Skip to content

Evaluating Intuitive 3D Models in Preoperative Surgical Planning for Thoracic and Colorectal Procedures.

A Retrospective Multicenter Study for Intuitive 3D Models (I3DM), During Simulated Preoperative Surgical Planning for Anatomic Lung Resection and Lower Anterior Resection Procedures

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06434727
Acronym
ISI-I3DM-01
Enrollment
80
Registered
2024-05-30
Start date
2024-09-30
Completion date
2025-11-09
Last updated
2026-03-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Disorders, Thoracic

Brief summary

The Study Objective: To evaluate the clinical utility of a 3D model with 2D CT/MRI scans during simulated preoperative surgical planning of open, laparoscopic, or robotic-assisted anatomic lung resection (segmentectomy, lobectomy) or Lower Anterior Resection (LAR) procedures.

Detailed description

This is a Retrospective study evaluating the clinical utility of a 3D model with 2D CT/MRI scans during simulated preoperative surgical planning of open, laparoscopic, or robotic-assisted anatomic lung resection (segmentectomy, lobectomy) or Lower Anterior Resection (LAR) procedures.

Interventions

OTHERobservational study

Observational Study

Sponsors

Intuitive Surgical
Lead SponsorINDUSTRY

Study design

Observational model
OTHER
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

Inclusion criteria

\- DICOM images from Subjects 18 years or older who have undergone either anatomic lung resection (segmentectomy, lobectomy) or a Lower Anterior Resection procedure

Exclusion criteria

* N/A

Design outcomes

Primary

MeasureTime frameDescription
Clinical Utility of 3D Model vs standard 2D in Preoperative Surgcial Planning2 monthsSurgeon questionnaires evaluating their preoperative surgical plan

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 4, 2026