grant

Fast, large area, multiphoton exoscope (FLAME) for improving early detection of melanoma

Organization UNIVERSITY OF CALIFORNIA-IRVINELocation IRVINE, UNITED STATESPosted 1 Sept 2022Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY20252-dimensional2-photonAdoptionAdvanced DevelopmentAffectAlgorithmsAreaBenignBenign Melanocytic NevusBenign Melanocytic Skin NevusBenign Skin NevusBiological MarkersBiopsyBody TissuesCell Communication and SignalingCell SignalingCellular MorphologyClinicalClinical ResearchClinical StudyCollaborationsCollagenComputer softwareConnective TissueCutaneous MelanomaCutaneous imagingData AnalysesData AnalysisDermatological ImagingDermatologyDermatoscopiesDermatoscopyDermoscopic imagingDermoscopiesDermoscopyDevicesDiagnosisDiscriminant AnalysesDiscriminant AnalysisDiseaseDisorderEarly DiagnosisElastin FiberElectronicsEnvironmentEpiluminescence MicroscopyFluorescenceGenerationsGermanyHistopathologyImageImage AnalysesImage AnalysisImaging DeviceImaging InstrumentImaging ProceduresImaging TechnicsImaging TechniquesImaging ToolInter-Observer VariabilityInter-Observer VariationIntermediary MetabolismInterobserver VariabilityInterobserver VariationsIntracellular Communication and SignalingInvestigatorsKeratinLabelLaser ElectromagneticLaser RadiationLasersLesionLesion by StageMalignant Cutaneous MelanomaMalignant MelanomaMalignant Melanoma of SkinMapsMechanicsMedical Care CostsMelaninsMelanocytic NeoplasmMelanocytic TumorMelanomaMelanoma SkinMetabolic ProcessesMetabolismMethodsMicroscopeMicroscopicModalityMolecularMorphologyMotionNatureNegative FindingOpticsPathologyPatientsPerformancePhysiciansPhysiologicPhysiologicalReportingResearch PersonnelResearchersResolutionSafetyScanningSideSignal TransductionSignal Transduction SystemsSignalingSkinSkin ImagingSkin Surface MicroscopySkin TissueSoftwareSpecific qualifier valueSpecifiedSpeedStandardizationStructureSuperficial LesionSystemTechnologyTestingTimeTissuesTrainingTreatment CostUnited StatesUniversitiesValidationapplication program interfaceapplication programming interfaceautomated assessmentautomated evaluationbio-markersbiologic markerbiological signal transductionbiomarkercell morphologyclinical imagingcostcutaneous tissuedata acquisitiondata acquisitionsdata interpretationdata standardizationdata standardsdeep learningdeep learning methoddeep learning strategydermal melanomadevelop softwaredeveloping computer softwareearly detectionelectronicelectronic deviceex vivo imagingimage evaluationimage interpretationimagingimaging detectionimaging in vivoimaging platformimaging studyimaging-based detectionimaging-based disease detectionimprovedin vivoin vivo imagingindexingindustrial partnershipindustry partnerindustry partnershipinnovateinnovationinnovativeinstrumentmechanicmechanicalmedical costsmedical expensesmelanocytemetabolic imagingmulti-photonmultidisciplinarymultiphoton excitation microscopymultiphoton microscopynon-invasive imagingnoninvasive imagingoptic imagingopticaloptical imagingperformance testsportabilityprototypereal-time imagesrealtime imageresolutionsrestorationsecond harmonicsoftware developmentstandard of caresub micronsubmicrontemporal measurementtemporal resolutiontime measurementtooltranslational studytwo-dimensionaltwo-photonvalidations
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Full Description

Project Summary
Early detection of melanoma is a key factor in improving patient survival and decreasing treatment

costs. The sensitivity of dermoscopy, the standard of care in the diagnosis of melanocytic lesions, was

reported to be highly variable, ranging between 68-96%, depending on the proficiency of the physician and the

stage of the lesion. Low sensitivity reflects high rates of false-negative findings, which delay diagnosis and

treatment. Thus doctors must err on the side of caution, which leads to an excess of unnecessary biopsies and

increased medical costs. Distinguishing cutaneous melanoma from benign melanocytic nevi with high accuracy

based on dermoscopy remains a challenge even when in the hands of expert clinicians since this approach

only offers a two-dimensional image of the lesion's superficial structure. Ultimately, a biopsy is necessary for

definitive diagnosis by the dermatopathologist, but this too may be affected by inter-observer variability,

resulting in discordant conclusions. A study performed at the Melanoma Center, at UCSF estimated that

214,500 to 643,500 cases of melanocytic neoplasms in the United States would be diagnosed differently by

another dermatopathologist, annually, which has significant consequences for the patient regardless of the

nature of the lesion. We propose to develop and clinically evaluate a fast, large area multiphoton exoscope

(FLAME) as a tool for non-invasive imaging and early detection of melanoma in order to reduce false positives

and false negatives in both dermoscopy and histopathology. Multiphoton microscopy (MPM) is a nonlinear

optical imaging technique that provides unique structural and molecular contrast based on endogenous signals

such as second harmonic generation from collagen and two-photon excited fluorescence from NAD(P)H/FAD+,

keratin, melanin and elastin fibers. In preliminary studies, we demonstrated that macroscopic areas of skin

(cm2 scale) could be mapped out with microscopic resolution within ~2 minutes by combining optical and

mechanical scanning mechanisms with deep learning image restoration. As required by PAR-20-155 our

academic-industrial partnership will deliver a powerful MPM imaging tool to clinicians for non-invasive, real-

time quantitative assessment at the bedside that would not require specialized training. Our proposed

application is for early diagnosis of melanoma, but the approach will have wider impact, for rapid, in vivo

characterization of cellular morphologic and metabolic imaging endpoints in patients. Our specifics aims are:

(1) to develop FLAME, a compact, portable MPM prototype system for rapid, depth-resolved in vivo imaging of

skin, over macroscopic areas (cm2-scale) with microscopic resolution and enhanced molecular contrast; (2) to

implement safety features and demonstrate the technical feasibility; (3) to test the performance of FLAME by

evaluating its ability to provide in vivo quantitative optical endpoints with sufficiently high predictive power to

reliably distinguish benign from early melanoma lesions. We are a multi-disciplinary team of investigators from

UC Irvine, Vidrio Technologies, LLC and Tufts University with 3 to 8 years record of collaboration.

Grant Number: 4R01CA259019-04
NIH Institute/Center: NIH

Principal Investigator: Mihaela Balu

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