Optical imaging of tissue properties to guide bowel resection and anastomosis

组织特性的光学成像指导肠切除和吻合

• 批准号: 8910137
• 负责人: Joseph Paul Angelo
• 金额: $ 3.1万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8910137
• 关键词: Address; Anastomosis - action; Animal Model; Animals; Architecture; Area; Biomedical Engineering; Biopsy; Blood Vessels; Clinical; Complex; Defect; Detection; Development; Devices; Diffuse; Environment; Evaluation; Excision; Fast Computation Model; Feedback; Fellowship; Goals; Height; Hemoglobin; Hour; Hydration status; Image; Imaging technology; Intervention; Intestines; Investigation; Ischemia; Laboratories; Lead; Light; Lipids; Maps; Measurement; Measures; Mentorship; Metabolism; Methods; Modeling; Monitor; Morbidity - disease rate; Operative Surgical Procedures; Optics; Oxygen; Patients; Pattern; Perfusion; Physiological; Postoperative Period; Probability; Procedures; Process; Property; Relative (related person); Sampling; Scheme; Scientist; Sensitivity and Specificity; Shapes; Site; Solutions; Surgeon; Surrogate Markers; System; Techniques; Technology; Time; Tissue Sample; Tissue Viability; Tissues; Touch sensation; Training; Training Activity; Translating; Translations; Travel; Validation; Vascular blood supply; Vision; Water; Work; base; career; career development; clinically significant; data acquisition; design; experience; image processing; imaging system; in vivo; indexing; mortality; novel; optical imaging; parallel computer; public health relevance; quantitative imaging; research study; spectrograph; theories; tissue oxygenation; tissue phantom; tool

 DESCRIPTION (provided by applicant): There currently exist no tools to provide real-time guidance for surgeons in the management of bowel resection and anastomosis. Practitioners currently rely on their vision, touch, and experience to identify anastomotic site defects that could potentially lead to major complications. Consequently, procedures are guided subjectively, resulting in unacceptable morbidity (24%) and mortality (3%) rates. Given that over 250,000 patients undergo bowel resection and anastomosis every year in the U.S. alone, a novel imaging technology assessing bowel tissue status is desperately needed. The hypothesis underlying this study is that with near-infrared (NIR) light, which travels deep into tissues (<10mm), recent advances in diffuse optical imaging will permit the real-time quantification of bowel tissue optical properties, providing physiologically-relevant information relative to perfusion, oxygen saturation, metabolism, hydration and sub-cellular content. In particular, the method of Single Snapshot Optical Properties (SSOP) imaging, along with robust light propagation models, can enable the quantification of tissue properties in real-time and over large fields of view (>100cm2). Such technology offers the potential to provide quantitative imaging of tissue constituents' composition as surrogate markers for tissue viability, enabling surgeons to intervene with objective information at the time of surgery. The proposed work will translate the fundamental strengths of SSOP into a robust, objective tissue evaluation technology for guidance of bowel resection and anastomosis procedures. The first aim proposes to implement a robust spectral image acquisition scheme, capable of applying highly accurate height corrections and quantitatively mapping physiological information, such as tissue hemoglobin oxygenation, in real-time. The second aim is to develop novel processing methods and to implement parallel computation architectures to enable real-time imaging of tissue properties. Finally, in the third aim an optical index will be developed to maximize specificity an sensitivity to ischemia-related damage in large animal models, using the device and methods developed through this project. Overall, this F31 fellowship application, while launching the career of a biomedical engineer, proposes solutions to solve a longstanding clinical problem and has the potential to impact the way gut surgeries are performed.

 描述(由申请人提供)：目前还没有工具为外科医生提供肠切除和吻合术的实时指导。医生目前依靠他们的视觉、触觉和经验来识别可能导致主要并发症的吻合口缺陷。因此，手术是主观指导的，导致不可接受的发病率(24%)和死亡率(3%)。仅在美国，每年就有超过25万名患者接受肠道切除和吻合术，因此迫切需要一种新的成像技术来评估肠道组织状况。这项研究的假设是，随着近红外(NIR)光深入组织(10 Mm)，漫反射光学成像的最新进展将使肠道组织光学特性的实时量化成为可能，提供与灌流、血氧饱和度、新陈代谢、水合作用和亚细胞含量相关的生理信息。特别是，单次快照光学特性(SSOP)成像方法，加上强大的光传播模型，可以实时和在大视场(&gt；100cm2)上量化组织特性。这种技术提供了提供组织成分组成的定量成像作为组织生存能力的替代标记的可能性，使外科医生能够在手术时使用客观信息进行干预。这项拟议的工作将把SSOP的基本优势转化为一种强大、客观的组织评估技术，用于指导肠道切除和吻合术。第一个目标是实现一种稳健的光谱图像采集方案，能够应用高精度的高度校正和实时定量绘制生理信息，如组织中的血红蛋白氧合。第二个目标是开发新的处理方法和实现并行计算体系结构，以实现组织属性的实时成像。最后，在第三个目标中，将使用通过该项目开发的设备和方法来开发光学指数，以在大型动物模型中最大限度地提高对与缺血相关的损害的特异性和敏感性。总体而言，这份F31奖学金申请在开启生物医学工程师职业生涯的同时，提出了解决长期存在的临床问题的解决方案，并有可能影响肠道手术的执行方式。