Investigating accuracy of 3D printed liver models with computed tomography

2019
journal article
article
dc.abstract.enBackground: The 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. Methods: Fifteen 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. Results: The median liver volume in MCT was 1,281.84 [interquartile range (IQR) =296.86] cm3, and 1,448.03 (IQR =413.23) cm3 in PCT. Analysis of differences between surfaces showed that the median value of mean Hausdorff distances for liver parenchyma was 1.92 mm. Bland-Altman plots revealed no significant bias in liver volume and diameters of hepatic veins and tumor location. Median errors of all measured vessel diameters were smaller than CT slice height. There was a slight trend towards undersizing anatomical structures, although those errors are most likely due to source imaging. Conclusions: We 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.pl
dc.affiliationWydział Lekarski : Zakład Radiologiipl
dc.affiliationWydział Lekarski : Klinika Chirurgii Endoskopowej, Metabolicznej oraz Nowotworów Tkanek Miękkichpl
dc.cm.date2020-01-07
dc.cm.id91453
dc.contributor.authorWitowski, Janpl
dc.contributor.authorWake, Nicolepl
dc.contributor.authorGrochowska, Anna - 174521 pl
dc.contributor.authorSun, Zhonghuapl
dc.contributor.authorBudzyński, Andrzej - 128910 pl
dc.contributor.authorMajor, Piotr - 141443 pl
dc.contributor.authorPopiela, Tadeusz - 133200 pl
dc.contributor.authorPędziwiatr, Michał - 140831 pl
dc.date.accessioned2020-01-17T10:01:39Z
dc.date.available2020-01-17T10:01:39Z
dc.date.issued2019pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.number1pl
dc.description.physical43-52pl
dc.description.points70pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume9pl
dc.identifier.doi10.21037/qims.2018.09.16pl
dc.identifier.eissn2223-4306
dc.identifier.issn2223-4292pl
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/144381
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subject.enthree-dimensional (3D) printingpl
dc.subject.encomputed tomography (CT)pl
dc.subject.enmodelpl
dc.subject.enpreoperative planningpl
dc.subject.enliver resectionpl
dc.subtypeArticlepl
dc.titleInvestigating accuracy of 3D printed liver models with computed tomographypl
dc.title.journalQuantitative Imaging in Medicine and Surgerypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
Background: The 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. Methods: Fifteen 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. Results: The median liver volume in MCT was 1,281.84 [interquartile range (IQR) =296.86] cm3, and 1,448.03 (IQR =413.23) cm3 in PCT. Analysis of differences between surfaces showed that the median value of mean Hausdorff distances for liver parenchyma was 1.92 mm. Bland-Altman plots revealed no significant bias in liver volume and diameters of hepatic veins and tumor location. Median errors of all measured vessel diameters were smaller than CT slice height. There was a slight trend towards undersizing anatomical structures, although those errors are most likely due to source imaging. Conclusions: We 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.
dc.affiliationpl
Wydział Lekarski : Zakład Radiologii
dc.affiliationpl
Wydział Lekarski : Klinika Chirurgii Endoskopowej, Metabolicznej oraz Nowotworów Tkanek Miękkich
dc.cm.date
2020-01-07
dc.cm.id
91453
dc.contributor.authorpl
Witowski, Jan
dc.contributor.authorpl
Wake, Nicole
dc.contributor.authorpl
Grochowska, Anna - 174521
dc.contributor.authorpl
Sun, Zhonghua
dc.contributor.authorpl
Budzyński, Andrzej - 128910
dc.contributor.authorpl
Major, Piotr - 141443
dc.contributor.authorpl
Popiela, Tadeusz - 133200
dc.contributor.authorpl
Pędziwiatr, Michał - 140831
dc.date.accessioned
2020-01-17T10:01:39Z
dc.date.available
2020-01-17T10:01:39Z
dc.date.issuedpl
2019
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.numberpl
1
dc.description.physicalpl
43-52
dc.description.pointspl
70
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
9
dc.identifier.doipl
10.21037/qims.2018.09.16
dc.identifier.eissn
2223-4306
dc.identifier.issnpl
2223-4292
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/144381
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.enpl
three-dimensional (3D) printing
dc.subject.enpl
computed tomography (CT)
dc.subject.enpl
model
dc.subject.enpl
preoperative planning
dc.subject.enpl
liver resection
dc.subtypepl
Article
dc.titlepl
Investigating accuracy of 3D printed liver models with computed tomography
dc.title.journalpl
Quantitative Imaging in Medicine and Surgery
dc.typepl
JournalArticle
dspace.entity.type
Publication

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