Evidence map›Paper›PMID 30788245›Full record

ArticleQuantitative imaging in medicine and surgery2019

Investigating accuracy of 3D printed liver models with computed tomography.

Jan Witowski, Nicole Wake, Anna Grochowska, Zhonghua Sun, Andrzej Budzyński, Piotr Major, Tadeusz Jan Popiela, Michał Pędziwiatr

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2019. 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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

32 citing papers in PubMed, 54 citations in OpenAlex.

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  17. 3D Printing of Physical Organ Models: Recent Developments and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
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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

8 authors at 3 institutions in 3 countries.

Jan Witowski2nd Department of General Surgery, Jagiellonian University Medical College, Kraków, Poland.
Nicole WakeCenter for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, NYU School of Medicine, New York, NY, USA.
Anna GrochowskaChair of Radiology, Jagiellonian University Medical College, Kraków, Poland.
Zhonghua SunDiscipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Australia.
Andrzej Budzyński2nd Department of General Surgery, Jagiellonian University Medical College, Kraków, Poland.
Piotr Major2nd Department of General Surgery, Jagiellonian University Medical College, Kraków, Poland.
Tadeusz Jan PopielaChair of Radiology, Jagiellonian University Medical College, Kraków, Poland.
Michał Pędziwiatr2nd Department of General Surgery, Jagiellonian University Medical College, Kraków, Poland.
Jagiellonian University · PLAdvanced Imaging Research (United States) · USCurtin University · AU

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate the accuracy of three-dimensional (3D) printed liver models developed by a cost-effective approach for establishing validity of using these models in a clinical setting.

methodsFifteen patients undergoing laparoscopic liver resection in a single surgical department were included. Patient-specific, 1-1 scale 3D printed liver models including the liver, tumor, and vasculature were created from contrast-enhanced computed tomography (CT) images using a cost-effective approach. The 3D models were subsequently CT scanned, 3D image post-processing was performed, and these 3D computer models (MCT) were compared to the original 3D models created from the original patient images (PCT). 3D computer models of each type were co-registered using a point set registration method. 3D volume measurements of the liver and lesions were calculated and compared for each set. In addition, Hausdorff distances were calculated and surface quality was compared by generated heatmaps.

resultsThe median liver volume in MCT was 1,281.84 [interquartile range (IQR) =296.86] cm

conclusionsWe have confirmed the accuracy of 3D printed liver models created by using the low-cost method. 3D models are useful tools for pre-operative planning and intra-operative guidance. Future research in this field should continue to move towards clinical trials for assessment of the impact of these models on pre-surgical planning decisions and perioperative outcomes.

Indexed as

computed tomography (CT)liver resectionmodelpreoperative planningThree-dimensional (3D) printing

Identifiers

PMID30788245
PMCPMC6351816
OpenAlexW2897079409

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.