The Application of Rapid Fresh Digital Pathology on the Diagnosis and Biomarker Testing of Lung Cancer
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
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.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Min-Shu Hsieh, PhD
- Phone Number: 263155 (02)23123456
- Email: ms hsieh065@gmail.com
Study Contact Backup
- Name: Yao-Chen Tseng, Master
- Phone Number: (02)33661552
- Email: opiuy1234567@yahoo.com.tw
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- (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.
Exclusion Criteria:
- (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.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Control human lung tissues (normal human lung tissues)
|
An nonlinear optical microscope with ultra-large field of view and ultra-high resolution.
An optical microscope used to examine the fluorescence signal from stained tissues.
|
|
Cancerous human lung tissues
|
An nonlinear optical microscope with ultra-large field of view and ultra-high resolution.
An optical microscope used to examine the fluorescence signal from stained tissues.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Evaluate the feasibility of replacing frozen section pathology with rapid digital pathology diagnosis.
Time Frame: 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.
|
1 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Utilize rapid digital pathology for biomarker detection and 3D pathology in lung cancer.
Time Frame: 1 year
|
Obtain specimens for testing with rapid immunohistochemical (IHC) staining process and used for the three-dimensional reconstruction of lung tissue structure.
First, label and stain the specimen using antibodies, then observe it under the mesoscale optical microscope or the fluorescence microscope.
The same specimen will then undergo the standard histological staining process in the pathology department for comparative analysis.
In this study, the image data will be reconstructed using 3D reconstruction technology to present the three-dimensional structure (for example: vessels, vesicles and so on) of the lung tissue specimen.
This will be used for three-dimensional digital pathology research on tumor grading and growth patterns.(including
low-grade or high-grade patterns, invasive or in situ lesions, and STAS) and three-dimensional pathology will also be evaluated.
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 202405132RINE
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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