Intraoperative Label-Free Optical Molecular Imaging of Breast Tumor Margins
乳腺肿瘤边缘的术中无标记光学分子成像
基本信息
- 批准号:8513279
- 负责人:
- 金额:$ 47.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-01 至 2017-05-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAreaBiological MarkersBreast Cancer TreatmentBreast-Conserving SurgeryClassificationClinicalDetectionDevelopmentDiagnosticEnvironmentExcisionFeedbackFiberFiber OpticsFundingGoalsGoldGrantHistologicHistologyHistopathologyImageImaging DeviceImaging TechniquesImaging technologyIndividualInstitutionInterventionLabelLaboratoriesLightLocationMalignant NeoplasmsMammary Gland ParenchymaMammary NeoplasmsMechanicsMicroscopicModelingMolecularMolecular AbnormalityOperating RoomsOperative Surgical ProceduresOptical Coherence TomographyOpticsPatientsPostoperative PeriodPrimary NeoplasmRecurrenceRepeat SurgeryResearchResearch PersonnelResectedResidual TumorsResidual stateResolutionRiskSensitivity and SpecificitySolid NeoplasmSourceSpecimenSpectrum AnalysisSpeedStructureSurgeonSurgical OncologySurgical marginsSystemTechniquesTimeTissuesTrainingTranslatingTranslationsTumor TissueUnited States National Institutes of HealthUpdateanalogbasebreast lumpectomycancer imagingcancer surgerycostdesignevidence based guidelinesimaging probeimprovedintraoperative imagingmalignant breast neoplasmmolecular imagingnoveloperationoptical fiberpoint of careportabilitytumor
项目摘要
DESCRIPTION (provided by applicant): Margin status during the surgical treatment of solid tumors is the most critical factor in determining local recurrence rates. For breast cancer, breast
conserving surgeries or lumpectomies are routinely performed. Currently, the surgeon is unable to visualize the microscopic structure at the margin, and conventionally relies on post-operative histological assessment of surgical margins to verify complete resection of the tumor. However, a critical intraoperative decision must be made to determine how much tissue around the primary tumor must be removed, or, where one must define the surgical margin. Therefore, a critical need exists to assess the surgical margin microscopically in real-time in the operating room, with spatial resolutions and pathological accuracies commensurate with post-operative histology, so that intraoperative feedback can be obtained during the surgical intervention. A partnership composed of collaborating academic, clinical, and industrial institutions and investigators will address this critical need by nonlinear interferometric vibrational imaging (NIVI). NIVI can images a wide variety of intrinsically vibrating biomolecules at a depth up to 1 mm with no labeling. The sensitive interferometric detection of quantitative Raman spectra allows NIVI to perform as a high-speed imaging analogue to Raman micro-spectroscopy. Through preliminary results obtained in our optical laboratory, we have demonstrated NIVI to have combined advantages of coherent anti-Stokes Raman scattering (CARS) spectroscopy and optical coherence tomography (OCT), and have successfully employed NIVI to detect tumor margins of breast cancer through specific abnormalities of endogenous biomarker molecules. This partnership will thus pursue the clinical translation of NIVI into an intraoperative imaging tool. The goal of this partnership will be achieved through a systematic approach. First, the extensive use of fiber-optic components will improve the robustness and the portability of the system, so that NIVI will largely retain the simplicity of a standard fiber-based OCT system. Also, an advanced handheld MEMS-scanner- based imaging probe will be incorporated into the system to flexibly access the surgical margin intraoperatively on resected tissue. Finally, the sensitivity and specificity of detecting positive margins will be determined to screen and flag margin locations suspicious for residual breast tumor. The successful completion of this project will result in a statistically-validated high-resolution molecular imaging technology capable of performing image-guided surgical interventions during breast cancer surgery. The intraoperative assessment of surgical tumor margin status has the potential to update and direct the surgical intervention in real-time, to reduce or eliminate reoperations, to minimize costs, and most importantly, to reduce the risk of local recurrence. Although the intraoperative imaging by NIVI in
breast cancer surgery is the main focus of this project, we envision that this technique will benefit many other areas of surgical oncology.
描述(由申请人提供):实体瘤手术治疗期间的切缘状态是决定局部复发率的最关键因素。对于乳腺癌,
常规地进行保留性手术或肿块切除术。目前,外科医生无法可视化边缘处的显微结构,并且常规地依赖于手术边缘的术后组织学评估来验证肿瘤的完全切除。然而,术中必须做出关键的决定,以确定原发肿瘤周围的组织必须切除多少,或者必须确定手术边缘的位置。因此,迫切需要在手术室中实时显微评估手术切缘,具有与术后组织学相称的空间分辨率和病理准确性,以便在手术干预期间获得术中反馈。 由合作的学术,临床和工业机构和研究人员组成的伙伴关系将通过非线性干涉振动成像(NIVI)解决这一关键需求。NIVI可以成像各种各样的固有振动的生物分子在深度高达1毫米,没有标记。定量拉曼光谱的灵敏干涉检测允许NIVI作为拉曼显微光谱的高速成像模拟物来执行。通过在我们的光学实验室获得的初步结果,我们已经证明了NIVI具有相干反斯托克斯拉曼散射(汽车)光谱和光学相干断层扫描(OCT)相结合的优势,并已成功地采用NIVI检测乳腺癌的肿瘤边缘,通过特定的内源性生物标志物分子的异常。因此,这一伙伴关系将致力于将NIVI临床转化为术中成像工具。 这一伙伴关系的目标将通过系统的办法来实现。首先,光纤组件的广泛使用将提高系统的鲁棒性和便携性,因此NIVI将在很大程度上保留标准光纤OCT系统的简单性。此外,一个先进的手持式MEMS扫描仪为基础的成像探头将被纳入系统,灵活地进入手术切缘切除组织术中。最后,将确定检测阳性边缘的灵敏度和特异性,以筛选和标记疑似残留乳腺肿瘤的边缘位置。 该项目的成功完成将产生一种经过临床验证的高分辨率分子成像技术,能够在乳腺癌手术期间进行图像引导的手术干预。术中评估手术肿瘤切缘状态有可能实时更新和指导手术干预,减少或消除再次手术,最大限度地降低成本,最重要的是,降低局部复发的风险。虽然术中成像NIVI在
乳腺癌手术是这个项目的主要焦点,我们设想这项技术将有利于外科肿瘤学的许多其他领域。
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)
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Stephen A Boppart其他文献
Stephen A Boppart的其他文献
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{{ truncateString('Stephen A Boppart', 18)}}的其他基金
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10705172 - 财政年份:2022
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The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)
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10705169 - 财政年份:2022
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$ 47.24万 - 项目类别:
Center for Label-free Imaging and Multiscale Biophotonics (CLIMB)
无标记成像和多尺度生物光子学中心 (CLIMB)
- 批准号:
10705138 - 财政年份:2022
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Bridge to the Doctorate at University of Illinois at Urbana-Champaign
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10269337 - 财政年份:2021
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