Augmented Reality-assisted Localization of Solitary Pulmonary Nodules for Precise Sublobar Lung Resection (ARPL)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Overall objective:
- Research and development of puncturing system of preoperative rapid positioning of lung nodules under the guidance of augmented reality images with hook-wire.
- Accurate sublobectomy of early-stage lung cancer assisted by thoracoscopic positioning needle and virtual imaging to relieve the pain caused by localization of pulmonary nodule, reduce the risk of puncturing.
Innovation points:
- Establish an accurate fitting database of 3D virtual lung model reconstructed from CT scans. Because the patient's posture may be different when in CT scan and under general anesthesia, and also affected by breathing at the same time, it may cause difference between the virtual lung and the real one. In addition, during the operation of the thoracoscopy, lungs are in a collapsed state. Therefore, in order to achieve an accurate fit between virtual and reality lung, it is necessary to generate a virtual lung model that can be automatically adjusted according to body surface markers and lung anatomical markers. This technology has not yet been reported in the field of digital reconstruction of lung.
- Through augmented reality technology, puncturing localization of lung nodule will not necessarily depend on multiple CT scan. Puncture can be performed under general anesthesia pre-operatively, which can relieve the pain of the patient, reduce the cost of puncture and the harm of complications, and reduce the radiation exposure of the patient and the doctor. This technical concept has not been reported.
- Detailed description 20 patients with solitary pulmonary nodule were selected and prepared for VATS sublobectomy. For this clinical study, after fixing the enrolled patients on the operating bed, they were general anesthetized to reduce oral and airway secretions. The patients were intubated, the ventilator was connected, and vital signs were monitored. Markers will be set on their chest three days before surgery and CT scan will be performed for everyone. The digital imaging and communications (DICOM) image data obtained from the scan were stored. After the first CT scan for each patient, a 3D Mask of patient was constructed and cropped using the Crop Mask function and the Erase curve erasing tool in Edit Masks; using the Calculate Part tool to calculate the 3D model of each part; STL format files of the model were exported separately to Autodesk FBX format for the subsequent development and study; Autodesk FBX model and Vuforia Image Target database were imported into Unity to create a suitable AR scene. After compiling the data, the C# solution was generated and deployed into Microsoft HoloLens before starting the AR surgical system. Hook-wire was used for percutaneous puncture according to the AR localization of the SPNs.
- Data collection During the procedure, the angles between the planned and actual puncture paths, the distance between the planned entry point and the punctured point, and the distance between the planned and actual puncture depths were all recorded and calculated. Another CT scan was took before the calculation for each patient to evaluate the puncture result. The three-dimensional position of the puncture needle was reconstructed by JinSe MIDIVI Intelligent Cloud Platform (JinSe Medical Co., Ltd. Shanghai, China). Then the three-dimensional puncture needle was compared with the preset puncture path. The main parameters for comparison are the angle between the two lines, the difference in the spatial position of the vertices of the two lines, and the distance between the actual entry point and the plan one after the puncture needle enters the body surface. Then these parameters are automatically calculated by the software Materialise 3-matic (Materialise Inc., Belgium). The hit rate of hook-wire localization was also statistically significant.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Xinghua Cheng, Ph.D
- Phone Number: +86 17701681215
- Email: chengxinghua_001@163.com
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- First diagnosed as IA Stage Lung cancer
- Manifested as Solitary Pulmonary Nodule (SPN) with diameter less than 2cm
- Prepared for pulmonary lobectomy
- The cardiac-pulmonary function and hepatorenal function are eligible for pulmonary surgery
Exclusion Criteria:
- patients with previous pulmonary surgical history.
- patients who had chemotherapy or radiological therapy.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: AR-localization
|
In this study, AR was utilized to assist in the localization of SPNs during sublobectomy lung resection in patient to assess the safety and effectiveness of the technique.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accurately localization of SPN
Time Frame: 30 minutes
|
The Hook-wire needle hit the 1 cm area around the SPN under the assistance of AR
|
30 minutes
|
|
Miss the target
Time Frame: 30 minutes
|
The Hook-wire needle hit out of the 1cm area around the SPN
|
30 minutes
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Xinghua Cheng, Ph.D, Shanghai Pulmonary Tumor Medical Center, Shanghai Chest Hospital
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- SHC20210913
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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