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Carniel EL, Frigo A, Costantini M, et al. A physiological model for the investigation of esophageal motility in healthy and pathologic conditions. Proc Inst Mech Eng H. 2016;230(9):892-899doi: 10.1177/0954411916658915.
Carniel, E. L., Frigo, A., Costantini, M., Giuliani, T., Nicoletti, L., Merigliano, S., & Natali, A. N. (2016). A physiological model for the investigation of esophageal motility in healthy and pathologic conditions. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 230(9), 892-899. https://doi.org/10.1177/0954411916658915
Carniel, Emanuele Luigi, et al. "A physiological model for the investigation of esophageal motility in healthy and pathologic conditions." Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine vol. 230,9 (2016): 892-899. doi: https://doi.org/10.1177/0954411916658915
Carniel EL, Frigo A, Costantini M, Giuliani T, Nicoletti L, Merigliano S, Natali AN. A physiological model for the investigation of esophageal motility in healthy and pathologic conditions. Proc Inst Mech Eng H. 2016 Sep;230(9):892-899. doi: 10.1177/0954411916658915. Epub 2016 Aug 03. PMID: 27422826.
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Proc Inst Mech Eng H. 2016 Sep;230(9):892-899. doi: 10.1177/0954411916658915. Epub 2016 Aug 03.

A physiological model for the investigation of esophageal motility in healthy and pathologic conditions.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine

Emanuele Luigi Carniel, Alessandro Frigo, Mario Costantini, Tommaso Giuliani, Loredana Nicoletti, Stefano Merigliano, Arturo N Natali

Affiliations

  1. 1 Department of Industrial Engineering, University of Padova, Padova, Italy.
  2. 2 Centre for Mechanics of Biological Materials, University of Padova, Padova, Italy.
  3. 3 Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.

PMID: 27422826 DOI: 10.1177/0954411916658915

Abstract

Recent technological advances in esophageal manometry allowed the definition of new classification methods for the diagnosis of disorders of esophageal motility and the implementation of innovative computational tools for the autonomic, reliable and unbiased detection of different disorders. Computational models can be developed aiming to interpret the mechanical behavior and functionality of the gastrointestinal tract and to summarize the results from clinical measurements, as high-resolution manometry pressure plots, into model parameters. A physiological model was here developed to interpret data from esophageal high-resolution manometry. Such model accounts for parameters related to specific physiological properties of the biological structures involved in the peristaltic mechanism. The identification of model parameters was performed by minimizing the discrepancy between clinical data from high-resolution manometry and model results. Clinical data were collected from both healthy volunteers ( n = 35) and patients with different motor disorders, such as achalasia patterns 1 ( n = 13), 2 ( n = 20) and 3 ( n = 5), distal esophageal spasm ( n = 69), esophago-gastric junction outflow obstruction ( n = 25), nutcracker esophagus ( n = 11) and normal motility ( n = 42). The physiological model that was formulated in this work can properly explain high-resolution manometry data, as confirmed by the evaluation of the coefficient of determination R

Keywords: Esophageal motility; autonomic procedure; diagnosis; high-resolution manometry; model

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