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  1. Book ; Thesis: A computational model of motor cognition for iconic gesture processing

    Sadeghipour, Amir

    (Berichte aus der Robotik)

    2015  

    Author's details Amir Sadeghipour
    Series title Berichte aus der Robotik
    Language English
    Size 298 S, 75 farb. Ill, 240 mm x 170 mm, 444 g
    Edition 1. Aufl
    Publisher Shaker
    Publishing place Herzogenrath
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Diss.--Universität Bielefeld, 2014
    ISBN 9783844034516 ; 384403451X
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  2. Article ; Online: Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography.

    Waldstein, Sebastian M / Vogl, Wolf-Dieter / Bogunovic, Hrvoje / Sadeghipour, Amir / Riedl, Sophie / Schmidt-Erfurth, Ursula

    JAMA ophthalmology

    2020  Volume 138, Issue 7, Page(s) 740–747

    Abstract: Importance: The morphologic changes and their pathognomonic distribution in progressing age-related macular degeneration (AMD) are not well understood.: Objectives: To characterize the pathognomonic distribution and time course of morphologic ... ...

    Abstract Importance: The morphologic changes and their pathognomonic distribution in progressing age-related macular degeneration (AMD) are not well understood.
    Objectives: To characterize the pathognomonic distribution and time course of morphologic patterns in AMD and to quantify changes distinctive for progression to macular neovascularization (MNV) and macular atrophy (MA).
    Design, setting, and participants: This cohort study included optical coherence tomography (OCT) volumes from study participants with early or intermediate AMD in the fellow eye in the HARBOR (A Study of Ranibizumab Administered Monthly or on an As-needed Basis in Patients With Subfoveal Neovascular Age-Related Macular Degeneration) trial. Patients underwent imaging monthly for 2 years (July 1, 2009, to August 31, 2012) following a standardized protocol. Data analysis was performed from June 1, 2018, to January 21, 2020.
    Main outcomes and measures: To obtain topographic correspondence between patients and over time, all scans were mapped into a joint reference frame. The time of progression to MNV and MA was established, and drusen volumes and hyperreflective foci (HRF) volumes were automatically segmented in 3 dimensions using validated artificial intelligence algorithms. Topographically resolved population means of these markers were constructed by averaging quantified drusen and HRF maps in the patient subgroups.
    Results: Of 1097 patients enrolled in HARBOR, 518 (mean [SD] age, 78.1 [8.2] years; 309 [59.7%] female) had early or intermediate AMD in the fellow eye at baseline. During the 24-month follow-up period, 135 (26%) eyes developed MNV, 50 eyes (10%) developed MA, and 333 (64%) eyes did not progress to advanced AMD. Drusen and HRF had distinct topographic patterns. Mean drusen thickness at the fovea was 29.6 μm (95% CI, 20.2-39.0 μm) for eyes progressing to MNV, 17.2 μm (95% CI, 9.8-24.6 μm) for eyes progressing to MA, and 17.1 μm (95% CI, 12.5-21.7 μm) for eyes without disease progression. At 0.5-mm eccentricity, mean drusen thickness was 25.8 μm (95% CI, 19.1-32.5 μm) for eyes progressing to MNV, 21.7 μm (95% CI, 14.6-28.8 μm) for eyes progressing to MA, and 14.4 μm (95% CI, 11.2-17.6 μm) for eyes without disease progression. The mean HRF thickness at the foveal center was 0.072 μm (95% CI, 0-0.152 μm) for eyes progressing to MNV, 0.059 μm (95% CI, 0-0.126 μm) for eyes progressing to MA, and 0.044 μm (95% CI, 0.007-0.081) for eyes without disease progression. At 0.5-mm eccentricity, the largest mean HRF thickness was seen in eyes progressing to MA (0.227 μm; 95% CI, 0.104-0.349 μm) followed by eyes progressing to MNV (0.161 μm; 95% CI, 0.101-0.221 μm) and eyes without disease progression (0.085 μm; 95% CI, 0.058-0.112 μm).
    Conclusions and relevance: In this study, drusen and HRF represented imaging biomarkers of disease progression in AMD, demonstrating distinct topographic patterns over time that differed between eyes progressing to MNV, eyes progressing to MA, or eyes without disease progression. Automated localization and precise quantification of these factors may help to develop reliable methods of predicting future disease progression.
    MeSH term(s) Aged ; Aged, 80 and over ; Angiogenesis Inhibitors/administration & dosage ; Artificial Intelligence ; Disease Progression ; Female ; Fluorescein Angiography ; Follow-Up Studies ; Fundus Oculi ; Humans ; Intravitreal Injections ; Macular Degeneration/complications ; Macular Degeneration/diagnosis ; Macular Degeneration/drug therapy ; Male ; Prognosis ; Ranibizumab/administration & dosage ; Retina/pathology ; Retinal Drusen ; Tomography, Optical Coherence/methods
    Chemical Substances Angiogenesis Inhibitors ; Ranibizumab (ZL1R02VT79)
    Language English
    Publishing date 2020-05-06
    Publishing country United States
    Document type Journal Article ; Multicenter Study ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2701705-9
    ISSN 2168-6173 ; 2168-6165
    ISSN (online) 2168-6173
    ISSN 2168-6165
    DOI 10.1001/jamaophthalmol.2020.1376
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The impact of structural optical coherence tomography changes on visual function in retinal vein occlusion.

    Michl, Martin / Liu, Xuhui / Kaider, Alexandra / Sadeghipour, Amir / Gerendas, Bianca S / Schmidt-Erfurth, Ursula

    Acta ophthalmologica

    2020  Volume 99, Issue 4, Page(s) 418–426

    Abstract: Purpose: We aimed to determine the correlation between optical coherence tomography (OCT)- and demographic features and baseline best corrected visual acuity (BCVA) in treatment-naïve patients with retinal vein occlusion (RVO).: Methods: This was a ... ...

    Abstract Purpose: We aimed to determine the correlation between optical coherence tomography (OCT)- and demographic features and baseline best corrected visual acuity (BCVA) in treatment-naïve patients with retinal vein occlusion (RVO).
    Methods: This was a cross-sectional posthoc analysis of OCT images that included RVO patients from two prospective, open-label, multicentre studies. The morphological grading was done manually, in the standardized setting of a reading centre. Main outcome measure was the estimated difference in Early Treatment Diabetic Retinopathy Study letters associated with each individual biomarker.
    Results: Included were 381/301 treatment-naïve patients with BRVO/CRVO. For BRVO, statistically significant correlations with BCVA were seen for a 100 µm increase in central subfield thickness (CST; -3.1 letters), intraretinal cysts at centre point (CP; +4.1), subretinal fluid (SRF) at CP (+3.0) and hyperreflective foci (HRF) at the central B-scan (-2.2). In CRVO, a 100 µm increase in CST was associated with a loss of -3.4 letters. In the total cohort, 100 µm increase in CST, SRF at CP and HRF at the central B-scan correlated with a difference of -3.2,+3.2 and -2.0 letters. A 10-year increase in age and female gender yielded a -2.0 and -2.5 letter decrease in the total cohort. Adjusted multiple R
    Conclusions: Of all parameters studied, only CST and age were consistently associated with worse BCVA in treatment-naïve RVO patients. Morphology on OCT explained only a modest part of functional loss in this patient cohort.
    MeSH term(s) Aged ; Angiogenesis Inhibitors/administration & dosage ; Cross-Sectional Studies ; Female ; Humans ; Intravitreal Injections ; Male ; Prospective Studies ; Ranibizumab/administration & dosage ; Retinal Vein Occlusion/diagnosis ; Retinal Vein Occlusion/drug therapy ; Retinal Vessels/diagnostic imaging ; Retinal Vessels/drug effects ; Tomography, Optical Coherence/methods ; Vascular Endothelial Growth Factor A/antagonists & inhibitors ; Visual Acuity/physiology
    Chemical Substances Angiogenesis Inhibitors ; Vascular Endothelial Growth Factor A ; Ranibizumab (ZL1R02VT79)
    Language English
    Publishing date 2020-09-30
    Publishing country England
    Document type Journal Article ; Multicenter Study
    ZDB-ID 2408333-1
    ISSN 1755-3768 ; 1755-375X
    ISSN (online) 1755-3768
    ISSN 1755-375X
    DOI 10.1111/aos.14621
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Conference proceedings: Monitoring der Krankheitsaktivität und des therapeutischen Ansprechens der Geographischen Atrophie in der optischen Kohärenztomographie

    Kostolna, Klaudia / Mai, Julia / Riedl, Sophie / Lachinov, Dimitrii / Sadeghipour, Amir / Vogl, Wolf-Dieter / Bogunovic, Hrvoje / Schmidt-Erfurth, Ursula

    2023  , Page(s) FP 3.11

    Event/congress 35. Internationaler Kongress der Deutschen Ophthalmochirurgie (DOC); Nürnberg; 2023
    Keywords Medizin, Gesundheit
    Publishing date 2023-06-13
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/23doc028
    Database German Medical Science

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  5. Article ; Online: VALIDATION OF AN AUTOMATED FLUID ALGORITHM ON REAL-WORLD DATA OF NEOVASCULAR AGE-RELATED MACULAR DEGENERATION OVER FIVE YEARS.

    Gerendas, Bianca S / Sadeghipour, Amir / Michl, Martin / Goldbach, Felix / Mylonas, Georgios / Gruber, Anastasiia / Alten, Thomas / Leingang, Oliver / Sacu, Stefan / Bogunovic, Hrvoje / Schmidt-Erfurth, Ursula

    Retina (Philadelphia, Pa.)

    2022  Volume 42, Issue 9, Page(s) 1673–1682

    Abstract: Background/purpose: To apply an automated deep learning automated fluid algorithm on data from real-world management of patients with neovascular age-related macular degeneration for quantification of intraretinal/subretinal fluid volumes in optical ... ...

    Abstract Background/purpose: To apply an automated deep learning automated fluid algorithm on data from real-world management of patients with neovascular age-related macular degeneration for quantification of intraretinal/subretinal fluid volumes in optical coherence tomography images.
    Methods: Data from the Vienna Imaging Biomarker Eye Study (VIBES, 2007-2018) were analyzed. Databases were filtered for treatment-naive neovascular age-related macular degeneration with a baseline optical coherence tomography and at least one follow-up and 1,127 eyes included. Visual acuity and optical coherence tomography at baseline, Months 1 to 3/Years 1 to 5, age, sex, and treatment number were included. Artificial intelligence and certified manual grading were compared in a subanalysis of 20%. Main outcome measures were fluid volumes.
    Results: Intraretinal/subretinal fluid volumes were maximum at baseline (intraretinal fluid: 21.5/76.6/107.1 nL; subretinal fluid 13.7/86/262.5 nL in the 1/3/6-mm area). Intraretinal fluid decreased to 5 nL at M1-M3 (1-mm) and increased to 11 nL (Y1) and 16 nL (Y5). Subretinal fluid decreased to a mean of 4 nL at M1-M3 (1-mm) and remained stable below 7 nL until Y5. Intraretinal fluid was the only variable that reflected VA change over time. Comparison with human expert readings confirmed an area under the curve of >0.9.
    Conclusion: The Vienna Fluid Monitor can precisely quantify fluid volumes in optical coherence tomography images from clinical routine over 5 years. Automated tools will introduce precision medicine based on fluid guidance into real-world management of exudative disease, improving clinical outcomes while saving resources.
    MeSH term(s) Algorithms ; Angiogenesis Inhibitors/therapeutic use ; Artificial Intelligence ; Child, Preschool ; Humans ; Intravitreal Injections ; Macular Degeneration/drug therapy ; Ranibizumab/therapeutic use ; Subretinal Fluid ; Tomography, Optical Coherence/methods ; Vascular Endothelial Growth Factor A ; Wet Macular Degeneration/diagnosis ; Wet Macular Degeneration/drug therapy
    Chemical Substances Angiogenesis Inhibitors ; Vascular Endothelial Growth Factor A ; Ranibizumab (ZL1R02VT79)
    Language English
    Publishing date 2022-06-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603192-4
    ISSN 1539-2864 ; 0275-004X
    ISSN (online) 1539-2864
    ISSN 0275-004X
    DOI 10.1097/IAE.0000000000003557
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Unbiased identification of novel subclinical imaging biomarkers using unsupervised deep learning.

    Waldstein, Sebastian M / Seeböck, Philipp / Donner, René / Sadeghipour, Amir / Bogunović, Hrvoje / Osborne, Aaron / Schmidt-Erfurth, Ursula

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 12954

    Abstract: Artificial intelligence has recently made a disruptive impact in medical imaging by successfully automatizing expert-level diagnostic tasks. However, replicating human-made decisions may inherently be biased by the fallible and dogmatic nature of human ... ...

    Abstract Artificial intelligence has recently made a disruptive impact in medical imaging by successfully automatizing expert-level diagnostic tasks. However, replicating human-made decisions may inherently be biased by the fallible and dogmatic nature of human experts, in addition to requiring prohibitive amounts of training data. In this paper, we introduce an unsupervised deep learning architecture particularly designed for OCT representations for unbiased, purely data-driven biomarker discovery. We developed artificial intelligence technology that provides biomarker candidates without any restricting input or domain knowledge beyond raw images. Analyzing 54,900 retinal optical coherence tomography (OCT) volume scans of 1094 patients with age-related macular degeneration, we generated a vocabulary of 20 local and global markers capturing characteristic retinal patterns. The resulting markers were validated by linking them with clinical outcomes (visual acuity, lesion activity and retinal morphology) using correlation and machine learning regression. The newly identified features correlated well with specific biomarkers traditionally used in clinical practice (r up to 0.73), and outperformed them in correlating with visual acuity ([Formula: see text] compared to [Formula: see text] for conventional markers), despite representing an enormous compression of OCT imaging data (67 million voxels to 20 features). In addition, our method also discovered hitherto unknown, clinically relevant biomarker candidates. The presented deep learning approach identified known as well as novel medical imaging biomarkers without any prior domain knowledge. Similar approaches may be worthwhile across other medical imaging fields.
    MeSH term(s) Biomarkers ; Deep Learning ; Female ; Humans ; Macular Degeneration/diagnostic imaging ; Male ; Retina/diagnostic imaging ; Tomography, Optical Coherence
    Chemical Substances Biomarkers
    Language English
    Publishing date 2020-07-31
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-69814-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Automated quantification of macular fluid in retinal diseases and their response to anti-VEGF therapy.

    Michl, Martin / Fabianska, Maria / Seeböck, Philipp / Sadeghipour, Amir / Haj Najeeb, Bilal / Bogunovic, Hrvoje / Schmidt-Erfurth, Ursula Margarethe / Gerendas, Bianca S

    The British journal of ophthalmology

    2020  Volume 106, Issue 1, Page(s) 113–120

    Abstract: Aim: To objectively assess disease activity and treatment response in patients with retinal vein occlusion (RVO), neovascular age-related macular degeneration (nAMD) and centre-involved diabetic macular oedema (DME), using artificial intelligence-based ... ...

    Abstract Aim: To objectively assess disease activity and treatment response in patients with retinal vein occlusion (RVO), neovascular age-related macular degeneration (nAMD) and centre-involved diabetic macular oedema (DME), using artificial intelligence-based fluid quantification.
    Methods: Posthoc analysis of 2311 patients (11 151 spectral-domain optical coherence tomography volumes) from five clinical, multicentre trials, who received a flexible antivascular endothelial growth factor (anti-VEGF) therapy over a 12-month period. Fluid volumes were measured with a deep learning algorithm at baseline/months 1, 2, 3 and 12, for three concentric circles with diameters of 1, 3 and 6 mm (fovea, paracentral ring and pericentral ring), as well as four sectors surrounding the fovea (superior, nasal, inferior and temporal).
    Results: In each disease, at every timepoint, most intraretinal fluid (IRF) per square millimetre was present at the fovea, followed by the paracentral ring and pericentral ring (p<0.0001). While this was also the case for subretinal fluid (SRF) in RVO/DME (p<0.0001), patients with nAMD showed more SRF in the paracentral ring than at the fovea up to month 3 (p<0.0001). Between sectors, patients with RVO/DME showed the highest IRF volumes temporally (p<0.001/p<0.0001). In each disease, more SRF was consistently found inferiorly than superiorly (p<0.02). At month 1/12, we measured the following median reductions of initial fluid volumes. For IRF: RVO, 95.9%/97.7%; nAMD, 91.3%/92.8%; DME, 37.3%/69.9%. For SRF: RVO, 94.7%/97.5%; nAMD, 98.4%/99.8%; DME, 86.3%/97.5%.
    Conclusion: Fully automated localisation and quantification of IRF/SRF over time shed light on the fluid dynamics in each disease. There is a specific anatomical response of IRF/SRF to anti-VEGF therapy in all diseases studied.
    MeSH term(s) Angiogenesis Inhibitors/therapeutic use ; Artificial Intelligence ; Endothelial Growth Factors ; Humans ; Intravitreal Injections ; Macular Edema/diagnosis ; Macular Edema/drug therapy ; Macular Edema/metabolism ; Ranibizumab/therapeutic use ; Retinal Vein Occlusion/diagnosis ; Retinal Vein Occlusion/drug therapy ; Retinal Vein Occlusion/metabolism ; Subretinal Fluid ; Tomography, Optical Coherence/methods ; Vascular Endothelial Growth Factor A/metabolism ; Visual Acuity ; Wet Macular Degeneration/diagnosis ; Wet Macular Degeneration/drug therapy ; Wet Macular Degeneration/metabolism
    Chemical Substances Angiogenesis Inhibitors ; Endothelial Growth Factors ; Vascular Endothelial Growth Factor A ; Ranibizumab (ZL1R02VT79)
    Language English
    Publishing date 2020-10-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 80078-8
    ISSN 1468-2079 ; 0007-1161
    ISSN (online) 1468-2079
    ISSN 0007-1161
    DOI 10.1136/bjophthalmol-2020-317416
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Artificial intelligence in retina.

    Schmidt-Erfurth, Ursula / Sadeghipour, Amir / Gerendas, Bianca S / Waldstein, Sebastian M / Bogunović, Hrvoje

    Progress in retinal and eye research

    2018  Volume 67, Page(s) 1–29

    Abstract: Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in a ... ...

    Abstract Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in a comprehensive manner using artificial intelligence (AI). Methods based on machine learning (ML) and particularly deep learning (DL) are able to identify, localize and quantify pathological features in almost every macular and retinal disease. Convolutional neural networks thereby mimic the path of the human brain for object recognition through learning of pathological features from training sets, supervised ML, or even extrapolation from patterns recognized independently, unsupervised ML. The methods of AI-based retinal analyses are diverse and differ widely in their applicability, interpretability and reliability in different datasets and diseases. Fully automated AI-based systems have recently been approved for screening of diabetic retinopathy (DR). The overall potential of ML/DL includes screening, diagnostic grading as well as guidance of therapy with automated detection of disease activity, recurrences, quantification of therapeutic effects and identification of relevant targets for novel therapeutic approaches. Prediction and prognostic conclusions further expand the potential benefit of AI in retina which will enable personalized health care as well as large scale management and will empower the ophthalmologist to provide high quality diagnosis/therapy and successfully deal with the complexity of 21st century ophthalmology.
    MeSH term(s) Artificial Intelligence ; Deep Learning ; Diagnostic Techniques, Ophthalmological ; Humans ; Nerve Net/diagnostic imaging ; Neural Networks (Computer) ; Reproducibility of Results ; Retinal Diseases/diagnosis
    Language English
    Publishing date 2018-08-01
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1182683-6
    ISSN 1873-1635 ; 1350-9462
    ISSN (online) 1873-1635
    ISSN 1350-9462
    DOI 10.1016/j.preteyeres.2018.07.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Embodied Gesture Processing: Motor-Based Integration of Perception and Action in Social Artificial Agents.

    Sadeghipour, Amir / Kopp, Stefan

    Cognitive computation

    2010  Volume 3, Issue 3, Page(s) 419–435

    Abstract: A close coupling of perception and action processes is assumed to play an important role in basic capabilities of social interaction, such as guiding attention and observation of others' behavior, coordinating the form and functions of behavior, or ... ...

    Abstract A close coupling of perception and action processes is assumed to play an important role in basic capabilities of social interaction, such as guiding attention and observation of others' behavior, coordinating the form and functions of behavior, or grounding the understanding of others' behavior in one's own experiences. In the attempt to endow artificial embodied agents with similar abilities, we present a probabilistic model for the integration of perception and generation of hand-arm gestures via a hierarchy of shared motor representations, allowing for combined bottom-up and top-down processing. Results from human-agent interactions are reported demonstrating the model's performance in learning, observation, imitation, and generation of gestures.
    Language English
    Publishing date 2010-11-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2486574-6
    ISSN 1866-9964 ; 1866-9956
    ISSN (online) 1866-9964
    ISSN 1866-9956
    DOI 10.1007/s12559-010-9082-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: TOPOGRAPHIC ANALYSIS OF PHOTORECEPTOR LOSS CORRELATED WITH DISEASE MORPHOLOGY IN NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

    Riedl, Sophie / Cooney, Lewis / Grechenig, Christoph / Sadeghipour, Amir / Pablik, Eleonore / Seaman, John W / Waldstein, Sebastian M / Schmidt-Erfurth, Ursula

    Retina (Philadelphia, Pa.)

    2019  Volume 40, Issue 11, Page(s) 2148–2157

    Abstract: Purpose: To quantify morphologic photoreceptor integrity during anti-vascular endothelial growth factor (anti-VEGF) therapy of neovascular age-related macular degeneration and correlate these findings with disease morphology and function.: Methods: ... ...

    Abstract Purpose: To quantify morphologic photoreceptor integrity during anti-vascular endothelial growth factor (anti-VEGF) therapy of neovascular age-related macular degeneration and correlate these findings with disease morphology and function.
    Methods: This presents a post hoc analysis on spectral-domain optical coherence tomography data of 185 patients, acquired at baseline, Month 3, and Month 12 in a multicenter, prospective trial. Loss of the ellipsoid zone (EZ) was manually quantified in all optical coherence tomography volumes. Intraretinal cystoid fluid, subretinal fluid (SRF), and pigment epithelial detachments were automatically segmented in the full volumes using validated deep learning methods. Spatiotemporal correlation of fluid markers with EZ integrity as well as bivariate analysis between EZ integrity and best-corrected visual acuity was performed.
    Results: At baseline, EZ integrity was predominantly impaired in the fovea, showing progressive recovery during anti-vascular endothelial growth factor therapy. Topographic analysis at baseline revealed EZ integrity to be more likely intact in areas with SRF and vice versa. Moreover, we observed a correlation between EZ integrity and resolution of SRF. Foveal EZ integrity correlated with best-corrected visual acuity at all timepoints.
    Conclusion: Improvement of EZ integrity during anti-VEGF therapy of neovascular age-related macular degeneration occurred predominantly in the fovea. Photoreceptor integrity correlated with best-corrected visual acuity. Ellipsoid zone integrity was preserved in areas of SRF and showed deterioration upon SRF resolution.
    MeSH term(s) Aged ; Aged, 80 and over ; Angiogenesis Inhibitors/therapeutic use ; Choroidal Neovascularization/drug therapy ; Choroidal Neovascularization/physiopathology ; Female ; Fluorescein Angiography ; Humans ; Image Processing, Computer-Assisted ; Intravitreal Injections ; Male ; Middle Aged ; Photoreceptor Cells, Vertebrate/pathology ; Prospective Studies ; Ranibizumab/therapeutic use ; Retinal Diseases/diagnostic imaging ; Subretinal Fluid ; Tomography, Optical Coherence ; Vascular Endothelial Growth Factor A/antagonists & inhibitors ; Visual Acuity ; Wet Macular Degeneration/drug therapy ; Wet Macular Degeneration/physiopathology
    Chemical Substances Angiogenesis Inhibitors ; VEGFA protein, human ; Vascular Endothelial Growth Factor A ; Ranibizumab (ZL1R02VT79)
    Language English
    Publishing date 2019-12-14
    Publishing country United States
    Document type Journal Article ; Multicenter Study ; Randomized Controlled Trial
    ZDB-ID 603192-4
    ISSN 1539-2864 ; 0275-004X
    ISSN (online) 1539-2864
    ISSN 0275-004X
    DOI 10.1097/IAE.0000000000002717
    Database MEDical Literature Analysis and Retrieval System OnLINE

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