ABSTRACT
The purpose of this article is to report a rare case of isolated superior ophthalmic vein thrombosis. A 74-year-old female presented to the emergency department with a sudden onset of eye pain and bulging. Ophthalmological examination was remarkable for proptosis and ptosis with chemosis of the OS. Neuroimaging demonstrated an isolated superior ophthalmic vein thrombosis secondary to presumed thrombosis of the superior vein varix. Hypercoagulable, infectious, and autoimmune lab workups were unremarkable. The patient was initiated on anticoagulation with the eventual resolution of her symptoms. Isolated superior ophthalmic vein thrombosis is an uncommon diagnosis that requires urgent evaluation to prevent vision loss. Risk factors are multifactorial with infectious being the most common etiology. Our case is unique in that there was no identifiable risk factor.
ABSTRACT
We report 2 cases of pediatric ocular myasthenia gravis. The first case was a 7-year-old girl who presented with bilateral ophthalmoplegia and ptosis that correlated with the onset of upper respiratory symptoms. Neuroimaging and acetylcholine receptor antibody testing were unremarkable. The ice pack test was positive. Symptoms greatly improved with pyridostigmine, with full resolution of ophthalmoplegia achieved by 8-month follow-up. The second case was a 4-year-old girl who presented emergently with ptosis and bilateral ophthalmoplegia. Acetylcholine receptor antibodies testing was positive. The patient was started on pyridostigmine and intravenous immunoglobulin and is scheduled to follow-up with pediatric ophthalmology in the outpatient setting.
Subject(s)
Blepharoptosis , Myasthenia Gravis , Ophthalmoplegia , Female , Child , Humans , Child, Preschool , Pyridostigmine Bromide/therapeutic use , Myasthenia Gravis/complications , Myasthenia Gravis/diagnosis , Blepharoptosis/diagnosis , Blepharoptosis/etiology , Ophthalmoplegia/diagnosis , Ophthalmoplegia/etiology , Receptors, Cholinergic , AutoantibodiesABSTRACT
Assessing programmed death ligand 1 (PD-L1) expression on tumor cells (TCs) using Food and Drug Administration-approved, validated immunoassays can guide the use of immune checkpoint inhibitor (ICI) therapy in cancer treatment. However, substantial interobserver variability has been reported using these immunoassays. Artificial intelligence (AI) has the potential to accurately measure biomarker expression in tissue samples, but its reliability and comparability to standard manual scoring remain to be evaluated. This multinational study sought to compare the %TC scoring of PD-L1 expression in advanced urothelial carcinoma, assessed by either an AI Measurement Model (AIM-PD-L1) or expert pathologists. The concordance among pathologists and between pathologists and AIM-PD-L1 was determined. The positivity rate of ≥ 1%TC PD-L1 was between 20-30% for 8/10 pathologists, and the degree of agreement and scoring distribution for among pathologists and between pathologists and AIM-PD-L1 was similar both scored as a continuous variable or using the pre-defined cutoff. Numerically higher score variation was observed with the 22C3 assay than with the 28-8 assay. A 2-h training module on the 28-8 assay did not significantly impact manual assessment. Cases exhibiting significantly higher variability in the assessment of PD-L1 expression (mean absolute deviation > 10) were found to have patterns of PD-L1 staining that were more challenging to interpret. An improved understanding of sources of manual scoring variability can be applied to PD-L1 expression analysis in the clinical setting. In the future, the application of AI algorithms could serve as a valuable reference guide for pathologists while scoring PD-L1.