Hyperspectral Assessment & Prediction of Diabetic Foot U
Hyperspectral Assessment & Prediction of Diabetic Foot U
批准号:
7126339
负责人:
Jenny Ellen Freeman
金额:
$78.66万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-30 至 2008-08-31
关键词:
bioimaging /biomedical imagingclinical researchcomputer program /softwarecomputer system design /evaluationdiagnosis design /evaluationdisease /disorder proneness /riskfoothemoglobinhuman subjectimaging /visualization /scanninginsulin dependent diabetes mellituslongitudinal human studypatient oriented researchperipheral blood vesselskin ulcerwound healing
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Foot disease complications seriously impact lives of people with Type 1 diabetes. A quantitative method to evaluate efficacy of therapy, or better, to define tissue at risk & prevent initial ulcer formation would be highly beneficial. HYPERMED'S long-term objective is to reduce frequency of foot ulcers & amputation by developing Foot HyperSpectral Imaging (FHSI) as a camera-based system to 1) identify tissue at risk for ulceration, 2) evaluate an existing ulcer & predict capability of tissue to heal & 3) monitor efficacy of therapy.
FHSI provides a 2-D image with spectral data inherent in each pixel which reflects the presence & concentration of various chemical species that represents a "gradient map" of components. Our Phase II goal is to validate FHSI as a quantitative anatomic metric for assessing therapeutic progress of foot ulcers seen in Type 1 diabetes & identify tissue at risk for future ulceration to assist in prevention. We will build on advances from proof of principle Phase I data & on our other work. Specific aims are to: 1)build upgraded FHSI systems for use at 4 well-respected diabetic clinics with strong Type 1 patient volume in statistically- powered studies, 2)study 50 Type 1 patients with manifest foot ulcers for 6+ months to assess healing or progression, 3)study 160 Type 1 patients at high risk for foot ulceration in a 24-month longitudinal study aimed at predicting ulceration, 4)develop algorithms that will deliver a Hyperspectral Microvascular Index that can be used as a biomarker for tissue viability & wound healing & give a spatial quantitation of risk & 5)validate merit in further developing FHSI using clinical outcome measures & comparing FHSI with existing methods (ABI, laser Doppler, TCPO2) to determine advantages & limitations of FHSI in clinical foot care. Our collaborative effort with the Hospital for Joint Disease, the Cleveland Clinic, Olive View UCLA Medical Center, and the Beth-Israel Deaconness medical centers will be highly advantageous in meeting our specific aims during this research program.
FHSI delivers metabolic information about tissue in an easily interpretable picture that correlates with anatomy. This adds a new dimension to assessment of ulceration risk & tissue healing & allows physicians to target care to specific at risk areas earlier than previously possible. FHSI has clear potential to be a cost effective, easy to use, turn-key camera based tool. If successful, FHSI will address two Healthy People 2010 goals: "Reduce the frequency of foot ulcers in persons with diabetes" & "Reduce the rate of amputations in persons with diabetes". We believe FHSI can have positive impact on quality of life of people with diabetes, impacting morbidity & mortality & lowering overall healthcare costs.
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Hyperspectral Assessment & Prediction of Diabetic Foot U
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批准号:7053112
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项目类别:
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资助金额:$110.71万
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财政年份:2005
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负责人:Jenny Ellen Freeman
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依托单位:
Hyperspectral Imaging to Predict and Assess Foot Ulcers
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批准号:6863008
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项目类别:
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资助金额:$47.77万
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财政年份:2004
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负责人:Jenny Ellen Freeman
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依托单位:
海外基金