Combined Gastric Emptying Monitoring for Accurate Disorder Classification
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Solution Overview
Problem
Current gastric emptying scintigraphy methods provide partial information leading to misdiagnosis and incomplete classification of gastric emptying disorders, resulting in inappropriate therapies.
Innovation Solution
A system that combines scintigraphic and glucometric data to monitor gastric emptying and blood glucose levels, using a computer system to generate graphical interfaces and alerts for accurate classification into twelve different gastric emptying categories, including dyspeptic disorders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scintigraphic measurement alone is used to assess gastric emptying, then the measurement process is simple, but the diagnosis is incomplete and leads to misclassification of gastric emptying disorders
Solution Approach 1:
The patent combines scintigraphic measurement equipment with glucometric measurement equipment into an integrated system. The scintigraphic equipment tracks radiolabeled solid meal components while the glucometric equipment simultaneously monitors blood glucose levels, providing comprehensive data for accurate gastric emptying classification without requiring separate diagnostic procedures
Solution Approach 2:
The computer system performs multiple functions: it processes scintigraphic data to assess solid gastric emptying, analyzes glucometric data to determine carbohydrate gastric emptying, compares both against control values, and generates comprehensive classification. This multi-functional approach eliminates the need for separate diagnostic systems while improving measurement precision
2Loss of information
If only standardized solid radiolabeled egg-white gastric emptying study is performed, then the study protocol is simple and widely adopted, but it provides partial information leading to misdiagnosis
Solution Approach 1:
The patent segments gastric emptying assessment into two distinct components: solid gastric emptying (measured by scintigraphic tracking of radiolabeled egg-white) and carbohydrate gastric emptying (measured by glucometric monitoring of blood glucose). This segmentation allows each component to be measured independently and comprehensively, preventing information loss while maintaining diagnostic efficiency through automated integration
3Reliability
If current GES methods are used, then the measurement process is quick, but the classification of gastric emptying disorders is incomplete
Solution Approach 1:
The computer system continuously compares both scintigraphic and glucometric measurements against stored control values, providing real-time feedback on gastric emptying status. This feedback mechanism enables accurate classification into twelve distinct gastric emptying categories by identifying deviations from normal patterns in both solid and carbohydrate emptying
Solution Approach 2:
The diagnostic approach uses composite information from two different measurement modalities (scintigraphic imaging and glucometric sensing) to create a comprehensive classification system. This composite approach improves reliability by cross-validating findings across multiple measurement types while the computer system manages complexity through automated data integration
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides accurate diagnosis and classification of gastric emptying disorders, reducing misdiagnosis and patient discomfort, improving therapy efficiency, and enhancing hospital resource utilization.
Implementation Method 1
a scintigraphic measurement equipment configured to measure, from a subject that has ingested at a set time point a meal comprising carbohydrate and radiolabeled protein, scintigraphic data of the subject's solid gastric emptying rate
Implementation Method 2
a glucometric measurement equipment configured to measure, from the subject, glucometric data of the subject's blood glucose level
Data Source
AI summary
Systems and methods are provided for providing improved information, diagnoses and therapies for dyspepsia and gastric emptying disorders based on gastric protein emptying and gastric carbohydrate emptying data.