Optical Coherence Tomographic Findings in Berlin’s Edema

Purpose: To describe optical coherence tomography (OCT) findings in a patient with Berlin′s edema following blunt ocular trauma. Case Report: A 26-year-old man presented with acute loss of vision in his left eye following blunt trauma. He underwent a complete ophthalmologic examination and OCT. Fundus examination revealed abnormal yellow discoloration in the macula. OCT disclosed thickening of outer retinal structures and increased reflectivity in the area of photoreceptor outer segments with preservation of inner retinal architecture. Re-examination was conducted one month later at the time which OCT changes resolved leading to a surprisingly normal appearance. Conclusion: OCT can be a useful tool in the diagnosis and follow-up of eyes with Berlin′s edema and may reveal ultrastructural macular changes

Bevacizumab Injection in Patients with Age-Related Macular Degeneration Associated with Poor Initial Visual Acuity

Purpose. To evaluate functional and anatomic effects of intravitreal bevacizumab in patients with neovascular AMD and initial low visual acuity. Methods. Retrospective case series of 38 eyes with neovascular AMD and initial visual acuity of 20/200 or less, treated with intravitreal bevacizumab injection. Results. Mean followup was 14.1 months ±  7.1 (range: 5 to 24 months). Mean logMAR vision at baseline was 1.38 logMAR ±  0.33, at 6 months was 1.14 logMAR ±  0.37 (P = 0.001) and at 12 months was 1.22 logMar ±  0.33 (P = 0.004). Mean baseline central retinal thickness was 431 μm ±  159.7 at 6 months was 293.43 μm  ±  122.79 (P = 10−4) and at 12 months was 293.1 μm  ±  130 (P = 0.004). Visual acuity improved in both patients with or without prior PDT treatment. Conclusions. Intravitreal bevacizumab injection may increase the chance of visual acuity gain in neovascular AMD even in cases with initial low visual acuity

Simulating Future Urban Expansion in Monastir, Tunisia, as an Input for the Development of Future Risk Scenarios

Under scenarios of urbanization coupled with increasing frequency and intensity of natural hazards, urban disaster risk is set to rise. Simulating future urban expansion can provide relevant information for the development of future exposure scenarios and the identification of targeted risk reduction and adaptation strategies. Here, we present an urban growth simulation for the coastal city of Monastir, Tunisia. The approach integrates local knowledge and a data-driven urban growth model to simulate urban sprawl up to 2030. A business-as-usual projection is used to predict the future growth of the city based on the historical trend. Thirteen Landsat images for the period 1975 to 2017 were used to delineate past changes in urban land cover following the European Urban Atlas standard, which served as the main input for the urban growth model. The simulation revealed that the city’s residential area is likely to grow by 127 ha to an overall size of 1,690 ha by 2030, corresponding to an increase of 8.1% compared to the urban footprint of 2017. The outcomes of the analysis presented here served as an input for the spatial simulation of future exposure to flash floods in the case study area

Phenotype in Two Consanguineous Tunisian Families With non Syndromic Autosomic Recessive Retinitis Pigmentosa Caused by an USH2A Mutation

Purpose: To assess the clinical phenotype in two consanguineous Tunisian families with non syndromic autosomic recessive retinitis Pigmentosa (arRP) caused by an USH2A mutation.Methods: All accessible members of family A and B were included and underwent full ophthalmic examination with best corrected Snellen visual acuity, kinetic visual field testing, fundus photography, optical coherence tomography and full field electroretinography. Haplotype analyses were used to test linkage in the families to 20 arRP loci, including ABCA4, LRAT, USH2A, RP29, CERKL, CNGA1, CNGB1, CRB1, EYS, RP28, MERTK, NR2E3, PDE6A, PDE6B, RGR, RHO, RLBP1, TULP1. In addition, index patients were sent to AsperOphthalmics for arRP mutation screening.Results: Twenty three patients from the two families were ascertained for the study. Eight of the 23 members were clinically affected with arRP without hearing loss. Age range at baseline was 35 to 63 years (mean age was 46.5 years). For all affected members, night blindness appeared during the second decade. Visual acuity at baseline ranged from 20/50 to 20/32. Kinetic visual field was severely constricted. Fundus examination revealed typical RP changes with bone spicule-shaped pigment deposits in the mid periphery along with atrophy of the retina, narrowing of the vessels and waxy optic discs. Tomograms showed a thinning and even loss the outer nuclear layer of the fovea. ERG was unrecordable in scotopic conditions and the cone responses were markedly hypovolted. Haplotype analysis did not reveal any homozygosity. Screening at AsperOphthalmis showed a compound heterozygous [p.A1953G]+[p.I5126T] in family A and [p.G713R]+[p.W4149R] in family B.Conclusions: For these families, changes were typical of those that have been described in patients with moderate to severe forms of non syndromic recessive RP. Our findings support the need to consider possible involvement of USH2A not only in patients with Usher syndrome but also in patients with non syndromc arRP. Despite consanguinity, the presence of non-homozygous mutants illustrates the complexity of molecular analysis

Integrating Data-Driven and Participatory Modeling to Simulate Future Urban Growth Scenarios: Findings from Monastir, Tunisia

Current rapid urbanization trends in developing countries present considerable challenges to local governments, potentially hindering efforts towards sustainable urban development. To effectively anticipate the challenges posed by urbanization, participatory modeling techniques can help to stimulate future-oriented decision-making by exploring alternative development scenarios. With the example of the coastal city of Monastir, we present the results of an integrated urban growth analysis that combines the SLEUTH (slope, land use, exclusion, urban extent, transportation, and hill shade) cellular automata model with qualitative inputs from relevant local stakeholders to simulate urban growth until 2030. While historical time-series of Landsat data fed a business-as-usual prediction, the quantification of narrative storylines derived from participatory scenario workshops enabled the creation of four additional urban growth scenarios. Results show that the growth of the city will occur at different rates under all scenarios. Both the “business-as-usual” (BaU) prediction and the four scenarios revealed that urban expansion is expected to further encroach on agricultural land by 2030. The various scenarios suggest that Monastir will expand between 127–149 hectares. The information provided here goes beyond simply projecting past trends, giving decision-makers the necessary support for both understanding possible future urban expansion pathways and proactively managing the future growth of the city