Clinical trial · Observational
Pulmonary Nodule Localization Prospective Validation
Pulmonary Nodule Localization Under Thoracoscopic Surgery- a Machine Learning Based Retrospective Analysis and Prospective Validation
NCT04690790CI-TRIAL-00049627unknownClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Pulmonary Nodules | — | UNRESOLVED | — |
| Video-assisted Thoracic Surgery | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Thoracoscopy | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Nodule detection
- timeFrame
- During surgery
- description
- Whether the nodule could be detected by conventional visualization or palpation
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 20 Years
Show eligibility criteria text
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
References
Publications (0)
Data not yet available
No reference posted for this study.