New microscope technique aims to sharpen diagnosis of mysterious chest fluid
NCT ID NCT06741839
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether using a special microscope (confocal laser endomicroscopy) during a chest camera procedure can better diagnose unexplained pleural disease. About 158 adults with fluid around the lungs that standard tests couldn't diagnose will be randomly assigned to get either the microscope-guided biopsy or the usual visual biopsy. The goal is to see if the microscope helps doctors make a more accurate diagnosis and possibly take fewer tissue samples.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- confocal laser endomicroscopy (a special microscope used during a chest procedure)
- What this could lead to
- If successful, this could make diagnosing hard-to-identify pleural diseases more accurate and reduce the number of biopsies needed.
- What could go wrong
- This is a relatively small, early-stage trial. The new technique may not improve diagnosis enough to justify its use, and there are standard risks from the chest procedure itself.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 158 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Mar 2025
- Expected to finish
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May 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Age ≥ 18 years; * Evidence of exudative pleural effusion in which a specific diagnosis could not be determined using clinical, radiological, laboratory, or cytological examinations * Willingness to participate in the study and undergo an invasive procedure.; Exclusion Criteria: * Pleural thickening or pleural-based mass without pleural effusion on radiologic examination; * Hemodynamic instability; * Presence of parapneumonic effusion; * Any contraindication to pleural biopsy or semirigid thoracoscopy; * Participation in other studies within three months without withdrawal or termination.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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China-Japan Friendship Hospital
RECRUITINGBeijing, Beijing Municipality, 100029, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Disposable scope takes on gold standard in pleural diagnosis
- Could a simple chemical wash replace surgery for trapped lungs?
- Scientists probe link between lung fluid and breathlessness
- New app aims to cut hospital stays for lung patients
- AI matches radiologists in reading chest X-Rays, study finds