Optische Kohärenztomografie (OCT) – ein neues diagnostisches Instrument in der Psychiatrie?

Schönfeldt‐Lecuona, Carlos; Schmidt, Arno; Pinkhardt, Elmar H.; Lauda, Florían; Connemann, Bernhard J.; Freudenmann, Roland W.; Gahr, Maximilian

doi:10.1055/s-0034-1385024

Cited by 8 publications

(4 citation statements)

References 33 publications

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“…After duplicates were manually removed, the search retrieved 591 references, of which 32 systematic reviews were obtained in full text. Eighteen of these were excluded for 1 or more of the following reasons: published before 2016 (7 reviews); used surrogates of dementia as a target condition (1 review); used ocular conditions as biomarker, rather than test technique results (2 reviews); and absence of meta-analyses (10 reviews). Five reviews published before 2016 reported on OCT and 2 on retinal microvascular changes .…”

Section: Resultsmentioning

confidence: 99%

“…Eighteen of these were excluded for 1 or more of the following reasons: published before 2016 (7 reviews); used surrogates of dementia as a target condition (1 review); used ocular conditions as biomarker, rather than test technique results (2 reviews); and absence of meta-analyses (10 reviews). Five reviews published before 2016 reported on OCT and 2 on retinal microvascular changes . Consistent with our expectations, the number of included studies in these reviews was much lower than that in the most recent systematic reviews on the same techniques.…”

Section: Resultsmentioning

confidence: 99%

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Ocular Biomarkers for Alzheimer Disease Dementia

et al. 2023

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ImportanceSeveral ocular biomarkers have been proposed for the early detection of Alzheimer disease (AD) and mild cognitive impairment (MCI), particularly fundus photography, optical coherence tomography (OCT), and OCT angiography (OCTA).ObjectiveTo perform an umbrella review of systematic reviews to assess the diagnostic accuracy of ocular biomarkers for early diagnosis of Alzheimer disease.Data SourcesMEDLINE, Embase, and PsycINFO were searched from January 2000 to November 2021. The references of included reviews were also searched.Study SelectionSystematic reviews investigating the diagnostic accuracy of ocular biomarkers to detect AD and MCI, in secondary care or memory clinics, against established clinical criteria or clinical judgment.Data Extraction and SynthesisThe Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline checklist was followed and the Risk Of Bias in Systematic reviews tool was used to assess review quality.Main Outcomes and MeasuresThe prespecified outcome was the accuracy of ocular biomarkers for diagnosing AD and MCI. The area under the curve (AUC) was derived from standardized mean difference.ResultsFrom the 591 titles, 14 systematic reviews were included (median [range] number of studies in each review, 14 [5-126]). Only 4 reviews were at low risk of bias on all Risk of Bias in Systematic Reviews domains. The imaging-derived parameters with the most evidence for detecting AD compared with healthy controls were OCT peripapillary retinal nerve fiber layer thickness (38 studies including 1883 patients with AD and 2510 controls; AUC = 0.70; 95% CI, 0.53-0.79); OCTA foveal avascular zone (5 studies including 177 patients with AD and 371 controls; AUC = 0.73; 95% CI, 0.50-0.89); and saccadic eye movements prosaccade latency (30 studies including 651 patients with AD/MCI and 771 controls; AUC = 0.64; 95% CI, 0.58-0.69). Antisaccade error was investigated in fewer studies (12 studies including 424 patients with AD/MCI and 382 controls) and yielded the best accuracy (AUC = 0.79; 95% CI, 0.70-0.88).Conclusions and RelevanceThis umbrella review has highlighted limitations in design and reporting of the existing research on ocular biomarkers for diagnosing AD. Parameters with the best evidence showed poor to moderate diagnostic accuracy in cross-sectional studies. Future longitudinal studies should investigate whether changes in OCT and OCTA measurements over time can yield accurate predictions of AD onset.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Ocular Biomarkers for Alzheimer Disease Dementia

et al. 2023

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“…[12][13][14] OCT has also shown efficacy as a diagnostic tool in psychiatric disorders, such as schizophrenia and MDD. [15][16][17][18] However, the relationship between retinal changes measured by OCT and depression remains unknown. The present study aims to conduct a systematic review and meta-analysis to investigate this association and also identify potential diagnostic biomarkers of depression through OCT.…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

“…Several studies have also employed OCT to reveal that retinal layer thickness is reduced in patients with depression 12–14. OCT has also shown efficacy as a diagnostic tool in psychiatric disorders, such as schizophrenia and MDD 15–18…”

Section: Introductionmentioning

confidence: 99%

Role of optical coherence tomography in depression detection: a protocol of systematic review and meta-analysis

et al. 2023

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IntroductionOptical coherence tomography (OCT) is a non-invasive approach for detecting changes in the retinal layers, which may also reflect changes in brain structure and function. As one of the leading causes of disability worldwide, depression has been associated with alteration of brain neuroplasticity. However, the role of OCT measurements in detecting depression remains unknown. This study aims to employ a systematic review and meta-analysis approach to explore ocular biomarkers measured by OCT for detecting depression.Methods and analysisWe will search studies describing the relationship between OCT and depression across seven electronic databases, and retrieve articles published from database inception to date. We will also manually search grey literature and reference lists included in the retrieved studies. Two independent reviewers will screen studies, extract data and assess risk of bias. Target outcomes will include peripapillary retinal nerve fibre layer thickness, macular ganglion cell complex thickness and macular volume, as well as other related indicators. Next, we will conduct subgroup analysis and meta-regression to explore study heterogeneity, then perform sensitivity analysis to investigate the robustness of the synthesised results. Meta-analysis will be performed using Review Manager (V.5.4.1) and STATA (V.12.0), and the certainty of evidence will be graded according to the Grading of Recommendations Assessment, Development and Evaluation system.Ethics and disseminationEthics approval is not necessary because the data used in this systematic review and meta-analysis will be extracted from published studies. Study results will be disseminated by publishing our findings in a peer-reviewed journal.

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