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临床试验/NCT06497686
NCT06497686尚未招募不适用

The Application of Rapid Fresh Digital Pathology on the Diagnosis and Biomarker Testing of Lung Cancer

National Taiwan University Hospital0 个研究点目标入组 300 人开始时间: 2024年7月15日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
300
主要终点
Evaluate the feasibility of replacing frozen section pathology with rapid digital pathology diagnosis.

研究概览

简要总结

Through this project, the rapid staining process will be optimized for ex-vivo human lung specimens and integrate advanced ex-vivo mesoscale nonlinear optical gigascope. Initially, this will provide rapid digital pathological diagnosis during lung cancer surgeries. This will help achieve the dual goals of precise and efficient complete resection of lung cancer tissues while preserving tissue functionality. The application of this technology aims to provide higher-quality medical services for patients suffered from lung cancers.

详细描述

Frozen section can provide rapid diagnosis during the operation, and its information is very important for surgeons to make decisions for the operative methods, especially for patients whose clinical conditions or lesions sites are inappropriate for biopsy. The frozen section procedure requires a pathological laboratory, a skilled technician, and an experienced pathologist. Not all pathological laboratories can perform the frozen section procedure. The frozen section can also cause frozen artifacts and tissue loss especially for small biopsy samples. In this study rapid fresh digital pathology combining the rapid whole-mount hematoxylin-eosin (H&E) tissue staining (the-RTS) method and optical imaging via mesoscale nonlinear optical gigascope (mNLOG) will be used to obtain digital images with ultra-high resolution of resected lung specimens. These images will be analyzed by experienced pathologists and compared with H&E-stained slides from traditional frozen section procedures to see if the rapid fresh digital pathology can be used as an alternative method for intraoperative frozen section procedure.

Moreover, the potential to use rapid fresh digital pathology in the detection of lung cancer biomarkers (including low-grade or high-grade patterns, invasive or in situ lesions, and STAS) and three-dimensional pathology will also be evaluated.

研究设计

研究类型
Observational
观察模型
Case Only
时间视角
Prospective

入排标准

年龄范围
20 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • (1) Adults aged 20 and above.
  • (2) Patients diagnosed with lung cancer or lung tumors, scheduled for surgical resection.
  • A total of 300 patients are expected to be included.

排除标准

  • (1) Patients unable to provide consent. (e.g., inability to speak, inability to communicate in Chinese, etc.).
  • (2) Patients for whom a definitive pathological diagnosis cannot be established.
  • (3) Patients suitable only for biopsy and not for surgical resection.
  • (4) Exclude specimens that are too small or lesions that are too small to retain extra tissue.

结局指标

主要结局

Evaluate the feasibility of replacing frozen section pathology with rapid digital pathology diagnosis.

时间窗: 1 years

Obtain a portion of specimens and directly perform rapid H\&E staining. Then, place the edge of the cut surface of the specimen flat on the microscope objective for observation. The same specimen will then undergo the standard histological staining process in the pathology department for comparative analysis. Another portion of the specimen will be processed using the pathology department's standard frozen section procedure for comparative analysis. In this study, the investigators will acquire the pathological tissue images (with multiple distinct structures like nuclear atypia, vessels, vesicles, and so on) in those images via rapid-fresh-pathology, frozen pathology and formalin-fixed embedded pathology. And the analysis of the number of abnormal cells, irregular vesicles and tumor structures will be conducted to provide pathologists information to compare and distinguish whether it is normal or not.

次要结局

  • Utilize rapid digital pathology for biomarker detection and 3D pathology in lung cancer.(1 year)

研究者

申办方类型
Other
责任方
Sponsor

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