Influence of CT 3D on the Learning Curve of Laparoscopic Colorectal Resection

NCT01976000 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 120

Last updated 2015-03-17

No results posted yet for this study

Summary

Laparoscopic colorectal surgery has been widely accepted worldwide; however, despite the well-known benefits and comparable oncological outcomes, it is still limited by a lack of tactile sensation and a reduced operative field view. In addition, the inconsistency in the number and course of the mesenteric vessels significantly influences the learning curve with 30 to 70 cases required for proficiency. To overcome these limitations, the vascular anatomy can be mapped using CT-angiography, and the images can be processed with rendering software to reconstruct a three-dimensional model of the mesenteric vessels. The aim of this study was to assess the influence of visualizing the three-dimensional vascular anatomy on the learning curve for laparoscopic colorectal surgery.All patients who underwent laparoscopic left or right hemicolectomies between January 2012 and January 2014 were evaluated for inclusion in this study. To assess the influence of preliminary knowledge of colonic vascular anatomy on the learning curve, we considered 2 groups of two surgeons with different levels of experience. In the first group (group A), the surgeons were able to view 3D reconstructions before and during the surgery, while the surgeons in Group B were only able to view the 3D reconstructions after surgery.

Conditions

  • Learning Curve of Laparoscopic Colorectal Resections

Interventions

PROCEDURE

multi-slice Computed Tomography angiography and three-dimensional reconstruction software

Sponsors & Collaborators

  • University of Roma La Sapienza

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2012-01-31
Primary Completion
2014-01-31
Completion
2014-01-31

Countries

  • Italy

Study Locations

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Read the full study record

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View NCT01976000 on ClinicalTrials.gov