Intraocular inflammation can hide a variety of eye pathologies. In 33% of cases, to obtain a correct diagnosis, investigation of the intraocular sample is necessary. The combined analyses of the intraocular biopsy, using immuno-pathology and molecular biology, point to resolve the diagnostic dilemmas in those cases where history, clinical tests, and ophthalmic and systemic examinations are inconclusive. In such situations, the teamwork between the ophthalmologist and the molecular pathologist is critically important to discriminate between autoimmune diseases, infections, and intraocular tumors, including lymphoma and metastases, especially in those clinical settings known as masquerade syndromes. This comprehensive review focuses on the diagnostic use of intraocular biopsy and highlights its potential to enhance research in the field. It describes the different surgical techniques of obtaining the biopsy, risks, and complication rates. The review is organized according to the anatomical site of the sample: I. anterior chamber containing aqueous humor, II. iris and ciliary body, III. vitreous, and IV. choroid and retina. We have excluded the literature concerning biopsy for choroidal melanoma and retinoblastoma, as this is a specialized area more relevant to ocular oncology.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832563PMC
http://dx.doi.org/10.3390/jcm8101733DOI Listing

Publication Analysis

Top Keywords

intraocular biopsy
12
intraocular
7
biopsy immunomolecular
4
immunomolecular pathology
4
pathology "unmasking"
4
"unmasking" intraocular
4
intraocular inflammatory
4
inflammatory diseases
4
diseases intraocular
4
intraocular inflammation
4

Similar Publications

Purpose: Reports of gene therapy-associated retinal atrophies and inflammation have highlighted the importance of preclinical safety assessments of adeno-associated virus (AAV) vector systems. We evaluated in nonhuman primates (NHPs) the ocular safety and toxicology of a novel AAV gene therapy targeting retinitis pigmentosa caused by mutations in PDE6A, which has since been used in a phase I/II clinical trial (NCT04611503).

Methods: A total of 34 healthy cynomolgus animals (Macaca fascicularis) were treated with subretinal injections of rAAV.

View Article and Find Full Text PDF

A 65-year-old male patient presented to eye outpatient department of a zonal hospital in North Eastern India with complaints of diminution of vision for 1-year duration. On ocular examination, his unaided visual acuity was 6/36 right eye and 6/12 left eye. He was diagnosed as a case of immature senile cataract with nuclear sclerosis grade 2+ in the right eye and immature senile cataract with nuclear sclerosis grade 1+ in the left eye, with no other ocular or systemic findings.

View Article and Find Full Text PDF

Background: To compare structural and vascular parameters between advanced pseudoexfoliation glaucoma (PXG) and primary open-angle glaucoma (POAG).

Methods: One hundred and six eyes of 81 patients were enrolled in this cross-sectional study. All patients underwent complete ophthalmic examination and measurement of the thickness of the peripapillary retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC).

View Article and Find Full Text PDF

Objective: Ciliary body medulloepithelioma (CBME), a pediatric intraocular tumor with potential for locally aggressive behavior and metastasis, may present with a diverse spectrum of clinical and histopathologic features leading to diagnostic and management challenges. Examination of unusual CBME cases highlights challenges and modern diagnostic techniques which facilitate accurate diagnosis and guide management.

Methods: A retrospective clinicopathologic analysis of 6 patients with unusual clinical or pathologic features of CBME was performed.

View Article and Find Full Text PDF

Background: Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. The median overall survival time for patients who develop metastasis is approximately one year. In this study, we aim to leverage deep learning (DL) techniques to analyze digital cytopathology images and directly predict the 48 month survival status on a patient level.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!