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.

项目概要 术中会诊（IOC，常指手术过程中的冰冻切片组织病理学）显着 改善许多肿瘤手术的结果。然而，即使这个过程产生结果 比传统的福尔马林固定石蜡包埋（FFPE）组织病理学快得多，但时间仍然较长- 敏感手术，例如头颈部肿瘤切除术。国际奥委会期间手术经常需要暂停， 导致手术室时间和资源的昂贵浪费。因为IOC通常需要快速 周转时，一次只能准备和评估几片。外科医生之间的沟通不畅 病理学家会导致采样错误。冷冻伪影会导致组织学质量下降。这些 限制增加了切片中丢失重要组织病理学信息的风险，导致错误 负切缘会影响癌症手术的成功率和长期结果。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 建议开发一种替代组织学框架，用于术中组织病理学评估，使用 我们实验室开发的光学透明和 3D 成像技术的结合。我们提出的产品将 提供术中标本的 3D 组织学信息，工作流程比 现有的解决方案。该产品由三个主要部分组成：1) 快速组织处理管道， 只需几次清洗即可使组织透明，2) 用户友好的成像系统，可实现实时 3D 透明整体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熟悉的色彩对比度的 2D 图像，并协助病理学家 解释数据。 3D 虚拟组织学已被提议作为基于切片的组织病理学的替代方案 提供更准确的诊断。然而，当前的 3D 虚拟组织病理学技术往往具有很高的准确性。 复杂性和周转时间长。我们的初步客户发现表明这是非常具有挑战性的 组织学实验室将这些新技术纳入现有完善的工作流程中，因为高 资本成本和复杂性。通过将样品制备简化为 2-3 次流体清洗并提供塞 即玩 3D 成像设备，需要最少的校准和维护，我们的产品将实现 3D 虚拟 组织病理学比传统方法更容易、更快、更准确。