Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer

低成本移动阴道镜和共聚焦成像用于全球宫颈癌预防

基本信息

  • 批准号:
    10672941
  • 负责人:
  • 金额:
    $ 53.85万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-08-01 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

Abstract: Cervical cancer was once the leading cause of cancer death among women in the United States (U.S.). The implementation of comprehensive programs for screening, diagnosis, and treatment over the past 60 years has reduced cervical cancer incidence and mortality by more than 70% in the U.S. In contrast, cervical cancer remains the 1st or 2nd leading cause of cancer death among women in many low-and middle-income countries (LMICs). Cervical cancer prevention programs in low-resource settings are hampered by a lack of personnel with appropriate clinical expertise, lack of pathology services, and lack of associated infrastructure. Programs that involve multiple patient visits have a high rate of loss to follow-up. Screen-and-Treat approaches have been implemented in LMICs and include screening by HPV testing or visual inspection with acetic acid (VIA) followed by immediate treatment, reducing loss to follow-up; but these approaches lead to massive over-treatment due to the poor specificity of VIA and HPV testing. There is an urgent need for appropriate diagnostic tools to enable the implementation of a sensitive and specific Screen-Diagnose-Treat strategy that can be performed in a single patient visit in LMICs and in medically underserved areas of the U.S. We propose to develop and validate a low-cost Multimodal Mobile Colposcope (MMC) for global cervical Screen-Diagnose-Treat programs. This new device will combine the imaging capabilities of a smartphone- based colposcope developed by MobileODT with the microscopic imaging capabilities of a fiber-optic confocal imaging probe developed by Rice University. The MMC will image the entire cervix, automatically identify suspicious regions, and acquire co-registered high-resolution images of nuclear morphometry from suspicious areas. Multimodal image analysis algorithms will be developed in a study of 300 women referred for colposcopy at two sites in Brazil. The performance of the MMC with automated image analysis for detection of cervical precancer will be validated in a study of an additional 760 women referred for colposcopy in Brazil. We will determine the feasibility and usability of the MMC among low-resource setting providers by carrying out cancer prevention training courses using the MMC in Brazil. Our academic-industrial partnership includes expertise in bioengineering (Rice University), colposcopy and medical imaging (MobileODT), cervical cancer prevention and treatment (MD Anderson Cancer Center), and cervical cancer prevention and epidemiology (Albert Einstein College of Medicine), as well as the clinical expertise of our Brazilian clinical partners: Barretos Cancer Hospital and the Federal University of Health Sciences of Porto Alegre/Hospital Santa Casa. The innovative imaging technologies to be developed in this proposal will enable effective single-visit Screen-Diagnose-Treat programs to diagnose and treat women with cervical precancer while minimizing overtreatment.
抽象的: 宫颈癌曾经是美国妇女(美国)癌症死亡的主要原因。 在过去的60个 相比之下 癌症仍然是许多低收入和中等收入中女性癌症死亡的第一或第二大原因 国家(LMIC)。低资源环境中的宫颈癌预防计划受到了缺乏 具有适当临床专业知识,缺乏病理服务以及缺乏相关基础设施的人员。 涉及多个患者访问的程序的随访率很高。屏幕和治疗 方法已在LMIC中实施,包括通过HPV测试或视觉检查进行筛选 乙酸(通过),然后立即进行治疗,将损失减少到随访;但是这些方法导致了 由于VIA和HPV测试的特异性差,大量过度治疗。迫切需要 适当的诊断工具,以实现敏感且特定的屏幕诊断治疗 可以在LMIC和美国服务不足的LMICS访问中进行的策略 我们建议开发和验证用于全球宫颈的低成本多模式移动阴道镜(MMC) 屏幕诊断程序。这个新设备将结合智能手机的成像功能 - 由Mobiledt开发的基于纤维共聚焦的微观成像功能 赖斯大学开发的成像探针。 MMC将图像整个子宫颈,自动识别 可疑区域,并从可疑地获得核形态的共同注册的高分辨率图像 区域。多模式图像分析算法将在一项针对300名女性的研究中开发 巴西两个地点的阴道镜检查。使用自动图像分析的MMC的性能用于检测 宫颈预科剂将在一项对巴西阴道镜检查的760名妇女的研究中进行验证。 我们将通过执行低资源设置提供商中MMC的可行性和可用性 使用巴西的MMC进行预防癌症培训课程。 我们的学术工业合作伙伴关系包括生物工程专业知识(莱斯大学),阴道镜检查和 医学成像(Mobiledt),宫颈癌预防和治疗(MD Anderson Cancer Center)和 宫颈癌预防和流行病学(阿尔伯特·爱因斯坦医学院)以及临床 我们的巴西临床合作伙伴的专业知识:巴雷托斯癌症医院和联邦卫生大学 Porto Alegre/Hospital Santa Casa的科学。在此开发的创新成像技术 提案将使有效的单访问屏幕诊断计划能够诊断和治疗女性 宫颈预科剂,同时最小化过度治疗。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Cervical lesion assessment using real-time microendoscopy image analysis in Brazil: The CLARA study.
  • DOI:
    10.1002/ijc.33543
  • 发表时间:
    2021-07-15
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Hunt B;Fregnani JHTG;Brenes D;Schwarz RA;Salcedo MP;Possati-Resende JC;Antoniazzi M;de Oliveira Fonseca B;Santana IVV;de Macêdo Matsushita G;Castle PE;Schmeler KM;Richards-Kortum R
  • 通讯作者:
    Richards-Kortum R
Deployment and assessment of a deep learning model for real-time detection of anal precancer with high frame rate high-resolution microendoscopy.
  • DOI:
    10.1038/s41598-023-49197-9
  • 发表时间:
    2023-12-14
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Brenes, David;Kortum, Alex;Coole, Jackson;Carns, Jennifer;Schwarz, Richard;Vohra, Imran;Richards-Kortum, Rebecca;Liu, Yuxin;Cai, Zhenjian;Sigel, Keith;Anandasabapathy, Sharmila;Gaisa, Michael;Chiao, Elizabeth
  • 通讯作者:
    Chiao, Elizabeth
Hands-On Training Courses for Cervical Cancer Screening, Diagnosis, and Treatment Procedures in Low- and Middle-Income Countries.
  • DOI:
    10.1200/go.21.00214
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
    Phoolcharoen N;Varon ML;Baker E;Parra S;Carns J;Cherry K;Smith C;Sonka T;Doughtie K;Lorenzoni C;Richards-Kortum R;Schmeler K;Salcedo MP
  • 通讯作者:
    Salcedo MP
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Rebecca R. Richards-Kortum其他文献

Rebecca R. Richards-Kortum的其他文献

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{{ truncateString('Rebecca R. Richards-Kortum', 18)}}的其他基金

Technology Core
技术核心
  • 批准号:
    10715742
  • 财政年份:
    2023
  • 资助金额:
    $ 53.85万
  • 项目类别:
A Sample-to-Answer Point-of-Care Diagnostic for Recently Transfused Sickle Cell Anemia Patients in Low Resource Settings
针对资源匮乏地区最近输血的镰状细胞性贫血患者的从样本到答案的护理点诊断
  • 批准号:
    10564553
  • 财政年份:
    2023
  • 资助金额:
    $ 53.85万
  • 项目类别:
The Center for Innovation and Translation of Point of Care Technologies for Equitable Cancer Care (CITEC) - Administrative Core
公平癌症护理护理点技术创新与转化中心 (CITEC) - 行政核心
  • 批准号:
    10715741
  • 财政年份:
    2023
  • 资助金额:
    $ 53.85万
  • 项目类别:
Dissemination Core
传播核心
  • 批准号:
    10715744
  • 财政年份:
    2023
  • 资助金额:
    $ 53.85万
  • 项目类别:
Clinical Core
临床核心
  • 批准号:
    10715743
  • 财政年份:
    2023
  • 资助金额:
    $ 53.85万
  • 项目类别:
Point-of-care HPV mRNA test for cervical cancer screening in low-resource settings
在资源匮乏地区进行宫颈癌筛查的护理点 HPV mRNA 检测
  • 批准号:
    10331882
  • 财政年份:
    2021
  • 资助金额:
    $ 53.85万
  • 项目类别:
Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer
低成本移动阴道镜和共焦成像在全球宫颈癌预防中的应用
  • 批准号:
    10219206
  • 财政年份:
    2020
  • 资助金额:
    $ 53.85万
  • 项目类别:
Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer
低成本移动阴道镜和共聚焦成像用于全球宫颈癌预防
  • 批准号:
    10406973
  • 财政年份:
    2020
  • 资助金额:
    $ 53.85万
  • 项目类别:
Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer
低成本移动阴道镜和共焦成像在全球宫颈癌预防中的应用
  • 批准号:
    10031954
  • 财政年份:
    2020
  • 资助金额:
    $ 53.85万
  • 项目类别:
High resolution imaging & HPV oncoprotein detection for global prevention of cerv
高分辨率成像
  • 批准号:
    8912437
  • 财政年份:
    2014
  • 资助金额:
    $ 53.85万
  • 项目类别:

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相似海外基金

A novel, one stop, affordable, point of care and artificial intelligence supported system of screening, triage and treatment selection for cervical cancer and precancer in the LMICs
一种新型、一站式、经济实惠的护理点和人工智能支持系统,用于中低收入国家宫颈癌和癌前病变的筛查、分诊和治疗选择
  • 批准号:
    10560812
  • 财政年份:
    2023
  • 资助金额:
    $ 53.85万
  • 项目类别:
Project 1
项目1
  • 批准号:
    10598936
  • 财政年份:
    2023
  • 资助金额:
    $ 53.85万
  • 项目类别:
Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer
低成本移动阴道镜和共焦成像在全球宫颈癌预防中的应用
  • 批准号:
    10219206
  • 财政年份:
    2020
  • 资助金额:
    $ 53.85万
  • 项目类别:
Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer
低成本移动阴道镜和共聚焦成像用于全球宫颈癌预防
  • 批准号:
    10406973
  • 财政年份:
    2020
  • 资助金额:
    $ 53.85万
  • 项目类别:
Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer
低成本移动阴道镜和共焦成像在全球宫颈癌预防中的应用
  • 批准号:
    10031954
  • 财政年份:
    2020
  • 资助金额:
    $ 53.85万
  • 项目类别:
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