Early diagnosis of colon cancer with computer-aided multi-energy CT colonography
计算机辅助多能CT结肠成像早期诊断结肠癌
基本信息
- 批准号:8621760
- 负责人:
- 金额:$ 8.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-02-11 至 2016-01-31
- 项目状态:已结题
- 来源:
- 关键词:Advisory CommitteesAgeAlgorithmsAmerican Cancer SocietyAmerican College of RadiologyAppearanceCancer EtiologyCessation of lifeClinicalColonColon CarcinomaColonoscopyColorectalColorectal CancerComputed Tomographic ColonographyComputer AssistedContrast MediaDatabasesDehydrationDetectionDevelopmentDiagnosisDiarrheaDoseEarly DiagnosisEvaluationGoalsGuidelinesImageIngestionIntestinesIodineLeadLesionMedicareMethodsModalityMulti-Institutional Clinical TrialNoiseOpticsOralPatientsPerformancePolypoid LesionPolypsPopulationPreparationProtocols documentationRadiationResearchRiskSafetyScanningSchemeSocietiesSourceTechniquesTestingUnited StatesValidationWomanX-Ray Computed Tomographybaseclinically significantcolorectal cancer screeningcompliance behaviorcomputer aided detectiondensityforestimprovedindexinginnovationlaxativemenmortalitynovelolder patientpatient populationpreventpublic health relevanceradiologistreconstructionscreeningsoft tissuesuccessvirtual
项目摘要
DESCRIPTION (provided by applicant): Colon cancer, the second leading cause of cancer deaths for men and women in the United States, is preventable if precursor colonic lesions are detected and removed. Computed tomographic colonography (CTC), also known as virtual colonoscopy (VC), could substantially increase the capacity, safety, and patient compliance of colorectal examinations. CTC has been endorsed as a viable option for colorectal cancer screening by the recent guidelines of the American Cancer Society, U.S. Multi-Society Task Force, and the American College of Radiology. Laxative-free fecal-tagging CTC assisted by computer-aided detection (CAD) is an emerging CTC technique for eliminating of laxative agents or diarrhea-inducing high-osmolar contrast agents from bowel cleansing. A recent large-scale multi-center clinical trial suggests that the combination of laxative-free preparation with ingestion of oral contrast agent and CAD is feasible in making CTC examinations easy for patients to tolerate while detecting polyps e10 mm in size at sensitivity comparable to that of optical colonoscopy (OC). However, non-polypoid flat lesions and small polyps (6-9 mm in size) represent a significant source of false-negative studies. Thus the goal of this project is to develop a novel CAD scheme based on meCTC, denoted as a multi-energy CAD (meCAD) scheme, which overcomes the limitations of the CAD schemes based on single-energy CTC. We hypothesize that the meCAD scheme will (1) yield a high performance in the detection of both polypoid and non-polypoid colorectal lesions comparable to OC, and (2) improve radiologists' performance in the detection of clinically significant colorectal lesions in laxative
free meCTC images at an ultra-low-dose. Our specific aims are (1) Establish a clinical ultra-low-dose meCTC image database for development and evaluation of a meCAD scheme; (2) Develop a novel meCAD scheme that effectively detects colorectal lesions in ultra-low-dose laxative-free meCTC images; (3) Evaluate clinical benefit of the meCAD scheme. Successful development and validation of the meCAD scheme will provide radiologists with an accurate and reliable non-invasive CTC screening scheme for early detection and diagnosis of colorectal lesions to prevent the occurrence of colorectal cancer.
描述(由申请人提供):结肠癌是美国男性和女性癌症死亡的第二大原因,如果检测到并切除前体结肠病变,结肠癌是可以预防的。计算机断层结肠成像(CTC),也称为虚拟结肠镜检查(VC),可以大大提高结肠直肠检查的容量,安全性和患者依从性。CTC已被美国癌症协会、美国多协会工作组和美国放射学会最近的指南认可为结直肠癌筛查的可行选择。计算机辅助检测(CAD)辅助的无泻药粪便标记CTC是一种新兴的CTC技术,用于消除肠道清洁中的泻药或可诱导高渗性造影剂。最近的一项大规模多中心临床试验表明,无泻药制剂与口服造影剂和CAD的摄入相结合是可行的,使CTC检查易于患者耐受,同时以与光学结肠镜(OC)相当的灵敏度检测大小为10 mm的息肉。然而,非息肉样扁平病变和小息肉(大小为6-9 mm)是假阴性研究的重要来源。因此,本项目的目标是开发一种新的CAD方案的基础上meCTC,表示为多能源CAD(meCAD)计划,它克服了CAD计划的基础上单能源CTC的局限性。我们假设,meCAD方案将(1)在检测息肉样和非息肉样结直肠病变方面产生与OC相当的高性能,以及(2)改善放射科医生在轻泻剂治疗中检测临床显著结直肠病变的性能。
超低剂量的免费meCTC图像我们的具体目标是(1)建立临床超低剂量meCTC图像数据库,用于开发和评价meCAD方案;(2)开发一种新型meCAD方案,可有效检测超低剂量无泻药meCTC图像中的结直肠病变;(3)评价meCAD方案的临床获益。meCAD方案的成功开发和验证将为放射科医生提供准确可靠的无创CTC筛查方案,用于早期发现和诊断结直肠病变,预防结直肠癌的发生。
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(0)
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Janne Johannes Nappi其他文献
Janne Johannes Nappi的其他文献
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Deep radiomic colon cleansing for laxative-free CT colonography
深度放射组学结肠清洗,用于无泻药 CT 结肠成像
- 批准号:
9297792 - 财政年份:2017
- 资助金额:
$ 8.7万 - 项目类别:
Deep-radiomics-learning for mass detection in CT colonography
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9167836 - 财政年份:2016
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$ 8.7万 - 项目类别:
Deep-radiomics-learning for mass detection in CT colonography
用于 CT 结肠成像中质量检测的深度放射组学学习
- 批准号:
9316607 - 财政年份:2016
- 资助金额:
$ 8.7万 - 项目类别:
Early diagnosis of colon cancer with computer-aided multi-energy CT colonography
计算机辅助多能CT结肠成像早期诊断结肠癌
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8804248 - 财政年份:2014
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$ 8.7万 - 项目类别:
In Vivo Detection of Flat Colorectal Neoplasms with CT Colonography
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7712639 - 财政年份:2009
- 资助金额:
$ 8.7万 - 项目类别:
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