Trials / Unknown
UnknownNCT04690790
Pulmonary Nodule Localization Prospective Validation
Pulmonary Nodule Localization Under Thoracoscopic Surgery- a Machine Learning Based Retrospective Analysis and Prospective Validation
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 50 (estimated)
- Sponsor
- E-DA Hospital · Academic / Other
- Sex
- All
- Age
- 20 Years
- Healthy volunteers
- Not accepted
Summary
Localization is the key for successful excision of small target nodules under thoracoscopy, but the procedure also brings risks to patients. However, the criteria is still unclear. The investigators will validate the prediction model produced by institutional retrospective analysis in the prospective cohort.
Detailed description
Excision of targeted lung nodules during thoracoscopy sometimes needs placing a mark before surgery. The procedure of mark placement (localization) could probably cause damages to the patients. However, the criteria for patient selection is still not clear. Through respective analysis, the investigators have set up a prediction model and wish to validate this model prospectively.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| PROCEDURE | Thoracoscopy | Patients who are indicated for thoracoscopic nodulectomy. |
Timeline
- Start date
- 2021-01-23
- Primary completion
- 2021-12-31
- Completion
- 2021-12-31
- First posted
- 2020-12-31
- Last updated
- 2021-01-26
Locations
1 site across 1 country: Taiwan
Source: ClinicalTrials.gov record NCT04690790. Inclusion in this directory is not an endorsement.