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Evaluation of lymphatic vessel dilatations by anterior segment swept-source optical coherence tomography: case report

Overview of attention for article published in BMC Ophthalmology, October 2017
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Title
Evaluation of lymphatic vessel dilatations by anterior segment swept-source optical coherence tomography: case report
Published in
BMC Ophthalmology, October 2017
DOI 10.1186/s12886-017-0588-y
Pubmed ID
Authors

Eva Volek, Jeannette Toth, Zoltan Zsolt Nagy, Miklos Schneider

Abstract

Conjunctival lymphangiectasia is a rare condition presumably caused by the obstruction of lymphatic channels or by an abnormal connection between conjunctival lymphatic and blood vessels. Diagnosis is based on clinical appearance and histology. We report a case of conjunctival lymphangiectasia in which anterior segment optical coherence tomography (OCT) was used to assist the diagnosis and the planning of the biopsy location. A 31-year-old woman was referred with repeated episodes of conjunctival "hemorrhages" and chemosis with extended recovery periods over the last months. Other symptoms were dryness, redness, burning sensation and itching. Photo documentation, anterior segment OCT, ultrasound, computer tomography (CT) and magnetic resonance imaging (MRI) of the brain were performed. MRI revealed dilated atypical Virchow-Robin space (VRS). Conjunctival biopsy was taken and the location of the biopsy was selected based on OCT findings. Based on the clinical appearance we suspected the case to be conjunctival lymphangiectasia or lymphangioma. Histology and immunhistochemistry confirmed the diagnosis of conjunctival lymphangiectasia. Anterior segment OCT is a non-invasive tool, useful in the evaluation of conjunctival lesions and planning surgery.

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Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Researcher 2 17%
Lecturer > Senior Lecturer 1 8%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Other 3 25%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 6 50%
Nursing and Health Professions 2 17%
Neuroscience 2 17%
Agricultural and Biological Sciences 1 8%
Unknown 1 8%