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Current Medical Imaging

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ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

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Mini-Review Article

Use of Three-dimensional Printing in the Development of Optimal Cardiac CT Scanning Protocols

Author(s): Zhonghua Sun*

Volume 16, Issue 8, 2020

Page: [967 - 977] Pages: 11

DOI: 10.2174/1573405616666200124124140

Price: $65

Abstract

Three-dimensional (3D) printing is increasingly used in medical applications with most of the studies focusing on its applications in medical education and training, pre-surgical planning and simulation, and doctor-patient communication. An emerging area of utilising 3D printed models lies in the development of cardiac computed tomography (CT) protocols for visualisation and detection of cardiovascular disease. Specifically, 3D printed heart and cardiovascular models have shown potential value in the evaluation of coronary plaques and coronary stents, aortic diseases and detection of pulmonary embolism. This review article provides an overview of the clinical value of 3D printed models in these areas with regard to the development of optimal CT scanning protocols for both diagnostic evaluation of cardiovascular disease and reduction of radiation dose. The expected outcomes are to encourage further research towards this direction.

Keywords: 3D printing, coronary artery disease, heart disease, plaque, stent, visualisation.

Graphical Abstract

[1]
Sun Z. Insights into 3D printing in medical applications. Quant Imaging Med Surg 2019; 9(1): 1-5.
[http://dx.doi.org/10.21037/qims.2019.01.03 ] [PMID: 30788241]
[2]
Witowski J, Darocha S, Kownacki Ł, et al. Augmented reality and three-dimensional printing in percutaneous interventions on pulmonary arteries. Quant Imaging Med Surg 2019; 9(1): 23-9.
[http://dx.doi.org/10.21037/qims.2018.09.08 ] [PMID: 30788243]
[3]
Allan A, Kealley C, Squelch A, Wong YH, Yeong CH, Sun Z. Patient-specific 3D printed model of biliary ducts with congenital cyst. Quant Imaging Med Surg 2019; 9(1): 86-93.
[http://dx.doi.org/10.21037/qims.2018.12.01 ] [PMID: 30788249]
[4]
Maier J, Weiherer M, Huber M, Palm C. Imitating human soft tissue on basis of a dual-material 3D print using a support-filled metamaterial to provide bimanual haptic for a hand surgery training system. Quant Imaging Med Surg 2019; 9(1): 30-42.
[http://dx.doi.org/10.21037/qims.2018.09.17 ] [PMID: 30788244]
[5]
He Y, Liu Y, Dyer BA, et al. 3D-printed breast phantom for multi purpose and multi-modality imaging. Quant Imaging Med Surg 2019; 9(1): 63-74.
[http://dx.doi.org/10.21037/qims.2019.01.05 ] [PMID: 30788247]
[6]
Sun Z, Lau I, Wong YH, Yeong CH. Personalised three-dimensional printed models in congenital heart disease. J Clin Med 2019; 8(4): 522.
[http://dx.doi.org/10.3390/jcm8040522 ] [PMID: 30995803]
[7]
Valverde I, Gomez-Ciriza G, Hussain T, et al. Three-dimensional printed models for surgical planning of complex congenital heart defects: An international multicentre study. Eur J Cardiothorac Surg 2017; 52(6): 1139-48.
[http://dx.doi.org/10.1093/ejcts/ezx208 ] [PMID: 28977423]
[8]
Kiraly L, Kiraly B, Szigeti K, Tamas CZ, Daranyi S. Virtual museum of congenital heart defects: digitization and establishment of a database for cardiac specimens. Quant Imaging Med Surg 2019; 9(1): 115-26.
[http://dx.doi.org/10.21037/qims.2018.12.05 ] [PMID: 30788253]
[9]
Lau I, Wong YH, Yeong CH, et al. Quantitative and qualitative comparison of low- and high-cost 3D-printed heart models. Quant Imaging Med Surg 2019; 9(1): 107-14.
[http://dx.doi.org/10.21037/qims.2019.01.02 ] [PMID: 30788252]
[10]
Costello JP, Olivieri LJ, Krieger A, et al. Utilizing three-dimensional printing technology to assess the feasibility of high-fidelity synthetic ventricular septal defect models for simulation in medical education. World J Pediatr Congenit Heart Surg 2014; 5(3): 421-6.
[http://dx.doi.org/10.1177/2150135114528721 ] [PMID: 24958045]
[11]
Costello JP, Olivieri LJ, Su L, et al. Incorporating three dimensional printing into a simulation-based congenital heart disease and critical care training curriculum for resident physicians. Congenit Heart Dis 2015; 10(2): 185-90.
[http://dx.doi.org/10.1111/chd.12238 ] [PMID: 25385353]
[12]
Jones TW, Seckeler MD. Use of 3D models of vascular rings and slings to improve resident education. Congenit Heart Dis 2017; 12(5): 578-82.
[http://dx.doi.org/10.1111/chd.12486 ] [PMID: 28608434]
[13]
Lim KH, Loo ZY, Goldie SJ, Adams JW, McMenamin PG. Use of 3D printed models in medical education: A randomized control trial comparing 3D prints versus cadaveric materials for learning external cardiac anatomy. Anat Sci Educ 2016; 9(3): 213-21.
[http://dx.doi.org/10.1002/ase.1573 ] [PMID: 26468636]
[14]
Loke YH, Harahsheh AS, Krieger A, Olivieri LJ. Usage of 3D models of tetralogy of Fallot for medical education: impact on learning congenital heart disease. BMC Med Educ 2017; 17(1): 54.
[http://dx.doi.org/10.1186/s12909-017-0889-0 ] [PMID: 28284205]
[15]
Perica E, Sun Z. Patient-specific three-dimensional printing for pre surgical planning in hepatocellular carcinoma treatment. Quant Imaging Med Surg 2017; 7(6): 668-77.
[http://dx.doi.org/10.21037/qims.2017.11.02 ] [PMID: 29312871]
[16]
Lau IWW, Liu D, Xu L, Fan Z, Sun Z. Clinical value of patient specific three-dimensional printing of congenital heart disease: Quantitative and qualitative assessments. PLoS One 2018; 13(3): e0194333.
[http://dx.doi.org/10.1371/journal.pone.0194333 ] [PMID: 29561912]
[17]
Witowski J, Wake N, Grochowska A, et al. Investigating accuracy of 3D printed liver models with computed tomography. Quant Imaging Med Surg 2019; 9(1): 43-52.
[http://dx.doi.org/10.21037/qims.2018.09.16 ] [PMID: 30788245]
[18]
Perica ER, Sun Z. A systematic review of three-dimensional printing in liver disease. J Digit Imaging 2018; 31(5): 692-701.
[http://dx.doi.org/10.1007/s10278-018-0067-x ] [PMID: 29633052]
[19]
Zanetti EM, Aldieri A, Terzini M, Cali M, Franceschini G, Bignardi C. Additive manufacturing custom load-bearing implantable devices. AMJ 2017; 10: 694-70.
[http://dx.doi.org/10.21767/AMJ.2017.3093]
[20]
Giannopoulos AA, Steigner ML, George E, et al. Cardiothoracic applications of 3-dimensional printing. J Thorac Imaging 2016; 31(5): 253-72.
[http://dx.doi.org/10.1097/RTI.0000000000000217 ] [PMID: 27149367]
[21]
Lau I, Squelch A, Wan YL, Wong A, Ducke W, Sun Z. Patient specific 3D printed model in delineating brain glioma and surrounding structures in a pediatric patient. Digit Media 2017; 3: 86-92.
[http://dx.doi.org/10.4103/digm.digm_25_17]
[22]
Al Jabbari O, Abu Saleh WK, Patel AP, Igo SR, Reardon MJ. Use of three-dimensional models to assist in the resection of malignant cardiac tumors. J Card Surg 2016; 31(9): 581-3.
[http://dx.doi.org/10.1111/jocs.12812 ] [PMID: 27455392]
[23]
Thawani JP, Singh N, Pisapia JM, et al. Three-dimensional printed modelling of diffuse low-grade gliomas and associated white matter tract anatomy. Neurosurgery 2017; 80(4): 635-45.
[http://dx.doi.org/10.1093/neuros/nyx009 ] [PMID: 28362934]
[24]
Sun Z. 3D printed coronary models offer new opportunities for developing optimal coronary CT angiography protocols in imaging coronary stents. Quant Imaging Med Surg 2019; 9(8): 1350-5.
[http://dx.doi.org/10.21037/qims.2019.06.17 ] [PMID: 31559164]
[25]
Lee M, Moharem-Elgamal S, Beckingham R, et al. Evaluating 3D-printed models of coronary anomalies: A survey among clinicians and researchers at a university hospital in the UK. BMJ Open 2019; 9(3): e025227.
[http://dx.doi.org/10.1136/bmjopen-2018-025227 ] [PMID: 30852545]
[26]
Misra A, Walters HL, Kobayashi D. Utilisation of a three-dimensional printed model for the management of coronary-pulmonary artery fistula from left main coronary artery. Cardiol Young 2019; 29(3): 431-4.
[http://dx.doi.org/10.1017/S1047951118002317 ] [PMID: 30764888]
[27]
Oliveira-Santos M, Oliveira Santos E, Marinho AV, Leite L, Guardado J, Matos V, et al. Patient-specific 3D printing simulation to guide complex coronary intervention. Rev Port Cardiol 2018; 37(6): 541.e1-4.
[http://dx.doi.org/10.1016/j.repc.2018.02.007 ] [PMID: 29748151]
[28]
Aroney N, Lau K, Daniele L, Burstow D, Walters D. Three-dimensional printing: to guide management of a right coronary artery to left ventricular fistula. Eur Heart J Cardiovasc Imaging 2018; 19(3): 268.
[http://dx.doi.org/10.1093/ehjci/jex317 ] [PMID: 29228326]
[29]
Velasco Forte MN, Byrne N, Valverde Perez I, et al. 3D printed models in patients with coronary artery fistulae: Anatomical assessment and interventional planning. EuroIntervention 2017; 13(9): e1080-3.
[http://dx.doi.org/10.4244/EIJ-D-16-00897 ] [PMID: 28555593]
[30]
Modi BN, Ryan M, Chattersingh A, et al. Optimal application of fractional flow reserve to assess serial coronary artery disease: A 3D-printed experimental study with clinical validation. J Am Heart Assoc 2018; 7(20): e010279.
[http://dx.doi.org/10.1161/JAHA.118.010279 ] [PMID: 30371265]
[31]
Sun Z, Aldosari S. Three-dimensional printing in medicine: Opportunities for development of optimal CT scanning protocols. AMJ 2018; 11: 529-32.
[http://dx.doi.org/10.21767/AMJ.2018.3533]
[32]
Abdullah KA, McEntee MF, Reed W, Kench PL. Development of an organ-specific insert phantom generated using a 3D printer for investigations of cardiac computed tomography protocols. J Med Radiat Sci 2018; 65(3): 175-83.
[http://dx.doi.org/10.1002/jmrs.279 ] [PMID: 29707915]
[33]
Sun Z, Ng CKC, Squelch A. Synchrotron radiation computed tomography assessment of calcified plaques and coronary stenosis with different slice thicknesses and beam energies on 3D printed coronary models. Quant Imaging Med Surg 2019; 9(1): 6-22.
[http://dx.doi.org/10.21037/qims.2018.09.11 ] [PMID: 30788242]
[34]
Sun Z. Personalized three-dimensional printed coronary artery models for accurate assessment of coronary stenosis using high resolution imaging modality. AMJ 2019; 12: 105-9.
[35]
Pontone G, Bertella E, Mushtaq S, et al. Coronary artery disease: diagnostic accuracy of CT coronary angiography--a comparison of high and standard spatial resolution scanning. Radiology 2014; 271(3): 688-94.
[http://dx.doi.org/10.1148/radiol.13130909 ] [PMID: 24520943]
[36]
Andreini D, Pontone G, Mushtaq S, et al. Atrial fibrillation: Diagnostic accuracy of coronary CT angiography performed with a whole-heart 230-μm spatial resolution CT Scanner. Radiology 2017; 284(3): 676-84.
[http://dx.doi.org/10.1148/radiol.2017161779 ] [PMID: 28445682]
[37]
Motoyama S, Ito H, Sarai M, et al. Ultra-high-resolution computed tomography angiography for assessment of coronary artery stenosis. Circ J 2018; 82(7): 1844-51.
[http://dx.doi.org/10.1253/circj.CJ-17-1281 ] [PMID: 29743388]
[38]
Sun Z, Ng C. High calcium scores in coronary CT angiography: effects of image post-processing on visualization and measurement of coronary lumen diameter. J Med Imaging Health Inform 2015; 5: 110-6.
[http://dx.doi.org/10.1166/jmihi.2015.1366]
[39]
Sun Z, Ng CKC, Xu L, Fan Z, Lei J. Coronary CT angiography in heavily calcified coronary arteries: Improvement of coronary lumen visualization and coronary stenosis assessment with image postprocessing methods. Medicine (Baltimore) 2015; 94(48): e2148.
[http://dx.doi.org/10.1097/MD.0000000000002148 ] [PMID: 26632895]
[40]
Takx RAP, Willemink MJ, Nathoe HM, et al. The effect of iterative reconstruction on quantitative computed tomography assessment of coronary plaque composition. Int J Cardiovasc Imaging 2014; 30(1): 155-63.
[http://dx.doi.org/10.1007/s10554-013-0293-8 ] [PMID: 24046026]
[41]
Tanaka R, Yoshioka K, Muranaka K, et al. Improved evaluation of calcified segments on coronary CT angiography: A feasibility study of coronary calcium subtraction. Int J Cardiovasc Imaging 2013; 29(Suppl. 2): 75-81.
[http://dx.doi.org/10.1007/s10554-013-0316-5 ] [PMID: 24158235]
[42]
Li P, Xu L, Yang L, et al. Blooming artifact reduction of coronary artery calcification by a novel de-blooming algorithm in coronary CT angiography: Initial study. Sci Rep 2018; 8: 6945.
[http://dx.doi.org/10.1038/s41598-018-25352-5 ] [PMID: 29720611]
[43]
Hickethier T, Wenning J, Doerner J, Maintz D, Michels G, Bunck AC. Fourth update on CT angiography of coronary stents: in vitro evaluation of 24 novel stent types. Acta Radiol 2018; 59(9): 1060-5.
[http://dx.doi.org/10.1177/0284185117744227 ] [PMID: 29181989]
[44]
Liu WJ, Li GZ, Liu HF, Lei JQ. Diagnostic accuracy of dual source computed tomography angiography for the detection of coronary in-stent restenosis: A systematic review and meta analysis. Echocardiography 2018; 35(4): 541-50.
[http://dx.doi.org/10.1111/echo.13863 ] [PMID: 29569751]
[45]
Liu HF, Wang M, Xu YS, Shrestha MK, Lu XR, Lei JQ. Diagnostic accuracy of dual-source and 320-row computed tomography angiography in detecting coronary in-stent restenosis: A systematic review and meta-analysis. Acta Radiol 2019; 60(2): 149-59.
[http://dx.doi.org/10.1177/0284185118774956 ] [PMID: 29758995]
[46]
Sun Z, Almutairi AM. Diagnostic accuracy of 64 multislice CT angiography in the assessment of coronary in-stent restenosis: a meta-analysis. Eur J Radiol 2010; 73(2): 266-73.
[http://dx.doi.org/10.1016/j.ejrad.2008.10.025 ] [PMID: 19056191]
[47]
Eckert J, Renczes-Janetzko P, Schmidt M, Magedanz A, Voigtländer T, Schmermund A. Coronary CT angiography (CCTA) using third-generation dual-source CT for ruling out in-stent restenosis. Clin Res Cardiol 2019; 108(4): 402-10.
[http://dx.doi.org/10.1007/s00392-018-1369-1 ] [PMID: 30187179]
[48]
Gassenmaier T, Petri N, Allmendinger T, Flohr T, Maintz D, Voelker W, et al. Next generation coronary CT angiography: In vitro evaluation of 27 coronary stents. Eur Radiol 2014; 24(11): 2953-61.
[http://dx.doi.org/10.1007/s00330-014-3323-6 ] [PMID: 25038859]
[49]
Tatsugami F, Higaki T, Sakane H, Nakamura Y, Iida M, Baba Y, et al. Diagnostic accuracy of in-stent restenosis using model-based iterative reconstruction at coronary CT angiography: Initial experience. Br J Radiol 2018; 91(1082): 20170598.
[PMID: 29022741]
[50]
Ulrich A, Burg MC, Raupach R, Bunck A, Schuelke C, Maintz D, et al. Coronary stent imaging with dual-source CT: Assessment of lumen visibility using different convolution kernels and postprocessing filters. Acta Radiol 2015; 56(1): 42-50.
[http://dx.doi.org/10.1177/0284185113517229 ] [PMID: 24399513]
[51]
Sun Z, Jansen S. Personalized 3D printed coronary models in coronary stenting. Quant Imaging Med Surg 2019; 9(8): 1356-67.
[http://dx.doi.org/10.21037/qims.2019.06.21 ] [PMID: 31559165]
[52]
Nienaber CA, Kische S, Rousseau H, et al. INSTEAD-XL trial. Endovascular repair of type B aortic dissection: Long-term results of the randomized investigation of stent grafts in aortic dissection trial. Circ Cardiovasc Interv 2013; 6(4): 407-16.
[http://dx.doi.org/10.1161/CIRCINTERVENTIONS.113.000463 ] [PMID: 23922146]
[53]
Ziza V, Canaud L, Molinari N, Branchereau P, Marty-Ané C, Alric P. Thoracic endovascular aortic repair: A single center’s 15-year experience. J Thorac Cardiovasc Surg 2016; 151(6): 1595-1603.e7.
[http://dx.doi.org/10.1016/j.jtcvs.2015.12.030 ] [PMID: 26832207]
[54]
Hossien A, Gelsomino S, Maessen J, Autschbach R. The interactive use of multi-dimensional modeling and 3D printing in preplanning of type A aortic dissection. J Card Surg 2016; 31(7): 441-5.
[http://dx.doi.org/10.1111/jocs.12772 ] [PMID: 27251467]
[55]
Tam MD, Latham T, Brown JR, Jakeways M. Use of a 3D printed hollow aortic model to assist EVAR planning in a case with complex neck anatomy: potential of 3D printing to improve patient outcome. J Endovasc Ther 2014; 21(5): 760-2.
[http://dx.doi.org/10.1583/14-4810L.1 ] [PMID: 25290807]
[56]
Biglino G, Verschueren P, Zegels R, Taylor AM, Schievano S. Rapid prototyping compliant arterial phantoms for in-vitro studies and device testing. J Cardiovasc Magn Reson 2013; 15: 2.
[http://dx.doi.org/10.1186/1532-429X-15-2 ] [PMID: 23324211]
[57]
Valverde I, Gomez G, Coserria JF, et al. 3D printed models for planning endovascular stenting in transverse aortic arch hypoplasia. Catheter Cardiovasc Interv 2015; 85(6): 1006-12.
[http://dx.doi.org/10.1002/ccd.25810 ] [PMID: 25557983]
[58]
Sodian R, Schmauss D, Schmitz C, Bigdeli A, Haeberle S, Schmoeckel M, et al. 3-dimensional printing of models to create custom made devices for coil embolization of an anastomotic leak after aortic arch replacement. Ann Thorac Surg 2009; 88(3): 974-8.
[http://dx.doi.org/10.1016/j.athoracsur.2009.03.014 ] [PMID: 19699931]
[59]
Bangeas P, Voulalas G, Ktenidis K. Rapid prototyping in aortic surgery. Interact Cardiovasc Thorac Surg 2016; 22(4): 513-4.
[http://dx.doi.org/10.1093/icvts/ivv395 ] [PMID: 26803324]
[60]
Gomes EN, Dias RR, Rocha BA, et al. Use of 3D printing in preoperative planning and training for aortic endovascular repair and aortic valve disease. Rev Bras Cir Cardiovasc 2018; 33(5): 490-5.
[http://dx.doi.org/10.21470/1678-9741-2018-0101 ] [PMID: 30517258]
[61]
Ho D, Squelch A, Sun Z. Modelling of aortic aneurysm and aortic dissection through 3D printing. J Med Radiat Sci 2017; 64(1): 10-7.
[http://dx.doi.org/10.1002/jmrs.212 ] [PMID: 28134482]
[62]
Sun Z, Squelch A. Patient-specific 3D printed models of aortic aneurysm and aortic dissection. J Med Imaging Health Inform 2017; 7: 886-9.
[http://dx.doi.org/10.1166/jmihi.2017.2093]
[63]
Spinelli D, Marconi S, Caruso R, et al. 3D printing of aortic models as a teaching tool for improving understanding of aortic disease. J Cardiovasc Surg (Torino) 2019; 60(5): 582-8. Epub ahead of print
[http://dx.doi.org/10.23736/S0021-9509.19.10841-5 ] [PMID: 31256581]
[64]
Finotello A, Marconi S, Pane B, et al. Twelve-year follow-up post thoracic endovascular repair in type B aortic dissection shown by three-dimensional printing. Ann Vasc Surg 2019; 55: 309.e13-9.
[http://dx.doi.org/10.1016/j.avsg.2018.07.057 ] [PMID: 30287292]
[65]
Bortman J, Mahmood F, Schermerhorn M, et al. Use of 3-dimensional printing to create patient-specific abdominal aortic aneurysm models for preoperative planning. J Cardiothorac Vasc Anesth 2019; 33(5): 1442-6.
[http://dx.doi.org/10.1053/j.jvca.2018.08.011 ] [PMID: 30217582]
[66]
Mitsuoka H, Terai Y, Miyano Y, et al. Preoperative planning for physician-modified endografts using a three-dimensional printer. Ann Vasc Dis 2019; 12(3): 334-9.
[http://dx.doi.org/10.3400/avd.ra.19-00062 ] [PMID: 31636743]
[67]
Rynio P, Kazimierczak A, Jedrzejczak T, Gutowski P. A 3-dimensional printed aortic arch template to facilitate the creation of physician-modified stent-grafts. J Endovasc Ther 2018; 25(5): 554-8.
[http://dx.doi.org/10.1177/1526602818792266 ] [PMID: 30056789]
[68]
Rynio P, Kazimierczak A, Jedrzejczak T, Gutowski P. A 3- dimensional printed aortic arch template to facilitate decisionmaking regarding the use of an externalized transapical wire during thoracic endovascular aneurysm repair. Ann Vasc Surg 2019. 54:336e5-336e8
[69]
Kärkkäinen JM, Sandri G, Tenorio ER, et al. Simulation of endovascular aortic repair using 3D printed abdominal aortic aneurysm model and fluid pump. Cardiovasc Intervent Radiol 2019; 42(11): 1627-34.
[http://dx.doi.org/10.1007/s00270-019-02257-y ] [PMID: 31197454]
[70]
Burris NS, Hoff BA, Ross BD. Vascular Deformation Mapping (VDM) of thoracic aortic aneurysm: An application for color 3D printing in aortic disease. Ann Transl Med 2018; 6(Suppl. 2): S123.
[http://dx.doi.org/10.21037/atm.2018.12.16 ] [PMID: 30740444]
[71]
Burris NS, Hoff BA, Kazerooni EA, Ross BD. Vascular deformation mapping (VNM) of thoracic aortic enlargement in aneurysmal disease and dissection. Tomography 2017; 3(3): 163-73.
[http://dx.doi.org/10.18383/j.tom.2017.00015 ] [PMID: 29124128]
[72]
Burris NS, Hoff BA, Patel HJ, Kazerooni EA, Ross BD. Three-dimensional growth analysis of thoracic aortic aneurysm with vascular deformation analysis. Circ Cardiovasc Imaging 2018; 11(8): e008045.
[http://dx.doi.org/10.1161/CIRCIMAGING.118.008045 ] [PMID: 30354496]
[73]
Tam CHA, Chan YC, Law Y, Cheng SWK. The role of three-dimensional printing in contemporary vascular and endovascular surgery: A systematic review. Ann Vasc Surg 2018; 53: 243-54.
[http://dx.doi.org/10.1016/j.avsg.2018.04.038 ] [PMID: 30053547]
[74]
Estrada-Y-Martin RM. Oldham SA. CTPA as the gold standard for the diagnosis of pulmonary embolism. Int J CARS 2011; 6(4): 557-63.
[http://dx.doi.org/10.1007/s11548-010-0526-4]
[75]
Mayo J, Thakur Y. Pulmonary CT angiography as first-line imaging for PE: image quality and radiation dose considerations. AJR Am J Roentgenol 2013; 200(3): 522-8.
[http://dx.doi.org/10.2214/AJR.12.9928 ] [PMID: 23436840]
[76]
Anwar S, Rockefeller T, Raptis DA, Woodard PK, Eghtesady P. 3D printing provides a precise approach in the treatment of tetralogy of Fallot, pulmonary atresia with major aortopulmonary collateral arteries. Curr Treat Options Cardiovasc Med 2018; 20(1): 5.
[http://dx.doi.org/10.1007/s11936-018-0594-2 ] [PMID: 29397465]
[77]
Biglino G, Koniordou D, Gasparini M, et al. Piloting the use of patient-specific cardiac models as a novel tool to facilitate communication during clinical consultations. Pediatr Cardiol 2017; 38(4): 813-8.
[http://dx.doi.org/10.1007/s00246-017-1586-9 ] [PMID: 28214968]
[78]
Riesenkampff E, Rietdorf U, Wolf I, et al. The practical clinical value of three-dimensional models of complex congenitally malformed hearts. J Thorac Cardiovasc Surg 2009; 138(3): 571-80.
[http://dx.doi.org/10.1016/j.jtcvs.2009.03.011 ] [PMID: 19698837]
[79]
Schmauss D, Haeberle S, Hagl C, Sodian R. Three-dimensional printing in cardiac surgery and interventional cardiology: a single-centre experience. Eur J Cardiothorac Surg 2015; 47(6): 1044-52.
[http://dx.doi.org/10.1093/ejcts/ezu310 ] [PMID: 25161184]
[80]
Biglino G, Capelli C, Wray J, et al. 3D-manufactured patient-specific models of congenital heart defects for communication in clinical practice: feasibility and acceptability. BMJ Open 2015; 5(4): e007165.
[http://dx.doi.org/10.1136/bmjopen-2014-007165 ] [PMID: 25933810]
[81]
Biglino G, Capelli C, Leaver LK, Schievano S, Taylor AM, Wray J. Involving patients, families and medical staff in the evaluation of 3D printing models of congenital heart disease. Commun Med 2015; 12(2-3): 157-69.
[http://dx.doi.org/10.1558/cam.28455 ] [PMID: 29048144]
[82]
Aldosari S, Squelch A, Sun Z. Patient-specific three-dimensional printed pulmonary artery model: A preliminary study. Digit Media 2017; 3: 170-7.
[http://dx.doi.org/10.4103/digm.digm_42_17]
[83]
Aldosari S, Jansen S, Sun Z. Optimization of computed tomography pulmonary angiography protocols using 3D printed model with simulation of pulmonary embolism. Quant Imaging Med Surg 2019; 9(1): 53-62.
[http://dx.doi.org/10.21037/qims.2018.09.15 ] [PMID: 30788246]
[84]
Aldosari S, Jansen S, Sun Z. Patient-specific 3D printed pulmonary artery model with simulation of peripheral pulmonary embolism for developing optimal computed tomography pulmonary angiography protocols. Quant Imaging Med Surg 2019; 9(1): 75-85.
[http://dx.doi.org/10.21037/qims.2018.10.13 ] [PMID: 30788248]
[85]
Lu GM, Luo S, Meinel FG, et al. High-pitch computed tomography pulmonary angiography with iterative reconstruction at 80 kVp and 20 mL contrast agent volume. Eur Radiol 2014; 24(12): 3260-8.
[http://dx.doi.org/10.1007/s00330-014-3365-9 ] [PMID: 25100336]
[86]
Boos J, Kröpil P, Lanzman RS, et al. CT pulmonary angiography: simultaneous low-pitch dual-source acquisition mode with 70 kVp and 40 ml of contrast medium and comparison with high-pitch spiral dual-source acquisition with automated tube potential selection. Br J Radiol 2016; 89(1062): 20151059.
[http://dx.doi.org/10.1259/bjr.20151059 ] [PMID: 27007972]
[87]
Gill MK, Vijayananthan A, Kumar G, Jayarani K, Ng KH, Sun Z. Use of 100 kV versus 120 kV in computed tomography pulmonary angiography in the detection of pulmonary embolism: effect on radiation dose and image quality. Quant Imaging Med Surg 2015; 5(4): 524-33.
[PMID: 26435916]
[88]
Faggioni L, Neri E, Sbragia P, et al. 80-kV pulmonary CT angiography with 40 mL of iodinated contrast material in lean patients: comparison of vascular enhancement with iodixanol (320 mg I/mL)and iomeprol (400 mg I/mL). AJR Am J Roentgenol 2012; 199(6): 1220-5.
[http://dx.doi.org/10.2214/AJR.11.8122 ] [PMID: 23169711]
[89]
Laqmani A, Kurfürst M, Butscheidt S, et al. CT pulmonary angiography at reduced radiation exposure and contrast material volume using iterative model reconstruction and iDose 4 technique in comparison to FBP. PLoS One 2016; 11(9): e0162429.
[http://dx.doi.org/10.1371/journal.pone.0162429 ] [PMID: 27611448]
[90]
Laqmani A, Regier M, Veldhoen S, et al. Improved image quality and low radiation dose with hybrid iterative reconstruction with 80 kV CT pulmonary angiography. Eur J Radiol 2014; 83(10): 1962-9.
[http://dx.doi.org/10.1016/j.ejrad.2014.06.016 ] [PMID: 25084687 ]

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