Patient-specific 3D printed model of biliary ducts with congenital cyst.

Biliary disease STL file computed tomography (CT) cyst dimensional measurement three-dimensional (3D) printing

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
Historique:
entrez: 22 2 2019
pubmed: 23 2 2019
medline: 23 2 2019
Statut: ppublish

Résumé

3D printing has shown great promise in medical applications, with increasing reports in liver diseases. However, research on 3D printing in biliary disease is limited with lack of studies on validation of model accuracy. In this study, we presented our experience of creating a realistic 3D printed model of biliary ducts with congenital cyst. Measurements of anatomical landmarks were compared at different stages of model generation to determine dimensional accuracy. Contrast-enhanced computed tomography (CT) images of a patient diagnosed with congenital cyst in the common bile duct with dilated hepatic ducts were used to create the 3D printed model. The 3D printed model was scanned on a 64-slice CT scanner using the similar abdominal CT protocol. Measurements of anatomical structures including common hepatic duct (CHD), right hepatic duct (RHD), left hepatic duct (LHD) and the cyst at left to right and anterior to posterior dimensions were performed and compared between original CT images, the standard tessellation language (STL) image and CT images of the 3D model. The 3D printing model was successfully generated with replication of biliary ducts and cyst. Significant differences in measurements of these landmarks were found between the STL and the original CT images, and the CT images of the 3D printed model and the original CT images (P<0.05). Measurements of the RHD and LHD diameters from the original CT images were significantly larger than those from the CT images of 3D model or STL file (P<0.05), while measurements of the CHD diameters were significantly smaller than those of the other two datasets (P<0.05). No significant differences were reached in measurements of the CHD, RHD, LHD and the biliary cyst between CT images of the 3D printed model and STL file (P=0.08-0.98). This study shows our experience in producing a realistic 3D printed model of biliary ducts and biliary cyst. The model was found to replicate anatomical structures and cyst with high accuracy between the STL file and the CT images of the 3D model. Large discrepancy in dimensional measurements was noted between the original CT and STL file images, and the original CT and CT images of the 3D model, highlighting the necessity of further research with inclusion of more cases of biliary disease to validate accuracy of 3D printed biliary models.

Sections du résumé

BACKGROUND BACKGROUND
3D printing has shown great promise in medical applications, with increasing reports in liver diseases. However, research on 3D printing in biliary disease is limited with lack of studies on validation of model accuracy. In this study, we presented our experience of creating a realistic 3D printed model of biliary ducts with congenital cyst. Measurements of anatomical landmarks were compared at different stages of model generation to determine dimensional accuracy.
METHODS METHODS
Contrast-enhanced computed tomography (CT) images of a patient diagnosed with congenital cyst in the common bile duct with dilated hepatic ducts were used to create the 3D printed model. The 3D printed model was scanned on a 64-slice CT scanner using the similar abdominal CT protocol. Measurements of anatomical structures including common hepatic duct (CHD), right hepatic duct (RHD), left hepatic duct (LHD) and the cyst at left to right and anterior to posterior dimensions were performed and compared between original CT images, the standard tessellation language (STL) image and CT images of the 3D model.
RESULTS RESULTS
The 3D printing model was successfully generated with replication of biliary ducts and cyst. Significant differences in measurements of these landmarks were found between the STL and the original CT images, and the CT images of the 3D printed model and the original CT images (P<0.05). Measurements of the RHD and LHD diameters from the original CT images were significantly larger than those from the CT images of 3D model or STL file (P<0.05), while measurements of the CHD diameters were significantly smaller than those of the other two datasets (P<0.05). No significant differences were reached in measurements of the CHD, RHD, LHD and the biliary cyst between CT images of the 3D printed model and STL file (P=0.08-0.98).
CONCLUSIONS CONCLUSIONS
This study shows our experience in producing a realistic 3D printed model of biliary ducts and biliary cyst. The model was found to replicate anatomical structures and cyst with high accuracy between the STL file and the CT images of the 3D model. Large discrepancy in dimensional measurements was noted between the original CT and STL file images, and the original CT and CT images of the 3D model, highlighting the necessity of further research with inclusion of more cases of biliary disease to validate accuracy of 3D printed biliary models.

Identifiants

pubmed: 30788249
doi: 10.21037/qims.2018.12.01
pii: qims-09-01-86
pmc: PMC6351815
doi:

Types de publication

Journal Article

Langues

eng

Pagination

86-93

Déclaration de conflit d'intérêts

Conflict of Interest: The authors have no conflicts of interest to declare.

Références

Quant Imaging Med Surg. 2017 Dec;7(6):668-677
pubmed: 29312871
Congenit Heart Dis. 2015 Mar-Apr;10(2):185-90
pubmed: 25385353
Quant Imaging Med Surg. 2019 Jan;9(1):53-62
pubmed: 30788246
J Med Radiat Sci. 2017 Mar;64(1):10-17
pubmed: 28134482
J Digit Imaging. 2018 Feb;31(1):133-143
pubmed: 28808803
Anat Sci Educ. 2016 May 6;9(3):213-21
pubmed: 26468636
J Med Radiat Sci. 2018 Sep;65(3):226-236
pubmed: 29453808
World J Pediatr Congenit Heart Surg. 2014 Jul;5(3):421-6
pubmed: 24958045
J Craniomaxillofac Surg. 2013 Oct;41(7):603-9
pubmed: 23333490
J Neurol Surg A Cent Eur Neurosurg. 2014 Jan;75(1):12-5
pubmed: 23315670
Pediatr Surg Int. 2015 Jun;31(6):593-6
pubmed: 25895074
Quant Imaging Med Surg. 2019 Jan;9(1):43-52
pubmed: 30788245
Science. 2015 Mar 20;347(6228):1349-52
pubmed: 25780246
J Thorac Imaging. 2016 Sep;31(5):253-72
pubmed: 27149367
Ann Pediatr Cardiol. 2017 May-Aug;10(2):117-125
pubmed: 28566818
Eur J Cardiothorac Surg. 2017 Dec 1;52(6):1139-1148
pubmed: 28977423
Liver Transpl. 2015 Feb;21(2):266-8
pubmed: 25302632
Hepatogastroenterology. 2014 Nov-Dec;61(136):2315-6
pubmed: 25699373
J Digit Imaging. 2018 Oct;31(5):692-701
pubmed: 29633052
Acad Radiol. 2016 Sep;23(9):1183-9
pubmed: 27283072
Quant Imaging Med Surg. 2018 Apr;8(3):311-325
pubmed: 29774184
Gastrointest Endosc. 2015 Feb;81(2):440-6
pubmed: 25475900
PLoS One. 2018 Mar 21;13(3):e0194333
pubmed: 29561912
Liver Transpl. 2016 Nov;22(11):1610-1614
pubmed: 27434755
Liver Transpl. 2013 Dec;19(12):1304-10
pubmed: 23959637

Auteurs

Amee Allan (A)

Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.

Catherine Kealley (C)

Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.

Andrew Squelch (A)

Discipline of Exploration Geophysics, Western Australian School of Mines, Minerals, Energy and Chemical Engineering, Curtin University, Perth, Western Australia, Australia.
Computational Image Analysis Group, Curtin Institute for Computation, Curtin University, Perth, Western Australia, Australia.

Yin How Wong (YH)

School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Malaysia.

Chai Hong Yeong (CH)

School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Malaysia.

Zhonghua Sun (Z)

Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.

Classifications MeSH