Smartphone-based application to assist in the screening/diagnosis of FASD

基于智能手机的应用程序协助筛查/诊断 FASD

• 批准号: 10491293
• 负责人: EDWARD P RILEY
• 金额: $ 17.87万
• 依托单位: SAN DIEGO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-20 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10491293
• 关键词: 3-Dimensional; Address; Affect; Area; COVID-19; Cellular Phone; Characteristics; Child; Clinical; Clinical Research; Consultations; Data; Development; Diagnosis; Diagnostic; Disease; Dysmorphology; Early Intervention; Elements; Equation; Evaluation; Exclusion; Expert Opinion; Face; Fetal Alcohol Exposure; Fetal Alcohol Spectrum Disorder; Fetal Alcohol Syndrome; Fissural; Growth; Health Insurance Portability and Accountability Act; Health Occupations; Health Personnel; Health Services Accessibility; Image; Individual; Judgment; Length; Lip structure; Location; Maxilla; Measurement; Measures; Medical; Methodology; Mobile Health Application; Monitor; Nervous System Physiology; Neuraxis; Patients; Photogrammetry; Physical assessment; Population; Positioning Attribute; Process; Public Health; Scanning; Series; Shapes; Technical Expertise; Techniques; Technology; Thinness; Three-Dimensional Image; Time; Variant; Work; alcohol exposure; base; diagnostic criteria; diagnostic screening; experience; falls; fetal diagnosis; heuristics; improved; mobile application; novel; remote assessment; screening; skills; smartphone Application; telegenetics; telehealth; tool; virtual reality; virtual reality environment; virtual reality headset

Project Summary/Abstract. Fetal alcohol spectrum disorder (FASD) is a major public health issue resulting from prenatal alcohol exposure (PAE), impacting between 1-5% of the US population and perhaps more than 630,000 children globally each year. When assessing for FASD the following facial features must be evaluated as part of the screening/diagnostic process: palpebral fissure length (PFL), thinness of the upper vermillion, and the smoothness of the philtrum. PFL is typically assessed with a metric ruler or photometrically, while the lip and philtrum are evaluated against a series of five Likert scale photos. Each of these traditional assessments has methodological problems, often resulting in unreliable application to specific diagnostic criteria. There is also a reluctance on the part of health care providers to diagnose FASD because they don’t feel confident in their skills in assessing these features, resulting in under- or misdiagnosis. Furthermore, the number of affected individuals is far greater than the capacity of expert diagnosticians, especially when considering the global impact of PAE. Some of the issues involved in the diagnosis of FASD could be remedied by simple to use mobile apps that would take much of the guesswork or heuristic elements out of the diagnostic equation, provide an evaluation based upon expert opinion, and could be used by health care providers globally. A smartphone app, MorpheusQ, has been developed to make the assessment of these facial features easier, as well as more reliable. The first aim of this project is to determine if individuals knowledgeable about FASD, but not expert in the physical assessments of the facial features involved in FASD, can use MorpheusQ to obtain similar facial measures as those obtained by expert dysmorphologists using traditional approaches. The second aim is to incorporate the 3D image obtained with MorpheusQ into a virtual reality (VR) headset. Within the VR environment, the user will be able to use an embedded version of MorpheusQ to obtain measurements of the three cardinal facial features, as well as other measures of facial features and shapes. This VR environment could be utilized by experts to allow for their assessment of an individual’s facial characteristics for compatibility with an FASD feature. Scans collected in one location could be assessed by an expert located elsewhere at any time, simply by downloading the image from the cloud, viewing it in 3D, and using the app to score facial features (e.g., lip, philtrum, PFL, maxillary hypoplasia). We are in a unique position to accomplish these endeavors, as we have both the clinical and technical expertise to continue to develop MorpheusQ, assess its reliability, and have access to data to help validate the findings. Given the scope of the problem and the lack of access to expert diagnosticians, this mobile health application should overcome at least some of the issues involved in the screening and diagnosis of FASD.

项目摘要/摘要。胎儿酒精谱系障碍（FASD）是一个主要的公共卫生问题 从产前酒精暴露（PAE）影响美国人口的1-5％，甚至超过 每年全球630,000名儿童。评估FASD时，必须评估以下面部特征 作为筛查/诊断过程的一部分：骨裂长（PFL），上朱红色的薄度和 Philtrum的平稳性。 PFL通常用度量标尺或镜面评估，而唇部和唇部 对菲尔姆的五个李克特秤照片进行了评估。这些传统评估中的每一个都有 方法论问题，通常导致对特定诊断标准不可靠的应用。还有一个 医疗保健提供者不愿诊断FASD，因为他们对自己的技能不自信 在评估这些特征时，导致诊断不足或误诊。此外，受影响的个体的数量 远大于专家诊断师的能力，尤其是在考虑PAE的全球影响时。 可以通过易于使用的移动应用程序来补救FASD诊断所涉及的一些问题 会从诊断方程式中取出许多猜测或启发式元素，提供评估 根据专家意见，可以在全球卫生保健提供者使用。智能手机应用程序Morpheusq， 已经开发出来使对这些面部特征的评估更加容易，更可靠。第一个 该项目的目的是确定个人是否了解FASD，而不是身体上的专家 评估FASD涉及的面部特征，可以使用morpheusq获得类似的面部措施 专家畸形学家使用传统方法获得的。第二个目的是合并 用morpheusq获得的3D图像成虚拟现实（VR）耳机。在VR环境中，用户将 能够使用嵌入式版本的morpheusq来获得三个主要面部特征的测量值， 以及面部特征和形状的其他措施。专家可以利用这种VR环境 允许他们评估个人的面部特征，以兼容与FASD功能。扫描 只需下载，就可以在一个位置收集在一个位置的专家可以评估其他地方的专家 来自云的图像，以3D查看，并使用该应用来评分面部特征（例如Lip，Philtrum，PFL， 上颌发育不全）。我们处于实现这些努力的独特位置，因为我们都有临床 和技术专长，以继续开发morpheusq，评估其可靠性并可以访问数据以帮助 验证发现。鉴于问题的范围和缺乏获得专家诊断医生的访问权限，该手机 健康应用应至少克服FASD筛查和诊断涉及的一些问题。