Prospective clinical study of automatic lymph node detection platform based on deep learning

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR1900023302

Enrollment

Unknown

Registered

2019-05-21

Start date

2019-09-01

Completion date

Unknown

Last updated

2019-05-27

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

Conditions

Gastric cancer

Interventions

Gold Standard:pathological diagnosis

Index test:1.Artificial&#32

intelligence&#32

diagnostic&#32

image

2.Traditional&#32

image&#32

diagnosis.

Eligibility

Sex/Gender

All

Age

40 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Gastric cancer patients aged 40-70 years old; 2. Has performed upper abdominal enhancement CT; 3. patient accepts first treatment without surgery, radiotherapy and chemotherapy.

Exclusion criteria

Exclusion criteria: 1. Combined with diabetes, rheumatic immune diseases, severe heart, brain and kidney systemic diseases; 2. The image confirms the presence of pelvic organ abnormalities; 3. receipted other pelvic surgery.

Design outcomes

Primary

Measure	Time frame
Postoperative pathological results;	—

Secondary

Measure	Time frame
Quality of life after treatment;Clinical prognosis;Lifetime;Postoperative complications;	—

Countries

China

Contacts

Public ContactLu Yun

Qingdao University Affiliated Hospital

cloudylucn@126.com+86 18661802231

Outcome results

None listed

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