Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CT
通过高分辨率 3D 乳腺 CT 降低浸润性小叶癌的乳房切除率
基本信息
- 批准号:9455075
- 负责人:
- 金额:$ 21.53万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-01 至 2019-03-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAlgorithmsBilateralBreastBreast-Conserving SurgeryClinicClinical ResearchClinical TrialsContralateral BreastContrast SensitivityDiagnosisDiseaseEligibility DeterminationEvaluationExcisionHistologicHistopathologyImageImage AnalysisInferiorIpsilateralLesionLobularLobular CarcinomaLocationMagnetic Resonance ImagingMalignant NeoplasmsMammary Gland ParenchymaMammary UltrasonographyMammographyManualsMastectomyMeasurementMedical OncologyMeta-AnalysisMethodsModalityMotionOperative Surgical ProceduresOrganOutcomePathologyPatientsPerformancePhaseRadiology SpecialtyReference StandardsResearchResearch PersonnelResolutionScanningSecond Primary CancersSurgical OncologySurgical PathologyTechniquesThree-Dimensional ImagingTumor VolumeUltrasonographyWomanX-Ray Computed Tomographybreast imagingclinically relevantcontrast enhanceddesignimage guided interventionimaging modalityimprovedinfiltrating duct carcinomainterestmalignant breast neoplasmprospectivepublic health relevanceradiologisttumor
项目摘要
DESCRIPTION (provided by applicant): Cancers of the breast are the second most common type of breast cancers (after invasive ductal carcinoma, IDC) and account for 10-15% of all breast cancers. More than any other breast cancer, lobular cancers present as multifocal, multicentric and bilateral disease. Among histological types, re- excision rates are highest (28.3%) for invasive lobular carcinoma and substantially more than invasive ductal carcinoma (19.1%). For subjects diagnosed with lobular carcinoma, breast MRI is currently the preferred modality for evaluating disease extent as ultrasound and mammography have been shown to be inferior in accurately estimating tumor size. Meta-analysis of pooled data have shown that breast MRI has a sensitivity of 93.3% for detecting lobular carcinoma with additional lesions detected in 32% and 7% of patients in the ipsilateral and contralateral breasts, respectively. However, for approximately 25% to 35% of tumors, the size estimated from breast MRI differs from pathology by more than 1 cm. The use of pre-operative breast MRI for evaluating disease extent has been associated with increased odds for mastectomy. A recent study analyzing 243 patients with invasive lobular carcinoma (ILC) concluded that ILC can be safely treated with conservative surgery but a more accurate preoperative evaluation of tumor size and multifocality is needed to reduce re-excision rate. We hypothesize the high spatial resolution 3D imaging provided by dedicated breast CT that is capable of resolving features in the 200 to 250 microns range would improve the proportion of tumors that are concordant in size with histopathology and hence would increase the likelihood of subjects being treated with breast conserving surgery. Dedicated breast CT does not require physical compression of the breast and takes 10 seconds for a scan. This prospective clinical study is designed to address if all foci observed with contrast-enhanced breast MRI are also visible with contrast-enhanced breast CT (sensitivity) and if the tumor size determined from breast CT is more concordant with pathology than breast MRI. The study will also investigate two automated segmentation and tumor size quantification methods to determine, which quantitative algorithm is more accurate, with tumor size from surgical pathology serving as reference standard. Thus, the proposed study challenges existing paradigms on the accuracy of tumor size measurements and paves for the way for reducing mastectomy rates.
描述(由申请人提供):乳腺癌是第二种最常见的乳腺癌类型(仅次于浸润性导管癌,IDC),占所有乳腺癌的10-15%。与其他乳腺癌相比,小叶癌表现为多灶性、多中心性和双侧性疾病。在组织学类型中,浸润性小叶癌的再切除率最高(28.3%),明显高于浸润性导管癌(19.1%)。对于诊断为小叶癌的受试者,乳腺MRI目前是评价疾病程度的首选方式,因为超声和乳腺X线摄影在准确估计肿瘤大小方面表现较差。汇总数据的荟萃分析显示,乳腺MRI检测小叶癌的灵敏度为93.3%,在同侧和对侧乳腺中分别有32%和7%的患者检测到额外病变。然而,对于大约25%至35%的肿瘤,乳房MRI估计的大小与病理学差异超过1 cm。使用术前乳房MRI评估疾病程度与乳房切除术的可能性增加有关。最近的一项研究分析了243名侵袭性小叶癌(ILC)患者,得出的结论是,ILC可以通过保守手术安全治疗,但需要对肿瘤大小和多灶性进行更准确的术前评估,以降低再次切除率。我们假设,专用乳腺CT提供的高空间分辨率3D成像能够分辨200至250微米范围内的特征,这将提高大小与组织病理学一致的肿瘤比例,从而增加受试者接受保乳手术治疗的可能性。专用乳腺CT不需要对乳房进行物理压迫,扫描时间为10秒。本前瞻性临床研究旨在确定对比增强乳腺MRI观察到的所有病灶是否也可通过对比增强乳腺CT(灵敏度)观察到,以及通过乳腺CT确定的肿瘤大小是否比乳腺MRI更符合病理学。该研究还将研究两种自动分割和肿瘤大小量化方法,以确定哪种定量算法更准确,并将手术病理学的肿瘤大小作为参考标准。因此,这项研究挑战了现有的肿瘤大小测量准确性的范例,并为降低乳房切除率铺平了道路。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Value of BI-RADS 3 Audits.
- DOI:10.26717/bjstr.2022.41.006668
- 发表时间:2022-03
- 期刊:
- 影响因子:0
- 作者:Roychowdhury P;Vijayaraghavan GR;Roubil J;Williams IM;Siddiqui E;Vedantham S
- 通讯作者:Vedantham S
Unifocal Invasive Lobular Carcinoma: Tumor Size Concordance Between Preoperative Ultrasound Imaging and Postoperative Pathology.
- DOI:10.1016/j.clbc.2018.07.017
- 发表时间:2018-12
- 期刊:
- 影响因子:3.1
- 作者:Vijayaraghavan GR;Vedantham S;Santos-Nunez G;Hultman R
- 通讯作者:Hultman R
Photon-counting hexagonal pixel array CdTe detector: Spatial resolution characteristics for image-guided interventional applications.
光子计数六边形像素阵列 CdTe 探测器:图像引导介入应用的空间分辨率特性。
- DOI:10.1118/1.4944868
- 发表时间:2016
- 期刊:
- 影响因子:3.8
- 作者:Vedantham,Srinivasan;Shrestha,Suman;Karellas,Andrew;Shi,Linxi;Gounis,MatthewJ;Bellazzini,Ronaldo;Spandre,Gloria;Brez,Alessandro;Minuti,Massimo
- 通讯作者:Minuti,Massimo
{{
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 }}
SRINIVASAN VEDANTHAM其他文献
SRINIVASAN VEDANTHAM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('SRINIVASAN VEDANTHAM', 18)}}的其他基金
Upright, Low-dose, High-resolution, 3D Breast CT
立式、低剂量、高分辨率、3D 乳腺 CT
- 批准号:
10407991 - 财政年份:2019
- 资助金额:
$ 21.53万 - 项目类别:
Upright, Low-dose, High-resolution, 3D Breast CT
立式、低剂量、高分辨率、3D 乳腺 CT
- 批准号:
10627825 - 财政年份:2019
- 资助金额:
$ 21.53万 - 项目类别:
Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CT
通过高分辨率 3D 乳腺 CT 降低浸润性小叶癌的乳房切除率
- 批准号:
8882960 - 财政年份:2015
- 资助金额:
$ 21.53万 - 项目类别:
Quantitative breast cancer risk index from routine 3-D imaging
常规 3D 成像定量乳腺癌风险指数
- 批准号:
8697025 - 财政年份:2013
- 资助金额:
$ 21.53万 - 项目类别:
Quantitative breast cancer risk index from routine 3-D imaging
常规 3D 成像定量乳腺癌风险指数
- 批准号:
8489847 - 财政年份:2013
- 资助金额:
$ 21.53万 - 项目类别:
Design and Optimization of Dedicated Computed Tomography of the Breast
乳腺专用计算机断层扫描的设计与优化
- 批准号:
8073116 - 财政年份:2009
- 资助金额:
$ 21.53万 - 项目类别:
Design and Optimization of Dedicated Computed Tomography of the Breast
乳腺专用计算机断层扫描的设计与优化
- 批准号:
7731139 - 财政年份:2009
- 资助金额:
$ 21.53万 - 项目类别:
Design and Optimization of Dedicated Computed Tomography of the Breast
乳腺专用计算机断层扫描的设计与优化
- 批准号:
7907802 - 财政年份:2009
- 资助金额:
$ 21.53万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 21.53万 - 项目类别:
Continuing Grant