Publication:
Single-center experience with routine clinical use of 3D technologies in surgical planning for pediatric patients with complex congenital heart disease

dc.contributor.coauthorYıldız, Okan
dc.contributor.coauthorKöse, Banu
dc.contributor.coauthorGüzeltaş, Alper
dc.contributor.coauthorHaydin, Sertaç
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.kuauthorPekkan, Kerem
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Mechanical Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid161845
dc.date.accessioned2024-11-09T12:32:19Z
dc.date.issued2021
dc.description.abstractPurpose: this study was planned to assess the application of three-dimensional (3D) cardiac modeling in preoperative evaluation for complex congenital heart surgeries. Methods: from July 2015 to September 2019, 18 children diagnosed with complex congenital heart diseases (CHDs) were enrolled in this study (double outlet right ventricle in nine patients, complex types of transposition of the great arteries in six patients, congenitally corrected transposition of the great arteries in two patients, and univentricular heart in one patient). The patients' age ranged from 7 months to 19 years (median age, 14 months). Before the operation, 3D patient-specific cardiac models were created based on computed tomography (CT) data. Using each patient's data, a virtual computer model (3D mesh) and stereolithographic (SLA) file that would be printed as a 3D model were generated. These 3D cardiac models were used to gather additional data about cardiac anatomy for presurgical decision-making. Results: all 18 patients successfully underwent surgeries, and there were no mortalities. The 3D patient-specific cardiac models led to a change from the initial surgical plans in 6 of 18 cases (33%), and biventricular repair was considered feasible. Moreover, the models helped to modify the planned biventricular repair in five cases, for left ventricular outflow tract obstruction removal and ventricular septal defect enlargement. 3D cardiac models enable pediatric cardiologists to better understand the spatial relationships between the ventricular septal defect and great vessels, and they help surgeons identify risk structures more clearly for detailed planning of surgery. There was a strong correlation between the models of the patients and the anatomy encountered during the operation. Conclusion: 3D cardiac models accurately reveal the patient's anatomy in detail and are therefore beneficial for planning surgery in patients with complex intracardiac anatomy.
dc.description.fulltextYES
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.indexedbyTR Dizin
dc.description.issue4
dc.description.openaccessYES
dc.description.publisherscopeNational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipN/A
dc.description.versionPublisher version
dc.description.volume27
dc.formatpdf
dc.identifier.doi10.5152/dir.2021.20163
dc.identifier.eissn1305-3612
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR03073
dc.identifier.linkhttps://doi.org/10.5152/dir.2021.20163
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-85110554172
dc.identifier.urihttps://hdl.handle.net/20.500.14288/1972
dc.identifier.wos674747700005
dc.keywordsCardiac surgical procedures
dc.keywordsChild
dc.keywordsDouble outlet right ventricle
dc.keywordsHeart defects, Congenital
dc.keywordsHeart septal defects
dc.keywordsVentricular
dc.keywordsHumans
dc.keywordsInfant
dc.keywordsTransposition of great vessels
dc.languageEnglish
dc.publisherAves
dc.relation.grantnoNA
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9731
dc.sourceDiagnostic and Interventional Radiology
dc.subjectRadiology
dc.subjectNuclear medicine
dc.subjectMedical imaging
dc.titleSingle-center experience with routine clinical use of 3D technologies in surgical planning for pediatric patients with complex congenital heart disease
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0001-7637-4445
local.contributor.kuauthorPekkan, Kerem
relation.isOrgUnitOfPublicationba2836f3-206d-4724-918c-f598f0086a36
relation.isOrgUnitOfPublication.latestForDiscoveryba2836f3-206d-4724-918c-f598f0086a36

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