A Deep Learning Approach to Identify Patients With Full Stomach on Ultrasonography

Study Overview
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Brief Summary
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Preoperative gastric ultrasonography is a newly developed tool used to evaluate gastric content and volume in assessing perioperative aspiration risk and guide anaesthetic management. And then build up effective clinical predictive models for identification of full stomach, which can predict the high aspiration risk.

Detailed Description
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Aspiration of gastric contents can be a serious anesthetic related complication. Preoperative fasting was a common practice to decrease perioperative aspiration risk. However，one of most important prescription of enhanced recovery after surgery protocols is the reduction of preoperative fasting time in opposition to the traditional recommendation of overnight fast. Gastric antral sonography prior to anesthesia may have a role in identifying patients at risk of aspiration. The aim of this study is to construct models using deep learning for identification of full stomach, which can predict the aspiration risk.

Official Title
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A Deep Learning Approach to Identify Patients With Full Stomach on Ultrasonography

Conditions
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Gastic Antrum

Intervention / Treatment
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* Dietary Supplement: Intervention oral supplement


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Patients undergoing surgery Age: 18 85 yeas ASA 1 3 Exclusion Criteria: -Diabetes mellitus Upper gastrointestinal pathology such as hiatus hernia, oesophageal cancer Prior surgery to upper GI On medication that may affect gastric emptying time Pregnancy

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 80 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Diagnostic
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: experiment<br>The data will be collected in two phases. Firstly, after a fasting period of eight hours, the participants received ultrasound scan by expert doctor with the objective of measuring the fasting gastric antrum area in supine and right lateral decubitus(RLD)position(phase 1).Then the expert made the grading according to the ultrasound image. In phase 2, the participant will ingest 0 to 400ml of the study drink described below randomly. The individual will be immediately positioned in the supine position and another ultrasound scan will be carried out. Again in the RLD position. | Dietary Supplement: Intervention oral supplement<br>* The oral supplement used as intervention for the study will be DongzheSutang(DAISY FSMP,Jiangsu,China). The formula contains only carbohydrate:12.5g in 100ml of product(glucose syrup and maltodextrin)，with a caloric density of 16.32kcal/g.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Diagnostic accuracy of the model |  | 1 year | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Deep learning，gastric antrum