3D optical histopathology for head and neck intraoperative consultation.

用于头颈部术中咨询的 3D 光学组织病理学。

• 批准号: 10578781
• 负责人: YEHE LIU
• 金额: $ 19.15万
• 依托单位: OPSICLEAR LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10578781
• 关键词: 3-Dimensional; Address; Affect; Algorithms; Artificial Intelligence; Benchmarking; Calibration; Capital; Classification; Clinical; Clinical Oncology; Clinical Pathology; Clinical Trials; Color; Consultations; Data; Data Analyses; Data Set; Databases; Evaluation; Excision; Feedback; Formalin; Freezing; Frozen Sections; Head and Neck Cancer; Head and Neck Neoplasms; Head and neck structure; Histology; Histopathology; Image; Imaging Device; Imaging technology; Immunohistochemistry; Innovation Corps; Liquid substance; Maintenance; Malignant - descriptor; Methods; Microscope; Microscopy; Morphologic artifacts; Network-based; Operating Rooms; Operative Surgical Procedures; Optics; Outcome; Paraffin Embedding; Pathologist; Pathology; Phase; Play; Postoperative Period; Preparation; Procedures; Process; Protocols documentation; Reagent; Resected; Resolution; Resources; Risk; Sampling; Sampling Errors; Slice; Slide; Specific qualifier value; Specimen; Stains; Surgeon; Surgical Oncology; Techniques; Technology; Temperature; Testing; Thick; Thinness; Three-Dimensional Imaging; Time; Tissues; Training; Translating; Validation; Work; accurate diagnosis; analytical tool; cancer surgery; clinically relevant; cost; data visualization; design; design verification; experimental study; graphical user interface; imaging system; improved; improved outcome; innovation; manufacturing scale-up; microscopic imaging; mortality; neural network; novel; pre-clinical; prototype; screening; success; surgery outcome; three-dimensional visualization; tissue preparation; tissue processing; tool; tumor; user friendly software; user-friendly; virtual; wasting

Project Summary Intraoperative consultations (IOC, often refers to frozen-section histopathology during surgery) significantly improve the outcome of many oncological surgeries. However, even though this procedure generates results much faster than traditional formalin-fixed paraffin-embedded (FFPE) histopathology, it is still lengthy for time- sensitive surgeries such as head and neck tumor resections. Surgeries often need to be paused during the IOC, leading to an expensive waste of operating room time and resources. Because IOC usually requires a fast turnaround, only a few slices can be prepared and evaluated at a time. Miscommunication between surgeons and pathologists leads to sampling errors. Freezing artifacts result in degraded histology quality. These limitations increase the risk of missing important histopathology information in the slice, resulting in false- negative margins which affects the success rate and long-term outcomes of cancer surgeries. Thus, there is a need for faster and more reliable intraoperative histopathology evaluation. To address these limitations, we propose to develop an alternative histology framework for intraoperative histopathology assessment using a combination of optical clearing and 3D imaging technologies developed in our lab. Our proposed product will provide 3D histology information of intraoperative specimens with a faster and simpler workflow than the incumbent solution. The product comprises three major components: 1) a rapid tissue processing pipeline that makes tissue transparent with a few washes, 2) a user-friendly imaging system that enables real-time 3D microscopy imaging of the transparent whole-mount clinical specimens, 3) A software user interface that translates the 3D data into 2D images with pathologist-familiar color contrast and assists the pathologist in interpreting the data. 3D virtual histology has been proposed as an alternative to slice-based histopathology to provide more accurate diagnoses. However, current 3D virtual histopathology techniques often have high complexity and long turnaround time. Our preliminary customer discovery suggested it was highly challenging for histology labs to incorporate these new techniques into the existing well-established workflow due to high capital cost and complexity. By simplifying the sample preparation into 2-3 fluid washes and providing a plug- and-play 3D imaging device that requires minimal calibration and maintenance, our product will enable 3D virtual histopathology that is easier, faster, and more accurate than the traditional methods.

项目摘要 术中咨询（IOC，通常是指手术期间冷冻的组织病理学） 改善许多肿瘤手术的结果。但是，即使此过程生成结果 比传统的福尔马林固定石蜡包裹（FFPE）组织病理学快得多，时间仍然很长 敏感手术，例如头颈肿瘤切除术。在国际奥委会期间，经常需要暂停手术 导致手术室时间和资源的昂贵浪费。因为IOC通常需要快速 周转，一次只能准备几个切片。外科医生之间的沟通不畅 病理学家导致采样错误。冻结工件导致组织学质量降解。这些 局限性增加了切片中缺少重要组织病理学信息的风险，从而导致错误 - 影响癌症手术的成功率和长期结局的负边缘。因此，有一个 需要更快，更可靠的术中组织病理学评估。为了解决这些限制，我们 建议开发一种替代的组织学框架，用于使用A的术中组织病理学评估 在我们的实验室中开发的光学清除和3D成像技术的组合。我们提出的产品将 提供3D的术中标本的组织学信息，其工作流程更快，更简单 现有解决方案。该产品包括三个主要组成部分：1）快速组织加工管道 用几次洗涤使组织透明，2）一个用户友好的成像系统，可实时3D 显微镜成像的透明全安装临床标本的显微镜成像，3）软件用户界面 将3D数据转换为具有病理学家与熟悉对比的2D图像，并有助于病理学家 解释数据。已经提出了3D虚拟组织学作为基于切片的组织病理学的替代方法 提供更准确的诊断。但是，当前的3D虚拟组织病理学技术通常具有较高的 复杂性和漫长的周转时间。我们的初步客户发现表明这是高度挑战的 对于组织学实验室，将这些新技术纳入现有的良好工作流程中 资本成本和复杂性。通过将样品制剂简化为2-3个流体洗涤，并提供插件 和播放3D成像设备，需要最小的校准和维护，我们的产品将启用3D虚拟 组织病理学比传统方法更容易，更快，更准确。