grant

Identification of Anterior Segment Structural Biomarkers in Glaucoma Following Pediatric Cataract Using Ultrasound Biomicroscopy

Organization UNIVERSITY OF MARYLAND BALTIMORELocation BALTIMORE, UNITED STATESPosted 1 Sept 2022Deadline 30 Jun 2026
NIHUS FederalResearch GrantFY20240-11 years old5 year old5 years of ageAbscissionActive Follow-upAddressAdverse ExperienceAdverse eventAffectAgeAnatomic AbnormalityAnatomic SitesAnatomic structuresAnatomical AbnormalityAnatomyAnteriorAreaAutomobile DrivingBiological MarkersBiometricsBiometryBiostatisticsBlindnessCataractCataract ExtractionCharacteristicsChildChild YouthChild health careChildhoodChildren (0-21)ChronologyCiliary BodyClinicalClinical InvestigatorClinical ResearchClinical StudyCohort StudiesComplicationConcurrent StudiesCorneaDataData BasesData SetDatabasesDefectDeformityDevelopmentDiagnosisDiseaseDisorderDrainageDrainage procedureEarly DiagnosisEarly treatmentExcisionExtirpationEyeEyeballFoundationsFundingFutureGeneralized GrowthGlaucomaGoalsGroups at riskGrowthHumanImageImage AnalysesImage AnalysisImpairmentIncidenceInfantInterventionIntervention StrategiesInvestigatorsIrisK23 AwardK23 MechanismK23 ProgramKnowledgeLeannessMaster of ScienceMaster's DegreeMeasurableMedicalMentored Patient-Oriented Research Career Development AwardMentored Patient-Oriented Research Career Development Award (K23)MentorsMentorshipModern ManOnset of illnessOperative ProceduresOperative Surgical ProceduresOphthalmologyPediatricsPeople at riskPersons at riskPopulations at RiskPredicting RiskPreventionPrimary PreventionProceduresPrognosisRemovalResearchResearch DesignResearch PersonnelResearchersResolutionRiskRisk FactorsSafetyScleraSightStructureStudy TypeSurgicalSurgical InterventionsSurgical ProcedureSurgical RemovalTestingThinnessTimeTissue GrowthTrainingUltrasonic BiomicroscopyUltrasonic bio-microscopyUltrasonographic BiomicroscopyUltrasound BiomicroscopiesVariantVariationVisionWhite of Eyeactive followupage 5 yearsagesaqueousbio-markersbiologic markerbiomarkercareer developmentcataract surgerycataractogenesiscataractous lenseschild healthcarechild patientschildhood cataractchildhood cataractogenesisclinical applicabilityclinical applicationclinical carecohortcompare to controlcomparison controlcongenital cataractcornealdata basedesigndesigningdevelopmentaldiagnostic tooldisease onsetdisorder onsetdrivingearly childhoodearly detectionearly therapyfive year oldfive years of agefollow upfollow-upfollowed upfollowupforecasting riskglaucomatoushereditary cataractimage evaluationimage interpretationimagingimaging studyimprovedinfancyinfantileinherited cataractinnovateinnovationinnovativeinterventional strategykidslenslensesocular imagingontogenypediatricpediatric carepediatric cataractpediatric health carepediatric healthcarepediatric patientspredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive riskpredicts riskpressurepreventpreventingprofessorprospectiveresectionresolutionsrisk predictionrisk predictionsskillsstatisticsstructural determinantsstructural factorsstudy designsuccesssurgerysurgery outcomesurgical outcometargeted drug therapytargeted drug treatmentstargeted therapeutictargeted therapeutic agentstargeted therapytargeted treatmenttherapy optimizationtooltreatment optimizationvision lossvisual functionvisual lossyoungster
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Full Description

This K23 application is submitted by Janet L. Alexander, MD, Assistant Professor in Ophthalmology and
Pediatrics. My long-term goal is to become an independent clinical investigator focusing on clinical

applications and innovations in ocular imaging to enhance the care of pediatric patients with ophthalmic

disease. This K23 award will provide the mentored career development needed to gain in-depth expertise in

study design, statistics (culminating in a Master’s of Science in Clinical Research), image analysis (though

coursework and mentorship), and professional development. Glaucoma develops in more than one quarter

of children with congenital cataracts in the 5 years following cataract surgery. Several structural risk factors

for glaucoma following congenital cataract surgery (GFCCS) have been established including age, corneal

size, and anatomic abnormalities of the sclera and ciliary body. Ultrasound biomicroscopy (UBM) has

potential to revolutionize our understanding of these structural risk factors and many more. A critical gap in

the field is our inability to utilize pre-operative data to anticipate GFCCS, to provide accurate personalized

prognosis and earlier diagnosis and treatment. My overall goal is to determine the contribution of structural

anatomy in the risk of GFCCS and offer clinicians a predictive risk profile for GFCCS at the time of cataract

surgery (prior to disease onset) based on anterior segment structural features determined from UBM

images. I hypothesize the structural risk factors (biomarkers) identified in pre-operative UBM images will

reflect structural immaturity and correlate with GFCCS. We will test this hypothesis with the following Aims:

1) We will determine baseline quantitative structural characteristics among healthy subjects age 0-5 years

using UBM images, 2) We will determine structural characteristics among subjects age 0-5 years with

cataracts, to compare the cataract cohort to age-matched controls. The cataract cohort will be followed

longitudinally to determine the structural biomarkers that correlate with development of GFCCS. My training

efforts parallel these Aims and focus on gaining expertise in clinical research, biostatistics, image analysis,

and professional development. In addition to didactic coursework, I will benefit from the close mentorship of

Drs. Steven Bernstein and Bennie Jeng, and established leaders in each area of my intended expertise.

The current study is important because identification of the specific measurable structural risk factors

associated with GFCCS will aid clinicians in diagnosis and provide an immediate high yield potential target

for treatment and prevention. Clinicians will identify structural features from UBM performed prior to cataract

surgery to quantify risk for development of glaucoma. The results of the proposed research will provide the

foundation for a future study examining interventions based on structural biomarkers for GFCCS. The

ultimate goal of my research is to develop quantitative diagnostic tools to enhance clinical care for pediatric

patients with anterior segment disease, leading to improved treatments and reduced childhood blindness.

Grant Number: 5K23EY032525-03
NIH Institute/Center: NIH

Principal Investigator: Janet Alexander

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