grant

Pivotal Clinical Study of the TruScore Device for Non-Invasive Skin Cancer Diagnostics

Organization VERISKIN, INC.Location SAN DIEGO, UNITED STATESPosted 1 May 2016Deadline 30 Jun 2026
NIHUS FederalResearch GrantFY2024Accuracy of DiagnosisAdoptionAssessment instrumentAssessment toolBenignBiopsyBloodBlood Reticuloendothelial SystemBlood VesselsBlood flowBreakthrough deviceCancer DetectionCancer DiagnosticsCancer InductionCancersCaringCicatrixClinicalClinical DataClinical ResearchClinical StudyClinical TrialsCoupledCutaneousDermatologistDermatologyDetectionDevice ApprovalDevice Approval ProcessDevicesDiagnosisDiagnosticDiagnostic DeviceDiagnostic EquipmentDiagnostic MethodDiagnostic ProcedureDiagnostic TechniqueEarly DiagnosisEvaluationFailureFundingGoalsGrantHealth Care CostsHealth Care SystemsHealth CostsHealthcareHealthcare CostsHealthcare SystemsIRBIRBsImageInstitutional Review BoardsIntercellular FluidInterstitial FluidsLesionLightMachine LearningMalignantMalignant - descriptorMalignant NeoplasmsMalignant Skin NeoplasmMalignant TumorMalpracticeMarketingMeasurementMeasuresMethodsMorphologyMulti-center clinical studyMulti-site clinical studyMulticenter clinical studyMultisite clinical studyNeoplasmsNetwork-basedNon-Invasive DetectionNoninvasive DetectionOpticsPathologic AngiogenesisPathologic NeovascularizationPathological AngiogenesisPathological NeovascularizationPathway interactionsPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPerformancePhotoradiationPrimary CareProbabilityProceduresProductionProviderResearchRiskScarsScreening for Skin CancerSensitivity and SpecificitySeriesSkinSkin AbnormalitiesSkin CancerSpecialistSpecificityTechnologyTrainingTreatment CostTumor TissueUncertaintyVascular resistanceVascularizationWorkWound Infectionabsorptionadoption by clinicianadoption by healthcare providersadoption by physicianadoption by providercarcinogenesisclinical relevanceclinical research siteclinical siteclinically relevantclinician adoptioncostdesigndesigningdiagnostic accuracydiagnostic algorithmdoubtearly detectionfallshealth carehemodynamicsimagingimprovedinfected woundmachine based learningmachine learned algorithmmachine learning algorithmmachine learning based algorithmmalignancymalignant skin tumormechanical pressureneoplasianeoplasm/cancerneoplastic growthneural networknovelopticalpathwaypatient oriented outcomesphysician adoptionpressurepreventpreventingprimary care practiceprogramsprovider adoptionprovider-level adoptionresponseskin cancer early detectionskin lesiontemporal measurementtemporal resolutiontime measurementtrial planningtumorvascularvascular abnormalitywasting
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Full Description

Skin cancer is the most common form of cancer in the US with 5+ million diagnoses, over 27,000 lives lost
each year and the annual treatment costs of over $8 billion. The early diagnosis of skin cancer has a significant

and positive impact on patient outcomes and treatment costs but remains highly subjective and requires highly

specialized training that only dermatologists receive. Currently approved diagnostic devices have low

diagnostic accuracy which has prevented any significant adoption by clinicians. When a patient presents with a

suspicious skin lesion, uncertainty in the initial evaluation by a dermatologist often leads to biopsies that

suggest that no subsequent treatment is necessary while some lesions that are not biopsied do require urgent

treatment. False positives subject patients to unnecessary, invasive procedures (harms of scaring and wound

infections), reduce provider’s accessibility to other patients needing more urgent treatments and the health

care system to unnecessary costs. False negatives result in delayed treatment, adverse patient outcomes and

avoidable health care costs. This diagnostic problem is exacerbated when a patient first presents to a primary

care practice due to much lower diagnostic accuracy; here, some patients are referred unnecessarily to

dermatologists while many skin cancers go undetected. Overall, the lack of accurate, objective assessment

tool for frontline providers leads to preventable loss of lives and costs the US healthcare system over $3B each

year; monies that are unnecessarily wasted. The Veriskin’s TruScore device is a proprietary, non-invasive, low-

cost, easy-to-use, hand-held unit that supports the diagnosis of skin cancer. It rapidly and objectively

determines whether a suspicious skin lesion is malignant. The device provides a score of 0 to 100 indicating

the probability of malignancy. The TruScore device works by detecting and analyzing force-induced

hemodynamic abnormalities due to pathological angiogenesis which is a well-established early hallmark of

cancer. Pilot clinical studies indicate >99% sensitivity and >94% specificity in differentiating of skin cancer from

a variety of benign lesions. The TruScore device has been granted FDA’s Breakthrough Device Designation

Status in 2020.The device will be useful at all levels of care, but the greatest benefits to patients may result

when the device is used in primary care practice. The specific goal of this project is to perform a pivotal clinical

trial and receive FDA’s premarket approval for the TruScore device for use in both, primary care and

dermatology practices.

The long-term goal of the project is to achieve widespread clinical adoption of the simple-to-use and low-cost

non-invasive device for skin cancer detection that will: (1) improve patient outcomes by facilitating more

accurate and non-subjective assessment of suspect skin regions by non-expert clinicians, (2) enable precise

targeting of patients for biopsies and escalation of care and (3) reduce skin cancer treatment costs.

Grant Number: 5R44CA203038-06
NIH Institute/Center: NIH

Principal Investigator: MIRIANAS CHACHISVILIS

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