Breast CT scanner for earlier cancer detection
用于早期癌症检测的乳房 CT 扫描仪
基本信息
- 批准号:6933181
- 负责人:
- 金额:$ 85.89万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-09-01 至 2007-08-31
- 项目状态:已结题
- 来源:
- 关键词:X raybioengineering /biomedical engineeringbiomedical equipment developmentbiomedical equipment safetybreast neoplasm /cancer diagnosisclinical researchclinical trial phase Icomputed axial tomographycomputer assisted diagnosiscomputer simulationcomputer system design /evaluationdiagnosis design /evaluationdiagnosis quality /standardearly diagnosisfemalehuman subjectimage enhancementmathematicspatient oriented researchradiation dosagewomen&aposs health
项目摘要
DESCRIPTION (provided by applicant): Breast cancer is a disease with high
incidence in the U.S. and elsewhere, and population-level methods of fighting
this disease are aimed primarily on screening, using mammography for early
detection. The median size of breast cancer found using mammography is
approximately 11 mm. Based on extensive preliminary studies involving computer
simulations, physical measurements, and cadaver breast imaging, we have found
that breast CT may be able to routinely detect much smaller breast tumors, in
the 3 to 5 mm range. Importantly, the radiation dose of breast CT performed at
80 kVp was found in detailed studies to be comparable to that of mammography.
It is not possible to image the breast alone on a live woman using a clinical
CT scanner. Therefore, in this Bioengineering Research Partnership proposal, we
have teamed with scientists from around the country to design, build, and test
a CT scanner designed to image the breast. A team comprised of medical
physicists, physicians, mechanical and electrical engineers, and breast cancer
advocates will collaborate on the design of the breast CT scanner. Cone beam
flat panel technology will be used to produce a scanner capable of 10 second
breast scanning, and the scanner development will also include a breast
immobilization system (acrylic cylinders), a breast CT table, a fast
reconstruction computer, and a computer workstation customized for efficient
viewing breast CT images. The scanner will be built, tested, and optimized at
UC Davis over a period of 3 years involving 9 specific aims. After the breast
CT scanner is tested in a brief phase I trial (2 specific aims), it will be
moved to the breast imaging clinic for a phase II trial where approximately 120
women will be imaged (4 specific aims). This phase II trial will evaluate the
efficacy of breast CT for the early detection of breast cancer in a group of
women likely to have breast cancer (BIRADS 4 & 5). Additionally, the breast
image data will be studied for its utility in automating the analysis of the
normal breast architecture, and for computerized cancer detection. In year 5 of
the proposed research, two specific aims utilize the breast CT data and
corresponding mammography images (on -240 breasts) to evaluate the ideal
observer performance and human (mammographer) detection performance attributes
of the breast CT scanner. At the end of the proposed research involving 17
specific aims, the potential of breast CT will have been evaluated both
qualitatively and quantitatively. A tested, high quality prototype breast CT
scanner would be ready to be enlisted in a phase III trial (beyond the scope of
this proposed research), if further testing is warranted. Performance data
acquired in the present study would allow the proper design (power, etc.) of a
phase III trial. If breast CT lives up to its enormous potential based on
initial imaging, breast cancer would be detectable far before metastases occurs
- for example, a 3 mm tumor contains only 2 percent of the cell count of an 11
mm lesion, and a 5 mm lesion contains only 9 percent of the cell count. Based
on a 100 day volume doubling time, detection of a 5 mm lesion would lead to
0.93 year earlier detection, and routine detection of 3 mm lesions would result
in 1.5 year earlier detection over mammography. Surgical removal of early
cancers will effectively result in cure for the majority of women screened
using this technology. While breast CT would probably improve cancer detection
in all women, some women may have risk factors (dense breasts, genetic markers,
etc.) that particularly warrant screening using breast CT. The Phase II trial
will shed more light on this issue.
描述(申请人提供):乳腺癌是一种高致癌性疾病
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
JOHN M BOONE其他文献
JOHN M BOONE的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('JOHN M BOONE', 18)}}的其他基金
Hybrid Nuclear/X-ray Projection System for Mouse Imaging
用于小鼠成像的混合核/X 射线投影系统
- 批准号:
6951606 - 财政年份:2004
- 资助金额:
$ 85.89万 - 项目类别:
Hybrid Nuclear/X-ray Projection System for Mouse Imaging
用于小鼠成像的混合核/X 射线投影系统
- 批准号:
6848595 - 财政年份:2004
- 资助金额:
$ 85.89万 - 项目类别:
Breast CT scanner for earlier cancer detection
用于早期癌症检测的乳房 CT 扫描仪
- 批准号:
7114357 - 财政年份:2002
- 资助金额:
$ 85.89万 - 项目类别:
Breast CT scanner for earlier cancer detection
用于早期癌症检测的乳房 CT 扫描仪
- 批准号:
8060548 - 财政年份:2002
- 资助金额:
$ 85.89万 - 项目类别:
Breast CT scanner for earlier cancer detection
用于早期癌症检测的乳房 CT 扫描仪
- 批准号:
6789982 - 财政年份:2002
- 资助金额:
$ 85.89万 - 项目类别:
Breast CT scanner for earlier cancer detection
用于早期癌症检测的乳房 CT 扫描仪
- 批准号:
7342661 - 财政年份:2002
- 资助金额:
$ 85.89万 - 项目类别:
Breast CT scanner for earlier cancer detection
用于早期癌症检测的乳房 CT 扫描仪
- 批准号:
8269559 - 财政年份:2002
- 资助金额:
$ 85.89万 - 项目类别:














{{item.name}}会员




