A Fluorescence Histology System for In Vivo Breast Tumor Margin Assessment
用于体内乳腺肿瘤边缘评估的荧光组织学系统
基本信息
- 批准号:8225170
- 负责人:
- 金额:$ 13.28万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-03-01 至 2012-06-30
- 项目状态:已结题
- 来源:
- 关键词:Adipose tissueAdoptionAgeAlgorithmsAnatomyAnimalsAreaBedsBody mass indexBreastBreast-Conserving SurgeryCarcinoma in SituCell NucleusCessation of lifeClassificationClinicalContrast MediaDetectionDevelopmentDevicesDyesExcisionFiber OpticsFluorescenceFrozen SectionsGenerationsGoalsGoldGrowthHealth Care CostsHealthcare SystemsHistologyHistopathologyHumanImageImaging DeviceIndustryLaboratoriesLeftLightingMalignant - descriptorMalignant NeoplasmsMammary Gland ParenchymaMammary NeoplasmsMapsMenopausal StatusMethodologyMetricMicroanatomyMicroscopeMicroscopicMicroscopyMicrospheresModelingMusNormal tissue morphologyNuclearOperating RoomsOperative Surgical ProceduresOpticsPathologistPathologyPatientsPerformancePhasePilot ProjectsPostoperative PeriodPre-Clinical ModelProceduresProcessProtocols documentationRecurrenceRepeat SurgeryReportingResearchResectedResidual CancersResolutionRiceRiskSamplingScanningSourceSpecimenSpeedStagingStaining methodStainsStructureSurgeonSurgical complicationSurgical marginsSurveysSystemTechniquesTechnologyTestingTimeTissue StainsTissuesTransgenic OrganismsTreatment CostTumor TissueUniversitiesVariantWomanWorkbreast densitycancer recurrencecancer surgeryfluorescence imagingin vivomalignant breast neoplasmmolecular imagingmortalitymouse modelneoplastic cellpatient populationpre-clinicalpreventpublic health relevancesarcomasoft tissuespectroscopic imagingtooltumor
项目摘要
DESCRIPTION (provided by applicant): In 2009, an estimated 197,300 women with early stage invasive breast cancer and/or carcinoma in situ (CIS) received breast conserving surgery (BCS). BCS involves removal of malignant tissue with a surrounding margin of normal breast tissue. Residual cancer found in this margin after surgery is an important predictor of local recurrence of cancer after BCS. Recently, it was found that one death was averted for every four women in which a local recurrence is avoided. Thus, complete tumor excision is essential to reduce the risk of recurrence. As many as 20-70% of BCS patients must undergo re-excision surgery, because their cancer was incompletely removed during the first BCS procedure. This represents an enormous physical burden to the patient (increasing her chances for surgical complications and/or eventual cancer-related mortality) and financial burden to the health care system (effectively doubling the cost of treatment for this group of patients). By 2015, it is expected that the number of patients undergoing BCS will rise from approximately 197,000 to more than 270,000 per year in the U.S., at an annual growth rate of 5.5%. With no industry standard to prevent re-excision, it is expected that there will be a concomitant rise in the number of re-excision surgeries. Thus, there is a significant unmet clinical need for effective intra-operative assessment of breast tumor margins. The long-term research objective of this application is to develop a clinically-viable system for wide-field high-resolution microscopy of the tumor bed in BCS procedures, using a wide-field optically-sectioned scanning imager optimized for in vivo imaging, and non-toxic tissue-enhancing fluorescent contrast agents. This would be combined with automated image classification algorithms, which confer an automatic decision to the surgeon intra-operatively, whether or not additional tissue should be resected from the tumor bed. The objective of this development-phase R21 proposal is to complete a critical technology refinement, and to validate it in a pre-clinical tumor margin model. The specific aims of the current R21 proposal are 1) To develop a practical, non-contact, optically-sectioned wide-field fluorescence imaging system for in vivo tumor bed assessment, and 2) To evaluate the imaging system for in vivo tumor margin assessment in a transgenic murine tumor margin model. Successful completion of the R21 will result in a critical first step towards a clinically-viable system for in vivo fluorescence histology of breast tumor margins.
PUBLIC HEALTH RELEVANCE: The successful development of a clinically-viable system and methodology for in vivo microscopic analysis of breast tissue has tremendous implications for the more than 197,000 women who annually undergo breast conserving cancer surgery. There is currently no widely available intra-operative tool to aid surgeons in determining whether surgery has been successful, therefore 20-70% of these women will undergo multiple surgeries to have their cancer fully removed. The development of a system which allows high-resolution microscopic mapping of the tumor bed could allow surgeons to catch bits of tumor left behind in the patient during the first surgery, thereby preventing the need for multiple surgeries, decreasing the patients' chances for surgical complications and tumor recurrence, and drastically reducing the healthcare costs for this growing patient population.
描述(由申请人提供):2009 年,估计有 197,300 名患有早期浸润性乳腺癌和/或原位癌 (CIS) 的女性接受了保乳手术 (BCS)。 BCS 涉及切除恶性组织及其周围正常乳腺组织的边缘。手术后在该边缘发现的残留癌症是 BCS 后癌症局部复发的重要预测因素。最近发现,如果避免了局部复发,每四名女性就可以避免一名死亡。因此,彻底切除肿瘤对于降低复发风险至关重要。多达 20-70% 的 BCS 患者必须接受再次切除手术,因为他们的癌症在第一次 BCS 手术中未完全切除。这给患者带来了巨大的身体负担(增加了手术并发症和/或最终癌症相关死亡率的机会),也给医疗保健系统带来了经济负担(实际上使这组患者的治疗成本加倍)。到2015年,预计美国接受BCS的患者人数将从每年约197,000人增加到超过270,000人,年增长率为5.5%。由于没有防止再次切除的行业标准,预计再次切除手术的数量将会随之增加。因此,对乳腺肿瘤边缘进行有效的术中评估存在着显着的未满足的临床需求。 该应用的长期研究目标是开发一种临床上可行的系统,用于 BCS 程序中肿瘤床的宽视场高分辨率显微镜检查,使用针对体内成像优化的宽视场光学切片扫描成像仪,以及无毒组织增强荧光造影剂。这将与自动图像分类算法相结合,使外科医生在术中自动决定是否应从肿瘤床切除额外的组织。该开发阶段 R21 提案的目标是完成关键技术改进,并在临床前肿瘤边缘模型中对其进行验证。当前 R21 提案的具体目标是 1) 开发一种实用的、非接触式、光学切片的宽视场荧光成像系统,用于体内肿瘤床评估,以及 2) 评估用于体内肿瘤边缘评估的成像系统在转基因小鼠肿瘤边缘模型中。 R21 的成功完成将为乳腺肿瘤边缘体内荧光组织学临床可行的系统迈出关键的第一步。
公共健康相关性:成功开发临床上可行的乳腺组织体内显微分析系统和方法,对每年接受保乳癌症手术的超过 197,000 名女性具有巨大影响。目前还没有广泛使用的术中工具来帮助外科医生确定手术是否成功,因此这些女性中的 20-70% 将接受多次手术以完全切除癌症。开发出一种能够对肿瘤床进行高分辨率显微测绘的系统,可以让外科医生在第一次手术期间捕获患者体内留下的肿瘤碎片,从而避免多次手术,减少患者出现手术并发症的机会和肿瘤复发,并大大降低不断增长的患者群体的医疗费用。
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 }}
JONATHAN QUINCY BROWN其他文献
JONATHAN QUINCY BROWN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('JONATHAN QUINCY BROWN', 18)}}的其他基金
PathCAM: connecting the digital data pipeline in diagnostic pathology with onboard-camera variable resolution slide imaging
PathCAM:将诊断病理学中的数字数据管道与机载相机可变分辨率幻灯片成像连接起来
- 批准号:
10539532 - 财政年份:2022
- 资助金额:
$ 13.28万 - 项目类别:
PathCAM: connecting the digital data pipeline in diagnostic pathology with onboard-camera variable resolution slide imaging
PathCAM:将诊断病理学中的数字数据管道与机载相机可变分辨率幻灯片成像连接起来
- 批准号:
10710397 - 财政年份:2022
- 资助金额:
$ 13.28万 - 项目类别:
High speed automated intraoperative microscopy of the prostate circumference to ensure tumor-free margins in radical prostatectomy
前列腺周围的高速自动化术中显微镜检查可确保根治性前列腺切除术中的无肿瘤边缘
- 批准号:
10172866 - 财政年份:2018
- 资助金额:
$ 13.28万 - 项目类别:
Improving biospecimen quality by verifying adequacy at the point-of-acquisition with ex vivo structured illumination microscopy
通过使用离体结构照明显微镜验证采集点的充分性来提高生物样本质量
- 批准号:
9121488 - 财政年份:2015
- 资助金额:
$ 13.28万 - 项目类别:
Improving biospecimen quality by verifying adequacy at the point-of-acquisition with ex vivo structured illumination microscopy
通过使用离体结构照明显微镜验证采集点的充分性来提高生物样本质量
- 批准号:
9314384 - 财政年份:2015
- 资助金额:
$ 13.28万 - 项目类别:
Improving biospecimen quality by verifying adequacy at the point-of-acquisition with ex vivo structured illumination microscopy
通过使用离体结构照明显微镜验证采集点的充分性来提高生物样本质量
- 批准号:
8929898 - 财政年份:2015
- 资助金额:
$ 13.28万 - 项目类别:
A Fluorescence Histology System for In Vivo Breast Tumor Margin Assessment
用于体内乳腺肿瘤边缘评估的荧光组织学系统
- 批准号:
8533497 - 财政年份:2011
- 资助金额:
$ 13.28万 - 项目类别:
A Fluorescence Histology System for In Vivo Breast Tumor Margin Assessment
用于体内乳腺肿瘤边缘评估的荧光组织学系统
- 批准号:
8096034 - 财政年份:2011
- 资助金额:
$ 13.28万 - 项目类别:
相似国自然基金
采用积分投影模型解析克隆生长对加拿大一枝黄花种群动态的影响
- 批准号:32301322
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
山丘区农户生计分化对水保措施采用的影响及其调控对策
- 批准号:42377321
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
政策激励、信息传递与农户屋顶光伏技术采用提升机制研究
- 批准号:72304103
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
金属有机骨架材料在环境VOCs处理过程中采用原位电子顺磁共振自旋探针检测方法的研究
- 批准号:22376147
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
采用新型视觉-电刺激配对范式长期、特异性改变成年期动物视觉系统功能可塑性
- 批准号:32371047
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
相似海外基金
Development of a commercially viable machine learning product to automatically detect rotator cuff muscle pathology
开发商业上可行的机器学习产品来自动检测肩袖肌肉病理
- 批准号:
10268004 - 财政年份:2021
- 资助金额:
$ 13.28万 - 项目类别:
Development of a commercially viable machine learning product to automatically detect rotator cuff muscle pathology
开发商业上可行的机器学习产品来自动检测肩袖肌肉病理
- 批准号:
10495191 - 财政年份:2021
- 资助金额:
$ 13.28万 - 项目类别:
Osteochondral tissue repair in an ovine model using a 3D woven poly (e-caprolacto
使用 3D 编织聚(己内酯)修复绵羊模型中的骨软骨组织
- 批准号:
8455444 - 财政年份:2013
- 资助金额:
$ 13.28万 - 项目类别: