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Published on: December 14, 2020
High-resolution Manometry: Esophageal Disorders Not Addressed by the "Chicago Classification"
Yu Tien Wang1, Etsuro Yazaki, Daniel Sifrim
1Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
High-resolution esophageal manometry (HRM) offers insights beyond the current Chicago classification for esophageal motility disorders. This review details unclassified HRM findings, potentially expanding diagnostic criteria.
Area of Science:
- Gastroenterology
- Esophageal Physiology
- Diagnostic Imaging
Background:
- High-resolution esophageal manometry (HRM) and the Chicago classification have advanced esophageal motility disorder diagnosis.
- Current classifications do not encompass all observed HRM findings.
- There is a need to expand diagnostic capabilities for complex esophageal conditions.
Purpose of the Study:
- To review and describe high-resolution esophageal manometry (HRM) findings not currently included in the Chicago classification.
- To discuss the utility of HRM in evaluating specific conditions like rumination syndrome and post-surgical patients.
- To propose the incorporation of new manometric criteria into the existing classification.
Main Methods:
- Review of high-resolution esophageal manometry (HRM) data and clinical experience from a single center.
- Analysis of findings related to the upper esophageal sphincter, proximal esophagus, and longitudinal muscle contraction.
- Discussion of provocative tests and HRM applications in specific patient groups.
Main Results:
- Identification of several HRM findings not covered by the current Chicago classification.
- Exploration of HRM's role in diagnosing disorders associated with GERD and respiratory symptoms.
- Evaluation of HRM's utility in rumination syndrome and post-surgical assessments.
Conclusions:
- Characterizing unclassified HRM findings is crucial for comprehensive esophageal motility disorder diagnosis.
- Expanding the Chicago classification based on novel HRM data will improve patient management.
- Further research and data collection are needed to refine and incorporate new criteria.
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