A Deep Learning Approach to Identify Patients With Full Stomach on Ultrasonography
NCT ID: NCT05846607
Last Updated: 2023-05-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
800 participants
INTERVENTIONAL
2023-04-26
2023-09-15
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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experiment
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.
Intervention oral supplement
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.
Interventions
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Intervention oral supplement
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.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
80 Years
ALL
No
Sponsors
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Huashan Hospital
OTHER
Responsible Party
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le tian wang
Doctor
Principal Investigators
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Le tian Wang, MD
Role: PRINCIPAL_INVESTIGATOR
Fudan University affiliated Huashan Hospital
Locations
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Fudan University affiliated Huashan Hospital
Shanghai, , China
Countries
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Central Contacts
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Facility Contacts
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Le tian Wang
Role: primary
Other Identifiers
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2023-491
Identifier Type: -
Identifier Source: org_study_id
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