Two patients with perfluorocarbon liquid (PFCL) trapped under the fovea after vitreoretinal surgery for repair of rhegmatogenous retinal detachment were reported. PFCL was used to flatten the retina intraoperatively. Postoperatively, a bubble of PFCL was trapped under the fovea and was removed surgically in both patients. Three-dimensional and orthogonal optical coherence tomography (OCT) features in both cases are reported. Three-dimensional OCT features in our two cases were retinal pigment epithelium (RPE) pigment disorganization, disruption of both external limiting membrane backreflection line and reflectivity of the photoreceptor inner and outer segment junction, and hyperreflectivity at the base of the PFCL bubble corresponding to the zone of interface of PFCL and damaged RPE. Trapped subfoveal PFCL should be removed surgically as soon as possible to prevent structural retinal damage. Spectral domain OCT is a useful tool to demonstrate subclinical structural damage of the neurosensory retina and RPE.
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http://dx.doi.org/10.3928/15428877-20100215-98 | DOI Listing |
Psychiatr Clin North Am
March 2025
Kennedy Krieger Institute, Department of Child Psychiatry, 707 North Broadway, Baltimore, MD 21205, USA; Johns Hopkins School of Medicine, Department of Child and Adolescent Psychiatry, 600 North Wolfe Street, Baltimore, MD 21205, USA.
Functional tic-like behaviors (FTLBs) are a manifestation of functional neurologic disorder that can be mistaken for neurodevelopmental tic disorders like Tourette syndrome. Much information was gained about FTLBs because of an outbreak of FTLBs spreading among adolescents and young adults via social media during the coronavirus disease 2019 pandemic. In comparison to neurodevelopmental tic disorders, FTLBs have an older age of onset, more abrupt symptom onset, and more complex tics as well as other features that would be atypical of Tourette syndrome.
View Article and Find Full Text PDFJ Comput Graph Stat
October 2023
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.
Mixture Markov Model (MMM) is a widely used tool to cluster sequences of events coming from a finite state-space. However, the MMM likelihood being multi-modal, the challenge remains in its maximization. Although Expectation-Maximization (EM) algorithm remains one of the most popular ways to estimate the MMM parameters, however, convergence of EM algorithm is not always guaranteed.
View Article and Find Full Text PDFActa Naturae
January 2024
Pluripotency Dynamics Group, Institute of Cytology, Russian Academy of Sciences, St. Petersburg, 194064 Russian Federation.
Embryonic stem cells (ESCs) hold great promise for regenerative medicine thanks to their ability to self-renew and differentiate into somatic cells and the germline. ESCs correspond to pluripotent epiblast - the tissue from which the following three germ layers originate during embryonic gastrulation: the ectoderm, mesoderm, and endoderm. Importantly, ESCs can be induced to differentiate toward various cell types by varying culture conditions, which can be exploited for modeling of developmental processes such as gastrulation.
View Article and Find Full Text PDFActa Naturae
January 2024
Novosibirsk State University, Novosibirsk, 630090 Russian Federation.
The gradually increasing age of the world population implies that the prevalence of neurodegenerative diseases also continues to rise. These diseases are characterized by a progressive loss of cognitive and motor functions. Parkinson's disease, which involves the gradual death of specialized neural tissue, is a striking example of a neurodegenerative process.
View Article and Find Full Text PDFJ Hand Microsurg
January 2025
Department of Orthopaedic Surgery, University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
Background: Trigger finger is a common disorder of the hand characterized by pain and locking of the digits during flexion or extension. In cases refractory to nonoperative management, surgical release of the A1 pulley can be performed. This study evaluates the ability of machine learning (ML) techniques to predict short-term complications following trigger digit release surgery.
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