Investigating accuracy of 3D printed liver models with computed tomography.
Three-dimensional (3D) printing
computed tomography (CT)
liver resection
model
preoperative planning
Journal
Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
entrez:
22
2
2019
pubmed:
23
2
2019
medline:
23
2
2019
Statut:
ppublish
Résumé
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. 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. The median liver volume in MCT was 1,281.84 [interquartile range (IQR) =296.86] cm 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.
Sections du résumé
BACKGROUND
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
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
RESULTS
The median liver volume in MCT was 1,281.84 [interquartile range (IQR) =296.86] cm
CONCLUSIONS
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.
Identifiants
pubmed: 30788245
doi: 10.21037/qims.2018.09.16
pii: qims-09-01-43
pmc: PMC6351816
doi:
Types de publication
Journal Article
Langues
eng
Pagination
43-52Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB017183
Pays : United States
Déclaration de conflit d'intérêts
Conflicts of Interest: The authors have no conflicts of interest to declare.
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