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The Role of Automatically Generated Chicago Classification in Delayed Achalasia Diagnosis
Leon D Averbukh1, Micheal Tadros2
1Department of Medicine, University of Connecticut Health Center, Farmington, CT.
ACG Case Reports Journal
|April 28, 2020
Summary
Software analysis of high-resolution manometry (HRM) can misdiagnose achalasia. Manual interpretation of HRM data by clinicians is crucial for accurate achalasia diagnosis, avoiding potential misclassification as non-achalasia esophagogastric junction outflow obstruction.
Area of Science:
- Gastroenterology
- Esophageal Motility Disorders
- Diagnostic Imaging
Background:
- Achalasia is an esophageal motility disorder defined by absent peristalsis and elevated, non-relaxing lower esophageal sphincter pressure.
- High-resolution manometry (HRM) is a key diagnostic tool for esophageal disorders, often utilizing automated software for interpretation.
- Automated HRM interpretation software may overlook specific diagnostic criteria, potentially leading to misdiagnosis.
Observation:
- Two patients with achalasia were initially misdiagnosed.
- Misdiagnosis occurred due to automated HRM software interpretation.
- The software incorrectly identified achalasia as nonachalasia esophagogastric junction outflow obstruction.
Findings:
- Automated HRM analysis can lead to diagnostic errors in achalasia.
- Software interpretation may miss nuances in HRM data.
- Manual clinical review is essential for accurate achalasia diagnosis.
Implications:
- Clinicians must critically evaluate automated HRM results.
- Over-reliance on software can compromise patient diagnosis and care.
- Expert manual interpretation of HRM is vital for esophageal motility disorders.
