Low Cost Tethered Capsule Endoscope with High-Resolution Digital Chromoscopy for Barrett's Screening
用于巴雷特氏筛查的低成本系留胶囊内窥镜,具有高分辨率数字色谱法
基本信息
- 批准号:10672889
- 负责人:
- 金额:$ 62.64万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-07-01 至 2026-06-30
- 项目状态:未结题
- 来源:
- 关键词:AdenocarcinomaAlgorithmsBarrett EsophagusBarrett&aposs neoplasiaBlood capillariesBrazilCancer DetectionCancer EtiologyCessation of lifeChinaClinicalCollaborationsCommunitiesCommunity PracticeComputer softwareDataDatabasesDeglutitionDetectionDevelopmentDevicesDiagnosisDisinfectionDissectionEarly DiagnosisEarly treatmentElectronicsEndoscopesEndoscopyEngineeringEsophageal AdenocarcinomaEsophageal NeoplasmsEsophagogastric JunctionEsophagusEvaluationFamily suidaeFeedbackGastrointestinal tract structureGoalsHigh grade dysplasiaHistopathologyHumanIACUCImageImage AnalysisInfrastructureInjectionsInjuryInstitutional Review BoardsLateralLightLightingMalignant NeoplasmsMalignant neoplasm of esophagusMapsModalityMoldsMovementMucous MembraneNeoplasmsOperative Surgical ProceduresOpticsPatientsPerformancePilot ProjectsProcessProviderResectedResolutionResource-limited settingRetrievalRiceRotationRuralSafetySamplingScanningScheduleScreening for cancerScreening procedureSedation procedureSideSpecimenStomachSubmucosaSupport SystemSurfaceSurvival RateSystemTablet ComputerTechnologyTestingTimeTissuesTranslationsUnited StatesVisualizationWorkaccurate diagnosiscapsulechromoscopyclinical decision-makingcomparativecostcost effectivedesigndiagnostic criteriadigitalex vivo imagingexperiencehigh risk populationhuman studyhypopharynximaging approachimaging capabilitiesimprovedimproved outcomein vivo evaluationlensmortalitymultidisciplinarypillporcine modelportabilitypublic health relevancerecruitscreeningsensorstandard of caretooltransmission processtwo-dimensionalunderserved area
项目摘要
Abstract
Esophageal cancer is the 6th leading cause of cancer death worldwide; rates of esophageal adenocarcinoma (EAC) have
risen exponentially over the past 4 decades. When EAC is diagnosed at a late stage, 5‐year survival rates are dismal (∼18%).
Because of this, increased effort has focused on early detection and treatment of Barrett's esophagus (BE), the only
recognized precursor of EAC. Indeed, when esophageal neoplasia is diagnosed at an early stage (Barrett's with high grade
dysplasia/intramucosal cancer) and treated endoscopically, 5‐year survival rates exceed 98%. Early detection is currently
performed by standard upper endoscopy with high‐definition White Light (WL) and Narrow Band Imaging (NBI) which has
been shown to have a sensitivity of >90%. Nonetheless, standard endoscopy is invasive, expensive (commercial scopes
>$25,000) AND requires extensive infrastructure for patient exam/sedation.
Capsule endoscopy is an appealing alternative option for low‐resource regions (and community practices in the US) that
lack infrastructure and expert clinicians. Unfortunately, current commercially available capsule systems lack the spatial‐
resolution to accurately diagnose BE, are single‐use, and are costly (>$25,000 per system, >$350 per single‐use capsule).
The goal of this proposal is to develop a lower‐cost , high‐resolution capsule endoscopy system to allow less experienced
providers to screen for BE in community‐based settings in the US and low‐resource settings globally. The ScanCap system
has two components: a reusable, $75 tethered capsule that is swallowed to collect images of the mucosa and $1000
supporting system to manipulate and display the collected data on a tablet computer. After the capsule is swallowed, the
tether is withdrawn and high resolution, NBI images are collected from the entire esophagus. Unlike existing capsule
endoscopes, our design enables high resolution side‐viewing of the lumen, with circumferential scanning of the esophagus
through guided rotation of the mirror within the capsule as it is withdrawn. The system is portable, battery operated,
designed for use by non‐physicians in underserved settings, and can acquire high definition images with NBI to enable
visualization of capillary loops.
Here, we aim to (1) develop and refine a tethered capsule endoscope (ScanCap) with NBI for esophageal cancer screening,
(2) compare the image quality of ScanCap's NBI images to gold‐standard, high‐definition endoscopy with NBI using
resected ex vivo samples, (3) evaluate the functional & imaging capabilities and safety of the device in an IACUC‐approved
porcine study, and (4) test the imaging performance of ScanCap in a pilot study of 10 patients with documented BE in an
IRB‐approved human study.
Our multi‐disciplinary team will leverage advances in consumer grade image sensors, injection molded lenses, and optical
scanner technology to refine and evaluate a reusable capsule that rivals the performance of high‐definition, state‐of the
art NBI endoscopes AND is more cost‐effective (and higher‐resolution) than commercial swallowed capsule systems. The
end result will be a lower‐cost, reusable, high quality platform for esophageal cancer screening in community‐based
settings in the US and rural, underserved regions worldwide.
摘要
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 }}
Sharmila Anandasabapathy其他文献
Sharmila Anandasabapathy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('Sharmila Anandasabapathy', 18)}}的其他基金
The Center for Innovation and Translation of Point of Care Technologies for Equitable Cancer Care (CITEC)
公平癌症护理护理点技术创新与转化中心 (CITEC)
- 批准号:
10715740 - 财政年份:2023
- 资助金额:
$ 62.64万 - 项目类别:
Low Cost Tethered Capsule Endoscope with High-Resolution Digital Chromoscopy for Barrett's Screening
用于巴雷特氏筛查的低成本系留胶囊内窥镜,具有高分辨率数字色谱法
- 批准号:
10295900 - 财政年份:2021
- 资助金额:
$ 62.64万 - 项目类别:
Low Cost Tethered Capsule Endoscope with High-Resolution Digital Chromoscopy for Barrett's Screening
用于巴雷特氏筛查的低成本系留胶囊内窥镜,具有高分辨率数字色谱法
- 批准号:
10438892 - 财政年份:2021
- 资助金额:
$ 62.64万 - 项目类别:
The Effectiveness of High Resolution Microendoscopy (HRME) in High Grade Intraepithelial Lesions (HSIL)Diagnosis for People Living with HIV
高分辨率显微内窥镜 (HRME) 在 HIV 感染者的高级上皮内病变 (HSIL) 诊断中的有效性
- 批准号:
10523516 - 财政年份:2018
- 资助金额:
$ 62.64万 - 项目类别:
The Effectiveness of High Resolution Microendoscopy (HRME) in High Grade Intraepithelial Lesions (HSIL) Diagnosis for People Living with HIV
高分辨率显微内窥镜 (HRME) 在 HIV 感染者高度上皮内病变 (HSIL) 诊断中的有效性
- 批准号:
10058207 - 财政年份:2018
- 资助金额:
$ 62.64万 - 项目类别:
The Effectiveness of High Resolution Microendoscopy (HRME) in High Grade Intraepithelial Lesions (HSIL)Diagnosis for People Living with HIV
高分辨率显微内窥镜 (HRME) 在 HIV 感染者的高级上皮内病变 (HSIL) 诊断中的有效性
- 批准号:
10311046 - 财政年份:2018
- 资助金额:
$ 62.64万 - 项目类别:
High Resolution Microendoscopy for the Management of Esophageal Neoplasia
高分辨率显微内窥镜治疗食管肿瘤
- 批准号:
8928571 - 财政年份:2014
- 资助金额:
$ 62.64万 - 项目类别:
High Resolution Microendoscopy for the Management of Esophageal Neoplasia
高分辨率显微内窥镜治疗食管肿瘤
- 批准号:
8759964 - 财政年份:2014
- 资助金额:
$ 62.64万 - 项目类别:
High Resolution Microendoscopy for the Management of Esophageal Neoplasia
高分辨率显微内窥镜治疗食管肿瘤
- 批准号:
9325455 - 财政年份:2014
- 资助金额:
$ 62.64万 - 项目类别:
Automated, Augmented Reality High Resolution Microendoscopy for the Management of Esophageal Neoplasia
用于治疗食管肿瘤的自动化增强现实高分辨率显微内窥镜检查
- 批准号:
9236004 - 财政年份:2014
- 资助金额:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 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:
$ 62.64万 - 项目类别:
Continuing Grant














{{item.name}}会员




