Eye Update
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Update on Optical Coherence Tomography (OCT)

 

OCT is currently the most exciting and high-profile technology available.  Every journal we have seen over the past year has had at least one article on the OCT.  While the HRT and GDx-VCC devices can be helpful adjunctive technologies in the comprehensive glaucoma evaluation, the OCT (originally developed  to assess macular disease) also has an excellent software program that enables state-of-the-art glaucoma assessment.  Note that we did not use the term, “glaucoma diagnosis” here as it is the physician - not an instrument - that diagnoses.  The OCT can properly be viewed as a “glaucoma-PLUS” technology.  While more expensive than the HRT or GDx-VCC, the OCT has much broader clinical utility. If cost-feasible for your individual practice, we urge you to investigate acquisition of the OCT. Should the cost of the OCT be cost-prohibitive at this time, then by all means acquire the GDx-VCC to enhance your abilities to assess glaucoma risk.  Remember that misdiagnosis of glaucoma is a common cause of lawsuits.

Optical Coherence Tomography is a non-invasive technology which provides high-resolution (10-15 micron) cross-sectional and topographic images of the retinal and optic nerve tissues.  These images are truly incredible in their detail, and reveal even the most subtle tissue alterations.  The OCT reigns supreme in the evaluation of macular edema and macular holes as well, and can be extremely helpful in the diagnosis of a wide variety of retinomacular diseases.   Anecdotally, the OCT reportedly has roughly halved the number of intravenous fluorescein angiographies in clinical settings where both options are available.  The OCT can enhance patient care by decreasing referrals for angiograms and thereby allows state-of-the-art disease management in the primary eyecare office.

For those of you currently using the OCT for glaucoma quantification, there are two journal articles in the January, 2005 Ophthalmology which show the following:

“The OCT optic nerve head parameters (rim area, horizontal integrated rim width - HIRW, and vertical integrated rim area - VIRA) and peripapillary nerve fiber layer thickness provided the best discrimination between normal and glaucomatous eyes.  Macular parameters were considerably less useful. “ 1 

“The analysis of stratus OCT software-provided parameters showed that parapapillary retinal nerve fiber layer (RNFL) measures and optic nerve head (ONH) topographic parameters had the highest power to discriminate glaucomatous from healthy eyes.”  Of the ONH parameters, “xthe cup/disk area ratio had the highest sensitivity with specificity set at 95%x”  “xthe combination of an ONH parameter (cup/disk area ratio) with RNFL thickness parameters resulted in the highest discriminant function for glaucoma detection in our study.” 2  As in the first referenced study above, these researchers also found that “xmacular thickness parametersxhad at most a weak influence on the discrimination between glaucomatous and healthy eyes.”2

M & T Commentary:
It is nice to see such close agreement between two similar studies, and to have keener guidance as to which data best helps us in our clinical assessments.  If you have not yet acquired a GDx-VCC or Stratus OCT-3, we strongly encourage you to investigate these amazing technologies.  Both are available from Carl Zeiss Meditec (www.meditec.zeiss.com).

1.  Wollstein, G., et al. “Comparison of Three Optical Coherence Tomography Scanning Areas for Detection of Glaucomatous Damage.”  Ophthalmology, January 2005.

2.  Medeiros, F.A. “Evaluation of Retinal Nerve Fiber Layer, Optic Nerve Head, and Macular Thickness Measurements for Glaucoma Detection Using Optical Coherence Tomography.” Ophthalmology, January 2005.

FOR OCT OWNERS:  There is also an excellent article entitled, “Evaluation of Image Artifact Produced by Optical Coherence Technology,“ by Ray, R., et al. that appears in the January, 2005 issue of Ophthalmology.   This article gives a nice overview on ways to distinguish disease processes from image artifact.

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