A prospective, randomized, controlled study designed to assess whether digital virtual reality (VR) models, created from existing CT scans and MRIs, provide surgeons with an improved understanding of their patients' anatomy, resulting in more efficient operations (robotic partial nephrectomy) and improved patient care.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
92
VR models generated using Ceevra Reveal are viewed by surgeons in connection with the case in addition to source CT/MR image.
John Wayne Cancer Institute at Providence St. John's Heath Center
Santa Monica, California, United States
Mayo Clinic Florida
Jacksonville, Florida, United States
Icahn School of Medicine at Mount Sinai
New York, New York, United States
University of North Carolina, Chapel Hill
Chapel Hill, North Carolina, United States
Total Operative Time
Time frame: During procedure
Blood Loss
Time frame: Measured at end of procedure
Clamp Time
Time frame: Measured at end of procedure
Number of Patients With Conversion to Open Surgery
Time frame: During procedure
Number of Patients With Conversion to Radical Nephrectomy
Time frame: During procedure
Number of Patients With an Intraoperative Complication
Time frame: During procedure
Patient Hospital Stay
Time frame: Measured at time of patient discharge, up to 10 days
Number of Patients With a Positive Surgical Margin
Incomplete removal of tumor as defined by the surgical pathology
Time frame: Measured 1-2 weeks after discharge
Post-Op Complication
Time frame: Measured up to 6 months after discharge
Readmission
Time frame: Measured up to 6 months after discharge
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University of Tennessee
Knoxville, Tennessee, United States
Swedish Urology Group
Seattle, Washington, United States