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   Table of Contents      
SYMPOSIUM: KERATOCONUS
Year : 2013  |  Volume : 61  |  Issue : 8  |  Page : 401-406

Scheimpflug imaging for keratoconus and ectatic disease


1 Southern Arizona VA Healthcare System, University of Arizona, Tucson, Arizona, USA
2 Department for Ophthalmology of the Federal University, Sao Paulo, Instituto de Olhos Renato Ambrósio, Rio de Janeiro, Brazil

Date of Submission01-Jul-2013
Date of Acceptance08-Jul-2013
Date of Web Publication3-Aug-2013

Correspondence Address:
Michael W Belin
Southern Arizona VA Healthcare System, University of Arizona, 4232 West Summer Ranch Place, Marana, Arizona 85658-4741
USA
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0301-4738.116059

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  Abstract 

Scheimpflug cross-sectioning anterior segment imaging offers significant advantages over traditional placido based curvature analysis and ultrasound pachymetry. The accurate measurement of both the anterior and posterior corneal surfaces and the anterior and posterior lens allows for the creation of a three-dimensional reconstruction of the anterior segment. Changes on both the posterior cornea and/or corneal thickness map are earlier indicators of ectatic change than would otherwise be identifiable with only anterior curvature and ultrasonic pachymetry. Scheimpflug imaging also covers significantly more of the cornea than was possible with placido based devices. This added coverage is critical in the proper diagnosis of peripheral diseases such as pellucid marginal degeneration (PMD).

Keywords: Ectatic disease, keratoconus, scheimpflug imaging


How to cite this article:
Belin MW, Ambrósio R. Scheimpflug imaging for keratoconus and ectatic disease. Indian J Ophthalmol 2013;61:401-6

How to cite this URL:
Belin MW, Ambrósio R. Scheimpflug imaging for keratoconus and ectatic disease. Indian J Ophthalmol [serial online] 2013 [cited 2019 Oct 19];61:401-6. Available from: http://www.ijo.in/text.asp?2013/61/8/401/116059

The last decade has seen a dramatic change in the diagnosis and early identification of keratoconus and other ectatic disorders. As in other subspecialty areas in ophthalmology, imaging techniques have played a large part in this change. Current corneal imaging modalities (e.g., Scheimpflug, optical coherence tomography (OCT)) offer significantly more information than were previously available with placido based anterior corneal analysis. This new tomographic information not only allows for earlier identification of disease but has altered our perception of what constitutes keratoconus, and improves the specificity to exclude false positive cases with suspicious corneal front surface curvature maps.

In the past, the two most commonly used "screening" tools were ultrasonic central pachymetry and placido based computerized videokeratoscopy (topography). The diagnosis and grading of keratoconus were commonly based on these parameters, as with the Amsler-Krumeich classification [Table 1].
Table 1: Amsler-Krumeich keratoconus classification


Click here to view
[1]

Central corneal thickness measurements, keratometric readings, and the degree of myopia were used to both diagnose and stage the severity of disease. Visual loss most closely follows changes on the anterior surface and most treatment regimens, such as contact lenses and penetrating keratoplasty, were based on the loss of best spectacle corrected vision. In other words, the Amsler-Krumeich grading system utilized easily measured parameters and the staging followed closely the treatment decision tree.

The advent of corneal refractive surgery and more recently corneal collagen crosslinking, as well as the availability of better imaging systems, revealed the limitations of both diagnosing and treating keratoconus based solely on central corneal thickness and anterior curvature analysis. [2],[3],[4] Refractive surgery puts physical demands on the cornea (removing tissue) necessitating the need to identify those corneas potentially at risk for ectatic change. Collagen cross-linking aims to stabilize early disease and potentially prevent visual loss, dictating that ectatic change is identified prior to significant alterations of the anterior corneal surface.

Ultrasonic central pachymetry only measured one point on the cornea, which typically was not the thinnest point, and did not reflect the overall thickness profile of the cornea. [5] Similarly, videokeratoscopes were limited to measuring only about 50-60% of the anterior cornea and conveyed no information about the corneal periphery and the posterior corneal surface. [6]

A number of newer imaging techniques evolved (e.g., optical cross-sectioning, Scheimpflug photography, OCT) that allowed measurements of both the anterior and posterior cornea, corneal thickness maps, and also provided greater corneal coverage than possible with videokeratoscopes. [7],[8],[9] Of these, rotating Scheimpflug photography currently provides the most useful information for diagnosing early ectatic change. It is also a technique that is rapid and easy to perform, which would be a requisite for use as a screening tool.

Full corneal thickness maps provide a wealth of additional information that was not possible with ultrasonic pachymetry. Scheimpflug derived corneal thickness maps identify the location and magnitude of the thinnest point on the cornea. In a previously published study, differences between the apical readings and thinnest point readings can approach 100 μm in eyes that were previously viewed as "normal" by ultrasonic pachymetry and anterior, placido derived curvature analysis [Table 2]. [10]
Table 2: Pachymetry in microns (μm)


Click here to view


In addition to measuring and locating the true thinnest point, a full thickness map allows one to look at the pachymetric progression or the rate of change in corneal thickness. A single thickness reading is very limited in determining what is normal, in the same way it would be nearly impossible to determine whether an 80 kg individual is normal without knowing the height of the individual. A 4'10" 80 kg individual would be obese, while a 6'4" individual would be gaunt. Similarly, two corneas can have the same central corneal thickness but share dramatically different pachymetric progressions. Abnormal corneas (i.e., corneas showing ectatic change or tendency) have a more rapid thinning from the corneal periphery to the thinnest point. [11] As seen in the example below [Figure 1], both corneas have the same central thickness value, but the cornea on the left has a normal progression from the thinnest point to the periphery (i.e., corneal is normal), while the corneal on the right shows a highly abnormal progression with a much higher rate of change. This more rapid rate of pachymetric progression, when seen in a preoperative cornea, is highly suggestive of ectatic change.
Figure 1: Pachymetric progression graphs. The cornea on the left shows a normal progression in thickness from the thinnest point to the periphery, while the cornea on the right, while having the same central thickness, shows a more rapid (abnormal) rate of change

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The other major benefit of newer imaging techniques is the measurement of the posterior corneal surface. Because the posterior surface contributes minimally to the overall refractive power of the eye (due to the minimal difference between the index of refraction of the cornea and aqueous) it was considered less important both diagnostically and therapeutically. Additionally, videokeratoscopes, being a reflective technology, were incapable on measuring anything below the anterior tear film. The posterior cornea, however, is an earlier indicator of ectatic change or ectasia susceptibility and when combined with full pachymetric data serves as a more sensitive screening tool then anterior topography and ultrasound pachymetry combined. [11]

Abnormalities on the posterior cornea can be seen prior to any topographic change on the anterior surface and may be the earliest indicator of ectatic change. Patients with normal placido and ultrasound screening can be seen with highly abnormal posterior corneas often with associated abnormalities in the corneal thickness maps. [12] In the examples below [Figure 2] and [Figure 3], the sagittal curvature map is unremarkable and the central ultrasound pachymetry was within normal limits, but the corneas exhibit significant posterior ectatic change and an abnormal corneal thickness map. These findings represent the early changes seen in keratoconus.
Figure 2: Four map composite display (sagittal curvature, anterior and posterior elevation, and corneal thickness). This cornea shows a significant positive island of elevation (ectasia) on the posterior cornea (right lower map) in spite of a normal anterior surface (upper right and left map)

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Figure 3: Four map composite display (sagittal curvature, anterior and posterior elevation, and corneal thickness). This cornea shows a significant positive island of elevation (ectasia) on the posterior cornea (right lower map) in spite of a normal anterior surface (upper right and left map). In this example, the posterior ectasia is significant enough to cause a displacement of the corneal thinnest point (lower left)

Click here to view


A comprehensive refractive screening display (Belin/Ambrosio Enhanced Ectasia Display III- (BAD III)) is currently offered on the Pentacam (OCULUS GmbH, Wetzlar, Germany) that combines nine different tomographic parameters in a unified screening tool. Currently, the display uses the following parameters in a regression analysis to assist the refractive surgeon in identifying patients potentially at risk for ectatic change:

  • Anterior elevation at the thinnest point
  • Posterior elevation at the thinnest point
  • Change in anterior elevation
  • Change in posterior elevaton
  • Corneal thickness at thinnest point
  • Location of thinnest point
  • Pachymetric progression
  • Ambrósio relational thickness
  • Kmax


The BAD III displays each parameter and individually reports them as a standard deviation and then reports a final overall reading that is based on a regression analysis to maximize the separation of normal corneas from those with keratoconus. In the example below [Figure 4], one can see individual abnormalities in both the corneal thickness parameters and on the posterior corneal surface, while the anterior surface parameters remain within normal limits. The combined reading based on the regression analysis of all nine parameters is highly abnormal and diagnostic of subclinical keratoconus, in spite of a normal anterior surface.
Figure 4: Belin/Ambrosio enhanced ectasia display. The display shows abnormalities in all major parameters except those for the anterior corneal surface. Because the anterior surface is still within normal limits, the patient would have good spectacle vision in the presence of (subclinical) keratoconus

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[Figure 5] depicts a case of keratoconus where all nine parameters are abnormal. The final overall reading is over 8 standard deviations from the norm, which represents moderate to advanced ectatic change. The Amsler-Krumeich grading system, however, would just barely classify this cornea into stage II.
Figure 5: Belin/Ambrosio enhanced ectasia display. The display depicts a case of moderately advance keratoconus where all the analyzed parameters (anterior and posterior elevation, Kmax, and pachymetric parameters) are highly abnormal

Click here to view


Another area where Scheimpflug imaging has demonstrated significant advantages over anterior curvature analysis is in the accurate diagnosis of pellucid marginal degeneration (PMD). The vast majority of reported cases of PMD are just inferior keatoconus where the sagittal curvature map exaggerates the displacement of the cone [Figure 6]. [13] These eyes do not show the classic band of inferior thinning that is best depicted by a full coverage corneal thickness map [Figure 7]. [14] As the surgical treatment of true PMD differs from keratoconus, the accurate diagnosis has therapeutic implications.
Figure 6: Composite map showing anterior curvature upper left, corneal thickness lower left, anterior elevation upper right, and posterior elevation lower right. The axial curvature map incorrectly locates the "cone" near the periphery, while both the elevation maps and pachymetric map correctly reveals this as a case of inferior keratoconus

Click here to view
Figure 7: Corneal thickness map of a true case of pellucid marginal degeneration. The pachymetric map opened up to a full 12 mm view is the best map to differentiate true pellucid from inferior keratoconus, as true pellucid will show a clear band of corneal thinning near the inferior limbus

Click here to view



  Conclusion Top


Comprehensive corneal analysis used for preoperative refractive screening includes information from the posterior cornea and full pachymetric data. This added information improves the ability of the refractive surgeon to screen patients for occult ectatic disease or to identify patients potentially at higher risk for post laser-assisted in situ keratomileusis (LASIK) ectasia. Rotating Scheimpflug cross-sectional analysis meets the criterion for a successful screening tool in that in not only provides the necessary data, but does so in a manner that does not interrupt patient flow nor require skills beyond those of most ophthalmic technicians.

 
  References Top

1.
Alio JL, Shabeyek MH. Corneal higher order aberrations: A method to grade keratoconus. J Refract Surg 2006;22:539-45.  Back to cited text no. 1
    
2.
Li Y, Meisler DM, Tang M, Lu AT, Thakrar V, Reiser BJ, et al. Keratoconus diagnosis with optical coherence tomography pachymetry mapping. Ophthalmology 2008;115:2159-66.  Back to cited text no. 2
[PUBMED]    
3.
Greenstein SA, Shah VP, Fry KL, Hersh PS. Corneal thickness changes after corneal collagen crosslinking for keratoconus and corneal ectasia: One-year results. J Cataract Refract Surg 2011;37:691-700.  Back to cited text no. 3
[PUBMED]    
4.
Ciolino JB, Khachikian SS, Belin MW. Comparison of corneal thickness measurements by ultrasound and scheimpflug photography in eyes that have undergone laser in situ keratomileusis. Am J Ophthalmol 2008;145:75-80.  Back to cited text no. 4
[PUBMED]    
5.
Belin MW, Khachikian SS. New devices and clinical implications for measuring corneal thickness. Clin Experiment Ophthalmol 2006;34:729-31.  Back to cited text no. 5
[PUBMED]    
6.
Belin MW, Ratliff CD. Evaluating data acquisition and smoothing functions of currently available videokeratoscopes. J Cataract Refract Surg 1996;22:421-6.  Back to cited text no. 6
[PUBMED]    
7.
Kim SW, Sun HJ, Chang JH, Kim EK. Anterior segment measurements using pentacam and orbscan II 1 to 5 years after refractive surgery. J Refract Surg 2009;25:1091-7.  Back to cited text no. 7
[PUBMED]    
8.
Yazici AT, Bozkurt E, Alagoz C, Alagoz N, Pekel G, Kaya V, et al. Central corneal thickness, anterior chamber depth, and pupil diameter measurements using visante OCT, orbscan, and pentacam. J Refract Surg 2010;26:127-33.  Back to cited text no. 8
[PUBMED]    
9.
Belin MW, Khachikian SS. Corneal diagnosis and evaluation with the OCULUS pentacam. Highlights Ophthalmol 2007;35:5-7.  Back to cited text no. 9
    
10.
Khachikian SS, Belin MW, Ciiolino JB. Intrasubject corneal thickness asymmetry. J Refract Surg 2008;24:606-9.  Back to cited text no. 10
    
11.
Ambrosio R Jr, Caiado AL, Guerra FP, Lousada R, Roy AS, Luz A, et al. Novel pachymetric parameters based on corneal tomography for diagnosing keratoconus. J Refract Surg 2011;27:753-8.  Back to cited text no. 11
    
12.
Ambrosio R Jr, Dawson DG, Salomao M, Guerra FP, Caiado AL, Belin MW. Corneal ectasia after LASIK despite low risk: Tomographic and biomechanical findings on the unoperated stable fellow eye. J Refract Surg 2010;26:906-11.  Back to cited text no. 12
    
13.
Belin MW, Asota IM, Ambrosio R Jr, Khachikian SS. What's in a name: Keratoconus, pellucid marginal degeneration and related thinning disorders. Am J Ophthalmol 2011;152:157-62.e1.  Back to cited text no. 13
    
14.
Walker RN, Khackikian SS, Belin MW. Scheimpflug photographic diagnosis of pellucid margainal degeneration. Cornea 2008;27:963-6.  Back to cited text no. 14
    


    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6], [Figure 7]
 
 
    Tables

  [Table 1], [Table 2]


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