Rationale and Development of an OCT-Based Method for Detection of Glaucomatous Optic Neuropathy

Jeffrey M. Liebmann, Donald C. Hood, Carlos Gustavo De Moraes, Dana M. Blumberg, Noga Harizman, Yocheved S. Kresch, Emmanouil Tsamis, George A. Cioffi

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


A specific, sensitive, and intersubjectively verifiable definition of disease for clinical care and research remains an important unmet need in the field of glaucoma. Using an iterative, consensus-building approach and employing pilot data, an optical coherence tomography (OCT)-based method to aid in the detection of glaucomatous optic neuropathy was sought to address this challenge. To maximize the chance of success, we utilized all available information from the OCT circle and cube scans, applied both quantitative and semiquantitative data analysis methods, and aimed to limit the use of perimetry to cases where it is absolutely necessary. The outcome of this approach was an OCT-based method for the diagnosis of glaucomatous optic neuropathy that did not require the use of perimetry for initial diagnosis. A decision tree was devised for testing and implementation in clinical practice and research that can be used by reading centers, researchers, and clinicians. While initial pilot data were encouraging, future testing and validation will be needed to establish its utility in clinical practice, as well as for research.

Original languageEnglish
Pages (from-to)375-381
Number of pages7
JournalJournal of Glaucoma
Issue number6
StatePublished - 1 Jun 2022
Externally publishedYes


  • diagnosis decision tree
  • glaucoma diagnosis
  • optical coherence tomography


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