NCT03153332

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
59

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Jul 2017

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 6, 2017

Completed
9 days until next milestone

First Posted

Study publicly available on registry

May 15, 2017

Completed
2 months until next milestone

Study Start

First participant enrolled

July 1, 2017

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 10, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 10, 2018

Completed
Last Updated

January 17, 2018

Status Verified

January 1, 2018

Enrollment Period

6 months

First QC Date

May 6, 2017

Last Update Submit

January 13, 2018

Conditions

Outcome Measures

Primary Outcomes (1)

  • The primary outcomes was the precise allocation of hepatic disease

    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.

    The primary outcome was assessed within 1 week after the collection of each participants' response.

Secondary Outcomes (2)

  • Resection proposal of liver pathology

    The secondary outcome was assessed within 1 week after the collection of each participants' response.

  • Time spent to judge tumor location

    The secondary outcome was assessed within 1 week after the collection of each participants' response.

Study Arms (3)

MDCT group

The MDCT images of seven hepatic tumors were loaded on software to uniform study conditions, allowing both axial and coronal scans visualization.

Other: surgical residents' comprehension of the hepatic anatomy

3D visualization system group

The 3D virtual reconstructions of seven hepatic tumors were loaded on the visualization software which enables the rotation of the virtual model.

Other: surgical residents' comprehension of the hepatic anatomy

3D printing group

3D-printed models of seven hepatic tumors were created based on MDCT images, participants were allowed to freely handle them.

Other: surgical residents' comprehension of the hepatic anatomy

Interventions

Surgical residents were assigned to three different groups to evaluate different modes of patients' data. Residents were ask to state the liver segment in which the tumor resided 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.

3D printing group3D visualization system groupMDCT group

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Medical students had to finish five year medical school education (including one year internship), and then went into at least 3 year training program for surgical residency. Those who had finished training of general surgery were the study population.

You may qualify if:

  • Surgical residents
  • Must had experiences with MDCT and 3D visualization system

You may not qualify if:

  • Non surgical residents
  • No experiences with MDCT or 3D visualization system

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

he Fifth People's Hospital of Dongguan City

Dongguan, Guangdong, China

Location

Related Publications (6)

  • Marescaux J, Clement JM, Tassetti V, Koehl C, Cotin S, Russier Y, Mutter D, Delingette H, Ayache N. Virtual reality applied to hepatic surgery simulation: the next revolution. Ann Surg. 1998 Nov;228(5):627-34. doi: 10.1097/00000658-199811000-00001.

  • Lamade W, Glombitza G, Fischer L, Chiu P, Cardenas CE Sr, Thorn M, Meinzer HP, Grenacher L, Bauer H, Lehnert T, Herfarth C. The impact of 3-dimensional reconstructions on operation planning in liver surgery. Arch Surg. 2000 Nov;135(11):1256-61. doi: 10.1001/archsurg.135.11.1256.

  • Zein NN, Hanouneh IA, Bishop PD, Samaan M, Eghtesad B, Quintini C, Miller C, Yerian L, Klatte R. Three-dimensional print of a liver for preoperative planning in living donor liver transplantation. Liver Transpl. 2013 Dec;19(12):1304-10. doi: 10.1002/lt.23729. Epub 2013 Oct 21.

  • Igami T, Nakamura Y, Hirose T, Ebata T, Yokoyama Y, Sugawara G, Mizuno T, Mori K, Nagino M. Application of a three-dimensional print of a liver in hepatectomy for small tumors invisible by intraoperative ultrasonography: preliminary experience. World J Surg. 2014 Dec;38(12):3163-6. doi: 10.1007/s00268-014-2740-7.

  • Kusaka M, Sugimoto M, Fukami N, Sasaki H, Takenaka M, Anraku T, Ito T, Kenmochi T, Shiroki R, Hoshinaga K. Initial experience with a tailor-made simulation and navigation program using a 3-D printer model of kidney transplantation surgery. Transplant Proc. 2015 Apr;47(3):596-9. doi: 10.1016/j.transproceed.2014.12.045.

  • Marconi S, Pugliese L, Botti M, Peri A, Cavazzi E, Latteri S, Auricchio F, Pietrabissa A. Value of 3D printing for the comprehension of surgical anatomy. Surg Endosc. 2017 Oct;31(10):4102-4110. doi: 10.1007/s00464-017-5457-5. Epub 2017 Mar 9.

MeSH Terms

Conditions

Liver Neoplasms

Condition Hierarchy (Ancestors)

Digestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesLiver Diseases

Study Officials

  • Tianyou Yang, MD

    Guangzhou Women and Children's Medical Center, Guangzhou Medical University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

May 6, 2017

First Posted

May 15, 2017

Study Start

July 1, 2017

Primary Completion

January 10, 2018

Study Completion

January 10, 2018

Last Updated

January 17, 2018

Record last verified: 2018-01

Locations