ADEPTCancerImager(ADEPT:agent-derivedearlyphotontomography)

PI:KennethTichauer(BME)Co-PI:JovanBrankov(ECE)Co-PI:RajendraMehta(Biology)GraduateStudents:LagnojitaSinha(BME),CloverXu(BME)

Everypartofacancercanbeunique

Objec&ve:Developanimagingsystemcapableofmappingcancervariabilityin3D(volume)

ADEPTCancerImagerApplicaOons•  Clinical:

Surgically Removed Tissue –  Mapvariabilitytoguidetherapy–  Cancerstagingby3Dimagingof

tumordraininglymphnode

•  Preclinical:Cancer in Live Animal –  Allcancerdrugsgothrough

animaltesOng–  Ensureanimalmodelmatches

human–  Correlatevariabilityanddrug

resistance

RoadmaptoachievingobjecOveOp&calimagingsystemcapableofmappingcancervariabilityatthecellularlevel1.  AccuratelymeasuretheconcentraOonofcancer-specificmolecules2.  SufficientlyhighspaOalresoluOoninthreedimensions

1.Accuracyinmeasurementofcancermolecules

Paired-Agent Molecular Imaging

Cancer Targeted Imaging Agent

“Paired” Non-Targeted Imaging Agent

“Corrected” Image Shows Location of Cancer

Tichauer et al., Nature Medicine, 2014

Cancer Cells

Cancer Targeted Fluorescent Agent

2.Sufficientlyhighspa&alresolu&on

Chloe Lab, University of Rochester

Clear Object

Scattering Object (Like Tissue)

Laser

Laser

Scattering Object (Like Tissue)

ADEPT Resolution

Laser

Conventional Resolution

Ken Tichauer, PhD BME Jovan Brankov, PhD

ECE Raju Mehta, PhD

Biology

Lagnojita Sinha, MS BME

Clover Xu, MS BME

6 Faculty, 5 Postdoctoral Fellows, 30 Graduate Students, > $1 million/yr in federal grants

ADEPT Cancer Imager

Medical Imaging Inverse Problems

Molecular Imaging Optical Engineering Cancer Biology

Drug Development

Animal Models of Cancer Hardware Control Signal Processing

Deliverables(Year1)Construct,characterizeandvalidatetheADEPTCancerImager•  cellularlevelsofsensi.vity•  spa.alresolu.onof<100microns

Goal:prolongsurvivalandimprovequalityoflifeforcancerpa&entsby:

1)  Chemotherapyremainslargelytrialanderror

2)  Metastasis(thespreadofcancertootherorgans)isnotdiagnosedearlyenough

3)  TheconnecOonbetweendrugresistanceandcancervariabilityisunknownandanimalmodelsgenerallyfailtomimicthevariabilityofcancerinhumans

Carry out precision medicine by “fingerprinting” an individual’s cancer

Detect single cancer cells in surgically removed cancer-draining lymph nodes

Help identify new effective drugs designed to handle disease variability