Perioperative Diffuse Optical Imaging of Tissue Blood Flow and Oxygenation for Optimization of Mastectomy Skin Flap Viability

围手术期组织血流和氧合的漫射光学成像,用于优化乳房切除术皮瓣的活力

基本信息

  • 批准号:
    10559475
  • 负责人:
  • 金额:
    $ 49.04万
  • 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:
    2020-03-15 至 2024-11-30
  • 项目状态:
    已结题

项目摘要

ABSTRACT Mastectomy is performed on approximately half of women with breast cancer. Postmastectomy breast reconstruction has benefits for body image, sexuality, self-esteem, and quality of life. Poor clinical prognoses after breast reconstruction often involve mastectomy skin flap necrosis (MSFN) or other complications associated with the lack of blood flow and oxygenation to wound tissue volumes. MSFN and wound dehiscence leads to a number of challenges, including wound management problems, delays to adjuvant therapy, esthetic compromise, implant extrusion, patient distress, and financial loss. A technology that allows surgeons to perioperatively assess and optimize preservation of skin flaps while avoiding complications is essential to ensure successful clinical outcomes. Although alternative techniques have been explored to identify ischemic-hypoxic tissues at risk of necrosis, none have achieved universal acceptance as each technique has a few challenging issues that decrease its clinical usefulness. Moreover, no single technique provides both blood flow and oxygenation information, which are essential for precise assessment of skin flap viability. Our recent innovative development of near-infrared speckle contrast diffuse correlation tomography (scDCT) technique provides a noninvasive (dye-free) and noncontact means for continuous 2D/3D imaging of blood flow distributions throughout large/thick tissue volumes such as mastectomy skin flaps. We propose to extend this scDCT prototype to a next generation multi-wavelength scDCT (MW-scDCT) device for perioperative imaging of both blood flow and oxygenation distributions in mastectomy skin flaps. New high-speed algorithms for 2D mapping and 3D image reconstruction will be developed to accommodate rapid online assessment of skin flap hemodynamics. This MW-scDCT system will be tested/optimized using standard tissue-simulating phantoms (Aim 1) and calibrated/validated against a commercial dye-based fluorescence angiography device (SPY Elite®) in swine (Aim 2) and patients (Aim 3) undergoing mastectomy with expander-implant based breast reconstruction. The in vivo studies will determine the capability of our MW-scDCT for intraoperative prediction of MSFN regions/volumes and postoperative optimization of incremental expander volumes to reduce risks of MSFN and other complications. We expect that combined measurements of preoperative baseline and intraoperative alteration in skin flap flow and oxygenation will provide a more accurate assessment of skin flap viability than a one-time single-parameter measurement (i.e., blood flow, blood oxygenation, or fluorescence perfusion). Study outcomes will provide the rationale for designing MW-scDCT guided clinical trials of mastectomy with breast reconstruction to reduce postoperative complications and healthcare costs. Moreover, this noninvasive (dye-free), noncontact, continuous, and cost-efficient imaging system has the potential for perioperative use in many other clinical settings, especially where contact measurements may not be possible, such as for continual and longitudinal monitoring of burns, wounds, and other types of tissue flaps.
抽象的 对大约一半的乳腺癌女性进行乳房切除术。乳房切除术后乳房 重建对身体形象,性,自尊和生活质量有好处。临床预后不良 乳房重建后通常涉及乳房切除术皮瓣坏死(MSFN)或其他并发症 与缺乏血液流动和对伤口组织体积的氧合有关。 MSFN和伤口裂开 导致许多挑战,包括伤口管理问题,延迟调整治疗,美学 妥协,植入物扩展,患者困扰和经济损失。一项允许外科医生的技术 围手术期评估和优化皮瓣的保存,同时避免并发症,对于确保 尽管已经探索了成功的临床结果。 有坏死风险的组织,由于每种技术都有一些挑战,因此没有人获得普遍接受 降低其临床实用性的问题。此外,没有单一技术既可以提供血液流动,又 氧合信息,这对于精确评估皮瓣生存力至关重要。我们最近的创新 近红外斑点对比弥散相关断层扫描(SCDCT)技术的开发提供了一种 无创(无染料)和非接触式均值用于血流分布的连续2D/3D成像 通过大/厚的组织体积,例如乳房切除术皮瓣。我们建议扩展此SCDCT 下一代多波长SCDCT(MW-SCDCT)设备的原型,以定期成像 乳房切除术皮瓣中的血流和氧合分布。新的高速算法2D映射 将开发3D图像重建以适应皮肤皮瓣的快速在线评估 血液动力学。该MW-SCDCT系统将使用标准组织模拟幻象进行测试/优化 (AIM 1)并针对基于商业染料的荧光血管造影装置(SPYELITE®)进行校准/验证 在猪(AIM 2)和患者(AIM 3)接受乳房切除术的患者(AIM 3)中 重建。体内研究将确定我们的MW-SCDCT在术中预测的能力 MSFN区域/量和术后优化增量扩展器量,以降低风险 MSFN和其他并发症。我们期望术前基线和 术中皮瓣流和氧合的术中改变将为皮瓣提供更准确的评估 可行性比一次性单参数测量(即血流,血液氧合或荧光 灌注)。研究成果将为设计MW-SCDCT指导性临床试验提供理由 乳房切除术和乳房重建,以降低术后并发症和医疗保健成本。而且, 这种无创(无染料),非接触,连续和成本效益的成像系统具有潜力 在许多其他临床环境中进行周期性使用,尤其是在可能无法进行接触测量的情况下, 例如,烧伤,伤口和其他类型的组织皮瓣的连续和纵向监测。

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)

暂无数据

数据更新时间:2024-06-01

Guoqiang Yu的其他基金

Time-resolved laser speckle contrast imaging of resting-state functional connectivity in neonatal brain
新生儿大脑静息态功能连接的时间分辨激光散斑对比成像
  • 批准号:
    10760193
    10760193
  • 财政年份:
    2023
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Development of a Wearable Fluorescence Imaging Device for IntraoperativeIdentification of Brain Tumors
开发用于术中识别脑肿瘤的可穿戴荧光成像装置
  • 批准号:
    10697009
    10697009
  • 财政年份:
    2023
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Integrating Astrocytes into Models of Neural Circuits Regulating Behavior
将星形胶质细胞整合到调节行为的神经回路模型中
  • 批准号:
    10294803
    10294803
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Data Science Core
数据科学核心
  • 批准号:
    10294802
    10294802
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Integrating Astrocytes into Models of Neural Circuits Regulating Behavior
将星形胶质细胞整合到调节行为的神经回路模型中
  • 批准号:
    10461225
    10461225
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Integrating Astrocytes into Models of Neural Circuits Regulating Behavior
将星形胶质细胞整合到调节行为的神经回路模型中
  • 批准号:
    10693168
    10693168
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Data Science Core
数据科学核心
  • 批准号:
    10461224
    10461224
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Data Science Core
数据科学核心
  • 批准号:
    10693164
    10693164
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
High-density optical tomography of cerebral blood flow and metabolism in small animals
小动物脑血流和代谢的高密度光学断层扫描
  • 批准号:
    10323090
    10323090
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
High-density optical tomography of cerebral blood flow and metabolism in small animals
小动物脑血流和代谢的高密度光学断层扫描
  • 批准号:
    10461939
    10461939
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:

相似国自然基金

无界区域中非局部Klein-Gordon-Schrödinger方程的保结构算法研究
  • 批准号:
    12301508
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
感兴趣区域驱动的主动式采样CT成像算法研究
  • 批准号:
    62301532
  • 批准年份:
    2023
  • 资助金额:
    30.00 万元
  • 项目类别:
    青年科学基金项目
面向多区域单元化生产线协同调度问题的自动算法设计研究
  • 批准号:
    62303204
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于深度强化学习的约束多目标群智算法及多区域热电调度应用
  • 批准号:
    62303197
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
面向二氧化碳封存的高可扩展时空并行区域分解算法及其大规模应用
  • 批准号:
    12371366
  • 批准年份:
    2023
  • 资助金额:
    43.5 万元
  • 项目类别:
    面上项目

相似海外基金

Using Machine Learning to Improve the Predictive Accuracy of Disease Cure
使用机器学习提高疾病治疗的预测准确性
  • 批准号:
    10654253
    10654253
  • 财政年份:
    2023
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Precision Medicine for Neonatal Hypoxic-Ischemic Encephalopathy: Combined Neuroimaging Clinical Approach to Link Phenotypes to Prognosis
新生儿缺氧缺血性脑病的精准医学:将表型与预后联系起来的联合神经影像学临床方法
  • 批准号:
    10557147
    10557147
  • 财政年份:
    2022
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Precision Medicine for Neonatal Hypoxic-Ischemic Encephalopathy: Combined Neuroimaging Clinical Approach to Link Phenotypes to Prognosis
新生儿缺氧缺血性脑病的精准医学:将表型与预后联系起来的联合神经影像学临床方法
  • 批准号:
    10417856
    10417856
  • 财政年份:
    2022
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Contrast-Enhanced Ultrasound for Diagnosis and Therapy of Cholangiocarcinoma
超声造影对胆管癌的诊断和治疗
  • 批准号:
    10532782
    10532782
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别:
Everyday Use of Optical Cherenkov Imaging Identifies Adverse Events and Opportunities for Improved Radiation Treatment
光学切伦科夫成像的日常使用可识别不良事件和改进放射治疗的机会
  • 批准号:
    10325725
    10325725
  • 财政年份:
    2021
  • 资助金额:
    $ 49.04万
    $ 49.04万
  • 项目类别: