Functional disorders and tissues degenerative phenomena may affect the esophageal motility and functionality causing chest pain and inability to swallow, representing a relevant social-health problem. The diagnosis is usually performed considering results from High Resolution Manometry (HRM), but inter- and intra-operator variabilities may affect the procedure with regard to the final problem definition. An autonomic diagnosis procedure was here defined, aiming to support the clinical staff during the traditional diagnostic process and to reduce the margin of personal interpretation. Such algorithm accounts for a physiological model designed to interpret data from HRM and to summarize results into specific model parameters. A training set (N=226) of healthy volunteers and pathological subjects was assumed and model parameters distributions of different groups of subjects were defined. Different pathologies were investigated: Achalasia pattern I, Achalasia pattern II, Hypertensive Lower Esophageal Sphincter (Hypertensive LES), Nutcracker esophagus and Diffuse Esophageal Spasm (DES). According to the developed algorithm, a patient is classified by comparing the patient-specific parameters to the distributions of the different groups of subjects and selecting the “most similar” group. Results address the suitability of model to interpret data from HRM (R2=86% to 99% between experimental data and model results) and the reliability of the developed procedure as a valid support to clinicians during the traditional diagnostic activity.

A procedure for the autonomic diagnosis of esophageal motility disorders

FRIGO, ALESSANDRO;CARNIEL, EMANUELE LUIGI;COSTANTINI, MARIO;SALVADOR, RENATO;MERIGLIANO, STEFANO;NATALI, ARTURO
2016

Abstract

Functional disorders and tissues degenerative phenomena may affect the esophageal motility and functionality causing chest pain and inability to swallow, representing a relevant social-health problem. The diagnosis is usually performed considering results from High Resolution Manometry (HRM), but inter- and intra-operator variabilities may affect the procedure with regard to the final problem definition. An autonomic diagnosis procedure was here defined, aiming to support the clinical staff during the traditional diagnostic process and to reduce the margin of personal interpretation. Such algorithm accounts for a physiological model designed to interpret data from HRM and to summarize results into specific model parameters. A training set (N=226) of healthy volunteers and pathological subjects was assumed and model parameters distributions of different groups of subjects were defined. Different pathologies were investigated: Achalasia pattern I, Achalasia pattern II, Hypertensive Lower Esophageal Sphincter (Hypertensive LES), Nutcracker esophagus and Diffuse Esophageal Spasm (DES). According to the developed algorithm, a patient is classified by comparing the patient-specific parameters to the distributions of the different groups of subjects and selecting the “most similar” group. Results address the suitability of model to interpret data from HRM (R2=86% to 99% between experimental data and model results) and the reliability of the developed procedure as a valid support to clinicians during the traditional diagnostic activity.
2016
V CONGRESSO GRUPPO NAZIONALE DI BIOINGEGNERIA (GNB 2016)
978-88-941906-0-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3191533
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