Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease
Abstract The study aimed to evaluate the effectiveness of blood pool and myocardial models made by stereolithography in the diagnosis of different types of congenital heart disease (CHD). Two modeling methods were applied in the diagnosis of 8 cases, and two control groups consisting of experts and...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-11294-6 |
| _version_ | 1818250655693799424 |
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| author | Jixiang Liang Xin Zhao Guangyu Pan Gen Zhang Dianjiang Zhao Jianping Xu Dianyuan Li Bingheng Lu |
| author_facet | Jixiang Liang Xin Zhao Guangyu Pan Gen Zhang Dianjiang Zhao Jianping Xu Dianyuan Li Bingheng Lu |
| author_sort | Jixiang Liang |
| collection | DOAJ |
| description | Abstract The study aimed to evaluate the effectiveness of blood pool and myocardial models made by stereolithography in the diagnosis of different types of congenital heart disease (CHD). Two modeling methods were applied in the diagnosis of 8 cases, and two control groups consisting of experts and students diagnosed the cases using echocardiography with computed tomography, blood pool models, and myocardial models. The importance, suitability, and simulation degree of different models were analyzed. The average diagnostic rate before and after 3D printing was used was 88.75% and 95.9% (P = 0.001) in the expert group and 60% and 91.6% (P = 0.000) in the student group, respectively. 3D printing was considered to be more important for the diagnosis of complex CHDs (very important; average, 87.8%) than simple CHDs (very important; average, 30.8%) (P = 0.000). Myocardial models were considered most realistic regarding the structure of the heart (average, 92.5%). In cases of congenital corrected transposition of great arteries, Williams syndrome, coronary artery fistula, tetralogy of Fallot, patent ductus arteriosus, and coarctation of the aorta, blood pool models were considered more effective (average, 92.1%), while in cases of double outlet right ventricle and ventricular septal defect, myocardial models were considered optimal (average, 80%). |
| first_indexed | 2024-12-12T15:55:51Z |
| format | Article |
| id | doaj.art-793669d21276490da4e9dd4bf85b6916 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-12T15:55:51Z |
| publishDate | 2022-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-793669d21276490da4e9dd4bf85b69162022-12-22T00:19:29ZengNature PortfolioScientific Reports2045-23222022-05-0112111110.1038/s41598-022-11294-6Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart diseaseJixiang Liang0Xin Zhao1Guangyu Pan2Gen Zhang3Dianjiang Zhao4Jianping Xu5Dianyuan Li6Bingheng Lu7The State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityInstitute of 3D Printing, Beijing City UniversityDepartment of Cardiovascular Surgery, Peking University International HospitalDepartment of Cardiovascular Surgery, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical UniversityDepartment of Radiology, Peking University International HospitalDepartment of Cardiovascular Surgery, Peking University International HospitalDepartment of Cardiovascular Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical UniversityThe State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityAbstract The study aimed to evaluate the effectiveness of blood pool and myocardial models made by stereolithography in the diagnosis of different types of congenital heart disease (CHD). Two modeling methods were applied in the diagnosis of 8 cases, and two control groups consisting of experts and students diagnosed the cases using echocardiography with computed tomography, blood pool models, and myocardial models. The importance, suitability, and simulation degree of different models were analyzed. The average diagnostic rate before and after 3D printing was used was 88.75% and 95.9% (P = 0.001) in the expert group and 60% and 91.6% (P = 0.000) in the student group, respectively. 3D printing was considered to be more important for the diagnosis of complex CHDs (very important; average, 87.8%) than simple CHDs (very important; average, 30.8%) (P = 0.000). Myocardial models were considered most realistic regarding the structure of the heart (average, 92.5%). In cases of congenital corrected transposition of great arteries, Williams syndrome, coronary artery fistula, tetralogy of Fallot, patent ductus arteriosus, and coarctation of the aorta, blood pool models were considered more effective (average, 92.1%), while in cases of double outlet right ventricle and ventricular septal defect, myocardial models were considered optimal (average, 80%).https://doi.org/10.1038/s41598-022-11294-6 |
| spellingShingle | Jixiang Liang Xin Zhao Guangyu Pan Gen Zhang Dianjiang Zhao Jianping Xu Dianyuan Li Bingheng Lu Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease Scientific Reports |
| title | Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease |
| title_full | Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease |
| title_fullStr | Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease |
| title_full_unstemmed | Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease |
| title_short | Comparison of blood pool and myocardial 3D printing in the diagnosis of types of congenital heart disease |
| title_sort | comparison of blood pool and myocardial 3d printing in the diagnosis of types of congenital heart disease |
| url | https://doi.org/10.1038/s41598-022-11294-6 |
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