TY - JOUR
T1 - Efficacy of additional electrostatic precipitation to intraperitoneal aerosolized chemotherapy in a realistically reconstructed human peritoneal cavity: a computational study
AU - Rahimi-Gorji, Mohammad
AU - Debbaut, Charlotte
AU - Ghorbaniasl, Ghader
AU - Cosyns, Sarah
AU - Willaert, Wouter
AU - Ceelen, Wim
PY - 2023/2
Y1 - 2023/2
N2 - Peritoneal metastasis (PM) is a type of cancer spread in which the peritoneum is affected by numerous tumor nodules. Pressurized intraperitoneal aerosol chemotherapy (PIPAC) is an innovative drug delivery method developed to treat PM using laparoscopy. During PIPAC treatment, chemotherapeutics are nebulized as aerosol droplets using a high-pressure injector (Injektron™ 82 M, Medtron, Germany) and an atomizer (Capnopen®, Germany) with the aim to obtain a homogeneous droplet distribution throughout the peritoneal cavity, thereby increasing the effectiveness of intraperitoneal chemotherapy. The goal of the present work was to investigate the effect of additional electrostatic precipitation (ePIPAC) on the aerosol distribution during PIPAC in a realistically reconstructed human peritoneal cavity using computational fluid dynamics (CFD) modeling.
AB - Peritoneal metastasis (PM) is a type of cancer spread in which the peritoneum is affected by numerous tumor nodules. Pressurized intraperitoneal aerosol chemotherapy (PIPAC) is an innovative drug delivery method developed to treat PM using laparoscopy. During PIPAC treatment, chemotherapeutics are nebulized as aerosol droplets using a high-pressure injector (Injektron™ 82 M, Medtron, Germany) and an atomizer (Capnopen®, Germany) with the aim to obtain a homogeneous droplet distribution throughout the peritoneal cavity, thereby increasing the effectiveness of intraperitoneal chemotherapy. The goal of the present work was to investigate the effect of additional electrostatic precipitation (ePIPAC) on the aerosol distribution during PIPAC in a realistically reconstructed human peritoneal cavity using computational fluid dynamics (CFD) modeling.
U2 - 10.1016/j.ejso.2022.11.545
DO - 10.1016/j.ejso.2022.11.545
M3 - Article
VL - 49
SP - E197-E198
JO - European Journal of Surgical Oncology
JF - European Journal of Surgical Oncology
SN - 0748-7983
IS - 2
ER -