Assessing the diagnostic capability of the macular ganglion cell complex and retinal fiber layer thickness in glaucoma patients.

Tripti Thakur, Nishita Yadav, Nazia Imam, Ali M S

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Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Tripti ThakurDepartment of Regional Institute of Ophthalmology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.

Nishita YadavDepartment of Regional Institute of Ophthalmology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.

Nazia ImamDepartment of Regional Institute of Ophthalmology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.

Ali M SDepartment of Regional Institute of Ophthalmology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic value of macular ganglion cell complex (GCC) and retinal nerve fibre layer (RNFL) thickness in glaucoma is of interest. Using OCT imaging, 90 subjects (45 glaucoma and 45 controls) were studied and the thickness of RNFL and GCC was evaluated. The RNFL was significantly lower in glaucoma patients (71.3 ± 6.5 µm) compared to controls (95.2 ± 5.9 µm, p< 0.001) and so was GCC thickness (72.1 ± 7.3 µm versus 90.6 ± 6.8 µm in controls, p< 0.001). The diagnostic accuracy of RNFL (AUC 0.89) was a bit higher than GCC (AUC 0.87). Combined evaluation enhanced the sensitivity of early glaucoma detection, as well as specificity.

Indexed as

diagnostic accuracyganglion cell complexGlaucomaoptical coherence tomographyretinal nerve fiber layerstructural biomarkers

Identifiers

PMID41393457

DOI10.6026/973206300212570

PMCPMC12697514

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.