Video-assisted Thoracic Surgery Clinical Trial
Official title:
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.
Status | Recruiting |
Enrollment | 50 |
Est. completion date | December 31, 2021 |
Est. primary completion date | December 31, 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 20 Years and older |
Eligibility | Inclusion Criteria: - Age ? 20 years - Lung nodule size ?2cm on the pre-operative computed tomography (CT) - Nodulectomy is performed under thoracoscopy Exclusion Criteria: - Age < 20 years - Lung nodule size > 2cm on CT or in the final pathology report - Open surgery for nodulectomy |
Country | Name | City | State |
---|---|---|---|
Taiwan | E-DA Hospital | Kaohsiung |
Lead Sponsor | Collaborator |
---|---|
E-DA Hospital |
Taiwan,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Nodule detection | Whether the nodule could be detected by conventional visualization or palpation | During surgery |
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