ArticleBiomechanics and modeling in mechanobiology2021
Mechanics informed fluoroscopy of esophageal transport.
Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06883175 (Evolution of the Chicago Classification), which is not on this map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evolution of the Chicago Classification: Bridging Physiology and Mechanics
Who cites it
16 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Ex-vivo mechano-structural characterization of fresh diseased human esophagus.Acta biomaterialia · 2025Article
- A Software Framework for the Functional Lumen Imaging Probe-Mechanics (MechView).Neurogastroenterology and motility · 2025Article
- Perspectives on physics-based one-dimensional modeling of lung physiology.Frontiers in physiology · 2025Article
- Enhancing Chicago Classification diagnoses with functional lumen imaging probe-mechanics (FLIP-MECH).Neurogastroenterology and motility · 2024Article
- Oesophageal fluoroscopy in adults-when and why?The British journal of radiology · 2024Review
- Automatic three-dimensional reconstruction of the oesophagus in achalasia patients undergoing POEM: an innovative approach for evaluating treatment outcomes.BMJ open gastroenterology · 2024Article
- Assessing mechanical function of peristalsis with functional lumen imaging probe panometry: Contraction power and displaced volume.Neurogastroenterology and motility · 2023Article
- A mechanics-based perspective on the function of the esophagogastric junction during functional luminal imaging probe manometry.Biomechanics and modeling in mechanobiology · 2023Article
- Esophageal diverticula: from diagnosis to therapeutic management-narrative review.Journal of thoracic disease · 2023Review
- Peristaltic regimes in esophageal transport.Biomechanics and modeling in mechanobiology · 2023Article
- MRI-MECH: mechanics-informed MRI to estimate esophageal health.Frontiers in physiology · 2023Article
- Esophageal wall compliance/stiffness during peristalsis in patients with functional dysphagia and high-amplitude esophageal contractions.American journal of physiology. Gastrointestinal and liver physiology · 2022Article
- Myotomy technique and esophageal contractility impact blown-out myotomy formation in achalasia: an in silico investigation.American journal of physiology. Gastrointestinal and liver physiology · 2022Article
- A mechanics-based perspective on the pressure-cross-sectional area loop within the esophageal body.Frontiers in physiology · 2022Article
- Assessment of esophageal body peristaltic work using functional lumen imaging probe panometry.American journal of physiology. Gastrointestinal and liver physiology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Fluoroscopy is a radiographic procedure for evaluating esophageal disorders such as achalasia, dysphasia and gastroesophageal reflux disease. It performs dynamic imaging of the swallowing process and provides anatomical detail and a qualitative idea of how well swallowed fluid is transported through the esophagus. In this work, we present a method called mechanics informed fluoroscopy (FluoroMech) that derives patient-specific quantitative information about esophageal function. FluoroMech uses a convolutional neural network to perform segmentation of image sequences generated from the fluoroscopy, and the segmented images become input to a one-dimensional model that predicts the flow rate and pressure distribution in fluid transported through the esophagus. We have extended this model to identify and estimate potential physiomarkers such as esophageal wall stiffness and active relaxation ahead of the peristaltic wave in the esophageal musculature. FluoroMech requires minimal computational time and hence can potentially be applied clinically in the diagnosis of esophageal disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.