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Lung CancerNCT06497686

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

An observational study of Lung Cancer and Intraoperative Pathology, run by National Taiwan University Hospital.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

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. Read more about this study

Who is it for?
Ages 20 years and older
What is being tested?
mesoscale nonlinear optical gigascope and Fluorescence microscope
How many people
300 participants
Where
No sites listed yet
Study dates
15 Jul 2024to 31 Dec 2025
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 20 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: Following standard surgical procedures for lung cancer tumor resection, the investigators will directly obtain tissue from the post-operative specimens. Without affecting pathological diagnosis, staging, or the assessment of surgical safety margins, the investigators will collect tissue samples measuring approximately 0.5-2.0 cm x 0.5-2.0 cm x 0.3-2.0 cm from the lung cancer/tumor and the surrounding normal tissue or the junction between the tumor and its surrounding normal tissue. These samples will be used for microscopic imaging system detection of lung cancer/tumor tissue. This process, being different from the tissue sent for intraoperative pathological examination, will not affect subsequent diagnosis and treatment.

Who may be able to join

  • (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.

Who cannot join

  • (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.

Trial locations and contacts

No sites are listed yet.

Yao-Chen Tseng, Master contact

(02)33661552

opiuy1234567@yahoo.com.tw

About this study

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.

Read the 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.

Being tested
mesoscale nonlinear optical gigascope, Fluorescence microscope
Medical subject headings
Lung Neoplasms

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • mesoscale nonlinear optical gigascopeDiagnostic test

    An nonlinear optical microscope with ultra-large field of view and ultra-high resolution.

  • Fluorescence microscopeDiagnostic test

    An optical microscope used to examine the fluorescence signal from stained tissues.

Study groups in NCT06497686
Study groupRoleWhat they receive
Control human lung tissues (normal human lung tissues)Not described
Receives: Diagnostic Test: mesoscale nonlinear optical gigascope; Diagnostic Test: Fluorescence microscope
Cancerous human lung tissuesNot described
Receives: Diagnostic Test: mesoscale nonlinear optical gigascope; Diagnostic Test: Fluorescence microscope

What is being measured

The primary outcome is the main question the study is designed to answer.

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

    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.

    Measured: 1 years

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

    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.

    Measured: 1 year

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted12 Jul 2024
  2. Study start15 Jul 2024 (estimated)
  3. Primary completion30 Jun 2025 (estimated)
  4. Study completion31 Dec 2025 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Case only
Time perspective
Prospective
Enrolment
300 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06497686
Sponsor's protocol ID
202405132RINE
Status last verified
Jun 2024
First submitted
20 Jun 2024
Last updated
15 Jul 2024
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Lung Cancer and Intraoperative Pathology, run by National Taiwan University Hospital.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 15 Jul 2024. Status can change between updates, so confirm with the study contact before making plans.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Min-Shu Hsieh, PhD ((02)23123456 ext. 263155, ms hsieh065@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Evaluate the feasibility of replacing frozen section pathology with rapid digital pathology diagnosis. (time frame: 1 years). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Jul 2024; AzTrials last refreshed its copy on 7 Nov 2026.

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