scholarly journals TCTAP A-072 Chronic Total Occlusion Simulation Training System Using 3D Printing Technology

2018 ◽  
Vol 71 (16) ◽  
pp. S41-S42
Author(s):  
Li Wei Chen ◽  
Scofield Zhang
2020 ◽  
Vol 8 (2) ◽  
pp. 50-56
Author(s):  
Maheswaran Viyannan ◽  
Pananghat A. Kumar ◽  
Sreedharkumar Eswarswamy ◽  
Gunaseelan Murugesan ◽  
Karthikeyan Ramaraju

Background: The present medical curriculum aims at training the students to be proficient in performing techniques required for clinical practice. This is best achieved through clinical simulation, which has emerged as a successful method for clinical learning. Residents in respiratory medicine need to be trained in the procedure of bronchoscopy for which a functional model of the airway is required. Airway mannequins for this purpose can be produced using 3D printing technology, which involves the usage of sophisticated software. Subjects and Methods: Serial axial CT images of the chest, revealing details of the respiratory tract were selected as the base resource to recreate the bronchial tree by 3D printing. This DICOM (Digital Imaging and Communications in Medicine) images after conversion into STL (Stero lithography) format were transferred into a 3D printer and physical models were made from these data, using Vero clear and rubber. This model which had a life-like form and consistency required for practicing the skill was connected to an airway mannequin using an adaptor to practice the skill. Conclusions: Axial CT scan images provide the base data for reconstructing the airway of a patient, using 3D printing technology and appropriate software. Such reconstructions can be used to produce a functional model of the airway, which can be used for training in bronchoscopy. The training system could be connected to a monitor thereby facilitating tracking of the probe of the bronchoscope. Repeated trials make the trainees perfect their technique. Our attempt to replicating the tracheobronchial tree for such training has been a success.


Author(s):  
Mohd Nazri Ahmad ◽  
Ahmad Afiq Tarmeze ◽  
Amir Hamzah Abdul Rasib

2020 ◽  
Vol 14 (7) ◽  
pp. 470
Author(s):  
Jarosław Kotliński ◽  
Karol Osowski ◽  
Zbigniew Kęsy ◽  
Andrzej Kęsy

2021 ◽  
pp. 2102649
Author(s):  
Sourav Chaule ◽  
Jongha Hwang ◽  
Seong‐Ji Ha ◽  
Jihun Kang ◽  
Jong‐Chul Yoon ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1106
Author(s):  
Alejandro Cortés ◽  
Xoan F. Sánchez-Romate ◽  
Alberto Jiménez-Suárez ◽  
Mónica Campo ◽  
Ali Esmaeili ◽  
...  

Electromechanical sensing devices, based on resins doped with carbon nanotubes, were developed by digital light processing (DLP) 3D printing technology in order to increase design freedom and identify new future and innovative applications. The analysis of electromechanical properties was carried out on specific sensors manufactured by DLP 3D printing technology with complex geometries: a spring, a three-column device and a footstep-sensing platform based on the three-column device. All of them show a great sensitivity of the measured electrical resistance to the applied load and high cyclic reproducibility, demonstrating their versatility and applicability to be implemented in numerous items in our daily lives or in industrial devices. Different types of carbon nanotubes—single-walled, double-walled and multi-walled CNTs (SWCNTs, DWCNTs, MWCNTs)—were used to evaluate the effect of their morphology on electrical and electromechanical performance. SWCNT- and DWCNT-doped nanocomposites presented a higher Tg compared with MWCNT-doped nanocomposites due to a lower UV light shielding effect. This phenomenon also justifies the decrease of nanocomposite Tg with the increase of CNT content in every case. The electromechanical analysis reveals that SWCNT- and DWCNT-doped nanocomposites show a higher electromechanical performance than nanocomposites doped with MWCNTs, with a slight increment of strain sensitivity in tensile conditions, but also a significant strain sensitivity gain at bending conditions.


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