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Feasibility analyses of virtual models and 3D printing for surgical simulation of the double-outlet right ventricle

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Abstract

Accurate diagnosis and surgical selection of the double-outlet right ventricle (DORV) is both critical and difficult. Virtual models and three-dimensional (3D) printing have been used to provide morphological copies to doctors as reference. However, the existing methods have shortcomings in visualization of the surgical results, optimal surgical design, and accurate surgical scheme measurements. To overcome this problem, we performed surgical predictions by designing the intraventricular baffle and ventricular septal defect patch to evaluate surgical options and using 3D printing to guide the trimming of the baffle or patch. A complete set of processes including scanning, modeling, designing, 3D printing, and guiding the trimming of the baffle for the diagnosis and surgical planning of DORV was established. Six cases were used to evaluate the feasibility of this method. The average rate of misdiagnosis of the six cases by computed tomography and echocardiography was 42.5%, which was reduced to 4.6% when the diagnosis was established using the virtual models and 3D printing as auxiliary tools. The approach effectively improved diagnostic accuracy, guided the operation, and simplified the process of patch trimming. The proposed method can thus be used for improving the surgical simulation and guiding of the DORV surgery.

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Abbreviations

3D:

Three dimensional

Ao:

Aorta

AR:

Aortic root

CT:

Computed tomography

DICOM:

Digital Imaging and Communications in Medicine

DORV:

Double-outlet right ventricle

IT:

Intraventricular tunnel

ITB:

Intraventricular tunnel baffle

LV:

Left ventricle

PA:

Pulmonary artery

RA:

Right atrium

RV:

Right ventricle

TV:

Tricuspid valve

VSD:

Ventricular septal defect

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Funding

The project was supported by Beijing Municipal Science & Technology Commission Z191100006619005, Nanjing Medical University Affiliated Suzhou Hospital Research Grant GSRCKY20210101, and Peking University International Hospital Research Grant YN2019ZD01. The funders had no role in study design, data collection and analysis, decision to publish, or manuscript preparation.

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Author notes

  1. Jixiang Liang and Xin Zhao contributed equally to this work.

Authors and Affiliations

  1. The State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Shaanxi, China

    Jixiang Liang & Bingheng Lu

  2. Institute of 3D Printing, Beijing City University, Beijing, China

    Jixiang Liang & Xin Zhao

  3. Department of Medical Ultrasonography, Peking University International Hospital, Beijing, China

    Jiong Wang & Qiang Ma

  4. Department of Radiology, Peking University International Hospital, Beijing, China

    Dianjiang Zhao

  5. Department of Cardiovascular Surgery, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Sichuan, China

    Gen Zhang

  6. Department of Anesthesiology, Peking University International Hospital, Beijing, China

    Bin Zhu

  7. Department of Cardiovascular Surgery, Peking University International Hospital, No.1, Zhongguancun Life Science Park, Beijing, China

    Guangyu Pan

  8. Department of Cardiovascular Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 26 Daoqian Street, Gusu District, Suzhou, China

    Dianyuan Li

Authors
  1. Jixiang Liang
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  2. Bingheng Lu
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  3. Xin Zhao
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  4. Jiong Wang
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  5. Dianjiang Zhao
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  6. Gen Zhang
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  7. Bin Zhu
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  8. Qiang Ma
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  9. Guangyu Pan
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Corresponding authors

Correspondence to Guangyu Pan or Dianyuan Li.

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Liang, J., Lu, B., Zhao, X. et al. Feasibility analyses of virtual models and 3D printing for surgical simulation of the double-outlet right ventricle. Med Biol Eng Comput 60, 3029–3040 (2022). https://doi.org/10.1007/s11517-022-02660-7

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  • DOI: https://doi.org/10.1007/s11517-022-02660-7

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