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Mobile Imaging for Oral Cancer Screening Programs in Rural US Settings

美国农村地区口腔癌筛查项目的移动成像

基本信息

批准号：
10396044
负责人：
Ann M Gillenwater
金额：
$ 21.04万
依托单位：
RICE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-05-01 至 2024-10-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10396044
关键词：
Address Adult Algorithmic Analysis Algorithms Area Benign Biomedical Engineering Biopsy Cancer Center Cancer Patient Cancerous Car Phone Characteristics Classification Clinic Clinical Data Set Databases Dental Dental Care Dental Hygienists Dentists Detection Devices Diagnosis Disease Early Diagnosis Early treatment Educational process of instructing Evaluation Gold Head and Neck Surgeon Health Personnel Health Services Accessibility Healthcare Histology Home Human Resources Image Imaging technology Incidence Infrastructure Lesion Light Location Malignant - descriptor Malignant Neoplasms Medically Uninsured Modeling Morbidity - disease rate Multimodal Imaging Neighborhood Health Center Nurses Optics Oral Oral Diagnosis Oral Examination Oral Stage Oral cavity Oral health Oral mucous membrane structure Outcome Palpation Pathologist Patients Persons Pilot Projects Population Population Heterogeneity Primary Care Physician Primary Health Care Procedures Prospective Studies Provider Resource-limited setting Rice Risk Rural School Dentistry Screening for Oral Cancer Secure Site South Texas Specialist System Tactile Technology Texas Time Training Travel United States Universities Visit Visual accurate diagnosis advanced disease automated analysis automated image analysis base biomedical imaging cancer diagnosis cancer imaging care seeking clinical care clinical examination cost experience health care settings high risk imaging system improved innovation instrument malignant mouth neoplasm malignant oropharynx neoplasm medically underserved mortality oral lesion point of care premalignant programs rural area rural counties rural setting rural underserved scale up screening program tool training aid underserved area urban area usability

项目摘要

Abstract Oral cancer is the sixth most common malignancy worldwide. In the United States, 53,000 new cases of oral and oropharyngeal cancer are diagnosed annually. With early detection and treatment, patients with oral cancer can have excellent outcomes. However, most patients are not diagnosed until their disease is at a late stage when treatment is more invasive, more expensive, and less effective. Improving early detection of oral cancer and its precursors represents the best opportunity to reduce the incidence, morbidity, and mortality of oral cancer. In the US, rural areas are especially likely to lack effective programs for early detection of oral cancer. Early diagnosis of oral cancer in rural settings is frequently hampered by a lack of personnel with appropriate expertise, lack of health care infrastructure, limited access to health services, and long travel distances. Patients in rural counties experience longer delays and travel greater distances for diagnosis and treatment by a specialist, compared to patients in urban areas. In this project we will develop two new tools to improve early detection of oral cancer in rural areas of the US: (1) a low-cost, robust, mobile phone-based imaging system for mobile Detection of Oral Cancer (mDOC), and (2) a low-cost training model to aid in teaching oral cancer examination procedures, including the use of mDOC. These tools will provide the means to improve detection of oral cancer in rural areas through autofluorescence and white-light imaging technology, objective automated image analysis, and expert review by off-site dentists or doctors. In Aim 1 we will develop the mDOC instrument and the interactive oral exam training model. In Aim 2 we will use the mDOC device to image 120 patients referred to an oral specialist for evaluation of suspicious oral lesions. We will use this data set to develop and validate mDOC automated analysis algorithms to objectively identify high risk oral mucosal lesions. In parallel, we will conduct a usability study to evaluate and optimize the oral exam training model and the mDOC device. In Aim 3, we will use mDOC in a pilot study to image 50 patients seeking care at dental and primary care clinics in the Rio Grande Valley of south Texas, to evaluate the feasibility of oral cancer exam using mDOC in rural and underserved healthcare settings; and we will train local healthcare providers to perform oral exams using the training model and the mDOC device. Our partnership combines expertise in biomedical imaging with clinical expertise in detection, diagnosis, and treatment of oral cancer in diverse populations. The innovative mobile imaging technology to be developed in this proposal can enable scale-up of effective programs for early detection of oral cancer in rural and medically underserved regions of the United States.

摘要