Optical Spectroscopy in the Management of Colorectal Neoplasia
光谱学在结直肠肿瘤治疗中的应用
基本信息
- 批准号:8922125
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-07-01 至 2019-06-30
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsBenchmarkingBenignBiological MarkersBiological PreservationBiopsyBlindedBostonBoxingCalibrationClassificationClinicalClinical ResearchCohort StudiesColonColonoscopyColorectalColorectal CancerColorectal NeoplasmsComputer softwareCytologyDataDiagnosisDiagnosticDistalEffectivenessElastic scattering spectroscopyEndoscopesEndoscopyEnsureEnvironmentEvaluationExcisionForcepGoalsGuidelinesHealthHealth Care CostsHealthcareHealthcare SystemsHistologyHistopathologyHybridsIn SituInformed ConsentJamaicaMalignant - descriptorMeasurementMediatingMethodologyMethodsMucous MembraneNeoplasmsNeoplastic PolypOptical BiopsyOptical MethodsOpticsPathologistPatient riskPatientsPerformancePhysiciansPolypectomyPolypsPrecancerous PolypPreventionPreventiveProceduresProspective StudiesRectumResearchRiskRisk AssessmentSamplingScheduleSiteSocietiesSourceSpectrum AnalysisStandardizationStratificationStudy SubjectSystemTechnologyTestingTimeTissuesTrainingUniversitiesValidationVariantVeteransWorkbasecancer riskcarcinogenesiscolorectal cancer preventioncolorectal cancer screeningcostdesigngastrointestinalimprovedin vivoinnovationinstrumentinstrumentationminimally invasiveneoplasticnext generationprospectivepublic health relevancerectalresearch clinical testingscreeningstandard carestandard of caresuccesstool
项目摘要
DESCRIPTION (provided by applicant):
The central objective of this proposal is to demonstrate the benefits of optical spectroscopy for the screening, management, and prevention of colorectal cancer (CRC) as compared to current standard practices. Two complementary applications will be tested using the same platform: Using elastic-scattering spectroscopy (ESS) to distinguish reliably between neoplastic and non-neoplastic polyps, and using ESS, low- coherence enhanced backscattering spectroscopy (LEBS), and partial wave spectroscopy (PWS) for sensing the field effect of carcinogenesis (FEC). The specific objectives are: 1. To conduct a prospective clinical study using ESS for real-time histological assessment of polyps. We will prospectively test and validate algorithms that we have designed for ESS classification of polyps, using the ASGE-PIVI guidelines as performance benchmarks. 2. Clinical studies of field effect, and combined applications study. We will concurrently collect algorithm-training and validation data for sensing of FEC with ESS, during routine colonoscopy procedures. With the same patients and at the same procedure, we will look at ESS as a CRC risk assessment tool and its relationship, if any, with improvements in efficiency and success rate of finding neoplastic polyps for polypectomy. In addition, we will use optical measurements obtained with LEBS and rectal brushings analyzed with PWS to cross-validate FEC sensing results obtained with ESS. 3. Instrumentation: Implement system enhancements and tool design for clinical friendliness. We will establish standardization and calibration procedures to make instruments robust to variations in clinical environment, and develop next-generation clinical hardware and software interfaces. This will ensure that comparable results are obtained among different operators and sites. Integration of ESS and LEBS into a single hybrid system box will be enabled as required. Endoscope-mediated tools for guiding polypectomy and FEC-sensing will be designed to be low-cost and disposable. Methodology: Candidate subjects for this study will be drawn from an extant pool of patients who are scheduled for routine or surveillance colonoscopy by their physician or as the result of a prior clinical evaluation or a pre-existing condition. Upon obtaining a signed Informed Consent, all patients will receive standard treatment. The main deviation from the normal examination and biopsy procedure will be to take an optical measurement prior to each biopsy and of surrounding colonic mucosa, and a rectal sample for brush cytology during the colonoscopy. When biopsy is required, prior to the standard physical biopsy, an optical biopsy will be taken of the exact same tissue with the ESS optical forceps. The biopsy will be sent for histopathology, as per standard of care, and reviewed by three independent pathologists blinded to the spectroscopic results. Measurements of normal colonic mucosa will also be taken along several segments of the colon with ESS. Additionally, optical measurements of rectal mucosa will be obtained with LEBS, as well as rectal brushings that will be analyzed with PWS. ESS spectra from polyps will be correlated to the majority diagnosis from the pathologists. ESS, LEBS, and PWS measurements from normal colonic tissue will be assigned as to belonging to a neoplastic or non-neoplastic field based on findings during the procedure. Diagnostic algorithms will be trained and tested using these correlated optical data. Data for identification of FEC biomarkers will be collected from several sources to rule out possible confounders.
描述(由申请人提供):
这项建议的中心目标是证明与目前的标准做法相比,光学光谱学在筛查、管理和预防结直肠癌(CRC)方面的好处。将使用同一平台测试两个互补的应用程序:使用弹性散射光谱(ESS)可靠地区分肿瘤性和非肿瘤性息肉,并使用ESS、低相干增强后向散射光谱(LEBS)和部分波谱(PWS)感测致癌的场效应(FEC)。具体目标是:1.使用ESS进行一项前瞻性的临床研究,用于实时组织学评估息肉。我们将使用ASGE-PIVI指南作为性能基准,前瞻性地测试和验证我们为ESS息肉分类设计的算法。2.场效应的临床研究和联合应用研究。在常规的结肠镜检查过程中,我们将同时收集用于使用ESS检测FEC的算法训练和验证数据。对于相同的患者和相同的程序,我们将研究ESS作为结直肠癌风险评估工具,以及它与发现肿瘤性息肉进行息肉切除术的效率和成功率的提高之间的关系。此外,我们将使用LEBS获得的光学测量和PWS分析的直肠刷毛来交叉验证ESS获得的FEC传感结果。3.仪器:实施系统增强和工具设计,以实现临床友好性。我们将建立标准化和校准程序,使仪器对临床环境的变化具有健壮性,并开发新一代临床硬件和软件接口。这将确保在不同的运营商和站点之间获得可比较的结果。将根据需要将ESS和LEBS集成到单个混合系统盒中。内窥镜引导息肉切除和FEC传感的工具将被设计成低成本和一次性的。方法:这项研究的候选对象将从现有的患者池中挑选出来,这些患者由他们的医生安排进行常规或监视结肠镜检查,或者是由于先前的临床评估或先前存在的疾病。在获得签署的知情同意后,所有患者都将得到标准的治疗。与正常检查和活检程序的主要偏差是在每次活检之前对周围的结肠粘膜进行光学测量,并在结肠镜检查期间对直肠样本进行刷检细胞学检查。当需要活检时,在标准的物理活检之前,将使用ESS光学钳取完全相同的组织进行光学活检。根据护理标准,活检将被送往组织病理学检查,并由三名对光谱结果视而不见的独立病理学家进行审查。还将使用ESS沿着结肠的几个节段测量正常结肠粘膜。此外,直肠粘膜的光学测量将通过LEBS获得,直肠刷牙将通过PWS进行分析。息肉的ESS频谱将与病理学家的大多数诊断相关。正常结肠组织的ESS、LEBS和PWS测量将根据手术过程中的发现被归类为肿瘤性或非肿瘤性。诊断算法将使用这些相关的光学数据进行训练和测试。鉴定FEC生物标志物的数据将从几个来源收集,以排除可能的混杂因素。
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 }}
SATISH K SINGH其他文献
SATISH K SINGH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('SATISH K SINGH', 18)}}的其他基金
CMA: Marker-assisted prevention and risk stratification (MAPRS): Artificial Intelligence Endoscopy for Colorectal Cancer Prevention (CMA1)
CMA:标记物辅助预防和风险分层 (MAPRS):人工智能内窥镜预防结直肠癌 (CMA1)
- 批准号:
10436776 - 财政年份:2019
- 资助金额:
-- - 项目类别:
CMA: Marker-assisted prevention and risk stratification (MAPRS): Artificial Intelligence Endoscopy for Colorectal Cancer Prevention (CMA1)
CMA:标记物辅助预防和风险分层 (MAPRS):人工智能内窥镜预防结直肠癌 (CMA1)
- 批准号:
10084234 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Artificial Intelligence for the Management of Colorectal Neoplasia Using Combined-Modality Spectroscopy and Enhanced Imaging
使用组合模态光谱和增强成像的人工智能治疗结直肠肿瘤
- 批准号:
10417015 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Artificial Intelligence for the Management of Colorectal Neoplasia Using Combined-Modality Spectroscopy and Enhanced Imaging
使用组合模态光谱和增强成像的人工智能治疗结直肠肿瘤
- 批准号:
10578735 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Optical Spectroscopy in the Management of Colorectal Neoplasia
光谱学在结直肠肿瘤治疗中的应用
- 批准号:
9060752 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Artificial Intelligence for the Management of Colorectal Neoplasia Using Combined-Modality Spectroscopy and Enhanced Imaging
使用组合模态光谱和增强成像的人工智能治疗结直肠肿瘤
- 批准号:
9889313 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Optical Sensing of Dysplasia and Aneuploidy in Upper GI Endoscopy
上消化道内窥镜检查中不典型增生和非整倍体的光学传感
- 批准号:
8698361 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Optical Sensing of Dysplasia and Aneuploidy in Upper GI Endoscopy
上消化道内窥镜检查中不典型增生和非整倍体的光学传感
- 批准号:
8392965 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Optical Sensing of Dysplasia and Aneuploidy in Upper GI Endoscopy
上消化道内窥镜检查中不典型增生和非整倍体的光学传感
- 批准号:
8044327 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Optical Sensing of Dysplasia and Aneuploidy in Upper GI Endoscopy
上消化道内窥镜检查中不典型增生和非整倍体的光学传感
- 批准号:
8250824 - 财政年份:2011
- 资助金额:
-- - 项目类别:
相似国自然基金
企业绩效评价的DEA-Benchmarking方法及动态博弈研究
- 批准号:70571028
- 批准年份:2005
- 资助金额:16.5 万元
- 项目类别:面上项目
相似海外基金
An innovative EDI data, insights & peer benchmarking platform enabling global business leaders to build data-led EDI strategies, plans and budgets.
创新的 EDI 数据、见解
- 批准号:
10100319 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Collaborative R&D
BioSynth Trust: Developing understanding and confidence in flow cytometry benchmarking synthetic datasets to improve clinical and cell therapy diagnos
BioSynth Trust:发展对流式细胞仪基准合成数据集的理解和信心,以改善临床和细胞治疗诊断
- 批准号:
2796588 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Studentship
Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications
协作研究:SHF:Medium:内存计算结构跨层基准测试的综合建模框架:从设备到应用程序
- 批准号:
2347024 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
Elements: CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration
要素:CausalBench:用于因果学习基准测试的网络基础设施,以实现有效性、可重复性和科学协作
- 批准号:
2311716 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Standard Grant
Benchmarking collisional rates and hot electron transport in high-intensity laser-matter interaction
高强度激光-物质相互作用中碰撞率和热电子传输的基准测试
- 批准号:
2892813 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Studentship
Collaborative Research: BeeHive: A Cross-Problem Benchmarking Framework for Network Biology
合作研究:BeeHive:网络生物学的跨问题基准框架
- 批准号:
2233969 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Continuing Grant
FET: Medium: Quantum Algorithms, Complexity, Testing and Benchmarking
FET:中:量子算法、复杂性、测试和基准测试
- 批准号:
2311733 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Continuing Grant
Establishing and benchmarking advanced methods to comprehensively characterize somatic genome variation in single human cells
建立先进方法并对其进行基准测试,以全面表征单个人类细胞的体细胞基因组变异
- 批准号:
10662975 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Collaborative Research: BeeHive: A Cross-Problem Benchmarking Framework for Network Biology
合作研究:BeeHive:网络生物学的跨问题基准框架
- 批准号:
2233968 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Continuing Grant