Evidence map›Paper›PMID 31773294›Full record

Observational studyEuropean radiology2020

Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study.

Jan Witowski, Andrzej Budzyński, Anna Grochowska, David H Ballard, Piotr Major, Mateusz Rubinkiewicz, Adriana Złahoda-Huzior, Tadeusz J Popiela, Mateusz Wierdak, Michał Pędziwiatr

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03744624 (Application of 3D Printing in Laparoscopic Surgery of Liver Tumors), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03744624 naunknown statusnot on this map

Application of 3D Printing in Laparoscopic Surgery of Liver Tumors

TypeinterventionalSponsorJagiellonian UniversityRan2017 to 2022Enrolled85ConditionsLiver Cancer, Hepatocellular Carcinoma, Liver MetastasesArmsLaparoscopic liver resection, 3D printing model
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Utilization of 3D printing technology in hepatopancreatobiliary surgery.Journal of Zhejiang University. Science. B · 2024
    Article
  9. Review
  10. Minimizing blood loss and transfusion rate in laparoscopic liver surgery: a review.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2023
    Review
  11. Review
  12. Observational
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. 3D Printing of Physical Organ Models: Recent Developments and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  20. Reusable Modular 3D-Printed Dry Lab Training Models to Simulate Minimally Invasive Choledochojejunostomy.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jan Witowski2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Andrzej Budzyński2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Anna GrochowskaDepartment of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501, Krakow, Poland.
David H BallardMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Piotr Major2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Mateusz Rubinkiewicz2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Adriana Złahoda-HuziorDepartment of Measurement and Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-065, Krakow, Poland.
Tadeusz J PopielaDepartment of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501, Krakow, Poland.
Mateusz Wierdak2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Michał Pędziwiatr2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland. michal.pedziwiatr@uj.edu.pl.ORCID http://orcid.org/0000-0001-9073-2667

Funding

Training OPportunities in Translational Imaging Education and Research (TOP-TIER)T32EB021955 · NIBIB · WASHINGTON UNIVERSITY · PI Hongyu An, Joseph Edward Ippolito · 2017 to 2026
$2.4M
Ministerstwo Nauki i Szkolnictwa Wyższego (PL) 0054/DIA/2018/47NIBIB NIH HHS T32 EB021955
6 · The paper itself

Abstract

objectivesThe aim of this study was to evaluate impact of 3D printed models on decision-making in context of laparoscopic liver resections (LLR) performed with intraoperative ultrasound (IOUS) guidance.

methodsNineteen patients with liver malignances (74% were colorectal cancer metastases) were prospectively qualified for LLR or radiofrequency ablation in a single center from April 2017 to December 2018. Models were 3DP in all cases based on CT and facilitated optical visualization of tumors' relationships with portal and hepatic veins. Planned surgical extent and its changes were tracked after CT analysis and 3D model inspection, as well as intraoperatively using IOUS.

resultsNineteen patients were included in the analysis. Information from either 3DP or IOUS led to changes in the planned surgical approach in 13/19 (68%) patients. In 5/19 (26%) patients, the 3DP model altered the plan of the surgery preoperatively. In 4/19 (21%) patients, 3DP independently changed the approach. In one patient, IOUS modified the plan post-3DP. In 8/19 (42%) patients, 3DP model did not change the approach, whereas IOUS did. In total, IOUS altered surgical plans in 9 (47%) cases. Most of those changes (6/9; 67%) were caused by detection of additional lesions not visible on CT and 3DP.

conclusions3DP can be helpful in planning complex and major LLRs and led to changes in surgical approach in 26.3% (5/19 patients) in our series. 3DP may serve as a useful adjunct to IOUS. KEY POINTS: • 3D printing can help in decision-making before major and complex resections in patients with liver cancer. • In 5/19 patients, 3D printed model altered surgical plan preoperatively. • Most surgical plan changes based on intraoperative ultrasonography were caused by detection of additional lesions not visible on CT and 3D model.

Indexed as

Printing, Three-DimensionalAdultAgedAged, 80 and overCarcinoma, HepatocellularClinical Decision-MakingColorectal NeoplasmsFemaleHepatectomyHepatic VeinsHumansImaging, Three-DimensionalIntraoperative CareLaparoscopyLiver NeoplasmsMale3D printingDecision-makingHepatectomyLiver cancerUltrasonography

Identifiers

PMID31773294
PMCPMC7033053

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.