Coregistered Photoacoustic and Ultrasound Imaging for Ovarian Cancer Diagnosis and Risk Management
Coregistered Photoacoustic and Ultrasound Imaging for Ovarian Cancer Diagnosis and Risk Management
批准号:
10539267
负责人:
Matthew A Powell
金额:
$51.21万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-01-01 至 2024-12-31
关键词:
AcousticsAlgorithmsBenignBiological MarkersCA-125 AntigenCancer DetectionCessation of lifeClassificationCompensationDataDevelopmentDevicesDiagnosisDiseaseDoppler UltrasoundEarly DiagnosisEffectivenessEmerging TechnologiesEpithelial ovarian cancerFatality rateFunctional ImagingGrowthHemoglobinHigh Risk WomanImageImaging DeviceImaging technologyIncidenceLasersLesionLightMagnetic Resonance ImagingMalignant - descriptorMalignant Female Reproductive System NeoplasmMalignant NeoplasmsMalignant neoplasm of ovaryMapsMeasuresModalityModelingMonitorMorbidity - disease rateOperative Surgical ProceduresOpticsOvarianOvarian MassOvarian TissueOvariectomyOvaryOxygenPatientsPelvic ExaminationPenetrationPhysiologic pulsePositron-Emission TomographyPredictive ValueProcessResolutionRiskRisk ManagementRoleScreening for Ovarian CancerScreening procedureSerumStromal NeoplasmSurvival RateSystemTechniquesTestingTimeTissue SampleTracerTransvaginal UltrasoundTumor AngiogenesisTumor OxygenationUltrasonic TransducerUltrasonographyUnnecessary SurgeryVaginaWomanWomen&aposs GroupWorkX-Ray Computed Tomographyabsorptionaccurate diagnosisadvanced diseaseangiogenesiscancer diagnosiscancer riskchemotherapyclinical practicecosthigh risk populationimaging biomarkerimaging modalityimprovedinterestnon-invasive imagingnoninvasive diagnosisoptoacoustic tomographyphotoacoustic imagingpredictive modelingprospectiveradiologistscreeningstandard of caretreatment responsetumortumor hypoxiatumor metabolismultrasounduncertain malignant potential neoplasmvascular factor
中文摘要
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英文摘要
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian cancer diagnosis
and risk management
Abstract
Worldwide, the estimated annual incidence of ovarian cancer is 204,000, with 125,000 deaths. Despite
advances in therapy, ovarian cancer remains the most deadly of the gynecological cancers. Less than
30% of women with advanced stage disease survive long-term. One of the reasons for the high fatality
rate is that more than 70% of women with ovarian cancer are diagnosed with advanced disease.
Photoacoustic tomography is an emerging technology that maps tumor vasculature content and oxygen
saturation, which are functional biomarkers of malignant development. Using co-registered
photoacoustic tomography (PAT) and ultrasound (US), we have developed a new noninvasive
transvaginal imaging device for non-invasive diagnosis of ovarian cancer. Initial data have shown that
co-registered PAT/US identifies invasive epithelial ovarian cancers by demonstrating extensively
distributed and higher levels of relative total hemoglobin (rHbT) in the US-identified region of interest
(ROI), as compared with more scattered and lower levels of relative total hemoglobin in benign and
normal ovaries (p=0.01). PAT/US identifies invasive epithelial ovarian cancers, as well as non-invasive
borderline and stromal tumors, by differentiating the lower SO2 in the US-identified ROI from the higher
values in benign and normal ovaries (p=0.003).
In this proposed work, we will 1) optimize our co-registered photoacoustic and ultrasound system and
user interface, 2) develop and validate classification models using photoacoustic functional imaging
biomarkers, PAT/US spectral features, and the known biomarker CA125, and 3) develop light fluence
correction algorithms for quantitative photoacoustic imaging to characterize ovarian tissue vasculature.
We will prospectively assess the ability of co-registered PAT/US to assist conventional imaging for
more accurate diagnosis of ovarian cancers and reduction of benign surgeries, without compromising
cancer detection. We will also monitor a group of high-risk women to determine if co-registered
PAT/US can be used as a potential sensitive and specific screening tool to differentiate normal from
early angiogenesis changes of the malignant process. The successful completion of the project will
provide a means to improve the current clinical practice.
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Coregistered Photoacoustic and Ultrasound Imaging for Ovarian Cancer Diagnosis and Risk Management
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批准号:9887164
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项目类别:
-
资助金额:$52.17万
-
财政年份:2020
-
负责人:Matthew A Powell
-
依托单位:
Coregistered Photoacoustic and Ultrasound Imaging for Ovarian Cancer Diagnosis and Risk Management
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批准号:10321234
-
项目类别:
-
资助金额:$51.21万
-
财政年份:2020
-
负责人:Matthew A Powell
-
依托单位:
海外基金