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Spots Global Cancer Trial Database for Mixed Reality Technology in Laparoscopic Partial Nephrectomy

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Trial Identification

Brief Title: Mixed Reality Technology in Laparoscopic Partial Nephrectomy

Official Title: Using Mixed Reality Technology to Facilitate Laparoscopic Partial Nephrectomy

Study ID: NCT05015179

Conditions

Kidney Tumor

Study Description

Brief Summary: The aim of our study was: a) to evaluate the usefulness of the MR model for renal pedicle exposure and identification of the tumor's exact location during LPN, and b) to evaluate the subjective utility of the MR model as an intraoperative reference tool. 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.

Detailed Description:

Keywords

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Saint Petersburg State University Hospital, Saint Petersburg, , Russian Federation

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

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