Enhancing Chicago Classification diagnoses with functional lumen imaging probe-mechanics (FLIP-MECH).

ABSTRACT:

Background

Esophageal motility disorders can be diagnosed by either high-resolution manometry (HRM) or the functional lumen imaging probe (FLIP) but there is no systematic approach to synergize the measurements of these modalities or to improve the diagnostic metrics that have been developed to analyze them. This work aimed to devise a formal approach to bridge the gap between diagnoses inferred from HRM and FLIP measurements using deep learning and mechanics.

Methods

The "mechanical health" of the esophagus was analyzed in 740 subjects including a spectrum of motility disorder patients and normal subjects. The mechanical health was quantified through a set of parameters including wall stiffness, active relaxation, and contraction pattern. These parameters were used by a var

SUBMITTER: Halder S 

PROVIDER: S-EPMC11246220 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature