Automatic Detection of Critical Dermoscopy Features for Basal Cell Carcinoma
Automatic Detection of Critical Dermoscopy Features for Basal Cell Carcinoma
批准号:
8005912
负责人:
WILLIAM V STOECKER
金额:
$11.64万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-17 至 2010-11-30
关键词:
AddressAdultAgreementAlgorithmsAreaAtlasesAutomationBasal cell carcinomaBenignBiological Neural NetworksBiopsyCancer DetectionCaringClassificationClinicClinicalClinical TrialsColorComputer Vision SystemsComputer softwareComputer-Assisted Image AnalysisDatabasesDermatologyDermoscopyDetectionDevelopmentDiagnosisDiagnosticDiscipline of NursingDiscriminationDropsEarly DiagnosisEducational process of instructingEffectivenessEquipmentEuropeEvaluationExcisionExpenditureFamilyGeneral PracticesGoalsGray unit of radiation doseHairHealthcareHuman ResourcesImageIncidenceInternationalLearningLeftLesionLettersLightMarketingMethodsMilitary PersonnelMissouriMonitorNoiseNurse PractitionersPerformancePhasePhysician AssistantsPhysiciansPositioning AttributePrecancerous melanosisPreparationProblem SolvingQuality of CareROC CurveRecommendationRelative (related person)ResearchResearch ProposalsRoleRuralSalesScreening for Skin CancerScreening for cancerSiteSkin CancerSocietiesSpecialistSpeedStagingStructureSystemTechniquesTestingTextTrainingUlcerUncertaintyUnited StatesWorkbaseclinical research sitedesigndigitalexperienceinnovationmedical specialtiesmeetingsmelanomaolder patientpolarized lightprogramspublic health relevanceskillssoftware developmenttooltool developmentweb site
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): SkinScan digital dermoscopy skin cancer detection software, developed by Missouri's S&A, can now detect critical features of early melanoma. However, there is also a need for diagnostic help for the other 90+% of skin cancers. The need for diagnostic improvement in screening for skin cancers may be greatest in those nurse practitioners who now see the majority of elderly patients in some underserved areas. Underserved clinical arenas with a greater than average incidence of skin cancer and significant numbers of nurse practitioners include both civilian and military clinics in the rural Midwest, where S&A is located. This innovative software is a timely development designed to solve problems every healthcare consumer has encountered- too long a wait to get specialty care, uncertainty about the diagnosis when one does get the care, and too much overall expenditure in providing the care. The proposed Phase I research addresses the steps needed to develop the SkinScan automatic detection modules for basal cell carcinoma. The BASAL features, first described by Stoecker and Stolz, will be programmed during Phase I and incorporated in our early detection system. Additional work during Phase I will allow acquisition of more clinical and dermoscopy images, will allow training of the first nurse practitioner, and will allow development of a hierarchical neural network for diagnosis of basal cell carcinoma. With over a decade of development using thousands of images from dermatology practices in the United States and Europe, SkinScan at the end of the Phase II research period will have demonstrated effectiveness in an early cancer detection clinical trial. This trial provides a bridge to market for a product that will result in increased access to high quality care by providing automated diagnostic assistance for the most deadly skin cancer, melanoma, and the most common skin cancer, basal cell carcinoma, by detecting key early features of these skin cancers. The software is designed to guide the non-specialist nurse practitioner or physician assistant, helping to make the biopsy/no biopsy decision, the most critical decision in early detection of skin cancer.
PUBLIC HEALTH RELEVANCE: S&A proposes the SkinScan Training System for Skin Cancer Screening, to meet the needs of nurse practitioners in finding skin cancers. S&A offers practitioners an integrated database system that allows even those without specialized dermatology training to identify skin cancers at a very early stage, before they become deadly. The S&A SkinScan Training System is comprised of 3 parts: Dermoscopy cancer detection software with searchable atlas, DermLite D3 cross-polarized light dermoscope, and Melanoma and Mimics Clinical Tutorial. Phase I of this research proposal contains key milestones in development of the most advanced software dedicated to identifying signs on dermoscopy images of the most common skin cancer, basal cell carcinoma. SkinScan is in an excellent position to compete in the marketplace. Key personnel at S&A bring decades of experience in software development and a record of introducing innovative software to the dermatology market. The SkinScan system is the first such product to be marketed to nurse practitioners, physician assistants, and family practitioners. This proposal concentrates on nurse practitioners, the largest single group of non-physician practitioners seeing primarily adults in a general practice setting. Phase I and Phase II of this proposal should allow us to reach the software sale stage. After that, integration with strategic partners will allow market expansion.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1111/j.1600-0846.2012.00630.x
发表时间:
2013-02
期刊:
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
影响因子:
--
作者:
[Cheng B, Joe Stanley R, Stoecker WV, Stricklin SM, Hinton KA, Nguyen TK, Rader RK, Rabinovitz HS, Oliviero M, Moss RH]
通讯作者:
Moss RH
Assay for Detection of Loxosceles Envenomation
-
批准号:7913487
-
项目类别:
-
资助金额:$40.91万
-
财政年份:2008
-
负责人:WILLIAM V STOECKER
-
依托单位:
Assay for Detection of Loxosceles Envenomation
-
批准号:7405490
-
项目类别:
-
资助金额:$11.19万
-
财政年份:2008
-
负责人:WILLIAM V STOECKER
-
依托单位:
Assay for Detection of Loxosceles Envenomation
-
批准号:8101097
-
项目类别:
-
资助金额:$39.14万
-
财政年份:2008
-
负责人:WILLIAM V STOECKER
-
依托单位:
Automatic Detection of Critical Dermoscopy Features for Melanoma Diagnosis
-
批准号:7284886
-
项目类别:
-
资助金额:$49.44万
-
财政年份:2003
-
负责人:WILLIAM V STOECKER
-
依托单位:
Identification of Critical Dermoscopic Features
-
批准号:6652363
-
项目类别:
-
资助金额:$10.0万
-
财政年份:2003
-
负责人:WILLIAM V STOECKER
-
依托单位:
Automatic Detection of Critical Dermoscopy Features for Melanoma Diagnosis
-
批准号:7163231
-
项目类别:
-
资助金额:$50.48万
-
财政年份:2003
-
负责人:WILLIAM V STOECKER
-
依托单位:
ALGORITHMS FOR PIGMENTED LESION SCREENING AND DETECTION
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批准号:6172283
-
项目类别:
-
资助金额:$40.19万
-
财政年份:1993
-
负责人:WILLIAM V STOECKER
-
依托单位:
ALGORITHMS FOR PIGMENTED LESION SCREENING AND DETECTION
-
批准号:6015544
-
项目类别:
-
资助金额:$38.88万
-
财政年份:1993
-
负责人:WILLIAM V STOECKER
-
依托单位:
海外基金