Keywords: Digestive, Digestive, Stomach, Gastroparesis, Diabetes, Personalized Diagnosis
Motivation: Gastroparesis patients have diverse underlying pathophysiology but present overlapping symptoms, complicating effective diagnosis and treatment.
Goal(s): This study aims to demonstrate how surface modeling of dynamic contrast-enhanced MRI can provide non-invasive and individualized diagnosis of gastroparesis.
Approach: Gastroparesis patients and healthy controls consumed a manganese-enriched test meal with natural ingredients. During digestion, T1-weighted MRI captured dynamic images of the stomach every 3 s. Surface modeling captured stomach wall motion, providing individualized dysmotility phenotypes relative to healthy controls.
Results: Our results revealed diverse patterns of gastric dysmotility in terms of amplitude, frequency, and propagation of muscle contractions among patients with different and similar etiology.
Impact: Our novel MRI-based technique enables precise quantification of gastric motor dysfunctions, providing a non-invasive tool for individualized and evidence-based diagnosis of gastroparesis to inform tailored treatment for potentially better patient outcomes.
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