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: 10353197
• 负责人: EDWARD P RILEY
• 金额: $ 21.63万
• 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 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10353197
• 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 screening; experience; falls; fetal diagnosis; heuristics; improved; mobile application; novel; screening; skills; smartphone Application; 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) 是一个重大的公共卫生问题。 产前酒精暴露 (PAE)，影响了 1-5% 的美国人口，甚至可能超过 每年全球有 630,000 名儿童在评估 FASD 时必须评估以下面部特征。 作为筛查/诊断过程的一部分：睑裂长度 (PFL)、上朱红色厚度，以及 PFL 的平滑度通常使用公制尺或光度计进行评估，而唇部和 人中是根据一系列五张李克特量表照片进行评估的。 方法学问题，常常导致特定诊断标准的应用不可靠。 医疗保健提供者不愿意诊断 FASD，因为他们对自己的技能没有信心 评估这些特征，导致诊断不足或误诊。此外，受影响个体的数量。 远远超出了诊断专家的能力，特别是考虑到 PAE 的全球影响时。 FASD 诊断中涉及的一些问题可以通过简单易用的移动应用程序来解决，这些应用程序 将从诊断方程中剔除大部分猜测或启发式元素，提供评估 基于专家意见，可供全球医疗保健提供者使用的智能手机应用程序 MorpheusQ， 开发的目的是使这些面部特征的评估更容易、也更可靠。 该项目的目的是确定个人是否了解 FASD，但不是身体方面的专家 对 FASD 涉及的面部特征的评估，可以使用 MorpheusQ 获得类似的面部测量 第二个目标是整合专家畸形学家使用传统方法获得的结果。 用户将使用 MorpheusQ 获得的 3D 图像放入虚拟现实 (VR) 耳机中。 能够使用 MorpheusQ 的嵌入式版本来获取三个主要面部特征的测量值， 以及面部特征和形状的其他测量方法，专家可以利用该 VR 环境来进行测量。 允许他们评估个人的面部特征与 FASD 扫描功能的兼容性。 在一个地点收集的数据可以由位于其他地方的专家随时进行评估，只需下载 来自云端的图像，以 3D 方式查看，并使用应用程序对面部特征进行评分（例如，嘴唇、人中、PFL、 上颌发育不全），我们处于完成这些努力的独特位置，因为我们拥有临床研究。 和技术专业知识，以继续开发 MorpheusQ、评估其可靠性并获取数据来帮助 考虑到问题的范围以及无法联系专家诊断人员，该移动设备验证了调查结果。 健康应用应至少克服 FASD 筛查和诊断中涉及的一些问题。