Tomografia (OCT) no Ceratocone

 
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Uso de tomografia de coerência óptica na análise quantitativa dos parâmetros irianos em pacientes com ceratocone
 
ABSTRACT Purpose: To investigate the relationship between quantitative iris parameters and the presence of keratoconus.
Methods: Cross-sectional observational study that included 15 affected eyes of 15 patients with keratoconus and 26 eyes of 26 normal age- and sex-matched controls. Iris parameters (area, thickness, and pupil diameter) of affected and unaffected eyes were measured under standardized light and dark conditions using anterior segment optical coherence tomography (AS-OCT). To identify optimal iris thickness cutoff points to maximize the sensitivity and specificity when discriminating keratoconus eyes from normal eyes, the analysis included the use of receiver operating characteristic (ROC) curves.
Results: Iris thickness and area were lower in keratoconus eyes than in normal eyes. The mean thickness at the pupillary margin under both light and dark conditions was found to be the best parameter for discriminating normal patients from keratoconus patients. Diagnostic performance was assessed by the area under the ROC curve (AROC), which had a value of 0.8256 with 80.0% sensitivity and 84.6% specificity, using a cutoff of 0.4125 mm. The sensitivity increased to 86.7% when a cutoff of 0.4700 mm was used.
Conclusions: In our sample, iris thickness was lower in keratoconus eyes than in normal eyes. These results suggest that tomographic parameters may provide novel adjunct approaches for keratoconus screening.
 
RESUMO Objetivo: Investigar a relação entre os parâmetros quantitativos irianos e a presença de ceratocone.
Métodos: Estudo observacional transversal com quinze olhos de 15 pacientes com ceratocone e 26 olhos de 26 indivíduos normais, pareados por idade e gênero. Parâ- metros da íris (área, espessura e diâmetro da pupila) de olhos com ceratocone e olhos sem ceratocone foram medidos usando tomografia de coerência óptica do segmento anterior (AS-OCT ), em condições padronizadas de alta luminosidade e ambiente escuro. Com o objetivo de maximizar a sensibilidade, especificidade e identificar o melhor ponto de corte na diferenciação entre ceratocone e indivíduos normais, foi realizada a análise quantitativa da curva característica operacional do receptor (ROC) dos parâmetros de espessura da íris.
Resultados: A área e espessura da íris estavam reduzidas nos olhos de pacientes com ceratocone. Observamos que o melhor parâmetro para discriminar indivíduos normais de pacientes com ceratocone foi a espessura média na margem pupilar, tanto em condições de alta luminosidade quanto em ambiente escuro. O desempenho diagnóstico deste parâmetro foi avaliado pela análise quantitativa da área sob a curva ROC (AROC), mostrando AROC de 0,8256, com sensibilidade de 80,0% e especificidade de 84,6% usando um ponto de corte de 0,4125 milímetros de espessura da íris. A sensibilidade aumentou para 86,7%, com um corte de 0,4700 milímetros de espessura da íris.
Conclusões: Na amostra deste estudo, a espessura da íris demostrou-se reduzida nos olhos com ceratocone. Estes resultados sugerem que os parâmetros tomográficos podem proporcionar novas informações no auxilio da triagem de pacientes com ceratocone.
 
INTRODUCTION
Keratoconus is traditionally described as a noninflammatory ectatic disorder of the cornea characterized by progressive thinning, steepening, and apical protrusion. These corneal changes induce irregular astigmatism and myopic shift, causing impairment of vision. The incidence of keratoconus in the general population is estimated to be approximately 1 in 2000(1). Keratoconus is the second most frequent indication for corneal transplantation, accounting for approximately 12% of corneal transplants performed in the United States(2) and is one of the main indications of keratoplasty in Brazil(3). Corneal transplantation has inherent intra- and postoperative risks, and the surgery significantly affects the patient’s quality of life during the surgical recovery phase and beyond, with lost work time and often permanent changes in vision and lifestyle.
The diagnosis of moderate-to-advanced keratoconus is not diffi- cult because of the presence of irregular astigmatism on corneal topography and the development of classical clinical signs. However, identifying subclinical forms of the disease in patients with normal best-corrected visual acuity (BCVA) and minimum or no clinical signs is challenging. The identification of very early forms of keratoconusor forme fruste keratoconus relies on topographic data and subjective clinical impression. Thus, more objective parameters are needed when evaluating patients with forme fruste keratoconus, such as those with asymmetric or unilateral keratoconus, family members of keratoconus patients, and patients undergoing evaluation for refractive surgery.
Corneal tomography provides three-dimensional reconstruction of the cornea, enabling evaluation of the anterior and posterior corneal surfaces and creation of a corneal pachymetric (thickness) and topographic map. Commercially available corneal tomography systems that use a rotating Scheimpflug cameras have been proposed to help identify forme fruste keratoconus(4), and high-speed anterior segment optical coherence tomography has been shown to have good repeatability and reproducibility with ocular structures and iris area measurements(5-9).
In a subset of keratoconus patients undergoing penetrating keratoplasty (PKP), we have observed that the iris can show a tendency to prolapse toward the incisions and be less responsive to pharmacological agents. Urrets-Zavalia syndrome, an uncommon postoperative complication of PKP, has also been associated with keratoconus, which suggests an intrinsic abnormality in irises with this disease(10). Others have described an association between keratoconus and floppy eyelids(11,12). Thus, multiple lines of evidence indicate extracorneal ma – nifestations of keratoconus involving the iris and/or the periocular skin and connective tissues.
In this report, we describe the novel use of AS-OCT to determine iris parameters for discriminating between normal individuals and keratoconus patients.
 
METHODS
SUBJECTS
Approval was granted by the Johns Hopkins Institutional Review Board for this study. All study procedures adhered to the tenets of the Declaration of Helsinki. This was a prospective, cross-sectional, clinic-based evaluation of patients who presented to the cornea service at the Wilmer Eye Institute. The study population consisted of recruited patients with a known or new diagnosis of keratoconus and healthy controls with normal myopic refraction.
Inclusion criteria were as follows: (1) willingness and ability to participate; (2) persons aged between 18 and 60 years; and (3) no ocular surgery in the studied eye. Exclusion criteria were as follows: (1) presence of any anatomic iris abnormalities, such as peripheral anterior synechiae or iris whorling (distortion of radially orientated iris fibers); (2) any prior intraocular incisional surgery or laser treatment; (3) any factor limiting normal AS-OCT imaging of the anterior segment; (4) history of topical or systemic medications that could interfere with iris anatomy or physiology; (5) history of any neurological disease; and (6) presence of glaucoma, elevated intraocular pressure (IOP) above 20 mmHg, or “glaucomflecken” lens opacity.
All participants completed a comprehensive questionnaire designed to collect information on baseline demographics, ocular history, eye rubbing, contact lens use, past medical history, and family history. Participants underwent a complete ophthalmic examination, including measurement of BCVA, spherical equivalent refraction in diopters (D), slit lamp biomicroscopy, and AS-OCT (Visante OCT, version 2.0; Carl Zeiss Meditec). We enrolled 41 consecutive patients, with 15 eyes of 15 keratoconus patients and 26 eyes of 26 normal age- and sex-matched controls (Table 1). For patients and controls, the eye with the worse BCVA was enrolled. When the BCVA was equivalent in both eyes, the eye with the greatest spherical equivalent refraction was enrolled. Keratoconus diagnosis was determined by clinical examination and corneal modeling with the Pentacam. In accordance with previous literature(13), keratoconus patients were graded as mild/ moderate (steepest K<52 D) or severe (steepest K>52 D).
 

 
AS-OCT IMAGE ACQUISITION
The Visante OCT used in this study has axial and transverse image resolution up to 18 and 60 μm, respectively. All participants were imaged in the enhanced anterior segment single mode to acquire an image centered over the pupil on the horizontal meridian, and proper eye alignment was indicated by an interference beam along the visual axis (scan length 16 mm; 256 A-scans). No pharmacologic agents were applied to the eye prior to imaging. The inset image on the monitor screen was used as a guide to ensure that there was minimal eye movement and no blinking during imaging.
AS-OCT imaging of the study eye was first obtained in a completely darkened room with all room lights switched off (<1 lux illumination). We allowed 3 min for patients’ dark adaptation before image acquisition. Repeat AS-OCT imaging under illumination was acquired 1 min after the room lights were turned on (350-400 lux). A fully charged handheld torch kept at an approximate angulation of 45o and a distance of 25 cm was then shone from the temporal aspect onto the fellow eye (light intensity at the subject’s sitting position was 1600 lux) during the entire time of the AS-OCT image acquisition. Care was taken to prevent any light from crossing the nasal bridge.
At least three images under dark and light conditions were acquired in each study eye. The image with the best quality, defined as having good visible scleral spurs (SS) at the temporal and nasal angles, no movement artifacts (i.e., no discontinuity of the anterior segment structures in the AS-OCT image), and good centration, was selected for analysis from the dark and light series of images, respectively
 
IMAGE ANALYSIS
Iris parameters on each of the two images (dark and light conditions) were evaluated in a masked fashion by a single observer (GB). Pupil diameter, iris area, and iris thickness in six positions, three from each side of the image (nasal and temporal) were determined (Figure 1, Table 2) using ImageJ software (version 1.44; National Institutes of Health, Bethesda, MD, USA; available at https://rsb.info.nih.gov/ij/ index.html). Images were taken directly from the Visante’s output function as RAW files (with lossless data compression). In ImageJ, the file was imported as a 16-bit signed image, with 1024 pixel width and 256 pixel height, 0 bytes for offset to first image, 1 for number of images, and 0 bytes for gap between images, preselected as little-endian byte order. The image was then rotated by 90° to the right position and selected in a scale along the x-axis by 8×, maintaining the y-axis scale at 2048 pixel width and 1024 pixel height and bilinear mode in interpolation. With this selection, horizontal scaling was 16 mm/2048 pixels=0.00781 mm/pixel, and vertical scaling was 8 mm/1024 pixel =0.00781 mm/pixel(.
The measurements were performed as follows: The left and right SS were defi ned as the point at which a change in curvature of the inner surface of the angle wall became apparent and often presented as inward protrusions of the sclera(15). A perpendicular line was drawn from each left and right SS to the anterior aspect of the band of hyper-refl ectance on the posterior iris surface representing the iris pigment epithelium (Figure 1). From the two ends of these lines, a freehand line was drawn to exactly delineate the anterior iris, central iris border, and posterior edge of the iris stroma as defi ned by the anterior aspect of the band of hyper-refl ectance representing the iris pigment epithelium (Figure 1). The area encircled by this line was calculated as the iris area.
The iris cross-sectional area was defi ned as the cross-sectional area of both the nasal and temporal sides. When the left and right ends of the iris are marked in ImageJ, the software provides a centroid value for both the left and the right markings. We calculated the horizontal x-axis distance between the two centroids and the vertical y-axis distance between the two centroids in pixels, and then converted them from pixels to mm using scales. This distance was halved to obtain the radius (R), which was then substituted into the formula for iris volume. The mm2 /pixel2 value was obtained by multiplying the horizontal scale with the vertical scale:

ImageJ software provides the area for the left and right iris markings. We then converted both areas from pixels2 to mm2 using the scaling factor above; the volume was separately calculated for the two iris markings (180° each) using the following formula:

, where R is half the distance between the two centroids in mm and A is the area of the iris in mm2 . We added the two volumes for the left and right iris markings to obtain the fi nal volume (Zeiss Meditec, personal communication).
For each portion of the iris in the image (left and right), the midpoint of the line connecting the SS to the iris pigment epithelium was connected with a line to the central-most location of the pupil margin (Figure 1, yellow line). This line was divided into four equal portions by drawing three equidistant vertical lines across the iris from the anterior iris surface to the anterior aspect of the hyper-refl ective band on the posterior iris; the iris thicknesses were obtained by measuring between these lines, with zones 1-3 on the left and zones 4-6 on the right (Figure 1).
Iris thicknesses at zones 1 (left side) and 6 (right side) represent the periphery of the iris; thicknesses at zones 2 (left side) and 5 (right side) represent the midpoint of the iris; and thicknesses at zones 3 (left side) and 4 (right side) represent the center of the iris (Figure 1). The pupillary diameter was measured as the distance between the central-most portions of the iris on the left and right.
 
STATISTICAL ANALYSIS
Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) software version 17.0 (SPSS Inc., Chicago, IL, USA). The demographics, clinical data, and iris parameters (age, sex, refraction, pupil diameter in dark and light, pupil diameter diff erence in dark and light, iris area in dark and light, and iris thickness in dark and light) were compared between the keratoconus and control groups using two-tailed t-tests. The diff erence in racial distribution between the keratoconus and control groups was assessed using

Fisher’s exact test. Race-dependent diff erences for each OCT parameter were assessed using a linear mixed-eff ects model. P-values less than 0.05 were considered statistically signifi cant.
To evaluate the diagnostic performance, receiver operating characteristic (ROC) curves were used to determine the parameter’s overall predictive accuracy [(area under the ROC curve (AROC)) and to identify the optimal iris thickness cutoff points to maximize sensitivity and specifi city when discriminating keratoconus patients from normal patients.
 
RESULTS
The mean age [± standard deviation (SD)] was 38.0 ± 11.4 years (range 18-59 years) in the keratoconus group and 34.1 ± 10.0 years (range 20-59 years) in the control group. Of these, 77.7% and 46.2% were male in the keratoconus and control groups, respectively. The race distributions in the keratoconus and control groups, respectively, were: white (46.7% vs. 61.5%), black (46.7% vs. 3.9%), Hispanic (6.7% vs. 7.7%), and Asian (0.0% vs. 19.2%). The participant characteristics of both groups are shown in table 1. The mean (± SD) spherical equivalent refraction was -2.0 ± 2.4 D in the keratoconus group and -4.8 ± 3.0 D in the control group (p=0.004). There was no apparent relationship between the iris parameters and severity of disease in the keratoconus patients (mild/moderate severity, eight; severe, seven).
The mean iris thicknesses for the paired locations (periphery zones 1 and 6, midpoint zones 2 and 5, and center zones 3 and 4) in light and dark are shown in table 2. Compared with controls, the mean iris thicknesses (mm) in light in keratoconus patients (Table 2) were 11% thinner for the peripheral iris (zones 1 and 6, p=0.09), 16% thinner for the mid-iris (zones 2 and 5, p=0.02), and 18% thinner for the central iris (zones 3 and 4, p=0.004). After adjusting for race, there were signifi cant diff erences for most of the iris parameters and for all three combined zones (1 and 6, 2 and 5, and 3 and 4) in light between keratoconus patients and controls (Table 2).
Compared with controls, the mean iris thicknesses (mm) in dark in keratoconus patients (Table 2) were 19% thinner for the peripheral iris (zones 1 and 6, p=0.001), 12% thinner for the mid-iris (zones 2 and 5, p=0.10), and 15% thinner for the central iris (zones 3 and 4, p=0.004). After adjusting for race, there were signifi cant diff erences for two of the combined zones (1 and 6 and 3 and 4) in dark between keratoconus patients and controls (Table 2). Race adjustment did not result in a statistically signifi cant diff erence for zones 2 and 5 in dark p=0.25) between keratoconus patients and controls.
Compared to controls, the total iris area in keratoconus patients (Table 2) was 7% smaller in light (p=0.14) and 10% smaller in dark (p=0.03). The pupil diameter in light and dark and difference in pupil diameter (dark minus light) showed no significant differences in keratoconus patients compared with controls (Table 2).
To discriminate keratoconus cases from controls, the mean iris thickness from light and dark conditions in all zones gave an AROC of 0.8154, with a maximum sensitivity of 80% using a cutoff of 0.3725 mm and a maximum specificity of 84.6% using a cutoff of 0.3375 mm (Table 3). Using the mean iris thickness from light and dark conditions in zones 3 and 4 only, the AROC increased to 0.8256, with a maximum sensitivity of 86.7% using a cutoff of 0.4700 mm and a maximum specificity of 84.6% using a cutoff of 0.4125 mm (Table 3 and Figure 2).
 
DISCUSSION
The utility of AS-OCT in the diagnosis and management of various anterior segment conditions has been studied in the past(5,6,16-18). In particular, Prata et al. used AS-OCT to show iris thinning in patients taking systemic alpha-1 adrenergic receptor antagonists associated with intraoperative floppy iris syndrome(19). In this report, we describe the use of AS-OCT to determine iris parameters predictive of keratoconus.

 
The human eye is formed through coordinated interactions between the neuroepithelium, surface ectoderm, and extraocular mesenchyme(20). The neuroectoderm gives rise to the iris, retina, and optic nerve; the surface ectoderm forms the lens and corneal epithelium; and the extraocular mesenchyme, comprising the mesodermal and neural crest cells, gives rise to the iris, corneal stroma, corneal endothelium, extraocular muscles, and fibrous and vascular coats of the eye(21,22). The iris arises from the anterior margin of the optic cup neuroepithelium and the periocular mesenchyme. The most posterior layer of the iris is the pigmented epithelium; anterior to this are the iris muscles, and further anteriorly lies the iris stroma.
The iris stroma originates from both the neural crest and mesoderm(23,24). Similarly, the mesenchymal stromal cells of the neural crest and mesoderm migrate into the space between the corneal epithelium and endothelium, forming the keratoblasts. The keratoblasts proliferate and synthesize an embryonic corneal stroma. The keratoblasts then differentiate into keratocytes, which synthesize a mature stromal extracellular matrix(25)
Although speculative, we suggest that the embryologic similarities of time, space, and origin of the iris and corneal stromal cells could explain our observation of reduced iris thickness in keratoconus patients. The mechanism could involve defective production of stromal components, which may be less clinically relevant for the iris than for the cornea, which is under constant biomechanical stress due to IOP and contributes directly to visual acuity via refraction and clarity. However, possible abnormalities of the iris structure and biomechanics may manifest in our perception of intraoperative floppy iris syndrome during PKP, as well as the association between Urrets-Zavalia syndrome and keratoconus.
The findings and implications of this study need to be interpreted with caution because of some limitations, including the small size of the cohort (41 eyes) and the discrepancy between the ethnicities of the keratoconus and control patients, as we enrolled 41 consecutive patients (15 keratoconus patients and 26 controls) on clinic-based evaluation who presented to the cornea service at the Wilmer Eye Institute.
In a recent iris thickness study, although Caucasian-Americans had the lowest measurements for all iris thickness parameters, African-Americans had the highest measurements for nearly all iris thickness parameters(26). In our study, the results showed that iris thickness was lower in keratoconus eyes than in control eyes, and the distribution of our African-American cohort was 46.7% (keratoconus group) and 3.9% (control group).
Furthermore, the use of six positions under two different light conditions may not reflect the full range of iris abnormalities in keratoconus. Additional possibilities include the use of video recordings to capture the dynamic parameters of the iris under changing illumination as described by Zheng et al.(27). Furthermore, the cross-sectional design of our study does not address the issue ofwhether the reduced iris thickness that we observed in keratoconus patients is progressive and correlates with changes in the severity of corneal involvement. Thus, we feel that larger, multicenter, prospective studies with ethnically similar patients are warranted to further elucidate the relationship between iris structural indices and corneal abnormalities in keratoconus.
 

 
In conclusion, we have shown an association between iris thinning and keratoconus. This observation may be related to dysfunction of the extracellular matrix and stromal cells in the iris and cornea. Improved characterization of this feature of keratoconus could potentially provide an additional source of diagnostic and prognostic information for disease management.
 
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