Comparability of automated drusen volume measurements in age-related macular degeneration: a MACUSTAR study report

Garzone, Davide; Terheyden, Jan Henrik; Morelle, Olivier; Wintergerst, Maximilian W. M.; Saßmannshausen, Marlene; Schmitz-Valckenberg, Steffen; Pfau, Maximilian; Thiele, Sarah; Poor, Stephen; Leal, Sérgio; Holz, Frank G.; Finger, Robert P.

doi:10.1038/s41598-022-26223-w

Cited by 5 publications

(5 citation statements)

References 28 publications

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“…Partly, this may have been due to our use of two-dimensional RPE-BM thickness as a surrogate measure of drusen load, discounting the potential effects of drusen load in three dimensions. 104 Additionally, in the future, larger study populations will enable further investigation into the spatial associations between retinal sensitivity and other (non-mutually exclusive) iAMD features such as atrophy subtypes reported in recent expert consensus meetings, 105 , 106 nascent geographic atrophy, 107 hyporeflective drusen cores, drusen calcification, and double-layer sign 108 – 111 and their potential interactive (multiplicative) effects. 112 – 114 Additionally, reliable methods of locally quantifying structural biomarkers such as pigmentary abnormalities, RPD, and even some atrophy subtypes may strengthen structure–function concordance.…”

Section: Discussionmentioning

confidence: 99%

Spatial Cluster Patterns of Retinal Sensitivity Loss in Intermediate Age-Related Macular Degeneration Features

Trinh,

Kalloniatis,

Alonso-Caneiro

et al. 2023

Trans. Vis. Sci. Tech.

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Purpose To examine spatial patterns of retinal sensitivity loss in the three key features of intermediate age-related macular degeneration (iAMD). Methods One-hundred individuals (53 iAMD, 47 normal) underwent 10-2 mesopic microperimetry testing in one eye. Pointwise sensitivities (dB) were corrected for age, sex, iAMD status, and co-presence of co-localized key iAMD features: drusen load, pigmentary abnormalities, and reticular pseudodrusen (RPD). Clusters (labeled by ranks of magnitude C −2 , C −1 , C 0 ) were derived from pointwise sensitivities and then assessed by quadrants and eccentricity/rings. Results Two clusters of decreased sensitivities were evident in iAMD versus normal: C −2 , −1.67 dB (95% CI (confidence intervals), −2.36 to −0.98; P < 0.0001); C −1 , −0.93 dB (95% CI, −1.5 to −0.36; P < 0.01). One cluster of decreased sensitivity was independently associated each with increased drusen load (13.57 µm increase per −1 dB; P < 0.0001), pigmentary abnormalities (C −1 : −2.23 dB; 95% CI, −3.36 to −1.1; P < 0.01), and RPD (C −1 : −1.07 dB; 95% CI, −2 to −0.14; P < 0.01). Sensitivity loss in iAMD was biased toward the superior and central macula ( P = 0.16 to <0.0001), aligning with structural distributions of features. However, sensitivity loss associated with drusen load also extended to the peripheral macula ( P < 0.0001) with paracentral sparing, which was discordant with the central distribution of drusen. Conclusions Drusen load, pigmentary abnormalities, and RPD are associated with patterns of retinal sensitivity loss commonly demonstrating superior and central bias. Results highlighted that a clinical focus on these three key iAMD features using structural measures alone does not capture the complex, spatial extent of vision-related functional impairment in iAMD. Translational Relevance Defining the spatial patterns of retinal sensitivity loss in iAMD can facilitate a targeted visual field protocol for iAMD assessment.

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Section: Discussionmentioning

confidence: 99%

Spatial Cluster Patterns of Retinal Sensitivity Loss in Intermediate Age-Related Macular Degeneration Features

Trinh,

Kalloniatis,

Alonso-Caneiro

et al. 2023

Trans. Vis. Sci. Tech.

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“…Nicht unerwähnt bleiben soll, dass mit dem Fortschritt digitaler bildgebender Verfahren digitale Farbfundusfotos anfänglich verwendete Ausdrucke und Lichtkästen abgelöst haben; Schablonen werden mittlerweile digital erstellt und auf die Farbfundusbilder überlagert. Da das manuelle Befunden und Klassifizieren komplex und extrem zeitaufwendig ist, gibt es intensive Bestrebungen, und auch schon gewisse Fortschritte, bei der Entwicklung von Strategien mittels künstlicher Intelligenz (KI) 15 , 16 . Dies verspricht die schnelle, automatisierte und objektive Analyse auch besonders großer Fundusfoto-Datensätze, wie sie in großen Studien generiert werden.…”

Section: Weiterentwicklungen Bei Der Erfassung Und Klassifikation Von...unclassified

“…Templates are now created digitally and superimposed on the color fundus images. Since manual assessment and classification is complex and extremely time-consuming, intense work is currently being done on developing strategies using artificial intelligence (AI), with some progress 15 , 16 . This promises fast, automated, and objective analysis, even of very large fundus photo datasets such as those generated in large-scale studies.…”

Section: Developments In the Detection And Classification Of Amd In E...mentioning

confidence: 99%

Altersbedingte Makuladegeneration in einer alternden Gesellschaft – aktuelle epidemiologische Forschungsansätze und Erkenntnisse

Brandl,

Finger,

Heid

et al. 2023

Klin Monbl Augenheilkd

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ZusammenfassungEpidemiologische Studien zur altersbedingten Makuladegeneration (AMD) liefern zentrale Daten zu den Häufigkeiten der Früh- bzw. Spätformen sowie zu assoziierten Risikofaktoren. Durch die stetig steigende Anzahl an populationsbasierten Querschnittstudien sowie longitudinalen Kohortenstudien in Deutschland und Europa mit publizierten Daten werden die Schätzer zur Prävalenz bzw. Inzidenz der AMD immer robuster. Sie zeigen allerdings, großenteils methodisch bedingte, Schwankungen. In der vorliegenden Übersichtsarbeit werden die aktuellsten publizierten epidemiologischen Maßzahlen zur AMD aus Deutschland und Zentral- bzw. Westeuropa zusammengetragen. Basierend auf diesen Daten sowie den Bevölkerungszahlen für Deutschland und Europa erfolgt eine Hochrechnung sowie Zukunftsprognose der Prävalenz. Die epidemiologische Evidenz zu AMD-assoziierten Risikofaktoren wird ebenfalls verbessert, vor allem durch Metaanalysen im Rahmen großer Konsortien mit entsprechend hohen Fallzahlen. Dieser Übersichtsartikel fasst neuste Erkenntnisse und daraus ableitbare Verhaltensempfehlungen als Präventionsansätze zusammen. Außerdem wird auf Therapieoptionen und zukünftige Herausforderungen eingegangen.

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“…Other devices have no automatic volume determinations (Spectralis, Heidelberg, Heidelberg, Germany) and drusen quantification volumes are dependent on OCT layer predictions and freely available nonapproved algorithms. 19 , 20 …”

Section: Introductionmentioning

confidence: 99%

Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression

Flores,

Fradinho,

Pereira

et al. 2023

Trans. Vis. Sci. Tech.

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Purpose Intermediate age-related macular degeneration (iAMD) is a risk factor for progression to advanced stages, but rates of progression vary between individuals. Predicting individual risk is advantageous for programing timely and effective treatment and for patient stratification into future clinical trials. Methods We conducted a prospective and noninterventional study following patients with iAMD for 24 months. Optical coherence tomography parameters related with drusen, hyper-reflective foci (HRF), presence of incomplete retinal pigment epithelial and outer retinal atrophy (iRORA) and ellipsoid zone (EZ) status were explored at the baseline. Patients were reclassified at the end of the follow-up period and divided according to their progression. A risk prediction model for progression to late AMD was developed. Results A total of 135 patients were enrolled in the study and 30.4% developed late disease. A multivariate logistic regression model was created using those optical coherence tomography parameters, further optimized by backward feature elimination. Parameters offering the best fit in prediction progression were presence of iRORA, EZ status, drusen area and presence of HRF. iRORA is the feature that provides a higher probability of developing late AMD (odds ratio, 12.91; P = 0.000), followed by EZ disruption status (odds ratio, 3.54; P = 0.0018). The area under the receiver operating characteristic curve calculated for the testing set was 0.77 (95% confidence interval, 0.56–0.98). Conclusions The combination of iRORA and EZ disruption constitute a high risk of progression to complete RORA within 2 years. Translational Relevance We propose a practical and useful model to help clinicians in their daily practice in predicting individual progression to advanced AMD.

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Comparability of automated drusen volume measurements in age-related macular degeneration: a MACUSTAR study report

Cited by 5 publications

References 28 publications

Spatial Cluster Patterns of Retinal Sensitivity Loss in Intermediate Age-Related Macular Degeneration Features

Spatial Cluster Patterns of Retinal Sensitivity Loss in Intermediate Age-Related Macular Degeneration Features

Altersbedingte Makuladegeneration in einer alternden Gesellschaft – aktuelle epidemiologische Forschungsansätze und Erkenntnisse

Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression

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