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Brief Title: Pulmonary Nodule Localization Prospective Validation
Official Title: Pulmonary Nodule Localization Under Thoracoscopic Surgery- a Machine Learning Based Retrospective Analysis and Prospective Validation
Study ID: NCT04690790
Brief 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.
Minimum Age: 20 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
E-DA Hospital, Kaohsiung, , Taiwan
Name: Ming-Wei Kao, M.D., M.S.
Affiliation: E-DA Hospital
Role: PRINCIPAL_INVESTIGATOR