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Improvement of RARP Outcomes Via 3D Printed/Virtual Prostate Models

NCT05982418 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 162

Last updated 2023-08-08

No results posted yet for this study

Summary

Study the effect 3D printed or 3D virtual prostate models of a patient, when manipulated by surgeons during RARP, has on positive surgical margins and functional outcomes of patients. Our main hypothesis is that there is a reduction of positive resection margins and functional outcomes of patients undergoing RARP when surgeons are presented with 3D printed or 3D virtual patient-specific prostate models during surgery. Specifically, we hypothesize that the anatomical knowledge of surgeons that results from the manipulation of 3D printed/virtual models constructed from automated segmentations reduces positive resection margins and functional outcomes.

Conditions

Interventions

DEVICE

3D Printed Models (3D printing facilities at GSTT)

3D patient-specific printed models are given to the surgeon before the start of RARP on a given patient. These 3D models are generated using automatic segmentation in MONAI followed by validation by a radiologist, and then post-processed for 3D printing.

DEVICE

3D Virtual Models (Innersight Labs)

3D patient-specific virtual models loaded into Innersight Labs platform are given to the surgeon before the start of RARP on a given patient. These 3D models are generated using automatic segmentation in MONAI followed by validation by a radiologist, and then post-processed for 3D visualisation.

Sponsors & Collaborators

Study Design

Allocation
NON_RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
MALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-07-31
Primary Completion
2024-01-31
Completion
2024-01-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05982418 on ClinicalTrials.gov