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  1. Article: The Sociodemographic and Lifestyle Correlates of Epigenetic Aging in a Nationally Representative U.S. Study of Younger Adults.

    Harris, Kathleen Mullan / Levitt, Brandt / Gaydosh, Lauren / Martin, Chantel / Meyer, Jess M / Mishra, Aura Ankita / Kelly, Audrey L / Aiello, Allison E

    bioRxiv : the preprint server for biology

    2024  

    Abstract: ... Design: Nationally representative prospective cohort study.: Setting: United States (U.S ... of adolescents in grades 7-12 in U.S. in 1994 followed for 25 years over five interview waves. Our analytic ...

    Abstract Importance: Epigenetic clocks represent molecular evidence of disease risk and aging processes and have been used to identify how social and lifestyle characteristics are associated with accelerated biological aging. However, most of this research is based on older adult samples who already have measurable chronic disease.
    Objective: To investigate whether and how sociodemographic and lifestyle characteristics are related to biological aging in a younger adult sample across a wide array of epigenetic clock measures.
    Design: Nationally representative prospective cohort study.
    Setting: United States (U.S.).
    Participants: Data come from the National Longitudinal Study of Adolescent to Adult Health, a national cohort of adolescents in grades 7-12 in U.S. in 1994 followed for 25 years over five interview waves. Our analytic sample includes participants followed-up through Wave V in 2016-18 who provided blood samples for DNA methylation (DNAm) testing (n=4237) at Wave V.
    Exposure: Sociodemographic (sex, race/ethnicity, immigrant status, socioeconomic status, geographic location) and lifestyle (obesity status, exercise, tobacco, and alcohol use) characteristics.
    Main outcome: Biological aging assessed from blood DNAm using 16 epigenetic clocks when the cohort was aged 33-44 in Wave V.
    Results: While there is considerable variation in the mean and distribution of epigenetic clock estimates and in the correlations among the clocks, we found sociodemographic and lifestyle factors are more often associated with biological aging in clocks trained to predict current or dynamic phenotypes (e.g., PhenoAge, GrimAge and DunedinPACE) as opposed to clocks trained to predict chronological age alone (e.g., Horvath). Consistent and strong associations of faster biological aging were found for those with lower levels of education and income, and those with severe obesity, no weekly exercise, and tobacco use.
    Conclusions and relevance: Our study found important social and lifestyle factors associated with biological aging in a nationally representative cohort of younger-aged adults. These findings indicate that molecular processes underlying disease risk can be identified in adults entering midlife before disease is manifest and represent useful targets for interventions to reduce social inequalities in heathy aging and longevity.
    Key points: Question:
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.21.585983
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets.

    Yadav, Sunil Kumar / Kafieh, Rahele / Zimmermann, Hanna Gwendolyn / Kauer-Bonin, Josef / Nouri-Mahdavi, Kouros / Mohammadzadeh, Vahid / Shi, Lynn / Kadas, Ella Maria / Paul, Friedemann / Motamedi, Seyedamirhosein / Brandt, Alexander Ulrich

    Journal of imaging

    2022  Volume 8, Issue 5

    Abstract: ... of U-Net (CCU-INSEG). The first network is responsible for retinal tissue segmentation from OCT B-scans ...

    Abstract Reliable biomarkers quantifying neurodegeneration and neuroinflammation in central nervous system disorders such as Multiple Sclerosis, Alzheimer's dementia or Parkinson's disease are an unmet clinical need. Intraretinal layer thicknesses on macular optical coherence tomography (OCT) images are promising noninvasive biomarkers querying neuroretinal structures with near cellular resolution. However, changes are typically subtle, while tissue gradients can be weak, making intraretinal segmentation a challenging task. A robust and efficient method that requires no or minimal manual correction is an unmet need to foster reliable and reproducible research as well as clinical application. Here, we propose and validate a cascaded two-stage network for intraretinal layer segmentation, with both networks being compressed versions of U-Net (CCU-INSEG). The first network is responsible for retinal tissue segmentation from OCT B-scans. The second network segments eight intraretinal layers with high fidelity. At the post-processing stage, we introduce Laplacian-based outlier detection with layer surface hole filling by adaptive non-linear interpolation. Additionally, we propose a weighted version of focal loss to minimize the foreground-background pixel imbalance in the training data. We train our method using 17,458 B-scans from patients with autoimmune optic neuropathies, i.e., multiple sclerosis, and healthy controls. Voxel-wise comparison against manual segmentation produces a mean absolute error of 2.3 μm, outperforming current state-of-the-art methods on the same data set. Voxel-wise comparison against external glaucoma data leads to a mean absolute error of 2.6 μm when using the same gold standard segmentation approach, and 3.7 μm mean absolute error in an externally segmented data set. In scans from patients with severe optic atrophy, 3.5% of B-scan segmentation results were rejected by an experienced grader, whereas this was the case in 41.4% of B-scans segmented with a graph-based reference method. The validation results suggest that the proposed method can robustly segment macular scans from eyes with even severe neuroretinal changes.
    Language English
    Publishing date 2022-05-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2824270-1
    ISSN 2313-433X ; 2313-433X
    ISSN (online) 2313-433X
    ISSN 2313-433X
    DOI 10.3390/jimaging8050139
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Impact of Type 2 Diabetes on the Outcomes of Solid Organ Transplantations in the U.S.: Data From a National Registry.

    Stepanova, Maria / Kumar, Ameeta / Brandt, Pamela / Gundurao, Nagashree / Cusi, Kenneth / Al Qahtani, Saleh / Younossi, Zobair M

    Diabetes care

    2023  Volume 46, Issue 12, Page(s) 2162–2170

    Abstract: ... to collect data for all patients age ≥18 years who received a lung, heart, liver, or kidney transplant in the U.S ...

    Abstract Objective: Type 2 diabetes (T2D) is a major driver of chronic diseases around the globe. The aim was to assess the impact of T2D on the outcomes of solid organ transplantations.
    Research design and methods: We used the Scientific Registry of Transplant Recipients from 2006 to 2021 to collect data for all patients age ≥18 years who received a lung, heart, liver, or kidney transplant in the U.S.
    Results: We included 462,692 solid organ transplant recipients: 31,503 lung, 38,004 heart, 106,639 liver, and 286,440 kidney transplantations. The prevalence of pretransplantation T2D was 15% in lung, 26% in heart, 25% in liver, and 30% in kidney transplant recipients, increasing over time. Posttransplantation mortality was significantly higher among transplant recipients with T2D versus those without T2D (lung 32.1% vs. 29.3% [3 years], 46.4% vs. 42.6% [5 years]; P < 0.01; heart 11.2% vs. 9.1% [1 year], 24.4% vs. 20.6% [5 years]; P < 0.0001; liver 10.6% vs. 8.9% [1 year], 26.2% vs. 22.0% [5 years]; P < 0.0001; kidney 5.3% vs. 2.5% [1 year], 20.8% vs. 10.1% [5 years]; P < 0.0001). Independent association of pretransplantation T2D with higher posttransplantation mortality was significant after adjustment for clinicodemographic confounders (adjusted hazard ratio in lung transplant recipients 1.08 [95% CI 1.03-1.13]; heart 1.26 [1.20-1.32]; liver 1.25 [1.21-1.28]; kidney 1.65 [1.62-1.68]; P < 0.01).
    Conclusions: The prevalence of T2D in solid organ transplantation candidates is increasing. In all solid organ transplantations, pretransplantation T2D was independently associated with higher posttransplantation mortality, most profoundly in kidney transplantations.
    MeSH term(s) Humans ; Adolescent ; Diabetes Mellitus, Type 2/epidemiology ; Incidence ; Organ Transplantation/adverse effects ; Kidney Transplantation ; Registries ; Retrospective Studies
    Language English
    Publishing date 2023-09-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 441231-x
    ISSN 1935-5548 ; 0149-5992
    ISSN (online) 1935-5548
    ISSN 0149-5992
    DOI 10.2337/dc23-1085
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing.

    C Coleman, Brian / Finch, Dezon / Wang, Rixin / L Luther, Stephen / Heapy, Alicia / Brandt, Cynthia / J Lisi, Anthony

    Applied clinical informatics

    2023  Volume 14, Issue 3, Page(s) 600–608

    Abstract: Background: Musculoskeletal pain is common in the Veterans Health Administration (VHA), and there is growing national use of chiropractic services within the VHA. Rapid expansion requires scalable and autonomous solutions, such as natural language ... ...

    Abstract Background: Musculoskeletal pain is common in the Veterans Health Administration (VHA), and there is growing national use of chiropractic services within the VHA. Rapid expansion requires scalable and autonomous solutions, such as natural language processing (NLP), to monitor care quality. Previous work has defined indicators of pain care quality that represent essential elements of guideline-concordant, comprehensive pain assessment, treatment planning, and reassessment.
    Objective: Our purpose was to identify pain care quality indicators and assess patterns across different clinic visit types using NLP on VHA chiropractic clinic documentation.
    Methods: Notes from ambulatory or in-hospital chiropractic care visits from October 1, 2018 to September 30, 2019 for patients in the Women Veterans Cohort Study were included in the corpus, with visits identified as consultation visits and/or evaluation and management (E&M) visits. Descriptive statistics of pain care quality indicator classes were calculated and compared across visit types.
    Results: There were 11,752 patients who received any chiropractic care during FY2019, with 63,812 notes included in the corpus. Consultation notes had more than twice the total number of annotations per note (87.9) as follow-up visit notes (34.7). The mean number of total classes documented per note across the entire corpus was 9.4 (standard deviation [SD]  =  1.5). More total indicator classes were documented during consultation visits with (mean  =  14.8, SD  =  0.9) or without E&M (mean  =  13.9, SD  =  1.2) compared to follow-up visits with (mean  =  9.1, SD  =  1.4) or without E&M (mean  =  8.6, SD  =  1.5). Co-occurrence of pain care quality indicators describing pain assessment was high.
    Conclusion: VHA chiropractors frequently document pain care quality indicators, identifiable using NLP, with variability across different visit types.
    MeSH term(s) Humans ; Female ; Chiropractic ; Quality Indicators, Health Care ; Veterans Health ; Natural Language Processing ; Cohort Studies ; Quality of Health Care ; Pain
    Language English
    Publishing date 2023-05-10
    Publishing country Germany
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ISSN 1869-0327
    ISSN (online) 1869-0327
    DOI 10.1055/a-2091-1162
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Community Outreach and Engagement at U.S. Cancer Centers: Notes from the Third Cancer Center Community Impact Forum.

    Leader, Amy E / Brandt, Heather M / Briant, Katherine J / Curry, Gina / Ellis, Kiara / Gonzalez, Evelyn T / Guerra, Carmen E / Harding, Garrett / Hull, Pamela C / Israel, Aimee / Mellilo, Rebecca / Mesia, Rachel J / Schiffelbein, Jenna E / Song, Yawei / Surani, Zul / Tiro, Jasmin A / Vadaparampil, Susan T / Vanderpool, Robin C / Paskett, Electra D

    Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

    2023  Volume 32, Issue 12, Page(s) 1777–1782

    Abstract: Community outreach and engagement (COE) is a fundamental activity of cancer centers as they aim to reduce cancer disparities in their geographic catchment areas. As part of COE, NCI-Designated Cancer Centers must monitor the burden of cancer in their ... ...

    Abstract Community outreach and engagement (COE) is a fundamental activity of cancer centers as they aim to reduce cancer disparities in their geographic catchment areas. As part of COE, NCI-Designated Cancer Centers must monitor the burden of cancer in their catchment area, implement and evaluate evidence-based strategies, stimulate catchment area relevant research, support clinical trial enrollment, and participate in policy and advocacy initiatives, in addition to other responsibilities. The Cancer Center Community Impact Forum (CCCIF) is a national annual meeting of COE professionals who work at or with cancer centers across the country. CCCIF grew out of earlier discussions at American Society of Preventive Oncology (ASPO) annual meetings, where COE was often discussed, but not exclusively. The third annual CCCIF meeting-hosted by the Sidney Kimmel Cancer Center at Thomas Jefferson University-was held in June 2022 in Philadelphia, PA, where more than 200 participants listened to dynamic presentations across 12 COE-related panel sessions. CCCIF leadership and ASPO AD/PL Workshop Planners worked together on the agenda. The 12 sessions used a COE lens to focus on: Diversity, Equity, and Inclusion; Policy; State Cancer Coalitions; Evaluation and Metrics; Implementation Science; In-reach; Outreach; Training and Education; Funding, Personnel and Resources; Clinical Trials; Innovative Methods; and Lessons from the COVID-19 pandemic. This article is a summary of main points and key lessons from each session, as well as a summary of overarching themes that were evident across the sessions.
    MeSH term(s) Humans ; United States ; Community-Institutional Relations ; Pandemics ; Neoplasms/epidemiology ; Neoplasms/prevention & control ; Educational Status
    Language English
    Publishing date 2023-10-05
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1153420-5
    ISSN 1538-7755 ; 1055-9965
    ISSN (online) 1538-7755
    ISSN 1055-9965
    DOI 10.1158/1055-9965.EPI-23-1017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A narrative review of HPV vaccination interventions in rural U.S. communities.

    Brandt, Heather M / Vanderpool, Robin C / Pilar, Meagan / Zubizarreta, Maria / Stradtman, Lindsay R

    Preventive medicine

    2021  Volume 145, Page(s) 106407

    Abstract: Uptake of human papillomavirus (HPV) vaccine in the United States (U.S.) is far below the Healthy ... vaccination in rural U.S. communities has involved qualitative investigations, observations, survey research ... vaccination interventions in rural U.S. settings from January 2006-December 2019. Using specific search ...

    Abstract Uptake of human papillomavirus (HPV) vaccine in the United States (U.S.) is far below the Healthy People 2020 goal of 80% coverage among adolescents. In rural communities, HPV vaccination coverage is low, yet incidence and mortality rates of HPV-associated cancer are high. Much of the research focused on HPV vaccination in rural U.S. communities has involved qualitative investigations, observations, survey research, and secondary data analysis with limited implementation of interventional study designs. The purpose of this narrative review was to examine intervention studies to increase HPV vaccination in rural settings and to summarize study characteristics and associated outcomes. PubMed, PsycINFO, CINAHL, and Web of Science were searched utilizing systematic narrative review methodology for studies describing implementation of HPV vaccination interventions in rural U.S. settings from January 2006-December 2019. Using specific search criteria, 991 studies were identified. After abstract review, 30 full-text articles were assessed for eligibility, and 15 met the inclusion criteria. The 15 articles - published from 2011 to 2019 - described HPV vaccination interventions in rural settings of six states, including communities, health clinics, and schools. A range of primary and secondary outcomes were reported, including HPV vaccine receipt (series initiation, continuation, and/or completion); HPV vaccine knowledge; and/or cervical cancer knowledge. Across the studies, there was an absence of the description of rural context. As compared to the broader HPV vaccination intervention literature, interventions in rural settings were limited. More interventional research is needed in rural communities given the elevated rates of HPV-related cancer and low rates of HPV vaccine uptake.
    MeSH term(s) Adolescent ; Female ; Humans ; Papillomavirus Infections/prevention & control ; Papillomavirus Vaccines ; Rural Population ; United States ; Uterine Cervical Neoplasms/prevention & control ; Vaccination
    Chemical Substances Papillomavirus Vaccines
    Language English
    Publishing date 2021-01-01
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S. ; Review ; Systematic Review
    ZDB-ID 184600-0
    ISSN 1096-0260 ; 0091-7435
    ISSN (online) 1096-0260
    ISSN 0091-7435
    DOI 10.1016/j.ypmed.2020.106407
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: National Study of Youth Opinions on Vaccination for COVID-19 in the U.S.

    Brandt, Eric J / Rosenberg, Julia / Waselewski, Marika E / Amaro, Xochitl / Wasag, Jacob / Chang, Tammy

    The Journal of adolescent health : official publication of the Society for Adolescent Medicine

    2021  Volume 68, Issue 5, Page(s) 869–872

    Abstract: Purpose: This study aimed to understand the potential barriers and facilitators to COVID-19 vaccination among youth.: Methods: Open-ended questions regarding COVID-19 vaccination were posed to a national cohort of 14- to 24-year-olds (October 30, ... ...

    Abstract Purpose: This study aimed to understand the potential barriers and facilitators to COVID-19 vaccination among youth.
    Methods: Open-ended questions regarding COVID-19 vaccination were posed to a national cohort of 14- to 24-year-olds (October 30, 2020). Responses were coded through qualitative thematic analysis. Multivariable logistic regression tested the association of demographic characteristics with vaccination unwillingness.
    Results: Among 911 respondents (response rate = 79.4%), 75.9% reported willingness to receive a COVID-19 vaccine, 42.7% had unconditional willingness, and 33.3% were conditionally willing, of which the majority (80.7%) were willing if experts deemed vaccination safe and recommended. Preferred vaccine information sources were medical organizations (42.3%; CDC, WHO) and health care professionals (31.7%). Frequent concerns with vaccination included side effects (36.2%) and efficacy (20.1%). Race predicted vaccination unwillingness (Black: odds ratio = 3.31; and Asian: odds ratio = .46, compared with white, p < .001).
    Conclusion: Most youth in our national sample were willing to receive a COVID-19 vaccine when they believe it is safe and recommended. Public health experts and organizations must generate youth-centered materials that directly address their vaccination concerns.
    MeSH term(s) Adolescent ; Attitude to Health ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19 Vaccines/administration & dosage ; Female ; Humans ; Male ; United States/epidemiology ; Vaccination/psychology ; Young Adult
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-04-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1063374-1
    ISSN 1879-1972 ; 1054-139X
    ISSN (online) 1879-1972
    ISSN 1054-139X
    DOI 10.1016/j.jadohealth.2021.02.013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Conference proceedings: Einfluss der Covid19-Pandemie auf die Weiterbildungsbedingungen in O&U

    Brandt, Oskar / Kölbel, Benny / Grimaldi, Gina / Bouillon, Bertil / Imach, Sebastian

    2021  , Page(s) AB31–1353

    Event/congress Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2021); Berlin; ; Berufsverband für Orthopädie und Unfallchirurgie; 2021
    Keywords Medizin, Gesundheit ; CoVid-19 ; Weiterbildung in O&U ; Digitalisierung ; chirurgische Intensivmedizin
    Publishing date 2021-10-26
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/21dkou136
    Database German Medical Science

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  9. Article ; Online: Model Policies to Protect U.S. Fire-Based EMS Responders From Workplace Stress and Violence.

    Taylor, Jennifer A / Murray, Regan M / Davis, Andrea L / Brandt-Rauf, Sherry / Allen, Joseph A / Borse, Robert / Pellechia, Diane / Picone, David

    New solutions : a journal of environmental and occupational health policy : NS

    2022  Volume 32, Issue 2, Page(s) 119–131

    Abstract: ... violence intervention for the U.S. fire and rescue service that is ready for implementation. Expected ...

    Abstract The stress and violence to fire-based emergency medical service responders (SAVER) Systems-Level Checklist is an organizational-level intervention to address stress and violence in emergency medical service (EMS), focused on the development of policy and training. Fire and EMS leadership, first responders, dispatchers, and labor union representatives participated in the SAVER Model Policy Collaborative to develop model policies that resulted from the most feasible checklist items. ThinkLets technology was employed to achieve consensus on the model policies, and an Action SWOT analysis was then conducted to assess facilitators and barriers to policy implementation. The resultant model policies are a systems-level workplace violence intervention for the U.S. fire and rescue service that is ready for implementation. Expected improvements to organizational outcomes such as burnout, job engagement, and job satisfaction are anticipated, as are decreasing assaults and injuries. The SAVER Model Policies have the potential to inform national standards and regulations on workplace violence in EMS.
    MeSH term(s) Emergency Medical Services ; Emergency Responders ; Humans ; Occupational Stress/prevention & control ; Policy ; Surveys and Questionnaires ; Workplace ; Workplace Violence/prevention & control
    Language English
    Publishing date 2022-03-24
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1236515-4
    ISSN 1541-3772 ; 1048-2911
    ISSN (online) 1541-3772
    ISSN 1048-2911
    DOI 10.1177/10482911221085728
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets

    Sunil Kumar Yadav / Rahele Kafieh / Hanna Gwendolyn Zimmermann / Josef Kauer-Bonin / Kouros Nouri-Mahdavi / Vahid Mohammadzadeh / Lynn Shi / Ella Maria Kadas / Friedemann Paul / Seyedamirhosein Motamedi / Alexander Ulrich Brandt

    Journal of Imaging, Vol 8, Iss 139, p

    2022  Volume 139

    Abstract: ... of U-Net (CCU-INSEG). The first network is responsible for retinal tissue segmentation from OCT B-scans ...

    Abstract Reliable biomarkers quantifying neurodegeneration and neuroinflammation in central nervous system disorders such as Multiple Sclerosis, Alzheimer’s dementia or Parkinson’s disease are an unmet clinical need. Intraretinal layer thicknesses on macular optical coherence tomography (OCT) images are promising noninvasive biomarkers querying neuroretinal structures with near cellular resolution. However, changes are typically subtle, while tissue gradients can be weak, making intraretinal segmentation a challenging task. A robust and efficient method that requires no or minimal manual correction is an unmet need to foster reliable and reproducible research as well as clinical application. Here, we propose and validate a cascaded two-stage network for intraretinal layer segmentation, with both networks being compressed versions of U-Net (CCU-INSEG). The first network is responsible for retinal tissue segmentation from OCT B-scans. The second network segments eight intraretinal layers with high fidelity. At the post-processing stage, we introduce Laplacian-based outlier detection with layer surface hole filling by adaptive non-linear interpolation. Additionally, we propose a weighted version of focal loss to minimize the foreground–background pixel imbalance in the training data. We train our method using 17,458 B-scans from patients with autoimmune optic neuropathies, i.e., multiple sclerosis, and healthy controls. Voxel-wise comparison against manual segmentation produces a mean absolute error of 2.3 μm, outperforming current state-of-the-art methods on the same data set. Voxel-wise comparison against external glaucoma data leads to a mean absolute error of 2.6 μm when using the same gold standard segmentation approach, and 3.7 μm mean absolute error in an externally segmented data set. In scans from patients with severe optic atrophy, 3.5% of B-scan segmentation results were rejected by an experienced grader, whereas this was the case in 41.4% of B-scans segmented with a graph-based reference method. The validation ...
    Keywords optical coherence tomography (OCT) ; intraretinal layer segmentation ; retina ; U-Net ; deep learning ; Photography ; TR1-1050 ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 000
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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