Peristaltic regimes in esophageal transport

Guy Elisha, Shashank Acharya, Sourav Halder, Dustin A. Carlson, Wenjun Kou, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A FLIP device gives cross-sectional area along the length of the esophagus and one pressure measurement, both as a function of time. Deducing mechanical properties of the esophagus including wall material properties, contraction strength, and wall relaxation from these data are a challenging inverse problem. Knowing mechanical properties can change how clinical decisions are made because of its potential for in-vivo mechanistic insights. To obtain such information, we conducted a parametric study to identify peristaltic regimes by using a 1D model of peristaltic flow through an elastic tube closed on both ends and also applied it to interpret clinical data. The results gave insightful information about the effect of tube stiffness, fluid/bolus density and contraction strength on the resulting esophagus shape through quantitive representations of the peristaltic regimes. Our analysis also revealed the mechanics of the opening of the contraction area as a function of bolus flow resistance. Lastly, we concluded that peristaltic driven flow displays three modes of peristaltic geometries, but all physiologically relevant flows fall into two peristaltic regimes characterized by a tight contraction.

Original languageEnglish (US)
Pages (from-to)23-41
Number of pages19
JournalBiomechanics and Modeling in Mechanobiology
Volume22
Issue number1
DOIs
StatePublished - Feb 2023

Funding

This work was funded by the by Public Health Service Grants R01-DK079902 and P01-DK117824, and National Science Foundation Grants OAC 1450374 and OAC 1931372. Their support is greatly appreciated.

Keywords

  • Elastic tube flow
  • Esophagus
  • Fluid–structure interaction
  • Peristalsis
  • Reduced-order model

ASJC Scopus subject areas

  • Biotechnology
  • Modeling and Simulation
  • Mechanical Engineering

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