment, and our case study demonstrates the cameras' potential for addressing questions of marine animal behavior, distributions, and large-scale spatial patterns.

Development and validation of a data quality index for forensic documentation of sexual and gender-based violence in Kenya.

INTRODUCTION: High-quality forensic documentation can improve justice outcomes for survivors of sexual and gender-based violence, but there are limited tools to assess documentation data quality. This study aimed to develop and validate a data quality assessment index to objectively assess clinician documentation across the 26 key elements of the standardized forensic evidence forms used in Kenya. METHODS: Informed by prior quality assessment tools, an initial draft of the index was developed. Feedback from Kenya- and U.S.-based clinicians and human rights experts was solicited and incorporated into the draft index in an iterative fashion. Two raters independently employed the finalized Physicians for Human Rights Data Quality Index to assess and score the quality of documentation across 31 clinician-completed forms. Inter-rater reliability was determined using Cohen kappa (к) coefficients. RESULTS: The Index was found to have substantial overall reliability. Of the 26 documentation items, the Index had a perfect (к = 1.0) and almost perfect (к = 0.81-0.99) level of inter-rater agreement across 17 (65.4%) and 5 (19.2%) items, respectively. On a low-to-high documentation quality scale of 0 to 2, the majority of items (n = 19, 73.1%) had a mean documentation quality score >1.5-2. CONCLUSION: Quality assurance of forensic documentation is an essential component of post-sexual assault care. To our knowledge, this is the first validated quality-assessment tool in the peer-reviewed literature for sexual assault documentation and may be a promising strategy to enhance the quality of sexual assault documentation in other settings, locally, regionally, and internationally.

Retinografia como forma de rastreio de retinopatia diabética em hospital terciário do Sistema Único de Saúde / Color retinography as a means of screening for diabetic retinopathy in the tertiary hospital of Unified Health System

RESUMO Objetivo Avaliar o impacto da triagem de retinopatia diabética de paciente diabéticos realizada com retinografia colorida. Métodos Estudo retrospectivo, de caráter descritivo, avaliando laudos de retinografias realizadas desde a implementação do protocolo da triagem de retinopatia diabética de paciente diabéticos acompanhados no Ambulatório de Endocrinologia de um hospital terciário do Sistema Único de Saúde, de maio de 2018 até maio de 2020. Resultados Realizaram retinografia 727 pacientes diabéticos, que tinham entre 14 e 91 anos, sendo a maioria com 60 anos ou mais (53,2%), do sexo feminino (68%) e brancos (87,6%). Não apresentavam retinopatia diabética 467 (64,2%) pacientes, 125 (17,2%) tinham retinopatia diabética não proliferativa, 37 (5,1%) retinopatia diabética não proliferativa grave e/ou suspeita de edema macular, 65 (8,9%) retinopatia diabética proliferativa, 21 (2,9%) suspeita de outras patologias, e as imagens de 12 (1,7%) pacientes eram insatisfatórias. Foram considerados de alto risco (aqueles com retinopatia diabética não proliferativa grave e/ou edema macular, retinopatia diabética proliferativa ou imagem insatisfatória) 114 (15,68%) pacientes. Conclusão O rastreio de retinopatia diabética com retinografia colorida possibilitou a detecção de pacientes diabéticos de alto risco que necessitavam atendimento com brevidade, permitindo o acesso deles à consulta oftalmológica e diminuindo a morbidade da doença relacionada ao tratamento tardio. Os demais foram encaminhados à Atenção Primária para regulamentação, por meio do Sistema de Regulação.

ABSTRACT Objective To evaluate the impact of diabetic retinopathy (DR) screening using color retinography in diabetic patients. Methods Retrospective descriptive study, evaluating reports of all retinographs performed since the implementation of the protocol for screening for diabetic retinopathy in diabetic patients followed up at the endocrinology outpatient clinic of a tertiary hospital of the Unified Health System, from May 2018 to May 2020. Results 727 diabetic with age range from 14 to 91 years old, the majority being 60 years old or older (53.2%), female (68%) and white (87.6%), patients underwent retinography. Of the patients, 467 (64.2%) did not have DR, 125 (17.2%) had non-proliferative DR, 37 (5.1%) had severe non-proliferative DR and/or suspected macular edema, 65 (8.9%) had proliferative DR, 21 (2.9%) had suspicion signs of other pathologies and 12 (1.7%) had unsatisfactory images. A total of 114 (15.68%) patients were considered at high risk (those with severe non-proliferative NP and/or EM, proliferative DR or poor image) and were referred for comprehensive ophthalmic evaluation. Conclusion The screening of RD with color retinography enabled the detection of high-risk diabetic patients who needed assistance sooner and enabled their access to ophthalmologic consultation, which decreased disease morbidity. The others were referred to primary care for regulation through the Regulation System (SISREG).

Visualizing DEPICT: A Multistep Model for Participatory Analysis in Photovoice Research for Social Change.

As a critical narrative intervention, photovoice invites community members to use photography to identify, document, and discuss issues in their communities. The method is often employed with projects that have a social change mandate. Photovoice may help participants express issues that are difficult to articulate, create tangible and meaningful research products for communities, and increase feelings of ownership. Despite being hailed as a promising participatory method, models for how to integrate diverse stakeholders feasibly, collaboratively, and rigorously into the analytic process are rare. The DEPICT model, originally developed to collaboratively analyze textual data, enhances rigor by including multiple stakeholders in the analysis process. We share lessons learned from Picturing Participation, a photovoice project exploring engagement in the HIV sector, to describe how we adapted DEPICT to collaboratively analyze participant-generated images and narratives across multiple sites. We highlight the following stages: dynamic reading, engaged codebook development, participatory coding, inclusive reviewing and summarizing of categories, and collaborative analysis and translation, and we discuss how participatory analysis is compatible with creative, interactive dissemination outputs such as exhibitions, presentations, and workshops. The benefits of Visualizing DEPICT include feelings of increased ownership by community researchers and participants, enhanced rigor, and sophisticated knowledge translation approaches that honor multiple forms of knowing and community leadership. The potential challenges include navigating team capacity and resources, transparency and confidentiality, power dynamics, data overload, and streamlining "messy" analytic processes without losing complexity or involvement. Throughout, we offer recommendations for designing participatory visual analysis processes that are connected to critical narrative intervention and social change aims.

Picturing donations: Do images influence conservation fundraising?

Many environmental organizations use photographic images to engage donors and supporters. While images play a role in fundraising, visual framing remains understudied in the environmental field. Few real-world experiments have examined which types of images result in higher donations to biodiversity conservation. We examined the role of images in conservation fundraising through a public experiment at Zoomarine, a marine park located in southern Portugal. Zoomarine runs a program called Dolphin Emotions where visitors pay to learn about dolphin biology and to interact with dolphins. We placed a donation box and a large informational poster about the Marine Megafauna Foundation, a conservation partner, in the lounge of the Dolphin Emotions program, which is open to participants and their families. The text on the poster, which solicited donations for the Marine Megafauna Foundation, was held constant, while four different image conditions were tested: dolphins, ocean wildlife, children, and people staring out from the poster (i.e., "watching eyes"). Each image condition was displayed for three days at a time and was on display for at least seven randomly assigned three-day periods over the course of 91 days. 20,944 visitors passed the donation box and the four poster conditions during this time and a total of € 952.40 was collected. The differences in mean donations in € per visitor per 3-day period were not statistically significant, F(3, 25) = 0.745, p = 0.54. Thus, we did not find that different images had a significant influence on donations to conservation. This may be due to our choice of visual frames or to the use of a donation box, which is a passive fundraising channel. Future research should examine how visual framing influences donations in other public settings and should test the influence of other visual frames on philanthropic behavior.

Assessment of patient specific information in the wild on fundus photography and optical coherence tomography.

In this paper we analyse the performance of machine learning methods in predicting patient information such as age or sex solely from retinal imaging modalities in a heterogeneous clinical population. Our dataset consists of N = 135,667 fundus images and N = 85,536 volumetric OCT scans. Deep learning models were trained to predict the patient's age and sex from fundus images, OCT cross sections and OCT volumes. For sex prediction, a ROC AUC of 0.80 was achieved for fundus images, 0.84 for OCT cross sections and 0.90 for OCT volumes. Age prediction mean absolute errors of 6.328 years for fundus, 5.625 years for OCT cross sections and 4.541 for OCT volumes were observed. We assess the performance of OCT scans containing different biomarkers and note a peak performance of AUC = 0.88 for OCT cross sections and 0.95 for volumes when there is no pathology on scans. Performance drops in case of drusen, fibrovascular pigment epitheliuum detachment and geographic atrophy present. We conclude that deep learning based methods are capable of classifying the patient's sex and age from color fundus photography and OCT for a broad spectrum of patients irrespective of underlying disease or image quality. Non-random sex prediction using fundus images seems only possible if the eye fovea and optic disc are visible.

Incorporating Optical Coherence Tomography Macula Scans Enhances Cost-effectiveness of Fundus Photography-Based Screening for Diabetic Macular Edema.

OBJECTIVE: To compare four screening strategies for diabetic macular edema (DME). RESEARCH DESIGN AND METHODS: Patients attending diabetic retinopathy screening were recruited and received macular optical coherence tomography (OCT), in addition to visual acuity (VA) and fundus photography (FP) assessments, as part of the standard protocol. Two retina specialists provided the reference grading by independently assessing each subject's screened data for DME. The current standard protocol (strategy A) was compared for sensitivity, specificity, quality-adjusted life-year (QALY) gained, and incremental cost-effectiveness ratio (ICER) with three alternative candidate protocols using a simulation model with the same subjects. In strategy B, macular hemorrhage or microaneurysm on FP were removed as surrogate markers for possible DME. Strategy C used best-corrected instead of habitual/pinhole VA and added central subfield thickness (CST) >290 µm on OCT in suspected cases as a confirmation marker for possible DME. Strategy D used CST >290 µm OCT in all subjects as a surrogate marker for suspected DME. RESULTS: We recruited 2,277 subjects (mean age 62.80 ± 11.75 years, 43.7% male). The sensitivities and specificities were 40.95% and 86.60%, 22.86% and 95.63%, 32.38% and 100%, and 74.47% and 98.34% for strategies A, B, C, and D, respectively. The costs (in U.S. dollars) of each QALY gained for strategies A, B, C, and D were $7,447.50, $8,428.70, $5,992.30, and $4,113.50, respectively. CONCLUSIONS: The high false-positive rate of the current protocol generates unnecessary referrals, which are inconvenient for patients and costly for society. Incorporating universal OCT for screening DME can reduce false-positive results by eightfold, while improving sensitivity and long-term cost-effectiveness.

Assessment of nest building and social interaction behavior in mice exposed to acute social defeat stress using a three-dimensional depth camera.

Nest building is an instinctive behavior toward protection from predators, body temperature regulation, and courtship. Previously, we discovered that acute and chronic social defeat stress suppresses the onset of nest-building behavior in male mice (C57BL/6J). Here, we analyzed nest building and other behavioral deficits induced by acute social defeat stress (ASDS). We utilized a customized cage and specifically developed observational programs for nest building, social avoidance, and other behaviors using an infrared depth camera to acquire three-dimensional (3D) data of animal behavior (Negura system). We determined the volume of nesting materials from these 3D depth images. Mice exposed to ASDS showed increased spontaneous activities, decreased rearing, and delayed nest building; however, nest-building activity was gradually recovered during the dark period of the 24 hr observation interval. At the endpoint following 24 hr, the ASDS and control groups showed no differences in nest volumes. Furthermore, we observed the time courses of both nest building and social avoidance behaviors and their relationship using the Negura system. Our data demonstrated a weak positive correlation between nest-building delay and social avoidance in ASDS mice. The Negura system can observe various behaviors that reflect the effects of social defeat stress.

Remote monitoring of clubfoot treatment with digital photographs in low resource settings: Is it accurate?

BACKGROUND: Clinical examination and functional assessment are often the first steps to assess outcome of clubfoot treatment. Clinical photographs may be an adjunct used to assess treatment outcomes in lower resourced settings where physical review by a specialist is limited. We aimed to evaluate the diagnostic performance of photographic images of patients with clubfoot in assessing outcome following treatment. METHODS: In this single-centre diagnostic accuracy study, we included all children with clubfoot from a cohort treated between 2011 and 2013, in 2017. Two physiotherapists trained in clubfoot management calculated the Assessing Clubfoot Treatment (ACT) score for each child to decide if treatment was successful or if further treatment was required. Photographic images were then taken of 79 feet. Two blinded orthopaedic surgeons assessed three sets of images of each foot (n = 237 in total) at two time points (two months apart). Treatment for each foot was rated as 'success', 'borderline' or 'failure'. Intra- and inter-observer variation for the photographic image was assessed. Sensitivity, specificity, positive and negative predictive values were calculated for the photographic image compared to the ACT score. RESULTS: There was perfect correlation between clinical assessment and photographic evaluation of both raters at both time-points in 38 (48%) feet. The raters demonstrated acceptable reliability with re-scoring photographs (rater 1, k = 0.55; rater 2, k = 0.88). Thirty percent (n = 71) of photographs were assessed as poor quality image or sub-optimal patient position. Sensitivity of outcome with photograph compared to ACT score was 83.3%-88.3% and specificity ranged from 57.9%-73.3%. CONCLUSION: Digital photography may help to confirm, but not exclude, success of clubfoot treatment. Future work to establish photographic parameters as an adjunct to assessing treatment outcomes, and guidance on a standardised protocol for photographs, may be beneficial in the follow up of children who have treated clubfoot in isolated communities or lower resourced settings.