A software tool for objective identification of concussion-related vision disorders using a novel eye-tracking device

使用新型眼球追踪设备客观识别脑震荡相关视力障碍的软件工具

基本信息

  • 批准号:
    9698505
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-06-01 至 2018-11-30
  • 项目状态:
    已结题

项目摘要

ABSTRACT This project will create the first objective measurement tool, the VisBox, for the vision subtype of concussion (VSC). This will enable physicians to identify VSC without an eye-care professional, for referral to a vision specialist for personalized vision therapy recommendations. The persistence of concussion symptoms beyond several weeks is often a life-altering situation for affected individuals, and children are particularly vulnerable as they are at risk for co-morbidities such as chronic pain, fatigue, depression, anxiety, and learning difficulties. A lack of accessible, objective vision diagnostics are critical barriers to identification of VSC and referral for treatment. The VisBox will be a software product that is used with the OcuTracker, Oculogica’s proprietary eye-tracking hardware platform. The VisBox will input eye movement measurements from the OcuTracker, calculate metrics that correspond to aspects of cranial nerve function affected during a concussion, and use those metrics to calculate a score to predict VSC using an algorithm developed with guided machine learning in the course of this study. The VisBox will be used by non- vision specialists to objectively measure three vision disorders related to concussion: convergence insufficiency (CI), accommodative insufficiency (AI), and saccadic dysfunction (SD) in under 4 minutes, during the clinical visit where the concussion is diagnosed. The long-term goal is to develop an objective assessment of vision characteristics, that will enable physicians that are non-specialists in vision to 1) screen for concussion-related vision disorders; 2) identify VSC; 3) make decisions about the necessity of a referral for a comprehensive vision examination; 4) monitor the effectiveness of vision treatment. Phase I Hypothesis. VisBox can produce an output score that correlates with the presence or absence of TBI- related vision disorder, i.e., VSC, by leveraging the OcuTracker visual stimulus and eye tracking system. Specific Aim I. Generate OcuTracker eye tracking data and the diagnosis of TBI-related vision disorder in 250 pediatric concussion patients. Specific Aim II. Develop and validate VisBox algorithm for assessing CI, AI, and SD using OcuTracker data. Plans for Phase II. The VisBox score will be used to predict responsiveness to vision therapy in a prospective randomized clinical study. Phase II will be a multi-armed study comparing vision therapy with placebo therapy in concussion patients and assessing whether the VisBox software can predict which patients are responsive to vision therapy. Commercial Opportunity. VisBox customers are non-eye care specialists including neurologists, pediatricians, emergency room physicians, sports medicine physicians, and concussion specialists. The total addressable market is $400M, assuming 4M annual scans at $100/scan needed for concussions in the US.
摘要 该项目将为脑震荡的视觉亚型创建第一个客观的测量工具VisBox (VSC)。这将使医生能够在没有眼科护理专业人员的情况下识别VSC,以便转诊到视力 专家提供个性化的视力治疗建议。 脑震荡症状的持续超过几个星期往往是一个改变生活的情况, 个人和儿童特别脆弱,因为他们有患慢性疼痛等并发症的风险, 疲劳、抑郁、焦虑和学习困难。缺乏可获得的、客观的视力诊断, 识别VSC和转诊治疗的关键障碍。VisBox将是一个软件产品, 与OcuTracker(Oculogica专有的眼动追踪硬件平台)一起使用。VisBox将输入眼睛 从OcuTracker的运动测量,计算对应于颅神经方面的指标, 在脑震荡期间受影响的功能,并使用这些指标来计算分数,以使用 在这项研究的过程中,我们使用了引导机器学习的算法。VisBox将被非 视觉专家客观地测量与脑震荡有关的三种视觉障碍:会聚 眼动功能不全(CI)、眼动功能不全(AI)和扫视功能障碍(SD)在4分钟内, 脑震荡被诊断出来的临床访问。长期目标是制定一个客观的评估 的视觉特征,这将使医生是非专家的视觉1)屏幕 脑震荡相关的视力障碍; 2)识别VSC; 3)决定是否需要转诊, 全面的视力检查; 4)监测视力治疗的效果。 第一阶段假设。VisBox可以产生与TBI的存在或不存在相关的输出分数- 相关的视觉障碍,即,VSC,通过利用OcuTracker视觉刺激和眼动跟踪系统。 具体目标一。生成OcuTracker眼动追踪数据并诊断250例TBI相关视力障碍 小儿脑震荡患者 具体目标二。使用OcuTracker数据开发并验证VisBox算法,用于评估CI、AI和SD。 第二阶段的计划。VisBox评分将用于在前瞻性研究中预测视力治疗的反应性。 随机临床研究。II期将是一项多组研究,比较视力治疗与安慰剂治疗 并评估VisBox软件是否可以预测哪些患者有反应 视力治疗 商业机会。VisBox的客户是非眼科护理专家,包括神经科医生, 儿科医生、急诊室医生、运动医学医生和脑震荡专家。总 潜在市场为4亿美元,假设美国脑震荡每年需要400万次扫描,每次扫描100美元。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Exercise in the first week following concussion among collegiate athletes: Preliminary findings.
大学运动员脑震荡后第一周的锻炼:初步发现。
  • DOI:
    10.1016/j.jsams.2019.08.294
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Howell,DavidR;Brilliant,AnnaN;Oldham,JessieR;Berkstresser,Brant;Wang,Francis;Meehan3rd,WilliamP
  • 通讯作者:
    Meehan3rd,WilliamP
Symptom Presentation After Concussion and Pre-existing Anxiety Among Youth Athletes.
The Molecular Pathophysiology of Concussion.
Dual-Task Gait Recovery after Concussion among Female and Male Collegiate Athletes.
男女大学运动员脑震荡后的双任务步态恢复。
  • DOI:
    10.1249/mss.0000000000002225
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Howell,DavidR;Oldham,Jessie;Lanois,Corey;Koerte,Inga;Lin,AlexanderP;Berkstresser,Brant;Wang,Francis;Meehan3rd,WilliamP
  • 通讯作者:
    Meehan3rd,WilliamP
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Christina L. Master其他文献

Mental Health in the Young Athlete
  • DOI:
    10.1007/s11920-020-01185-w
  • 发表时间:
    2020-09-21
  • 期刊:
  • 影响因子:
    6.700
  • 作者:
    Melissa S. Xanthopoulos;Tami Benton;Jason Lewis;Julia A. Case;Christina L. Master
  • 通讯作者:
    Christina L. Master
The King-Devick test as a concussion screening tool administered by sports parents.
King-Devick 测试是体育家长进行的脑震荡筛查工具。
Estimating the Relationship Between the Symptom-Free Waiting Period and Injury Rates After Return-to-Play from Concussion: A Simulation Analysis Using CARE Consortium Data
估计脑震荡恢复比赛后无症状等待期与受伤率之间的关系:使用 CARE 联盟数据的模拟分析
  • DOI:
    10.1007/s40279-023-01901-5
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Gian;Lauren L. Czerniak;Mariel S. Lavieri;S. W. Liebel;K. V. Van Pelt;P. Pasquina;T. McAllister;M. McCrea;S. Broglio;Louise A. Justus D. Kenneth L. Joshua T. Holly J. Thomas Kelly Ortega Cameron Goldman Benjamin Buckley Kami;Louise A. Kelly;Justus D. Ortega;Kenneth L. Cameron;Joshua T Goldman;H. Benjamin;Thomas A Buckley;Thomas W. Kaminski;J. Clugston;Julianne D. Schmidt;Luis A. Feigenbaum;J. Eckner;J. Mihalik;Scott A. Anderson;Christina L. Master;A. Kontos;Sara Chrismas;A. Brooks;Chris Miles
  • 通讯作者:
    Chris Miles
Female Collegiate Athletes’ Concussion Characteristics and Recovery Patterns: A Report from the NCAA-DoD CARE Consortium
女大学运动员的脑震荡特征和恢复模式:来自 NCAA-DoD CARE 联盟的报告
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Landon B. Lempke;Jaclyn B. Caccese;Reid A Syrydiuk;Thomas A Buckley;Sara P D Chrisman;J. Clugston;J. Eckner;Elsa Ermer;Carrie Esopenko;Divya Jain;Louise A. Kelly;Allyssa K. Memmini;Anne E. Mozel;M. Putukian;A. Susmarski;P. Pasquina;M. McCrea;T. McAllister;S. Broglio;Christina L. Master
  • 通讯作者:
    Christina L. Master
Sex Differences in Recovery Trajectories of Assessments for Sport-Related Concussion Among NCAA Athletes: A CARE Consortium Study
  • DOI:
    10.1007/s40279-023-01982-2
  • 发表时间:
    2023-12-22
  • 期刊:
  • 影响因子:
    9.400
  • 作者:
    Jaclyn B. Caccese;Christina L. Master;Thomas A. Buckley;Sara P. D. Chrisman;James R. Clugston;James T. Eckner;Elsa Ermer;Stacey Harcum;Tamerah N. Hunt;Divya Jain;Louise A. Kelly;T. Dianne Langford;Landon B. Lempke;Jane McDevitt;Allyssa K. Memmini;Anne E. Mozel;Susan M. Perkins;Margot Putukian;Patricia R. Roby;Adam Susmarski;Steven P. Broglio;Thomas W. McAllister;Michael McCrea;Paul F. Pasquina;Carrie Esopenko
  • 通讯作者:
    Carrie Esopenko

Christina L. Master的其他文献

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