ArticleACG case reports journal2020
The Role of Automatically Generated Chicago Classification in Delayed Achalasia Diagnosis.
Article in ACG case reports journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Development of a diagnostic model for esophageal achalasia assessed by esophageal high-resolution manometry using artificial intelligence.Experimental and therapeutic medicine · 2026Article
- Esophageal high-resolution manometry demands visual interpretation in addition to mathematical software-based analysis.Langenbeck's archives of surgery · 2023Article
- The Challenges of Esaphagogastric Junction Outflow Obstruction, Is It Really a Diagnosis? Creating a Systematic Clinical Approach for EGJOO.Dysphagia · 2021Article
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Authors and funding
2 authors.
Funding
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Abstract
Achalasia is an esophageal motility disorder characterized by a lack of peristalsis and an increased lower esophageal sphincter pressure that does not relax with swallowing. High-resolution manometry (HRM), a valuable diagnostic tool for esophageal disorders, often comes with software for automated study interpretation. Although helpful, there are certain caveats in the diagnostic criteria for achalasia which the software may miss. We highlight 2 patients in whom software analysis of HRM studies resulted in misdiagnosis of achalasia as manometrically detected nonachalasia esophagogastric junction outflow obstruction and emphasize the importance of manual interpretation of HRM data by clinicians.
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