Advancing Virtual Colonoscopy for Early Cancer Screening
推进虚拟结肠镜检查以进行早期癌症筛查
基本信息
- 批准号:9753978
- 负责人:
- 金额:$ 42.64万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-06-03 至 2021-05-31
- 项目状态:已结题
- 来源:
- 关键词:AdenocarcinomaAdvocateAgeBloodCause of DeathClassificationClinicClinicalColonColonoscopyColorectal PolypComputed Tomographic ColonographyDNADataDecision MakingDetectionDevelopmentDiagnosisDoseExcisionFamilyFamily memberFecesGoalsGoldGrowthHealthHospitalsHyperplasiaHyperplastic PolypImageImage EnhancementIncidenceInterventionLarge Intestine CarcinomaMalignant - descriptorMalignant NeoplasmsMedicareMethodsMicroscopyModalityModelingMucous MembraneNamesNatureNoiseOperative Surgical ProceduresOpticsPathologicPatientsPerformancePolypsPopulationPrediction of Response to TherapyProceduresRadiationRecommendationResourcesRiskRoentgen RaysScreening for cancerSedation procedureSeriesSocietiesStrokeStructureSymptomsTestingTextureTimeTissuesTranslatingUnited StatesVariantWomanX-Ray Computed Tomographyadenomabasecancer diagnosiscancer preventioncolon cancer preventioncolorectal cancer preventioncompliance behaviorcomputer aided detectioncostcost effectiveexpectationhigh riskimage processingimage reconstructionimaging biomarkerimaging potentialinnovationinsightlow-dose spiral CTmanminimally invasivemortalityoutcome predictionpersonalized health carepersonalized managementprototyperadiation riskscreeningscreening programwasting
项目摘要
Colorectal carcinoma (CRC) remains the third most commonly diagnosed cancer and the second leading cause
of death from cancer for both man and women in the United States. Often it is diagnosed at an advanced stage,
after the patient has developed symptoms, explaining its high mortality rate. Fortunately, most CRC are
preventable because they arise from colorectal polyps over a 5 to 15 year period of malignant transformation
and, therefore, screening programs to detect and remove the polyps (or precursor) during the transformation
period have been advocated for cancer prevention. Unfortunately many people (at present time, more than
35% of the population, a very high rate for the high CRC incidence) do not follow the recommendation and, on
the other hand, many of the screened people are either under- or over-diagnosed for several reasons related to
the limitations of currently available screening methods. The health relatedness of this project is to advance a
convenient, nearly risk-free screening method, called computed tomography (CT)-based virtual colonoscopy
(VC) or CT colonography (CTC), to overcome the limitations.
Optical colonoscopy (OC) is currently the gold standard for detection and removal of the polyps. Because
OC is somehow too invasive, compliance to recommendation with OC screening would remain a concern.
Furthermore, OC would demand a great resource to screen the large population as recommended with age over
50 and, therefore, would not be an optimal primary screening test. On the other hand, stool-based tests (e.g.
fecal blood or DNA tests) are easy to perform but have a very low detectability. We have been the pioneers in
developing CTC as a minimal-invasive cost-effective method to relieve the burden of OC for the screening
purpose and have shown its comparable performance to OC on detection of polyps with size 8mm and larger.
We understand very well on the two major concerns on the current CT radiation level and the current CTC
inconsistency in detecting small polyps (<10mm), which were discussed by the expert panel if CTC is ready as
massive screening for Medicare coverage. We have deep insight on CTC potential beyond the detection task
for characterizing Hyperplastic (no-risk) vs. Adenoma (risk) polyps for personalized optimal polyp treatment.
This proposal intends to relieve the concerns and bring the current CTC detection-only paradigm up to a new
level of not only detecting polyps, but also characterizing the detected polyps at the screening stage via the
following two specific aims: (1). To develop and evaluate adaptive image reconstruction methods to retain
adequate image quality (particularly to enhance image textures) for polyp detection and characterization with
as low as achievable CT radiation. (2). To explore and evaluate image texture features as imaging biomarkers
to detect polyps and characterize polyp subtypes.
We hypothesize that the above specific aims will advance CTC to be a cost-effective screening test and to
supplement OC for a streamlined procedure to increase patient compliance and reduce CRC incident rate.
结直肠癌(CRC)仍然是第三大最常诊断的癌症和第二大原因
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(1)
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JEROME Z LIANG其他文献
JEROME Z LIANG的其他文献
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{{ truncateString('JEROME Z LIANG', 18)}}的其他基金
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
通过超低剂量计算机断层扫描筛查肺癌
- 批准号:
8724925 - 财政年份:2010
- 资助金额:
$ 42.64万 - 项目类别:
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
通过超低剂量计算机断层扫描筛查肺癌
- 批准号:
8240085 - 财政年份:2010
- 资助金额:
$ 42.64万 - 项目类别:
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
通过超低剂量计算机断层扫描筛查肺癌
- 批准号:
8068819 - 财政年份:2010
- 资助金额:
$ 42.64万 - 项目类别:
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
通过超低剂量计算机断层扫描筛查肺癌
- 批准号:
7986503 - 财政年份:2010
- 资助金额:
$ 42.64万 - 项目类别:
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
通过超低剂量计算机断层扫描筛查肺癌
- 批准号:
8517444 - 财政年份:2010
- 资助金额:
$ 42.64万 - 项目类别:
Texture-Based CAD for Cancer Screening from 3D Images
基于纹理的 CAD 从 3D 图像进行癌症筛查
- 批准号:
7659680 - 财政年份:2008
- 资助金额:
$ 42.64万 - 项目类别:
Texture-Based CAD for Cancer Screening from 3D Images
基于纹理的 CAD 从 3D 图像进行癌症筛查
- 批准号:
7657558 - 财政年份:2008
- 资助金额:
$ 42.64万 - 项目类别:
Texture-Based CAD for Cancer Screening from 3D Images
基于纹理的 CAD 从 3D 图像进行癌症筛查
- 批准号:
7196610 - 财政年份:2007
- 资助金额:
$ 42.64万 - 项目类别:
Developing Virtual Colonoscopy for Cancer Screening
开发用于癌症筛查的虚拟结肠镜检查
- 批准号:
7429730 - 财政年份:2001
- 资助金额:
$ 42.64万 - 项目类别:
Developing Virtual Colonoscopy for Cancer Screening
开发用于癌症筛查的虚拟结肠镜检查
- 批准号:
7237911 - 财政年份:2001
- 资助金额:
$ 42.64万 - 项目类别:
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