Potential of Automatic Diagnosis System with Image Enhanced Endoscopy for Diagnosis of Helicobacter. Pylori Infection

Potential of Automatic Diagnosis System with Image Enhanced Endoscopy for Diagnosis of Helicobacter. Pylori Infection - AI with LCI for diagnose HP infection

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000036124

Enrollment

100

Registered

2019-03-08

Start date

2017-01-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Gastritis

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: we used five LCI images per case, which were taken from lesser curvature (angle-lower body and middle-upper body) and greater curvature (angle-lower body and middle-upper body) and fornix.

Exclusion criteria

Exclusion criteria: We excluded patients who were not checked H.p. infection by more than two examination or who have mucosal atrophy but did not have a history of H.p. eradication (thought to be spontaneous eradication) and who were not taken from all five view.

Design outcomes

Primary

Measure	Time frame
The aims of this study are to construct a novel automatic diagnostic system for HP infection using a Support vector machine (SVM) .	—

Countries

Japan

Contacts

Public ContactYagi Nobuaki

Asahi University Hospital Gastroenterology

t-yasuda@koto.kpu-m.ac.jp058-253-8001

Outcome results