# Mobile Imaging for Oral Cancer Screening Programs in Rural US Settings

> **NIH NIH R21** · RICE UNIVERSITY · 2022 · $210,425

## Abstract

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.

## Key facts

- **NIH application ID:** 10396044
- **Project number:** 5R21DE030532-02
- **Recipient organization:** RICE UNIVERSITY
- **Principal Investigator:** Ann M Gillenwater
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $210,425
- **Award type:** 5
- **Project period:** 2021-05-01 → 2024-10-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10396044

## Citation

> US National Institutes of Health, RePORTER application 10396044, Mobile Imaging for Oral Cancer Screening Programs in Rural US Settings (5R21DE030532-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10396044. Licensed CC0.

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