Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/39563
Title: Shape memory-based gastric motility 3D mapping
Author: Jia, Neil Zixun
Gao, Qiyun
Sencadas, Vítor
Zong, Michelle
George-Akpenyi, Jesse
Waft, Sylvia E.
Kuosmanen, Johannes L.P.
Jenkins, Josh
Ishida, Keiko
Hayward, Alison M.
Madani, Wiam Abdalla Mohammed
Fabian, Niora
Selsing, George
Owyang, Stephanie
Ramadi, Khalil B.
Kang, Ziliang
Huang, Hen-Wei
Traverso, Giovanni
Keywords: Endoscopy
Motility
Biomedical device
Bioelectronics
Issue Date: 21-Jul-2023
Publisher: Elsevier
Abstract: Gastrointestinal (GI) dysmotility, caused by impaired muscular contractions in the GI tract, affects 15%–20% of the population. Current clinical evaluations are limited. Here we report a motility-mapping platform that maps three-dimensional (3D) pressure distribution in the stomach, addressing gaps in existing techniques, such as high-resolution manometry. We validated the platform’s measurements against existing techniques in the esophagus and rectum. A sensor probe, designed to conform to specific anatomical environments, uses body-temperature-triggered shape memory alloy to adapt to the stomach. We tested the platform’s motility mapping in swine stomachs, esophagi, and rectums, both ex vivo and in vivo. This 3D in vivo charac- terization could transform our understanding, diagnosis, and treatment of complex GI conditions, such as functional dyspepsia.
Peer review: yes
URI: http://hdl.handle.net/10773/39563
DOI: 10.1016/j.device.2023.100010
ISSN: 2666-9986
Appears in Collections:CICECO - Artigos
DEMaC - Artigos

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