TY - GEN
T1 - Medical Bio-Modeling
T2 - 30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
AU - Quesada Velarde, Luis Antonio
AU - Leyton Reto, Thalia Marycielo
AU - Lizana, Paul Cardenas
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Congenital anomalies are among the leading causes of mortality worldwide, predominantly affecting lower-middle-income countries. Furthermore, these complex and rare anatomical structures are sometimes not fully comprehensible until the surgical procedure begins. To address these challenges, increased innovation and new procedures are needed, as multiple factors hinder the advancement of neonatal surgery in our country. Obtaining clinical models represented in three dimensions (3D) can provide additional details and hands-on surgical training for medical doctors, thereby reducing the risks associated with these surgeries. Clinical models have already demonstrated success as a potential supplementary technique for medical imaging. However, the existing infrastructure and local resources present significant challenges. Therefore, an in-house 3D printing fabrication procedure must be made available. In this retrospective study, we are combining image computing software and 3D printing technology to create, for the first time, five biomodels of patients with congenital anomalies in a real clinical setting in a middle-income country like Peru. The evidence obtained will contribute to the incorporation of 3D printing in the field of diagnosis and treatment at one of Peru's most critical public children's hospitals. This breakthrough opens the door for future developments and the integration of these facilities into more public institutions.
AB - Congenital anomalies are among the leading causes of mortality worldwide, predominantly affecting lower-middle-income countries. Furthermore, these complex and rare anatomical structures are sometimes not fully comprehensible until the surgical procedure begins. To address these challenges, increased innovation and new procedures are needed, as multiple factors hinder the advancement of neonatal surgery in our country. Obtaining clinical models represented in three dimensions (3D) can provide additional details and hands-on surgical training for medical doctors, thereby reducing the risks associated with these surgeries. Clinical models have already demonstrated success as a potential supplementary technique for medical imaging. However, the existing infrastructure and local resources present significant challenges. Therefore, an in-house 3D printing fabrication procedure must be made available. In this retrospective study, we are combining image computing software and 3D printing technology to create, for the first time, five biomodels of patients with congenital anomalies in a real clinical setting in a middle-income country like Peru. The evidence obtained will contribute to the incorporation of 3D printing in the field of diagnosis and treatment at one of Peru's most critical public children's hospitals. This breakthrough opens the door for future developments and the integration of these facilities into more public institutions.
KW - 3d printing
KW - Congenital anomalies
KW - Lower-middle income countries
KW - Medical modeling
KW - Surgical planning
UR - http://www.scopus.com/inward/record.url?scp=85179889836&partnerID=8YFLogxK
U2 - 10.1109/INTERCON59652.2023.10326070
DO - 10.1109/INTERCON59652.2023.10326070
M3 - Conference contribution
AN - SCOPUS:85179889836
T3 - Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
BT - Proceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 November 2023 through 4 November 2023
ER -