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:
    8804248
  • 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 2017-01-31
  • 项目状态:
    已结题

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.

项目成果

期刊论文数量(0)
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Janne Johannes Nappi其他文献

Janne Johannes Nappi的其他文献

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{{ truncateString('Janne Johannes Nappi', 18)}}的其他基金

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
用于 CT 结肠成像中质量检测的深度放射组学学习
  • 批准号:
    9167836
  • 财政年份:
    2016
  • 资助金额:
    $ 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
  • 批准号:
    8621760
  • 财政年份:
    2014
  • 资助金额:
    $ 8.7万
  • 项目类别:
In Vivo Detection of Flat Colorectal Neoplasms with CT Colonography
CT 结肠成像体内检测扁平结直肠肿瘤
  • 批准号:
    7712639
  • 财政年份:
    2009
  • 资助金额:
    $ 8.7万
  • 项目类别:

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