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A medical records based study for analysis of risk factors of pathological upgrade in gastric neoplasm after ESD and establishment of artificial intelligence prediction model

Analysis of risk factors of pathological upgrading after gastric ESD and establishment of artificial intelligence prediction model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100048088
Enrollment
Unknown
Registered
2021-06-30
Start date
2021-07-01
Completion date
Unknown
Last updated
2022-03-07

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

Conditions

Early gastric cancer

Interventions

Case series:Nil

Sponsors

The First Affiliated Hospital of Nanjing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Aged 20 to 85 years; 2. Pathological diagnosis of intraepithelial neoplasia or early gastric cancer after ESD; 3. Patients who received endoscopic submucosal dissection between December 1, 2017 and December 31, 2020 and were histologically diagnosed as early gastric neoplasia (EGN).

Exclusion criteria

Exclusion criteria: 1. With a history of gastrectomy or gastric tube reconstruction; 2. The endoscopic image of the lesion site is not clear enough; 3. Missing clinical or endoscopic data.

Design outcomes

Primary

MeasureTime frame
Pathological upgrade;—

Countries

China

Contacts

Public ContactZhang Guoxin

The First Affiliated Hospital of Nanjing Medical University

guoxinz@njmu.edu.cn+86 13951913128

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026