Mixed Reality Technology in Laparoscopic Partial Nephrectomy
NCT ID: NCT05015179
Last Updated: 2021-08-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
47 participants
INTERVENTIONAL
2020-06-01
2021-03-01
Brief Summary
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Investigators prospectively enrolled 47 patients with LPN between June 2020 and February 2021. Patients were randomly assigned into two groups: the control group (24 patients), who underwent operation with an intraoperative ultrasound (US) control and the experimental group (23 patients), who underwent operation with the aid of the MR model. Randomization was performed using a computerized randomization program and sealed envelopes. Patients were included in the study if they were 18 years of age or older, were able to sign informed consent, and had T1a renal tumors amenable to LPN. Patients were excluded if they were unwilling to participate or did not meet the inclusion criteria. For each patient, investigators prospectively collected demographic data including age, body mass index, clinical tumor size, side, location, and complexity score according to the PADUA scoring system; perioperative data (including time for renal pedicle exposure and time for renal tumor detection and duration of ischemia); pathological data; data on postoperative functional outcome and complications, classified according to the Clavien-Dindo system.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
SINGLE_GROUP
TREATMENT
SINGLE
Study Groups
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Control
Laparoscopic partial nephrectomy is performed with an intraoperative ultrasound (US) control
No interventions assigned to this group
Experimental
Underwent Laparoscopic partial nephrectomy with the aid of the mixed reality model
mixed reality technology in laparoscopic partial nephrectomy
All patients undergo contrast-enhanced computed tomography before surgery. DICOM files are converted to a 3D model. This model is then sent to HoloLens 2 smart glasses using HLOIA software
Interventions
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mixed reality technology in laparoscopic partial nephrectomy
All patients undergo contrast-enhanced computed tomography before surgery. DICOM files are converted to a 3D model. This model is then sent to HoloLens 2 smart glasses using HLOIA software
Eligibility Criteria
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Inclusion Criteria
* had T1a renal tumors amenable to LPN
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Saint Petersburg State University, Russia
OTHER
St. Petersburg State Pavlov Medical University
OTHER
Responsible Party
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Locations
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Saint Petersburg State University Hospital
Saint Petersburg, , Russia
Countries
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Other Identifiers
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38/124-25
Identifier Type: -
Identifier Source: org_study_id
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