HSI for Intersegmental Plane Identification During Sublobar Pulmonary Resections
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorLungenClinic Grosshansdorf
About this trial
The purpose of this study is the identification of the intersegmental plane and navigation during sublobar pulmonary resections in lung cancer using Hyperspectral Imaging, the comparison with ICG fluorescence intersegmental plane identification, and the establishment of automatic intersegmental plane navigation using machine learning strategies for intraoperative navigation.
Eligibility criteria
Qualifiers
Histologically confirmed lung cancer stage I/II or malignancy suspicious nodules
Segmentectomy is oncologically indicated or impaired pulmonary and/or cardiac function prevent anatomical resection
Male or female patients aged ≥ 18 years without upper age limit
Serum creatinine ≤ 1.5 x upper limit of normal or creatinine clearance (CrCl ≥ 50 mL/min, Cockcroft-Gault formula)
Disqualifiers
Requirement of a lobectomy or pneumonectomy to achieve complete resection
Allergy to indocyanine green or iodine
Hyperthyroidism
Current or planned pregnancy, nursing period (if defined as requirement of clinical routine treatment)
Trial design
Treatments tested in this trial
- Hyperspectral Imaging
Treatment groups
50 Participants
are divided into 1 treatment groupSponsors and collaborators
LungenClinic Grosshansdorf
Lead sponsor
Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Germany
Collaborator
Source ClinicalTrials.gov