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Value of 3D Printing for Comprehension of Liver Surgical Anatomy

Completed
Conditions
Liver Cancer
Interventions
Other: surgical residents' comprehension of the hepatic anatomy
Registration Number
NCT03153332
Lead Sponsor
Guangzhou Women and Children's Medical Center
Brief Summary

To our knowledge, it has not been analyze whether 3D printed liver model would improve the perception of a given liver tumor or the precision of operation planning in liver surgery. We design this prospective controlled trial to test whether the 3D-printed patient specific liver model could be more informative than standard MDCT (multi-row detector computed tomography ) and 3D visualization system in predicting the surgical anatomy of liver.

Detailed Description

The primary objective was to investigate whether 3D printing can improve localization of hepatic pathology. The secondary objective was to investigate whether 3D printing can improve the precision of surgical proposal.

The dataset of patients were prepared and stratified into MDCT, 3D visualization system and 3D printed liver model groups. The process started from MDCT scan image acquisition and moved through image segmentation and 3D rendering to end up with 3D printing.

Surgical residents were assigned to three different groups to study different modes of patients' data. Residents were ask to state the liver segment in which the tumor resides and make a minimal resection proposal, including the tumor, the safety margin (1cm) and the dependent liver tissue. Residents were recommended to proceed in a classic way by resecting the whole liver segment. The time spent by each resident was also recorded in order to assess the quickness of comprehension and information transfer of the three different modes of presentation.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
59
Inclusion Criteria
  • Surgical residents
  • Must had experiences with MDCT and 3D visualization system
Exclusion Criteria
  • Non surgical residents
  • No experiences with MDCT or 3D visualization system

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
3D visualization system groupsurgical residents' comprehension of the hepatic anatomyThe 3D virtual reconstructions of seven hepatic tumors were loaded on the visualization software which enables the rotation of the virtual model.
3D printing groupsurgical residents' comprehension of the hepatic anatomy3D-printed models of seven hepatic tumors were created based on MDCT images, participants were allowed to freely handle them.
MDCT groupsurgical residents' comprehension of the hepatic anatomyThe MDCT images of seven hepatic tumors were loaded on software to uniform study conditions, allowing both axial and coronal scans visualization.
Primary Outcome Measures
NameTimeMethod
The primary outcomes was the precise allocation of hepatic diseaseThe primary outcome was assessed within 1 week after the collection of each participants' response.

For tumor allocation to the liver segments, 8 points were awarded if all segments were correctly identified in which the tumors resided. If the tumors was located in more than one segment, the 8 maximal achievable points were divided between these segments. Erroneously identified segments were awarded 0 point. Alternatively, the primary outcomes were also simply judged as right or wrong according to the final surgical results.

Secondary Outcome Measures
NameTimeMethod
Resection proposal of liver pathologyThe secondary outcome was assessed within 1 week after the collection of each participants' response.

he resection proposals on the liver were compared with surgical results that had been evaluated by surgeons and judged by the formula mentioned earlier.

Time spent to judge tumor locationThe secondary outcome was assessed within 1 week after the collection of each participants' response.

The time spend to assess tumor location by each resident was documented as seconds

Trial Locations

Locations (1)

he Fifth People's Hospital of Dongguan City

🇨🇳

Dongguan, Guangdong, China

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