PMCC PMCC

Search tips
Search criteria

Advanced
Results 1-9 (9)
 

Clipboard (0)
None
Journals
Authors
more »
Year of Publication
Document Types
1.  Anterior segment imaging for glaucoma: OCT or UBM? 
The British Journal of Ophthalmology  2007;91(11):1420-1421.
Ultrasound biomicroscopy and anterior segment optical coherence tomography both have their own pros and cons in imaging
doi:10.1136/bjo.2007.121038
PMCID: PMC2095437  PMID: 17947263
2.  Characterisation of Schlemm's canal cross-sectional area 
The British Journal of Ophthalmology  2014;98(Suppl 2):ii10-ii14.
Purpose
To compare three methods of Schlemm's canal (SC) cross-sectional area (CSA) measurement.
Methods
Ten eyes (10 healthy volunteers) were imaged three times using spectral-domain optical coherence tomography (Cirrus HD-OCT, Zeiss, Dublin, California, USA). Aqueous outflow vascular structures and SC collector channel ostia were used as landmarks to identify a reference location within the limbus. SC CSA was assessed within a 1 mm segment (±15 frames of the reference, 31 frames in all) by three techniques. (1) Using a random number table, SC CSA in five random frames from the set of 31 surrounding the reference were measured and averaged. (2) The most easily visualised SC location (subjective) was measured, and (3) SC CSA was measured in all 31 consecutive B-scans, and averaged. (comprehensive average, gold standard). Subjective and random CSAs were compared with the comprehensive by general estimating equation modelling, and structural equation modelling quantified agreement.
Results
The average from five random locations (4175±1045 µm2) was not significantly different than that obtained from the gold standard comprehensive assessment (4064±1308 µm2, p=0.6537). Subjectively located SC CSA (7614±2162 µm2) was significantly larger than the comprehensive gold standard SC CSA (p<0.0001). The average of five random frames produced significantly less bias than did subjective location, yielding a calibration line crossing the ‘no-bias’ line.
Discussion
Subjectively located SC CSA measurements produce high estimates of SC CSA. SC assessed by measuring five random locations estimate CSA was similar to the gold standard estimate.
doi:10.1136/bjophthalmol-2013-304629
PMCID: PMC4208345  PMID: 24590558
Aqueous humour; Imaging
3.  Glaucoma Discrimination of Segmented Cirrus Spectral Domain Optical Coherence Tomography (SD-OCT) Macular Scans 
The British journal of ophthalmology  2012;96(11):1420-1425.
Aims
To evaluate the glaucoma discriminating ability of macular retinal layers as measured by spectral-domain optical coherence tomography (SD-OCT).
Methods
Healthy, glaucoma suspect and glaucomatous subjects had a comprehensive ocular examination, visual field testing and SD-OCT imaging (Cirrus HD-OCT; Carl Zeiss Meditec, Dublin, CA) in the macular and optic nerve head regions. OCT macular scans were segmented into macular nerve fiber layer (mNFL), ganglion cell layer with inner plexiform layer (GCIP), ganglion cell complex (GCC) (composed of mNFL and GCIP), outer retinal complex (ORC) and total retina (TR). Glaucoma discriminating ability was assessed using the area under the receiver operator characteristic curve (AUC) for all macular parameters and mean circumpapillary (cp) RNFL. Glaucoma suspects and glaucoma subjects were grouped together for the calculation of AUCs.
Results
Analysis was performed on 51 healthy, 49 glaucoma suspect and 63 glaucomatous eyes. The median visual field MD was −2.21dB (interquartile range (IQR): −6.92 to −0.35) for the glaucoma group, −0.32dB (IQR: −1.22 to 0.73) for the suspect group and −0.18dB (IQR: −0.92 to 0.71) for the healthy group. Highest age adjusted AUCs for discriminating between healthy and glaucomatous eyes were found for average GCC and GCIP (AUC=0.901 and 0.900, respectively), and their sectoral measurements: infero-temporal (0.922 and 0.913), inferior (0.904 and 0.912) and supero-temporal (0.910 and 0.897). These values were similar to the discriminating ability of the mean cpRNFL (AUC=0.913). Comparison of these AUCs did not yield any statistically significant difference (all p>0.05). Similar discrimination performance but with slight reduction in AUCs was achieved for comparison between healthy and the combination of glaucoma and glaucoma suspect eyes.
Conclusions
SD-OCT GCIP and GCC measurements showed similar glaucoma diagnostic ability and was comparable with that of cpRNFL.
doi:10.1136/bjophthalmol-2011-301021
PMCID: PMC3721629  PMID: 22914498
4.  Detection of Glaucoma Progression by Population and Individual Derived Variability Criteria 
Purpose
Ocular imaging devices provide quantitative structural information that might improve glaucoma progression detection. This study examined scanning laser polarimetry (SLP) population-derived versus individual-derived cut-off criteria for detecting progression.
Methods
Forty-eight healthy, glaucoma suspect and glaucoma subjects, providing 76 eyes were used. All subjects had reliable visual field (VF) and SLP scans acquired at the same visits from ≥ 4 visits. VF progression was defined by guided progression analysis (GPA) and by the VF index (VFI). SLP measurements were analyzed by fast mode (FM) GPA, compared to the population rate of progression, and extended mode (EM) GPA, compared to the individual variability. The agreement between progression detection methods was measured.
Results
Poor agreement was observed between progression defined by VF and FM and EM. The difference in TSNIT average rate of change between VF defined progressors and non-progressors for both FM (p=0.010) and EM (p=0.015) was statistically significant.
Conclusions
There is poor agreement between VF and SLP progression regardless of the use of population derived or individual variability criteria. The best SLP progression detection method could not be ascertained, therefore, acquiring three SLP scans per visit is recommended.
doi:10.1136/bjophthalmol-2011-301028
PMCID: PMC3721630  PMID: 23203702
Scanning laser polarimetry; glaucoma progression
5.  Inflammatory Response to Intravitreal Injection of Gold Nanorods 
The British journal of ophthalmology  2012;96(12):1522-1529.
Aim
To evaluate the utility of gold nanorods (AuNRs) as a contrast agent for ocular optical coherence tomography (OCT).
Methods
Mice were intravitreally injected with sterile AuNRs coated with either poly(strenesulfate) (PSS-AuNRs) or anti-CD90.2 antibodies (Ab-AuNRs), and imaged using OCT. After 24 hours, eyes were processed for transmission electron microscopy or rendered into single cell suspensions for flow cytometric analysis to determine absolute numbers of CD45+ leukocytes and subsets (T cells, myeloid cells, macrophages, neutrophils). Generalized estimation equations were used to compare cell counts between groups.
Results
PSS-AuNRs and Ab-AuNRs were visualized in the vitreous 30min and 24h post- injection with OCT. At 24h, a statistically significant increase in leukocytes, comprised primarily of neutrophils, was observed in eyes that received either AuNR in comparison to eyes that received saline. The accumulation of leukocytes was equal in eyes given PSS-AuNR or Ab- AuNR. Endotoxin-resistant C3H/HeJ mice also showed ocular inflammation after injection with AuNRs, indicating that the inflammatory response was not due to lipopolysaccharide contamination of AuNRs.
Conclusions
Although AuNRs can be visualized in the eye using OCT they can induce ocular inflammation, which limits their use as a contrast agent.
doi:10.1136/bjophthalmol-2012-301904
PMCID: PMC3718482  PMID: 23087415
gold nanoparticles; optical coherence tomography; contrast enhancement; immune response
6.  Variation in optical coherence tomography signal quality as an indicator of retinal nerve fibre layer segmentation error 
Purpose
Commercial optical coherence tomography (OCT) systems use global signal quality indices to quantify scan quality. Signal quality can vary throughout a scan, contributing to local retinal nerve fibre layer segmentation errors (SegE). The purpose of this study was to develop an automated method, using local scan quality, to predict SegE.
Methods
Good-quality (global signal strength (SS)≥6; manufacturer specification) peripapillary circular OCT scans (fast retinal nerve fibre layer scan protocol; Stratus OCT; Carl Zeiss Meditec, Dublin, California, USA) were obtained from 6 healthy, 19 glaucoma-suspect and 43 glaucoma subjects. Scans were grouped based on SegE. Quality index (QI) values were computed for each A-scan using software of our own design. Logistic mixed-effects regression modelling was applied to evaluate SS, global mean and SD of QI, and the probability of SegE.
Results
The difference between local mean QI in SegE regions and No-SegE regions was −5.06 (95% CI −6.38 to 3.734) (p<0.001). Using global mean QI, QI SD and their interaction term resulted in the model of best fit (Akaike information criterion=191.8) for predicting SegE. Global mean QI≥20 or SS≥8 shows little chance for SegE. Once mean QI<20 or SS<8, the probability of SegE increases as QI SD increases.
Conclusions
When combined with a signal quality parameter, the variation of signal quality between A-scans provides significant information about the quality of an OCT scan and can be used as a predictor of segmentation error.
doi:10.1136/bjophthalmol-2011-300044
PMCID: PMC3375178  PMID: 21900227
7.  Retinal nerve fibre layer and visual function loss in glaucoma: the tipping point 
Aims
To determine the retinal nerve fibre layer (RNFL) thickness at which visual field (VF) damage becomes detectable and associated with structural loss.
Methods
In a prospective cross-sectional study, 72 healthy and 40 glaucoma subjects (one eye per subject) recruited from an academic institution had VF examinations and spectral domain optical coherence tomography (SD-OCT) optic disc cube scans (Humphrey field analyser and Cirrus HD-OCT, respectively). Comparison of global mean and sectoral RNFL thicknesses with VF threshold values showed a plateau of threshold values at high RNFL thicknesses and a sharp decrease at lower RNFL thicknesses. A ‘broken stick’ statistical model was fitted to global and sectoral data to estimate the RNFL thickness ‘tipping point’ where the VF threshold values become associated with the structural measurements. The slope for the association between structure and function was computed for data above and below the tipping point.
Results
The mean RNFL thickness threshold for VF loss was 75.3 μm (95% CI: 68.9 to 81.8), reflecting a 17.3% RNFL thickness loss from age-matched normative value. Above the tipping point, the slope for RNFL thickness and threshold value was 0.03 dB/μm (CI: −0.02 to 0.08) and below the tipping point, it was 0.28 dB/μm (CI: 0.18 to 0.38); the difference between the slopes was statistically significant (p<0.001). A similar pattern was observed for quadrant and clock-hour analysis.
Conclusions
Substantial structural loss (~17%) appears to be necessary for functional loss to be detectable using the current testing methods.
doi:10.1136/bjo.2010.196907
PMCID: PMC3193885  PMID: 21478200
8.  Glaucoma detection with matrix and standard achromatic perimetry 
Background
Matrix perimetry is a new iteration of frequency‐doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation pattern.
Aim
To compare the performance of matrix and Swedish interactive thresholding algorithm (SITA) perimetry in detecting glaucoma diagnosed by structural assessment.
Design
Prospective cross‐sectional study.
Methods
76 eyes from 15 healthy subjects and 61 consecutive glaucoma suspects and patients with glaucoma were included. All patients underwent optic nerve head (ONH) photography, SITA and matrix perimetries, and optical coherence tomography (OCT) within a 6‐month period. Glaucoma diagnosis was established by either glaucomatous optic neuropathy or OCT by assessing retinal nerve fibre layer (RNFL) thickness. Mean deviation (MD), pattern standard deviation (PSD), glaucoma hemifield test and cluster of abnormal testing locations were recorded from matrix and SITA perimetries.
Results
Similar correlations were observed with matrix and SITA perimetry MD and PSD with either cup‐to‐disc ratio or OCT mean RNFL. The area under the receiver operating characteristic (AROC) curves of MD and PSD for discriminating between healthy and glaucomatous eyes ranged from 0.69 to 0.81 for matrix perimetry and from 0.75 to 0.77 for SITA perimetry. There were no significant differences among any corresponding matrix and SITA perimetry AROCs.
Conclusions
Matrix and SITA perimetries had similar capabilities for distinguishing between healthy and glaucomatous eyes regardless of whether the diagnosis was established by ONH or OCT–RNFL assessment.
doi:10.1136/bjo.2006.110437
PMCID: PMC1955642  PMID: 17215267
9.  Glaucoma Detection with Matrix and Standard Achromatic Perimetry 
Purpose
Matrix perimetry is a new iteration of frequency doubling technology (FDT) using a smaller target size in the standard achromatic perimetry presentation pattern. This study compared Matrix and Swedish interactive thresholding algorithm (SITA) perimetry performance in detecting glaucoma diagnosed by structural assessment.
Design
Prospective cross-sectional study.
Methods
Seventy-six eyes of 76 consecutive healthy subjects, glaucoma suspects and glaucoma patients were included. All patients underwent optic nerve head (ONH) photography, SITA and Matrix perimetry and optical coherence tomography (OCT; Stratus OCT) within a six month interval. Glaucoma diagnosis was established by either glaucomatous optic neuropathy or OCT retinal nerve fiber layer (RNFL) thickness. Mean deviation (MD), pattern standard deviation (PSD), glaucoma hemifield test (GHT) and cluster of abnormal testing locations were recorded from Matrix and SITA.
Results
Similar correlations were observed with Matrix and SITA MD and PSD with either cup-to-disc ratio or OCT mean RNFL. The area under the receiver operating characteristic (AROC) curves of MD and PSD for discriminating between healthy and glaucomatous eyes ranged from 0.69 to 0.81 for Matrix and from 0.75 to 0.77 for SITA. There were no statistically significant differences among any corresponding Matrix and SITA AROCs.
Conclusions
Matrix and SITA perimetry had similar capabilities for distinguishing between healthy and glaucomatous eyes regardless of whether the diagnosis was established by ONH or OCT RNFL assessment.
doi:10.1136/bjo.2006.110437
PMCID: PMC1955642  PMID: 17215267
Visual field; glaucoma

Results 1-9 (9)