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CHANGES IN APICAL CORNEAL CURVATURE IN UNILATERAL PRIMARY PTERYGIUM AND NORMAL ADULTS USING SIMULATED-K AND CORNEAL IRREGULARITY MEASUREMENT

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Introduction: This paper aimed to describe variation in apical corneal curvature between unilateral primary pterygium and normal adults utilizing simulated-K and corneal irregularity measurement corneal indices. Methods: A total of 100 participants comprise 50 unilateral primary pterygium eyes from 50 patients and 50 normal adults were recruited in this study. Diagnosis and classification of primary pterygium were done by a consultant ophthalmologist (KMK). Standard optometric examinations were performed in all participants. Simulated-K (SimK) and corneal irregularity measurement (CIM) was objectively measured using a corneal topographer. Three measurements based on best image quality for SimK and CIM were taken by single operator in a same visit. Difference for both SimK and CIM parameters between primary pterygium and normal groups were determined via independent T-test. Results: Overall mean and standard deviation (n = 120) of SimK and CIM were found higher in primary pterygium group (9.06 ± 4.49 D and 11.48 ± 3.12) compared to normal (1.63 ± 0.67 D and 0.62 ± 0.24) respectively. Independent T-test results showed significance difference in SimK and CIM values between primary pterygium groups and normal (both P< 0.001). Conclusions: Both SimK and CIM corneal indices can be an important tool in describing and predicting changes on the corneal curvature due to pterygium progression. However, it is worth to note that the detectability of changes in anterior corneal curvature is limited to 5 mm of central corneal curvature.
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CHANGES IN SIMULATED-K AND CORNEAL IRREGULARITY MEASUREMENT…
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CHANGES IN APICAL CORNEAL CURVATURE IN UNILATERAL PRIMARY
PTERYGIUM AND NORMAL ADULTS USING SIMULATED-K AND CORNEAL
IRREGULARITY MEASUREMENT
MOHD RADZI HILMI, PhD (CORRESPONDING AUTHOR)
DEPARTMENT OF OPTOMETRY AND VISUAL SCIENCE, KULLIYYAH OF ALLIED HEALTH
SCIENCES, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA (IIUM), JALAN SULTAN
AHMAD SHAH, BANDAR INDERA MAHKOTA, 25200 KUANTAN, PAHANG, MALAYSIA
mohdradzihilmi@iium.edu.my
NUR HIDAYAH MUSA, B.OPTOM (HONS.)
DEPARTMENT OF OPTOMETRY AND VISUAL SCIENCE, KULLIYYAH OF ALLIED HEALTH
SCIENCES, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA (IIUM), JALAN SULTAN
AHMAD SHAH, BANDAR INDERA MAHKOTA, 25200 KUANTAN, PAHANG, MALAYSIA
nurhidayah_musa@ymail.com
KHAIRIDZAN MOHD KAMAL, MS (OPHTHAL)
DEPARTMENT OF OPHTHALMOLOGY, KULLIYYAH OF MEDICINE, INTERNATIONAL
ISLAMIC UNIVERSITY MALAYSIA (IIUM), JALAN SULTAN AHMAD SHAH, BANDAR INDERA
MAHKOTA, 25200 KUANTAN, PAHANG, MALAYSIA
Khairidzan@gmail.com
MOHD ZULFAEZAL CHE AZEMIN, PhD
DEPARTMENT OF OPTOMETRY AND VISUAL SCIENCE, KULLIYYAH OF ALLIED HEALTH
SCIENCES, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA (IIUM), JALAN SULTAN
AHMAD SHAH, BANDAR INDERA MAHKOTA, 25200 KUANTAN, PAHANG, MALAYSIA
zulfaezal@iium.edu.my
NUR NABILAH MARUZIKI, BOPTOM (HONS.)
DEPARTMENT OF OPTOMETRY AND VISUAL SCIENCE, KULLIYYAH OF ALLIED HEALTH
SCIENCES, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA (IIUM), JALAN SULTAN
AHMAD SHAH, BANDAR INDERA MAHKOTA, 25200 KUANTAN, PAHANG, MALAYSIA
nsolehah94@gmail.com
NUR AIN NORAZMAR, BOPTOM (HONS.)
DEPARTMENT OF OPTOMETRY AND VISUAL SCIENCE, KULLIYYAH OF ALLIED HEALTH
SCIENCES, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA (IIUM), JALAN SULTAN
AHMAD SHAH, BANDAR INDERA MAHKOTA, 25200 KUANTAN, PAHANG, MALAYSIA
ainazmariium@gmail.com
MARDHIAH SYAZWANI NASIR, BOPTOM (HONS.)
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DEPARTMENT OF OPTOMETRY AND VISUAL SCIENCE, KULLIYYAH OF ALLIED HEALTH
SCIENCES, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA (IIUM), JALAN SULTAN
AHMAD SHAH, BANDAR INDERA MAHKOTA, 25200 KUANTAN, PAHANG, MALAYSIA
marsyadhiani_2210@yahoo.com
ABSTRACT
Introduction: This paper aimed to describe variation in apical corneal curvature between unilateral
primary pterygium and normal adults utilizing simulated-K and corneal irregularity measurement
corneal indices. Methods: A total of 100 participants comprise 50 unilateral primary pterygium eyes
from 50 patients and 50 normal adults were recruited in this study. Diagnosis and classification of
primary pterygium were done by a consultant ophthalmologist (KMK). Standard optometric
examinations were performed in all participants. Simulated-K (SimK) and corneal irregularity
measurement (CIM) was objectively measured using a corneal topographer. Three measurements
based on best image quality for SimK and CIM were taken by single operator in a same visit.
Difference for both SimK and CIM parameters between primary pterygium and normal groups were
determined via independent T-test. Results: Overall mean and standard deviation (n = 120) of SimK
and CIM were found higher in primary pterygium group (9.06 ± 4.49 D and 11.48 ± 3.12) compared to
normal (1.63 ± 0.67 D and 0.62 ± 0.24) respectively. Independent T-test results showed significance
difference in SimK and CIM values between primary pterygium groups and normal (both P< 0.001).
Conclusions: Both SimK and CIM corneal indices can be an important tool in describing and
predicting changes on the corneal curvature due to pterygium progression. However, it is worth to
note that the detectability of changes in anterior corneal curvature is limited to 5 mm of central
corneal curvature.
Keywords: pterygium; morphology; Simulated-K; corneal irregularity measurement; corneal
curvature
INTRODUCTION
Pterygium is defined as an abnormal fibrovascular lesion which originates from the bulbar
conjunctiva and progresses towards central cornea (Ang, Chua and Tan, 2007). Prevalence of
pterygium has been closely associated with chronic ultraviolet (UV) ray exposures (Liu et al., 2013)
and limbal stem-cell alteration at corneo-limbal junction (Chui et al., 2011). It is an established fact
that pterygium is a significant factors which contribute to induced corneal astigmatism which closely
related to its physical properties such as its horizontal width or its total area (Mohammad-Salih and
Sharif, 2008). However, it is worth to note that clinically not all large size of pterygium induced
significant astigmatism, as based on our clinical observation small pterygium size could also give
similar effects.
Tan et al., (1997) has proposed classification of pterygium based on its clinical appearance.
This classification is based on three (3) types or grades known as type I - atrophy, type II -
intermediate and type III - fleshy. The classification framework was based on loss of translucency of
pterygium tissue which relates to increased fleshiness that signifies abnormal fibrovascular growth of
pterygium. Apart from this grading, there are several clinical grading has been suggested in
evaluating pterygium which based on its morphologies as shown in Table 1 below.
Several clinical grading’s has been suggested in evaluating pterygium. Pterygium can be
assessed based on several methods such as via its morphology (Mohd Radzi et al., 2017), extension or
length (Chui et al., 2011; Farhood and Kareem, 2012; Kheirkhah et al., 2012;), its size (Mohammad-
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Salihand Sharif, 2008; Altan-Yaycioglu et al., 2013; Vives et al., 2013) and based on its encroachment
relative to the corneal size (Mohammad-Salih and Sharif, 2008; Mohd Radzi et al., 2017).
Table 1: Current available clinical pterygium grading based on its morphology
Morphology
Evidence from literatures
Fleshiness
Tan et al., 1997; Mohd Radzi et al., 2017
Extension or length
Chui et al., 2011; Farhood and Kareem, 2012; Kheirkhah et al., 2012
Size or total area
Mohammad-Salih and Sharif, 2008; Altan-Yaycioglu et al., 2013; Vives
et al., 2013
Encroachment relative to
the corneal size
Mohammad-Salih and Sharif, 2008; Mohd Radzi et al., 2017
Apical corneal curvature changes are commonly measured using Simulated-K (SimK)
(Farhood and Kareem 2012; Kheirkhah et al., 2012; Kheirkhah et al., 2012; Altan-yaycioglu et al., 2013;
Viveset al., 2013). SimK is an index which characterizes estimation of total corneal astigmatism based
on measurement of anterior corneal curvature (Eom et al., 2014). Simulated-K index characterise
corneal curvatures in the central 3-mm optical zone of cornea. The steep simulated K-reading is the
steepest meridian of the cornea, using only the points along the central pupil area with 3-mm
diameter. The flat simulated K-reading is the flattest meridian of the cornea and is, by definition, 90°
apart, with the normal value of SimK is approximately 43.00 ± 2.00 Dioptres (D). These readings gave
an idea about the central corneal curvature that is frequently visually most significant.
In contrast, corneal irregularity measurement (CIM) is an index which signifies the
probability of irregular anterior corneal surface. CIM value indicates the regularity of the corneal
surface, with normal CIM values are between 0.03μm to 0.68μm, whereas 0.69μm to 1.0μm are
considered as borderline and abnormal values are between 1.1μm to 5.0μm. A higher CIM values
would indicates higher probability of irregular anterior corneal surface and ocular pathologies. In a
simple term, CIM is a measurement in describing changes of the corneal regularity in comparison
with the normal corneal shape. However, CIM is rarely addressed as a clinical parameter in
describing peripheral corneal lesion such as pterygium. Nonetheless, CIM has been used in
describing other corneal pathologies such as keratoconus and pellucid marginal degeneration (PMD).
Although numerous works (Ozdemir and Cinal, 2005; Yagmur et al., 2005; Maheshwari, 2007;
Mohammad-Salih and Sharif, 2008; Farhood and Kareem, 2012; Kheirkhah et al., 2012; Kheirkhah et
al., 2012; Altan-yaycioglu et al., 2013; Vives et al., 2013) had proven that progression of pterygium
does induce changes on the anterior corneal curvature, based on our literature search, lack of
evidence found which employs CIM in describing effects of pterygium on anterior corneal curvature.
Hence, this study aims to evaluate the changes in apical corneal curvature in primary pterygium
utilizing two (2) corneal indices (SimK and CIM).
METHODS
A total of 100 participants comprise of 50 unilateral primary pterygium eyes from 50 patients and 50
normal adults were recruited in this study who visits a tertiary ophthalmic centre in East Coast of
Malaysia in order to display a wide range of severity of pterygium patients. All participants in this
study were selected based on specific criteria. Inclusion criteria include established diagnosis of
primary pterygium, both genders were included with age ranges from 20 to 70 years and free from
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any history of ocular trauma, ocular surgery, contact lens wear, and any ocular anterior segment
disease other than pterygium which may affect vision as previously described (Mohd Radzi et al.,
2017; CheAzemin et al., 2015; Azemin, Hilmi and Kamal, 2014; CheAzemin et al., 2014). Diagnosis of
primary pterygium was performed by a consultant ophthalmologist (KMK). The study was
conducted according to recommendation of the tenets of Declaration of Helsinki and approved by the
International Islamic University Malaysia (IIUM) research ethical committee (IREC)
(IIUM/310/G13/4/4-125). Written and informed consent was obtained from all participants prior
any procedures performed.
All participants undergo standard optometric examination comprises dry refraction, slit-lamp
examination and fundus examination. Then, each participant’s average central corneal curvature
(SimK) and corneal irregularity measurement (CIM) was objectively measured using Zeiss ATLAS™
995 corneal topographer (Zeiss Meditec, Inc, Dublin, USA). Three measurements were taken and the
measurement with the best image quality was taken as the SimK and CIM value. These
measurements were done by single operator and performed on the same visit. All data were then
been exported to statistical software.
Statistical analyses were performed using IBM SPSS (Predictive analytics software) (Version
19, SPSS Inc., Chicago, IL, USA). Independent T-test was employed to evaluate the difference between
both primary pterygium and normal groups for both SimK and CIM parameters. A significance level
of P< 0.05 was set as the confidence level.
RESULTS
The analysis include 100 participants, with 53% (n = 53) were men. Normality testing was evaluated
using ratio of skewness and kurtosis (George and Mallery, 2010), with ± 2.50 was taken as normal
distribution. Normality testing showed normal data distribution for both groups.
The mean of SimK and CIM for primary pterygium group were 9.06 ± 4.49 D and 11.48 ± 3.12
respectively. In contrast, normal group showed lower values of SimK and CIM with 1.63 ± 0.67 D and
0.62 ± 0.24 respectively. Independent T-test results revealed that there were significance differences
between normal and primary pterygium groups for both parameters (both P< 0.05). All results were
summarized in Table 2.
Table 2 Comparison of SimK and CIM values between primary pterygium and normal group (n =
100)
Group
P-value*
Primary pterygium (Mean ± SD)
Normal (Mean ± SD)
9.06 ± 4.49
1.63 ± 0.67
P < 0.001
11.48 ± 3.12
0.62 ± 0.24
P < 0.001
SD: Standard Deviation
D: Dioptres
SimK: Simulated-K
CIM: Corneal Irregularity Measurement
*: Independent T-test (Significance level set at 0.05)
DISCUSSION
This study aims to evaluate the difference in apical corneal curvature utilizing two (2) corneal indices
(SimK and CIM). Hence, this paper aim to demonstrate the usability of both indices in describing the
changes in central 3-mm curvature of cornea (which also known as apical) between both normal and
primary pterygium eyes. In this study, equal number of participants in both normal and primary
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pterygium group (both n = 30) were recruited to evaluate the difference in SimK and CIM relative to
pterygium types in comparison with normal eyes.
Increase of SimK values indicates higher changes in anterior corneal curvature which
indirectly signify induced-astigmatism. Simulated K (SimK) values simulate the traditional
keratometer readings by expressing the curvature in two orthogonal axes (90° apart) in the central
approximately 3 mm area of the apical cornea. SimK would display the average power and axis of
both corneal meridians. Normally, SimK would give values which resemble the topographic image of
cornea which provides information on the degree of severity and angle of astigmatism. With regards
to pterygium patients, SimK would provide information on the progression of the disease, gross
prediction of visual performance and also the needs of surgical intervention. Based on our findings,
Pterygium group revealed significantly higher SimK compared to normal (P< 0.05). We postulate that
pterygium could induce changes in corneal astigmatism in form of higher value of SimK due to its
fleshiness appearance (Tan et al., 1997; Mohd Radzi et al., 2017; Mohd Radzi et al., 2018) which
indirectly induce higher corneal toricity. The fleshiness appearance of pterygium also could give rise
to obscured episcleral vessels which could signify presence of fibrovascular tissue due to excessive
proliferative disorders (Touhami et al., 2005; Ribatti et al., 2007).
This study also found higher CIM values in pterygium group compared to normal (P< 0.05).
Higher corneal irregularity measurement (CIM) indicates the anterior corneal curvature change
towards irregular shape which does not resemble the ‘normal’ corneal shape known as prolate. With
regards to pterygium, this finding showed that pterygium progression caused the corneal surface
become irregular, which gives rise to unwanted corneal astigmatism (Roh et al., 2015). To the best of
our knowledge, information on CIM related to pterygium is scarce. However, we suggest the
irregularity of the corneal curvature could be due to compression of corneal curvature due to
pterygium progression, which indirectly inducing corneal flattening on the pterygium region
(Maheshwari, 2007). Corneal compression could be due to increase mechanical traction of pterygium
tissue on the corneal surface and its tissue weight. Although these findings look promising, we need
to highlight that both SimK and CIM only measures changes on the central cornea, approximately 5 -
6 mm centrally. Thus, the overall effect of pterygium progression is still unknown as it progresses
from peripheral cornea.
CONCLUSION
Both SimK and CIM corneal indices can be an important tool in describing and predicting changes on
the corneal curvature due to pterygium progression. However, it is worth to note that the
detectability of changes in anterior corneal curvature is limited to 5 mm of central corneal curvature.
ACKNOWLEDGEMENT
This research is financially supported by International Islamic University Malaysia (IIUM) under
Research Initiative Grant Scheme (RIGS) RIGS17-148-0723.
DECLARATION OF INTEREST
The authors report no conflicts of interest.
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Background: This study aimed to evaluate the pterygium recurrence rate and corneal stabilization point after pterygium excision via the controlled partial avulsion fibrin glue technique using multiple corneal parameters. Methods: One hundred eyes of 100 patients who had undergone primary pterygium excision surgery via the controlled partial avulsion fibrin glue technique were retrospectively reviewed. Corneal stabilization points were determined over four follow-up sessions (i.e., the 1st, 3rd, 6th, and 12th months after surgery) based on changes in Simulated-K, corneal irregularity measurement, shape factor, and toric mean keratometry. Post-operative courses were followed for 12 months after surgery. Recurrence was defined as the regrowth of fibrovascular tissue 1 mm past the corneoscleral limbus. Results: No sign of pterygium recurrence and the corneal stabilization point were observed at the third month post-operation. Significance improvements in all corneal parameters were noted between the 1st and 3rd months (both p < 0.001); however, insignificant changes were noted at the following 6th- and 12th-month visits (both p > 0.05). Conclusion: The controlled partial avulsion fibrin glue technique may improve surgical outcomes with long-term recurrence rates equal to or lower than those previously reported. Corneal surface recovery is completed after the third month of the excision procedure.
... Keratometry is measurement of the radius of anterior corneal curvature which lies within the optical spherical zone of cornea (Hilmi et al., 2019). While in this study, K parameter is taken from corneal topography (simulated K), it can also be calculated manually (manual K). ...
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Introduction: Photorefractive keratometry (PRK) and laser in situ keratomileusis (LASIK) are among the many types of laser refractive surgery available for the correction of myopic astigmatism. The outcome of the procedure can be affected by several parameters which include patient's age, optical zone diameter, epithelial hyperplasia, preoperative keratometry as well as astigmatism. Aim: This study aimed to determine the relationship between preoperative keratometry and astigmatism with visual recovery time after laser refractive surgery. Methods: Records of 174 eyes (174 patients) with myopic astigmatism who had been treated with either LASIK (71 eyes) or PRK (103 eyes) at IIUM Eye Specialist Clinic from January 2015 to June 2018, were retrospectively analyzed. Main outcome measure was the time taken for patients to achieve visual acuity (VA) 6/6 (equivalent to 0.00 LogMAR) postoperatively. Value for keratometry parameter was taken from corneal topography while astigmatism magnitude was taken from manifest refraction. Their correlation with visual recovery time was analyzed using Pearson correlation coefficient (PCC). P <0.05 was considered as statistically significant. Results: The mean preoperative astigmatism and mean keratometry was 0.9 ±0.76D and 43.65 ±1.23D respectively. A significant but weak positive correlation between preoperative astigmatism and visual recovery time was observed (P-value = 0.013; R = 0.188), while no correlation observed for mean keratometry (P-value = 0.305; R = 0.078). Conclusions: Preoperative astigmatism influenced the visual recovery time post laser refractive surgery in myopic astigmatism patients, but not keratometry.
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Introduction: This study aimed to evaluate the reliability measurement of corneal stromal thickness, sub-basal nerve plexus (SBNP) and keratocyte cell density (KCD) in laser refractive surgery patients. Methods: 120 eyes of 60 participants were recruited and both right and left eyes of the myopic subjects were measured separately. Cornea stromal thickness were measured based on the cellular morphology that differs between each corneal layer. Measurement of SBNP and KCD were done using in-vivo confocal microscopy (IVCM) using corneal stromal thickness as reference. Corneal nerve parameters measured includes nerve fiber density (NFD), nerve branch Density (NBD) and nerve fiber length (NFL) while KCD were measured based the amount per area, depending on the region of interest. All images were captured and processed using ImageJTM Software and NeuronJ. All data were expressed in mean and standard deviation. Statistical analyses were performed using Predictive analytics software. P < 0.05 was set as the level of significance. Intra- and inter-observer intraclass correlation analysis were done to evaluate reliability of measurement in corneal stromal thickness, SBNP and KCD. Results: This study found no significant difference between measurements for corneal stromal thickness, SBNP and KCD measured. (All P > 0.05). Intraclass correlation analysis showed both intra- and inter-observer performance were approximately consistent and reliable (All r > 0.90, P > 0.05). Conclusion: Measurement of corneal stromal thickness, SBNP and KCD using IVCM is valid and reliable.
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Introduction: Pterygium is commonly subjectively evaluated via anterior segment assessments during slit-lamp examination. Thus, this assessment prones individual variations as it requires subjective grading and adequate experience to ensure consistency of diagnosis and management. Purpose: This study aimed to compare the reliability of subjectively graded real-image pterygium based on its translucence appearance between experienced clinicians. Design of study: Prospective randomized study. Materials and methods: Thirty (30) primary pterygium images from 30 pterygium patients were captured in a standardized magnification, illumination and formatting setting as previously de-scribed. All images were projected using PowerPoint presentation™ on a liquid crystal display (LCD) monitor with standard resolution. Two clinicians with different levels of experiences act as a grader and grade all images based on reference images provided. For reliability testing, intra-grader assessment was repeated twice with different sequences at least a month apart between each session. Both clinicians were given a set of 30 randomized pterygium images for all sessions. Reliability testing was evaluated using paired T-test and independent T-test. Results: Descriptive analysis revealed observer 1 obtained mean grade of 2.19 (SD = 0.670) and 2.23 (SD = 0.713) for session 1 and 2 respectively. Observer 2 obtained 2.04 (SD = 0.853) and 2.08 (SD = 0.894) for session 1 and 2 respectively. Paired T-test showed the difference for both observers in both sessions were not statistically significant (P = 0.776 and P = 0.583) respectively. Reproducibility testing using Independent T-test results showed the difference between observers was not statistically significant (P = 0.275). Subjectively graded pterygium clinical grading based on its translucence appearance was repeatable and reproducible. Conclusion: These findings could serve as a basis for future work on to evaluate performance of pterygium clinical grading based on its morphology with different levels of experience and larger number of samples.
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Background: Contrast sensitivity (CS) is widely used as a measure of visual function in research and clinical settings. CS is regarded as an important visual parameter, detecting subtle reductions in vision prior to significant reduction in visual acuity. Methods: We examined the agreement between the gold-standard Pelli-Robson chart and a computerized test termed the M&S Smart System II (MSSS-II) in patients with primary pterygium. Ninety-three patients (93 primary pterygium eyes) who visited an ophthalmology clinic were selected. The patients were randomly assessed for CS using the MSSS-II or Pelli-Robson chart. The primary outcome was agreement in log units between these two tests in the assessment of CS in patients with primary pterygium. Results: The mean and standard deviation of CS measurement in the two tests were comparable (1.22 ± 0.56 vs. 1.21 ± 0.57 log units, respectively, p = 0.083). The Bland-Altman plot revealed that the mean difference between the two charts was 0.0016 log units (standard deviation: 0.009 log units) with narrow limits of agreement of −0.0186 to 0.0186. Conclusions: MSSS-II provides an alternative for the clinical assessment of CS using a computerized method that describes the status of visual function in patients with primary pterygium.
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Introduction: Corneal curvature (CC) is an important anterior segment parameter. This study compared CC measurements conducted with two optical devices in pterygium eyes. Methods: Sixty pterygium eyes of 30 patients were enrolled in this study. CC was measured three times with the optical biometer and topography-keratometer Tomey OA-2000 (Tomey Corporation, Nagoya, Japan), then with partial optical coherence interferometry (PCI) IOL Master 500 (Carl Zeiss Meditec, Dublin, CA) and data were statistically analysed. Results: The measurements revealed in a mean CC of 43.86 ± 1.57 D with Tomey OA-2000 and 43.84 ± 1.55 D with IOL Master. Distribution of data is normal, and no significance difference in CC values was detected (P = 0.952) between the two devices. Correlation between CC measurements was highly significant (r = 0. 99; P < 0.0001). The mean difference of CC values between devices was 0.017 D and 95% limit of agreement was -0.088 to 0.12. Duration taken for measurements with the standard biometer IOL Master was longer (55.17 ± 2.24 seconds) than with Tomey OA-2000 (39.88 ± 2.38 seconds) in automatic mode. Duration of manual measurement with Tomey OA-2000 in manual mode was shorter (28.57 ± 2.71 seconds). Conclusion: In pterygium eyes, CC measured with Tomey OA-2000 and IOL Master showed similar values, and high correlation was observed between these two devices. This shows that both devices can be used interchangeably. Tomey OA-2000 is better in terms of faster to operate and has its own topography systems.
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Purpose: The goal of this study was to predict visual acuity (VA) and contrast sensitivity function (CSF) with tissue redness grading after pterygium surgery. Materials and methods: A total of 67 primary pterygium participants were selected from patients who visited an ophthalmology clinic. We developed a semi-automated computer program to measure the pterygium fibrovascular redness from digital pterygium images. The final outcome of this software is a continuous scale grading of 1 (minimum redness) to 3 (maximum redness). The region of interest (ROI) was selected manually using the software. Reliability was determined by repeat grading of all 67 images, and its association with CSF and VA was examined. Results: The mean and standard deviation of redness of the pterygium fibrovascular images was 1.88 ± 0.55. Intra-grader and inter-grader reliability estimates were high with intraclass correlation ranging from 0.97 to 0.98. The new grading was positively associated with CSF (p < 0.01) and VA (p < 0.01). The redness grading was able to predict 25% and 23% of the variance in the CSF and the VA, respectively. Conclusions: The new grading of pterygium fibrovascular redness can be reliably measured from digital images and showed a good correlation with CSF and VA. The redness grading can be used in addition to the existing pterygium grading.
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GLCM texture features have been widely used to characterize biomedical images. Most of the previous studies using GLCM features to characterize biomedical images only consider single or limited color space due to the use of only one color model. To mimic human color perception, conventional RGB color model may need to be supplemented with other color space models for better human vision representation. This study is aimed to find an optimal set of GLCM features extracted from different color space for pterygium grading. Mimicking human color perception has commonly employed RGB color space, which is shown in this paper is inadequate. GLCM features when extracted in various color space show better representation of human perception (correlation coefficient > 0.6) compared to using RGB color space (correlation coefficient < 0.2).
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The aim of this study was to compare the effect of corneal irregularity on astigmatism assessment using automated keratometry (AK) (IOLMaster) versus ray tracing keratometry (Pentacam). This is an observational case series approved by the institutional review board of Dongguk University Hospital, Goyang, South Korea. A total of 207 eyes of 207 cataract patients were included. Preoperative corneal astigmatism was measured by both IOLMaster and Pentacam. Corneal irregularity index (IR) was calculated in Fourier analysis map of Pentacam. AK by IOLMaster and total corneal refractive power (TCRP, 3 mm and 4 mm zone analysis with pupil centered) by Pentacam were selected and the difference between the 2 measurements (delta Δ) was calculated using vector analysis. Ocular residual astigmatism (ORA) after cataract surgery was calculated by subtracting 6-month postoperative refractive astigmatism (RA) measurements from corresponding preoperative values (AK, TCRP3, and TCRP4). The mean irregularity index measured was 0.042 ± 0.019 mm (mean ± standard deviation) and was positively correlated with age and magnitude of corneal astigmatism (P < 0.001 and P < 0.05). The difference (Δ) between TCRPs and AK (ΔTCRPs-AK) was 0.43 ± 0.37 (TCRP3) and 0.39 ± 0.35 (TCRP4) diopters. Linear regression analysis revealed that age (P < 0.001), IR (P < 0.001), and AK (P < 0.001) were positively correlated with ΔTCRPs-AK. In highly irregular corneas (IR over 0.77 diopters: mean + 2 standard deviation), postoperative ORAs calculated using TCRPs were significantly lower than ORAs calculated using AK. Corneal irregularities significantly impact astigmatism assessment by IOLMaster (AK) and Pentacam (TCRPs). Compared with AK, TCRPs were more accurate in predicting postoperative residual astigmatism in highly irregular corneas.
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Pterygium is considered to be a proliferative overgrowth of bulbar conjunctiva that can induce significant astigmatism and cause visual impairment; this is the first meta-analysis to investigate the pooled prevalence and risk factors for pterygium in the global world. A systematic review and meta-analysis of population-based studies. International. A total of 20 studies with 900 545 samples were included. The pooled prevalence and risk factors for pterygium. 20 studies were included. The pooled prevalence of pterygium was 10.2% (95% CI 6.3% to 16.1%). The pooled prevalence among men was higher than that among women (14.5% vs 13.6%). The proportion of participants with unilateral cases of pterygium was higher than that of participants with bilateral cases of pterygium. We found a trend that the higher pooled prevalence of pterygium was associated with increasing geographical latitude and age in the world. The pooled OR was 2.32 (95% CI 1.66 to 3.23) for the male gender and 1.76 (95% CI 1.55 to 2.00) for outdoor activity, respectively. The pooled prevalence of pterygium was relatively high, especially for low latitude regions and the elderly. There were many modifiable risk factors associated with pterygium to which healthcare providers should pay more attention.
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To determine the presence and origin of myofibroblasts in pterygia. 86 specimens including head, body, and fibrovascular tissue from 52 primary and 34 recurrent pterygia and five exenterated eyes without pterygia were searched for the origin of myofibroblasts. All tissues were subjected to haematoxylin and eosin staining, immunohistochemistry using antibodies against alpha smooth muscle actin (alpha-SMA), desmin, vimentin, and caldesmon, and transmission electron microscopy (TEM). The phenotype of fibroblasts subcultured in a serum free medium from pterygium fibrovascular tissues was characterised by the above antibodies. Bundles of dense fibrous tissues were noted in 86% of the fibrovascular tissue specimens evaluated. Cells within these bundles were characterised as myofibroblasts based on positive staining to alpha-SMA, but negative to desmin and caldesmon, markers for smooth muscle cells. Interestingly, positive alpha-SMA staining was also found in the periorbital fibroadipose tissue posterior to Tenon's capsule near the nasal conjunctiva in all exenterated specimens. All first passage fibroblasts expressed vimentin, some were positive to alpha-SMA, but all were negative to desmin or caldesmon. Cells in pterygium fibrovascular tissues showed ultrastructural features of intracytoplasmic bundles of microfilaments, consistent with myofibroblastic differentiation. These studies collectively demonstrate the presence of contractile myofibroblasts bundle in pterygia and in the periorbital fibroadipose tissue posterior to Tenon's capsule of exenterated eyes without pterygium.
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Background: To evaluate the effects of posterior corneal astigmatism and the absolute flat meridian difference between anterior and posterior corneal surfaces (AMDAnt-Post) on the estimation of total corneal astigmatism using anterior corneal measurements (simulated keratometry [K]). Methods: Ninety-nine eyes of 99 healthy participants were enrolled. Anterior, posterior, and total mean corneal power, cylinder power, flat meridian, and vector components J0, and J45 measured by a dual Scheimpflug camera were analyzed. The correlation between the posterior corneal cylinder power, AMDAnt-Post, and the difference in the cylinder power between simulated K and total cornea (cylinder power differenceSimK-Tot) were evaluated. Results: The cylinder power differenceSimK-Tot was positively correlated with the posterior corneal cylinder power (rho = 0.704 and P < 0.001) and negatively correlated with AMDAnt-Post (rho = -0.717 and P < 0.001). In the multivariate linear regression analysis, anterior corneal J0 was strongly associated with the posterior corneal cylinder power and the AMDAnt-Post. When corneal J0 had a positive value, the cylinder power of simulated K tended to be larger than the total corneal cylinder power. In comparison, the opposite trend was presented in eyes with negative anterior corneal J0. When anterior corneal J0 was larger than 1.0 or smaller than -0.9, the errors from estimating the total corneal cylinder power using anterior corneal measurements tended to be larger than 0.25 D. Conclusion: Posterior corneal astigmatism should be considered for more accurate corneal astigmatism predictions, especially in eyes with anterior corneal astigmatism greater than 2.0 D of with-the-rule astigmatism or greater than 1.8 D of against-the-rule astigmatism.
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To compare success rates of conjunctival autografting and bare sclera excision for primary and recurrent pterygium in the tropics and to evaluate risk factors for pterygium recurrence. A prospective, controlled clinical trial was performed in which 123 primary and 34 recurrent pterygia, matched for age and pterygium morphology, were randomized in 2 separate studies to receive either bare sclera excision or conjunctival autograft. The surgical procedures were performed by one surgeon and reviewed at 1, 3, 6, and 12 months after surgery by an independent observer. Pterygium morphology was clinically graded as atrophic, intermediate, or fleshy according to an assessment of pterygium translucency. Risk factors were assessed using likelihood ratio tests. Weibull curves were used to estimate recurrence rates allowing for the interval censoring. In the group with primary pterygium (mean follow-up, 15.1 months), 38 (61%) of the 62 cases of bare sclera excision (heretofore referred to as the bare sclera group) had pterygium recur in contrast with 1 (2%) of the 61 cases of conjunctival autograft (heretofore referred to as the conjunctival autograph group) (P<.001, likelihood ratio X2 test). Nontranslucency, or fleshiness of the pterygium, and not age was a significant risk factor for recurrence in the bare sclera group (P<.001, likelihood ratio X2 test). In the group with recurrent pterygium (mean follow-up, 13.2 months), 14 (82%) of the 17 bare sclera group had pterygium recur, while no recurrences occurred among 17 cases in the conjunctival autograft group. Nontranslucency was again a highly significant factor for recurrence (P<.001, likelihood ratio X2 test). Pterygium recurrence is related to pterygium morphology and fleshiness of the pterygium is a significant risk factor for recurrence if bare sclera excision is performed. Conjunctival autografting for primary and recurrent pterygium is effective in reducing pterygium recurrence compared with bare sclera excision.
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Applied pre- and postoperative corneal topography outcomes with visual acuities were evaluated to determine the surgical results in pterygium therapy. The study group consisted of 30 eyes of 26 patients with primary and recurrent pterygium. Mean patient age was 52.26+/-11.50 years (range: 27 to 68 years). Pre- and postoperative visual acuity and comeal topography were evaluated for each case. Statistical analysis was performed using the repeated-measure test. The mean uncorrected visual acuity was 0.41+/-0.30 preoperatively and 0.63+/-0.26 postoperatively (P<.001). The mean best spectacle-corrected visual acuity was 0.59+/-0.28 preoperatively and 0.84+/-0.22 postoperatively (P<.001). Surface regularity index ranged from 1.96+/-1.08 preoperatively to 1.09+/-0.76 postoperatively (P<.001). The mean surface asymmetry index was 3.05+/-2.85 preoperatively and 1.39+/-1.70 postoperatively (P=.003). The mean topographic astigmatism was 4.65+/-3.02 preoperatively and 2.33+/-2.26 postoperatively (P=.003). Examination of the topographic records reveals pterygium-associated corneal flattening in the horizontal meridian along the line of the pterygium. The improvement in topographic pattern and best spectacle-corrected visual acuity can be used as one indicator of the success of pterygium surgery.