SBIR/STTR Research Award

Validation of a lab-free low-cost screening test for prevention of cervical cancer: automated visual evaluation

Award identifier 0c97a592e57a344b9a177ffb43241fccdd604b7a8283f8124898f9456825ccfcAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$297,844

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
MobileODT Inc.
Proposal award date
2020-07-01
Contract end date
2021-06-30
UEI
Not reported
Solicitation number
PAR18-801
Topic code
102

Research abstract

PROJECT SUMMARY/ABSTRACT Artificial intelligence (AI) has the potential to revolutionize medicine by improving productivity, reducing human error, and assisting with diagnosis and treatment. Image classification algorithms can be used to develop automated visual evaluation (AVE): a potential game-changer for cervical cancer prevention in low- and middle-income countries (LMICs). AVE technology reads digital photographs of a cervix to provide diagnosis and treatment recommendations in seconds. AVE is a true point of care test, low cost and does not require a laboratory. AVE could be used either for stand-alone primary screening, or to triage HPV-positive women. We will compare AVE to common screening methods in LMICs: visual inspection with acetic acid (VIA) and conventional cytology. Enhanced Visual Assessment (EVA) System by MobileODT is a cloud-connected mobile colposcope on a smartphone platform. It is FDA cleared and used in 42 countries. MobileODT is uniquely poised to integrate AVE into the EVA System. Our aim is to validate and commercialize AVE on the EVA platform. Phase I aims will adapt AVE to run on the EVA system using an optimal neural network architecture, running either directly on the phone or as a cloud- based service. Phase II is a prospective clinical trial of 10,000 patients recruited at ministry of health sites in El Salvador. All screen-positive patients, and 10% of negative patients, will undergo colposcopy with biopsy. Sensitivity of AVE as a primary screening test will be compared to cytology and to VIA. In HPV-positive women, AVE will be compared to VIA as a triage test.PROJECT NARRATIVE The proposal involves developing and testing a cervical cancer screening test: automated visual evaluation (AVE) based on an image classification algorithm that runs on smartphone-based colposcope. Included are both technical development to integrate AVE to a mobile phone application (Phase I), and a prospective validation on a screening population of 10,000 women in El Salvador (Phase II). AVE will be compared to standard tests (conventional cytology and visual inspection with acetic acid: VIA) for primary screening, and against VIA triage in an HPV+ population.

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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