Clinical trial · Observational
Preoperative Evaluation of Pulmonary Vascular Anatomy by Holograms
Preoperative Evaluation of Pulmonary Vascular Anatomy by Augmented Reality (Holograms) in Patients Undergoing Lung Resection
- 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)
Pulmonary vascular anatomy represents a constant challenge during lung resection, because of its variability in terms of vascular branches and anatomical variations. Preoperative standard computed tomography is not always sufficient to foresee tricky abnormalities; augmented reality, thanks to holograms creation, may offer additional data on pulmonary vascular anatomy and its relation with neoplastic tissue. The aim of this study is to assess the possibility of correctly predict number, location and potential anomalies of pulmonary vascular anatomy of the lobe to be resected in patients undergoing lung resection for cancer. Patients will receive standard preoperative oncologic and functional assessment. Preoperative computed tomography (CT) - performed according to a specific protocol - will be performed. CT images will be subsequently elaborated to generate 3D images (holograms). Two radiologists and two thoracic surgeons will analyze CT images and report number of artery and vein branches for the lobe to be resected. Moreover they will report every anatomical variation, according to the normal anatomy. After that, the same two radiologists and thoracic surgeons will analyze the holograms and perform the same analysis as quoted above. Patients will undergo to the planned surgical resection. The operating team will report the exact number of artery and vein branches of the resected lobe as well as every anatomical variation. Preoperative CT and holographic findings of the radiologists and the thoracic surgeons will be matched with the report of the operating team.
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 |
|---|---|---|---|
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
| Pulmonary Disease | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Hologram | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Prediction of the exact number of pulmonary arteries and veins of the lobe to be resected.
- timeFrame
- 2020 - 2022
- description
- Two different investigator (1 senior radiologist and 1 senior thoracic surgery) evaluate standard preoperative CT scan and indicate the number of pulmonary artery and veins of the lobe to be resected; this will be reported in a dedicated registry. After that, the same investigators will evaluate holograms of the same patients and will report the number of arteries and veins of the lobe to be resected; they will then register these data in the same registry. After the operation, the operating surgeon will report - as usual - the number of the arteries and veins resected during the procedure. Finally the prediction of the investigators obtained only by CT scan evaluation or bay CT scan + holograms evaluation, will be compared with the operatory report.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 90 Years
Show eligibility criteria text
Inclusion Criteria: * Planned anatomical resection for lung cancer * Signed and dated informed consent indicating that the patient has been informed of all pertinent aspects of the study. * Willingness and ability to comply with study procedures. Exclusion Criteria: * Age younger than 18 years * Contraindications to general anesthesia * Poor general clinical conditions ( ECOG PS \>=2) * Patients unable to provide informed consent
References
Publications (11)
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- BACKGROUNDQu M, Hou Y, Xu Y, Shen C, Zhu M, Xie L, Wang H, Zhang Y, Chai G. Precise positioning of an intraoral distractor using augmented reality in patients with hemifacial microsomia. J Craniomaxillofac Surg. 2015 Jan;43(1):106-12. doi: 10.1016/j.jcms.2014.10.019. Epub 2014 Oct 29.