TY - GEN
T1 - Surgical timing prediction of patient-specific congenital tracheal stenosis with bridging bronchus by using computational aerodynamics
AU - Shen, Juanya
AU - Zhu, Limin
AU - Tong, Zhirong
AU - Liu, Jinfen
AU - Umezu, Mitsuo
AU - Xu, Zhuomin
AU - Liu, Jinlong
N1 - Funding Information:
Acknowledgement. We have been genuinely appreciative of the support of the National Nature Science Foundation of China (No. 81602818, P.I.: Limin Zhu and No. 81501558, P.I.: Jinlong Liu), the Project-sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry (No. 20144902, P.I.: Jinlong Liu), the Fund of The Shanghai Committee of Science and Technology (No. 15411967100, P.I.: Limin Zhu and No. 14411968900, P.I.: Jinlong Liu) and the Biomedical and Engineering (Science) Inter-disciplinary Study Fund of Shanghai Jiaotong University (No. YG2014MS63, P.I.: Jinlong Liu).
Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2017.
PY - 2017
Y1 - 2017
N2 - Congenital tracheal stenosis (CTS) has a high clinical mortality in neonates and infants. Although the procedure of slide tracheoplasty (STP) applied over the years, it is still a challenge for clinicians to predict the surgical timing of the CTS correction. In the present study, we studied on three-dimensional (3D) aerodynamic analysis of an original tracheal model from a specific patient with CTS and bridging bronchus (BB) and four new reconstructed models. We constructed a 3D patient-specific tracheal model based on CT images and applied computer-aided design (CAD) to reconstruct four models to imitate the stenosis development of CTS. Average pressure drop (APD), wall shear stress (WSS) and velocity streamlines were calculated to analyze local aerodynamic characteristics for the evaluation of airflow at the inspiration phase and expiration phase, respectively. We found APD, WSS and AEL decreased during the respiration with the decrease of stenosis. Three abnormal gradients in APD were observed between the main stenosis of trachea arrived at 80% and 60%. This implied the surgical correction may be required when the main stenosis reached 60%. The combination of CAD and aerodynamic analysis is a potential noninvasive tool for surgical timing prediction in the management of patient-specific correction of CTS.
AB - Congenital tracheal stenosis (CTS) has a high clinical mortality in neonates and infants. Although the procedure of slide tracheoplasty (STP) applied over the years, it is still a challenge for clinicians to predict the surgical timing of the CTS correction. In the present study, we studied on three-dimensional (3D) aerodynamic analysis of an original tracheal model from a specific patient with CTS and bridging bronchus (BB) and four new reconstructed models. We constructed a 3D patient-specific tracheal model based on CT images and applied computer-aided design (CAD) to reconstruct four models to imitate the stenosis development of CTS. Average pressure drop (APD), wall shear stress (WSS) and velocity streamlines were calculated to analyze local aerodynamic characteristics for the evaluation of airflow at the inspiration phase and expiration phase, respectively. We found APD, WSS and AEL decreased during the respiration with the decrease of stenosis. Three abnormal gradients in APD were observed between the main stenosis of trachea arrived at 80% and 60%. This implied the surgical correction may be required when the main stenosis reached 60%. The combination of CAD and aerodynamic analysis is a potential noninvasive tool for surgical timing prediction in the management of patient-specific correction of CTS.
KW - Aerodynamics
KW - Airflow
KW - Computational fluid dynamics
KW - Computer-aided design
KW - Congenital tracheal stenosis
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U2 - 10.1007/978-981-10-6370-1_18
DO - 10.1007/978-981-10-6370-1_18
M3 - Conference contribution
AN - SCOPUS:85029505037
SN - 9789811063695
T3 - Communications in Computer and Information Science
SP - 181
EP - 190
BT - Advanced Computational Methods in Life System Modeling and Simulation - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Proceedings
A2 - Fei, Minrui
A2 - Ma, Shiwei
A2 - Li, Xin
A2 - Sun, Xin
A2 - Jia, Li
A2 - Su, Zhou
PB - Springer Verlag
T2 - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017
Y2 - 22 September 2017 through 24 September 2017
ER -