grant

smartOCT: a low-cost technology to detect and monitor glaucoma in outpatient and primary care centers

Organization VANDERBILT UNIVERSITYLocation Nashville, UNITED STATESPosted 1 May 2021Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY202421+ years oldAdultAdult HumanAffectAgreementAlgorithmic SoftwareAlgorithmic ToolsAmbulatory CareAppointmentArtifactsBlindnessCaringCell Communication and SignalingCell PhoneCell SignalingCellular PhoneCellular TelephoneClinicClinicalClinical ResearchClinical StudyCommunitiesCranial Nerve IIDataDemocracyDetectionDeteriorationDevicesDiabetes MellitusDiagnosisDiseaseDisorderDoppler OCTEarly treatmentEffectivenessEndocrinologyEthnic OriginEthnicityEvaluationEyeEyeballFamilyGlaucomaHealthHealth FairsHistoryImageImaging ProceduresImaging TechnicsImaging TechniquesImprove AccessInsuranceIntracellular Communication and SignalingIntraocular PressureLaboratoriesLatinoLie DetectionManualsMeasurementMeasuresMetabolism and EndocrinologyMobile PhonesModelingMonitorMorphologic artifactsMotionNatureOCT TomographyOcular TensionOphthalmologistOphthalmologyOptic DiskOptic NerveOptic Nerve HeadOptic PapillaOptical Coherence TomographyOut-patientsOutcomeOutpatient CareOutpatientsPOAGPatientsPerformancePeripheralPersonsPharmaciesPharmacy facilityPhysiologic Intraocular PressurePilot ProjectsPopulation StudyPrevalencePrimary CarePrimary Open Angle GlaucomaQualitative MethodsQualitative ResearchRNFLRecording of previous eventsResearchResearch ResourcesResourcesRiskRisk FactorsRoleScanningSecond Cranial NerveServicesSightSignal TransductionSignal Transduction SystemsSignalingSiteSoftware AlgorithmSystemTechnologyTelemedicineThickThicknessTimeTrainingTravelUnderserved PopulationVisionVisualizationWorkadulthoodagedbiological signal transductioncell phone based devicecostcost effectivediabetesearly therapyexperienceglaucoma testglaucomatousglobal healthhealth care qualityhealth care settingshealthcare qualityhealthcare settingshealthy volunteerhigh resolution imaginghigh riskhistoriesiPhoneimagingimaging systeminnovateinnovationinnovativeinstrumentintra-ocular pressurelight weightlightweightmalleable riskmobile phone based devicemodifiable risknew technologynovelnovel technologiesoptical Doppler tomographyoptical coherence Doppler tomographyoptical discoutpatient programsoutpatient servicesoutpatient treatmentpilot studypoint of carepopulation-based studypopulation-level studyportabilitypreservationprimary care clinicprimary care providerprogramsprototypeproviders from primary careproviders of primary carequalitative reasoningretina imagingretinal imagingretinal nerve fiber layerscreeningscreening programscreeningssensorsmart phonesmartphonesmartphone based devicesmartphone devicesocial rolestemstudies of populationsstudy of the populationtelehealthunder served groupunder served individualunder served peopleunder served populationunderserved groupunderserved individualunderserved peopleuser-friendlyvision lossvisual functionvisual loss
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Full Description

ABSTRACT: Glaucoma is the leading cause of irreversible vision loss globally. Nearly 52.7 million people will
be affected in 2020, and that number will grow to ~79.8 million by 2040. The prevalence varies by ethnicity,

and the rates of undiagnosed primary open angle glaucoma are alarmingly high (50-85%) in white, black and

Latino patients. The challenge in glaucoma detection lies in the asymptomatic nature of its early stage:

damage to the optic nerve occurs in an unnoticeable manner that slowly deteriorates the peripheral vision. By

the time many patients seek evaluation, the disease has reached a late stage and it is a challenge to preserve

the limited remaining central vision. Importantly, early treatment to decrease intraocular pressure (IOP), the

only modifiable risk factor for glaucoma, can reduce the rate of progression by 50%, but large population-

based studies have confirmed that screening based on IOP is clinically ineffective.

Optical coherence tomography (OCT) is central technology for glaucoma screening in standard ophthalmology

services. However, the cost and size of clinical OCT systems limits access to the technology by underserved

populations, who are simultaneously more likely to be affected with glaucoma-inducing conditions (e.g.,

diabetes) and less likely to have access to adequate eye care, vision insurance and ability to travel for

additional appointments. The availability of low-cost, portable and user-friendly technologies that are

deployable in non-specialist outpatient settings (e.g., primary care clinics, endocrinology offices)

where high-risk patients present most often is a critical barrier to widespread implementation of

effective glaucoma screening programs.

We propose a new paradigm for OCT imaging – smartOCT – that leverages the small form factor and ubiquity

of smartphones (SPs) to yield a low-cost, lightweight, small-footprint device that facilitates capture, processing,

visualization and interpretation of OCT data in outpatient services. Our innovative strategy targets

comprehensive integration of OCT with the built-in sensors of smartphones to lower the critical barriers to

mass deployment of OCT in clinics. We will demonstrate the feasibility of this technology and clinical workflow

through the following specific aims: Aim 1) Finalize a smartOCT prototype for low-cost optic nerve imaging.

Aim 2) Confirm the repeatability of smartOCT and comparison to conventional OCT in a pilot clinical study (n =

60). Aim 3) Evaluate the preliminary effectiveness for outpatient services in a pilot study (n = 40) with primary

care. If successful, our work will suggest a clear path to broaden access to the OCT technology needed to

detect glaucoma and to inspire equip new paradigms and contexts for effective glaucoma screening (e.g.,

clinics, health fairs, telemedicine). Successful implementation of smartOCT technology will also blaze a trail for

the OCT research community to consider new form factors and new scanning mechanisms that can be

implicated to study other clinical diseases and/or used in other resource-limited contexts (e.g., global health).

Grant Number: 5R01EY032670-04
NIH Institute/Center: NIH

Principal Investigator: Audrey Bowden

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