Progression du champ visuel dans le glaucome : intérêt de l’analyse de l’évolution des clusters

Bresson-Dumont, H.; Hatton, Jimmi; Foucher, Juliette; Fonteneau, Mathieu

doi:10.1016/j.jfo.2011.10.011

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…In this software, 10 anatomy-based VF clusters are drawn (see Figure 1), where the test points follow the nerve fiber bundle and the fiber density. The cluster analysis gives useful information about the detection and progression of VF damage focusing on localized VF areas that show a damage progression although there is a small increase of mean defect (MD) [12][13][14] in early glaucoma. 15 In addition, cluster analysis is less affected by short-and long-term fluctuation 13 of VFs.…”

Section: Introductionmentioning

confidence: 99%

Cluster analysis of computerized visual field and optical coherence tomography–ganglion cell complex defects in high intraocular pressure patients or early stage glaucoma

Perdicchi¹,

Paula²,

Sordi³

et al. 2019

European Journal of Ophthalmology

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Purpose: The aim of the study is to evaluate the relationship between functional defects shown by cluster analysis of computerized visual field and anatomic defects from optical coherence tomography–ganglion cell complex examination in ocular hypertension or eyes affected by glaucoma. Methods: 205 eyes affected by ocular hypertension (intraocular pressure > 22 mmHg) or early stage glaucoma were enrolled. The age of the patients ranged from 26 to 87 years (average: 61.83 ± 1.54 years). Computerized 30° visual field (Octopus G1x Dynamic strategy) and optical coherence tomography–ganglion cell complex (I-Vue Optovue) analyses were performed for each eye selected; 68 eyes were tested and retested from two to seven times for a total of 320 visual fields and 320 optical coherence tomography–ganglion cell complex examinations. The visual field was considered abnormal with a mean defect < –2 and loss variance > 6. The optical coherence tomography–ganglion cell complex was considered abnormal with a significant focal loss volume (p < 5%) and/or a significant thinning of total, superior, or inferior thickness (p < 5%). Four different groups of examinations were created according to the results of visual field and ganglion cell complex: normal visual field and normal ganglion cell complex (group 1), abnormal visual field and abnormal ganglion cell complex (group 2), normal visual field and abnormal ganglion cell complex (group 3), and abnormal visual field and normal ganglion cell complex (group 4). The cluster analysis of visual fields (EyeSuite software Interzeag CH) was performed only in the visual field of group 3, and the correlation between cluster values and topographical changes at optical coherence tomography–ganglion cell complex was analyzed. Results: The results of the ganglion cell complex and visual field examinations matched 247 (77.19%) times. In 143 cases, the examinations belonged to group 1, in 104 to group 2, in 23 to group 3, and, finally, in 50 to group 4. The visual field cluster analysis performed on group 3 showed that the correlation between optical coherence tomography–ganglion cell complex and visual field cluster analysis defects was 100% (both the exams altered). In 72% of them, there was also a topographical correspondence between the visual field and optical coherence tomography–ganglion cell complex defects. Conclusion: In the early stages of glaucoma, the visual field cluster analysis seems to be useful to detect some focal defects that can be otherwise underestimated when globally considering the visual field. In group 3, where the conventional analysis of visual field was normal while the optical coherence tomography–ganglion cell complex exam was abnormal, the visual field cluster analysis showed a topographical correlation with optical coherence tomography–ganglion cell complex defects in more than 70% of the examinations performed. In addition, the patients with abnormal visual field and normal optical coherence tomography–ganglion cell complex were older than those with normal visual field and abnormal optical coherence tomography–ganglion cell complex (66.44 ± 3.51 vs 57.04 ± 5.96 years, p < 0.001 (0.0002)). These results confirm that the reliability of a visual field examination is subjective and decreases with age because of its difficulty and the personal compliance of the patient toward this examination.

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Section: Introductionmentioning

confidence: 99%

Cluster analysis of computerized visual field and optical coherence tomography–ganglion cell complex defects in high intraocular pressure patients or early stage glaucoma

Perdicchi¹,

Paula²,

Sordi³

et al. 2019

European Journal of Ophthalmology

View full text Add to dashboard Cite

show abstract

“…Because models based on point-wise approaches separately analyze discrete VF locations, these models have inherent difficulty incorporating such correlations among the locations. Some recently developed regression models capture spatial characteristics by analyzing clusters rather than individual points, either following point-wise regression [13] or prior to regression [1617]. Also notable is the application of a Monte-Carlo simulation in analysis of spatial correlations in retinal sensitivity changes [18].…”

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confidence: 99%

Spatial and Temporal Characteristics of Visual Field Progression in Glaucoma Assessed by Parallel Factor Analysis

Kim

Shon

Sung

2019

Korean J Ophthalmol

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Purpose To explore spatial and temporal characteristics of glaucomatous visual field (VF) progression through multi-way decomposition of data. Methods Six serial VF exams with intervals of 6.0 ± 1.0 months in 121 pre-perimetric glaucoma eyes and 80 perimetric glaucoma eyes were arranged into a three-dimensional cube. The data were decomposed using parallel factor analysis. Results Three tri-linear components (i.e., spatial scores, temporal loadings, and subject-specific loadings) were identified. Component 1 clearly showed differences between superior and inferior hemispheres, linear trends over time, and wide variability in perimetric glaucoma. Findings were compatible with well-known characteristics of glaucomatous VF defects. Component 2 showed nasal and central areas in contrast with superior, inferior, and temporal peripheral locations, whereas component 3 showed a contrast between nasal and temporal hemispheres. Both components 2 and 3 failed to show clear temporal trends. Conclusions Identification of spatio-temporal patterns shows new possibilities for a multi-way decomposition methodology for earlier diagnosis and prediction of glaucomatous VF progression.

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Progression du champ visuel dans le glaucome : intérêt de l’analyse de l’évolution des clusters

Cited by 2 publications

References 15 publications

Cluster analysis of computerized visual field and optical coherence tomography–ganglion cell complex defects in high intraocular pressure patients or early stage glaucoma

Cluster analysis of computerized visual field and optical coherence tomography–ganglion cell complex defects in high intraocular pressure patients or early stage glaucoma

Spatial and Temporal Characteristics of Visual Field Progression in Glaucoma Assessed by Parallel Factor Analysis

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