Role of 3D Tomography in Breast Cancer
Role of 3D Tomography in Breast Cancer
批准号:
7894671
负责人:
STEPHEN J GLICK
金额:
$36.19万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-07-16 至 2012-06-30
关键词:
3-DimensionalAffectAreaBiopsyBreastBreast Cancer Risk FactorBreast MicrocalcificationClinicalDataDetectionDevicesDiagnosisDiagnosticDiagnostic ImagingDoseEffectivenessElementsFeasibility StudiesFibroadenomaGoalsGrantHuman Subject ResearchImageImageryImplantKnowledgeLesionLesion by MorphologyMalignant - descriptorMalignant NeoplasmsMammographyMasksMethodsMonitorMorphologic artifactsMorphologyNoiseOperative Surgical ProceduresOrganParticipantPatientsPatternPositioning AttributeRadiationReaderResearchRetinal ConeRisk AssessmentRoleScreening procedureSensitivity and SpecificitySliceSolidSpecimenStressStructureSystemTechniquesTechnologyTherapeuticTherapeutic AgentsThree-Dimensional ImagingTissuesTumor VolumeVariantWidthWomanX-Ray Computed Tomographybreast densitydesigndetectordiagnostic accuracyimage guided interventionimage processingimprovedinterestknowledge of resultsmalignant breast neoplasmminimally invasiveprototypepublic health relevancesoft tissuetomographytool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant):This revised application is responsive to PAR-08-147 (reissue of PAR-06-293), "Quick-Trials for Imaging and Image-Guided Interventions: Exploratory Grants (R21)". The proposed research is a feasibility study that is organ specific and is aimed at determining the ability of a dedicated breast computed tomography system (herein referred to as breast CT system) to visualize lesions. Superposition of breast structures in mammography may result in missed cancers due to 'masking' effect, or may mimic the presence of a lesion resulting in additional imaging or biopsy. Computed Tomographic (CT) Imaging of the breast can overcome this superposition problem, and provide much improved contrast, thus improving detectability. Further, CT imaging of the breast can be performed with no physical compression of the breast, alleviating patient discomfort. It can provide for 3-D lesion morphology, which could serve as a diagnostic indicator, and for better quantitative assessment of breast glandular content, a likely risk factor for breast cancer. This research is to demonstrate that image quality improvements achieved with advanced image processing approaches could improve lesion visualization and provide for better delineation of its margins, using a three-dimensional (3-D) breast imaging system with isotropic voxel size. Improved visualization of lesions and its margins would improve the confidence to determine malignancy and could potentially improve detection. Determination of lesion margins and lesion volume are also necessary for surgical planning and for accurate monitoring and early determination of the effectiveness of therapeutic agents and methods. The research plan includes studies to determine the ability of the dedicated clinical prototype breast CT system to visualize lesions; to determine if the 3-D morphology provides for improved determination of malignancy; to determine if quantitative CT numbers can provide for improved confidence to determine malignancy; and to obtain volumetric estimates of breast density, a likely risk factor for breast cancer. The results from this study will allow us to better define the role of a dedicated 3-D cone-beam flat-panel CT system in breast cancer and will allow us to determine the effectiveness of image processing approaches for improved clinical image quality. A well- designed dedicated breast CT system with advanced image processing techniques can serve as a platform technology for screening and diagnostic imaging, implant imaging, 3-D presurgical planning, monitoring preoperative treatment, and guidance in minimally invasive surgery. PUBLIC HEALTH RELEVANCE: Volumetric 3-D imaging with a dedicated breast CT system has the potential to be an effective tool for monitoring therapeutic treatments and can overcome the tissue superposition problem in mammography, which results in missed cancers and unnecessary recall of the patient for additional imaging. In this research, we propose to conduct a clinical feasibility study with a prototype breast CT system and develop and evaluate methods to improve contrast that could result in improved detection, diagnosis, and management of breast cancer.
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DOI:
10.1111/tbj.12327
发表时间:
2014-11
期刊:
The breast journal
影响因子:
--
作者:
[O'Connell AM, Karellas A, Vedantham S]
通讯作者:
Vedantham S
DOI:
10.1002/mp.12213
发表时间:
2017-06
期刊:
Medical physics
影响因子:
3.8
作者:
[Shi L, Vedantham S, Karellas A, Zhu L]
通讯作者:
Zhu L
DOI:
10.1053/j.sult.2017.09.001
发表时间:
2018-03
期刊:
Seminars in ultrasound, CT, and MR
影响因子:
--
作者:
[O'Connell AM, Karellas A, Vedantham S, Kawakyu-O'Connor DT]
通讯作者:
Kawakyu-O'Connor DT
DOI:
10.1038/s41598-020-77923-0
发表时间:
2020-12-03
期刊:
Scientific reports
影响因子:
4.6
作者:
[Fu Z, Tseng HW, Vedantham S, Karellas A, Bilgin A]
通讯作者:
Bilgin A
DOI:
10.1088/0031-9155/57/23/n457
发表时间:
2012-12-07
期刊:
Physics in medicine and biology
影响因子:
3.5
作者:
[Jones BL, Manohar N, Reynoso F, Karellas A, Cho SH]
通讯作者:
Cho SH
共 8 条
Development of a Photon Counting Detector for CT Breast Imaging
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批准号:8220792
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项目类别:
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资助金额:$58.8万
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财政年份:2010
-
负责人:STEPHEN J GLICK
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依托单位:
Development of a Photon Counting Detector for CT Breast Imaging
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批准号:8068337
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项目类别:
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资助金额:$60.73万
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财政年份:2010
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负责人:STEPHEN J GLICK
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依托单位:
Development of a Photon Counting Detector for CT Breast Imaging
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批准号:7888416
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项目类别:
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资助金额:$61.86万
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财政年份:2010
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负责人:STEPHEN J GLICK
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依托单位:
Development of a Photon Counting Detector for CT Breast Imaging
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批准号:8456064
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项目类别:
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资助金额:$52.1万
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财政年份:2010
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负责人:STEPHEN J GLICK
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依托单位:
Role of 3D Tomography in Breast Cancer
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批准号:7674447
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项目类别:
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资助金额:$36.08万
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财政年份:2009
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负责人:STEPHEN J GLICK
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依托单位:
3D PET Reconstruction Using Generalized Natural Pixels
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批准号:7660259
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项目类别:
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资助金额:$18.01万
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财政年份:2009
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负责人:STEPHEN J GLICK
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依托单位:
3D PET Reconstruction Using Generalized Natural Pixels
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批准号:7753195
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项目类别:
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资助金额:$21.68万
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财政年份:2009
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负责人:STEPHEN J GLICK
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依托单位:
Iterative Reconstruction for Breast Tomosynthesis
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批准号:7392305
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项目类别:
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资助金额:$30.43万
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财政年份:2005
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负责人:STEPHEN J GLICK
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依托单位:
Iterative Reconstruction for Breast Tomosynthesis
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批准号:7590341
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项目类别:
-
资助金额:$30.43万
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财政年份:2005
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负责人:STEPHEN J GLICK
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依托单位:
Iterative Reconstruction for Breast Tomosynthesis
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批准号:6969515
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项目类别:
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资助金额:$29.04万
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财政年份:2005
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负责人:STEPHEN J GLICK
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依托单位:
Iterative Reconstruction for Breast Tomosynthesis
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批准号:7227827
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项目类别:
-
资助金额:$30.43万
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财政年份:2005
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负责人:STEPHEN J GLICK
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依托单位:
Iterative Reconstruction for Breast Tomosynthesis
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批准号:7081324
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项目类别:
-
资助金额:$29.31万
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财政年份:2005
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负责人:STEPHEN J GLICK
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依托单位:
Feasibility of CT Mammography Using Flat Panel Detectors
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批准号:6522714
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项目类别:
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资助金额:$26.02万
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财政年份:2001
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负责人:STEPHEN J GLICK
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依托单位:
Feasibility of CT Mammography Using Flat Panel Detectors
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批准号:6941628
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项目类别:
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资助金额:$26.39万
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财政年份:2001
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负责人:STEPHEN J GLICK
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依托单位:
Feasibility of CT Mammography Using Flat Panel Detectors
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批准号:6789901
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项目类别:
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资助金额:$26.39万
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财政年份:2001
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负责人:STEPHEN J GLICK
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依托单位:
Feasibility of CT Mammography Using Flat Panel Detectors
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批准号:6652008
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项目类别:
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资助金额:$32.99万
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财政年份:2001
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负责人:STEPHEN J GLICK
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依托单位:
Feasibility of CT Mammography Using Flat Panel Detectors
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批准号:6364309
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项目类别:
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资助金额:$30.61万
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财政年份:2001
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负责人:STEPHEN J GLICK
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依托单位:
IMPROVED QUANTITATIVE ACCURACY OF SPECT-PET IMAGING
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批准号:6376869
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项目类别:
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资助金额:$23.11万
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财政年份:1998
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负责人:STEPHEN J GLICK
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依托单位:
IMPROVED QUANTITATIVE ACCURACY OF SPECT-PET IMAGING
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批准号:6173878
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项目类别:
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资助金额:$22.44万
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财政年份:1998
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负责人:STEPHEN J GLICK
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依托单位:
IMPROVED QUANTITATIVE ACCURACY OF SPECT-PET IMAGING
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批准号:2680550
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项目类别:
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负责人:STEPHEN J GLICK
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依托单位:
海外基金