ORCID Profile
0000-0002-9768-014X
Current Organisations
Charite- Universitaetsmedizin Berlin
,
Eli Lilly and Company
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Publisher: Wiley
Date: 19-05-2021
DOI: 10.1002/ACN3.51320
Abstract: Artificial intelligence (AI)‐based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data in neurology is optical coherence tomography (OCT). We highlight that OCT changes observed in the retina, as a window to the brain, are small, requiring rigorous quality control pipelines. There are existing tools for this purpose. Firstly, there are human‐led validated consensus quality control criteria (OSCAR‐IB) for OCT. Secondly, these criteria are embedded into OCT reporting guidelines (APOSTEL). The use of the described annotation of failed OCT scans advances machine learning. This is illustrated through the present review of the advantages and disadvantages of AI‐based applications to OCT data. The neurological conditions reviewed here for the use of big data include Alzheimer disease, stroke, multiple sclerosis (MS), Parkinson disease, and epilepsy. It is noted that while big data is relevant for AI, ownership is complex. For this reason, we also reached out to involve representatives from patient organizations and the public domain in addition to clinical and research centers. The evidence reviewed can be grouped in a five‐point expansion of the OSCAR‐IB criteria to embrace AI (OSCAR‐AI). The review concludes by specific recommendations on how this can be achieved practically and in compliance with existing guidelines.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 28-09-2020
Publisher: SAGE Publications
Date: 11-08-2021
DOI: 10.1177/13524585211032801
Abstract: Decreased motion perception has been suggested as a marker for visual pathway demyelination in optic neuritis (ON) and/or multiple sclerosis (MS). To examine the influence of neuro-axonal damage on motion perception in MS and neuromyelitis optica spectrum disorders (NMOSD). We analysed motion perception with numbers-from-motion (NFM), visual acuity, (multifocal (mf)) VEP, optical coherence tomography in patients with MS ( n = 38, confirmatory cohort n = 43), NMOSD ( n = 13) and healthy controls ( n = 33). NFM was lower compared with controls in MS ( B = −12.37, p 0.001) and NMOSD ( B = −34.5, p 0.001). NFM was lower in ON than in non-ON eyes ( B = −30.95, p = 0.041) in NMOSD, but not MS. In MS and NMOSD, lower NFM was associated with worse visual acuity ( B = −139.4, p 0.001/ B = −77.2, p 0.001) and low contrast letter acuity ( B = 0.99, p = 0.002/ B = 1.6, p 0.001), thinner peripapillary retinal nerve fibre layer ( B = 1.0, p 0.001/ B = 0.92, p = 0.016) and ganglion cell/inner plexiform layer ( B = 64.8, p 0.001/ B = 79.5, p = 0.006), but not with VEP P100 latencies. In the confirmatory MS cohort, lower NFM was associated with thinner retinal nerve fibre layer ( B = 1.351, p 0.001) and increased mfVEP P100 latencies ( B = −1.159, p 0.001). Structural neuro-axonal visual pathway damage is an important driver of motion perception impairment in MS and NMOSD.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 13-07-2021
DOI: 10.1212/WNL.0000000000012125
Abstract: To update the consensus recommendations for reporting of quantitative optical coherence tomography (OCT) study results, thus revising the previously published Advised Protocol for OCT Study Terminology and Elements (APOSTEL) recommendations. To identify studies reporting quantitative OCT results, we performed a PubMed search for the terms “quantitative” and “optical coherence tomography” from 2015 to 2017. Corresponding authors of the identified publications were invited to provide feedback on the initial APOSTEL recommendations via online surveys following the principle of a modified Delphi method. The results were evaluated and discussed by a panel of experts and changes to the initial recommendations were proposed. A final survey was recirculated among the corresponding authors to obtain a majority vote on the proposed changes. A total of 116 authors participated in the surveys, resulting in 15 suggestions, of which 12 were finally accepted and incorporated into an updated 9-point checklist. We harmonized the nomenclature of the outer retinal layers, added the exact area of measurement to the description of volume scans, and suggested reporting device-specific features. We advised to address potential bias in manual segmentation or manual correction of segmentation errors. References to specific reporting guidelines and room light conditions were removed. The participants' consensus with the recommendations increased from 80% for the previous APOSTEL version to greater than 90%. The modified Delphi method resulted in an expert-led guideline (evidence Class III Grading of Recommendations, Assessment, Development and Evaluations [GRADE] criteria) concerning study protocol, acquisition device, acquisition settings, scanning protocol, funduscopic imaging, postacquisition data selection, postacquisition analysis, nomenclature and abbreviations, and statistical approach. It will be essential to update these recommendations to new research and practices regularly.
No related grants have been discovered for Alexander Ulrich Brandt.