Software updates of OCT segmentation algorithms influence longitudinal assessment of retinal atrophy

Coric, Danko; Petzold, Axel; Uitdehaag, Bernard M. J.; Balk, Lisanne J.

doi:10.1016/j.jns.2018.01.020

Cited by 7 publications

(6 citation statements)

References 28 publications

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“…A sensitivity analysis excluding patients with a previous history of ON in either eye was also performed [11,12]. We studied the association of OCT measures, MRI volumetric measures and clinico-radiological variables by using Pearson correlation tests, adjusting for OCT software [18], MRI scanner and age when appropriate. We analyzed whether OCTderived measures and MRI volumetric measures were independently associated with disability by using multivariable logistic regression models with Expanded Disability Status Scale (EDSS) score as dependent variable with a threshold of ≥3.0 [19].…”

Section: Discussionmentioning

confidence: 99%

“…In any case, scanner type was included as a covariate in all statistical analyses that included MRI measures. Similarly, a recent work suggested that the use of different OCT segmentation software versions could affect pRNFL estimations [18]. Although this effect is probably not relevant in population studies, we decided to include the OCT segmentation version as a covariate in all statistical analyses with OCT measures.…”

Section: Discussionmentioning

confidence: 99%

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Optical coherence tomography measures correlate with brain and spinal cord atrophy and multiple sclerosis disease‐related disability

Vidal-Jordana¹,

Pareto

Cabello³

et al. 2020

Euro J of Neurology

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Background and purpose: Both optical coherence tomography (OCT) and magnetic resonance imaging (MRI) volumetric measures have been postulated as potential biomarkers of multiple sclerosis (MS)-related disability. The aim of the study was to investigate the association between OCT and brain volume and spinal cord area (SCA) parameters in patients with relapsing MS and to assess their independent associations with disability. Methods: This was a cross-sectional analysis of 90 patients with MS who underwent OCT and MRI examination. Values of peripapillary retinal nerve fibre layer (pRNFL), ganglion cell/inner plexiform layer (GCIPL) and inner nuclear layer of eyes without previous optic neuritis were obtained. SCA and brain parenchymal fraction (BPF), grey and white matter fractions were obtained. Multivariable regression analyses were conducted with disability as dependent variable. Results: Lower pRNFL thickness and lower GCIPL volume as well as lower BPF, grey matter fraction and SCA were associated with a longer disease duration and a higher Expanded Disability Status Scale score. Lower pRNFL thickness and GCIPL volumes were associated with lower BPF and SCA. In the multivariable logistic regression analyses, pRNFL thickness and GCIPL volume outperformed MRI in predicting disability. Conclusions: The OCT measures correlate with brain and spinal cord atrophy and appear more closely associated with disability than MRI volumetric measures.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Optical coherence tomography measures correlate with brain and spinal cord atrophy and multiple sclerosis disease‐related disability

Vidal-Jordana¹,

Pareto

Cabello³

et al. 2020

Euro J of Neurology

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“…A common limitation of multi-centre studies is the difference in methodology among the participating centres. 29,30 The OCT device and software were the same for all centres (Spectralis) but one (Topcon). The data on retinal layer thickness of this particular centre were not significantly different from the other centres', and additional adjustment for a potential centre effect did not change any of the results (data not shown).…”

Section: Discussionmentioning

confidence: 99%

Retinal inner nuclear layer volume reflects inflammatory disease activity in multiple sclerosis; a longitudinal OCT study

Balk¹,

Coric

Knier

et al. 2019

Multiple Sclerosis Journal - Experimental, Translational and Cl

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Background The association of peripapillary retinal nerve fibre layer (pRNFL) and ganglion cell-inner plexiform layer (GCIPL) thickness with neurodegeneration in multiple sclerosis (MS) is well established. The relationship of the adjoining inner nuclear layer (INL) with inflammatory disease activity is less well understood. Objective The objective of this paper is to investigate the relationship of INL volume changes with inflammatory disease activity in MS. Methods In this longitudinal, multi-centre study, optical coherence tomography (OCT) and clinical data (disability status, relapses and MS optic neuritis (MSON)) were collected in 785 patients with MS (68.3% female) and 92 healthy controls (63.4% female) from 11 MS centres between 2010 and 2017 and pooled retrospectively. Data on pRNFL, GCIPL and INL were obtained at each centre. Results There was a significant increase in INL volume in eyes with new MSON during the study ( N = 61/1562, β = 0.01 mm 3 , p < .001). Clinical relapses (other than MSON) were significantly associated with increased INL volume (β = 0.005, p = .025). INL volume was independent of disease progression (β = 0.002 mm 3 , p = .474). Conclusion Our data demonstrate that an increase in INL volume is associated with MSON and the occurrence of clinical relapses. Therefore, INL volume changes may be useful as an outcome marker for inflammatory disease activity in MSON and MS treatment trials.

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“…The most important limitation is that we included OCT scans from only one device and one scan protocol, which limits generalizability of normative data (47). Particular caution should be taken when interpreting data acquired with various instruments, since comparative studies revealed that measurements are not directly comparable between different OCT devices (48, 49) and results can even be influenced by simple software upgrades (50). Currently, SAMIRIX is only able to work with the HEYEX Vol file format (*.vol files), which is only available through specific collaborative arrangements with Heidelberg Engineering, which is a clear limitation.…”

Section: Discussionmentioning

confidence: 99%

Normative Data and Minimally Detectable Change for Inner Retinal Layer Thicknesses Using a Semi-automated OCT Image Segmentation Pipeline

et al. 2019

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Neurodegenerative and neuroinflammatory diseases regularly cause optic nerve and retinal damage. Evaluating retinal changes using optical coherence tomography (OCT) in diseases like multiple sclerosis has thus become increasingly relevant. However, intraretinal segmentation, a necessary step for interpreting retinal changes in the context of these diseases, is not standardized and often requires manual correction. Here we present a semi-automatic intraretinal layer segmentation pipeline and establish normative values for retinal layer thicknesses at the macula, including dependencies on age, sex, and refractive error. Spectral domain OCT macular 3D volume scans were obtained from healthy participants using a Heidelberg Engineering Spectralis OCT. A semi-automated segmentation tool (SAMIRIX) based on an interchangeable third-party segmentation algorithm was developed and employed for segmentation, correction, and thickness computation of intraretinal layers. Normative data is reported from a 6 mm Early Treatment Diabetic Retinopathy Study (ETDRS) circle around the fovea. An interactive toolbox for the normative database allows surveying for additional normative data. We cross-sectionally evaluated data from 218 healthy volunteers (144 females/74 males, age 36.5 ± 12.3 years, range 18–69 years). Average macular thickness (MT) was 313.70 ± 12.02 μm, macular retinal nerve fiber layer thickness (mRNFL) 39.53 ± 3.57 μm, ganglion cell and inner plexiform layer thickness (GCIPL) 70.81 ± 4.87 μm, and inner nuclear layer thickness (INL) 35.93 ± 2.34 μm. All retinal layer thicknesses decreased with age. MT and GCIPL were associated with sex, with males showing higher thicknesses. Layer thicknesses were also positively associated with each other. Repeated-measurement reliability for the manual correction of automatic intraretinal segmentation results was excellent, with an intra-class correlation coefficient >0.99 for all layers. The SAMIRIX toolbox can simplify intraretinal segmentation in research applications, and the normative data application may serve as an expandable reference for studies, in which normative data cannot be otherwise obtained.

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Software updates of OCT segmentation algorithms influence longitudinal assessment of retinal atrophy

Cited by 7 publications

References 28 publications

Optical coherence tomography measures correlate with brain and spinal cord atrophy and multiple sclerosis disease‐related disability

Optical coherence tomography measures correlate with brain and spinal cord atrophy and multiple sclerosis disease‐related disability

Retinal inner nuclear layer volume reflects inflammatory disease activity in multiple sclerosis; a longitudinal OCT study

Normative Data and Minimally Detectable Change for Inner Retinal Layer Thicknesses Using a Semi-automated OCT Image Segmentation Pipeline

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