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Pulmonary Nodule Localization Under Thoracoscopic Surgery- a Machine Learning Based Retrospective Analysis and Prospective Validation
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.
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.
Age
20 - No limit years
Sex
ALL
Healthy Volunteers
No
E-DA Hospital
Kaohsiung City, Taiwan
Start Date
January 23, 2021
Primary Completion Date
December 31, 2021
Completion Date
December 31, 2021
Last Updated
January 26, 2021
50
ESTIMATED participants
Thoracoscopy
PROCEDURE
Lead Sponsor
E-DA Hospital
Data Source & Attribution
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View ClinicalTrials.gov Terms and ConditionsNCT07484867