Prospective Clinical Study for Pelvic Lymph Node Automatic Recognition System Based on Deep Neural Network

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR1900023255

Enrollment

Unknown

Registered

2019-05-18

Start date

2019-09-01

Completion date

Unknown

Last updated

2019-05-20

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

Conditions

rectal cancer

Interventions

Gold Standard:Postoperative pathological results

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diagnostic&#32

image

2.Traditional&#32

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diagnosis

Eligibility

Sex/Gender

All

Age

40 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Rectal cancer patients aged 40-70 years old; 2. The patient has undergone high-resolution MRI; 3. The patient was diagnosed and treated for the first time without surgery, radiotherapy and chemotherapy. 4. signed inform consent

Exclusion criteria

Exclusion criteria: 1. Combined with diabetes, rheumatic immune diseases, serious heart, brain, kidney and other systemic diseases 2. Imaging confirmed pelvic organ anisotropy 3. Been conducted other pelvic surgery

Design outcomes

Primary

Measure	Time frame
Postoperative pathological results;SEN, SPE, ACC, AUC of ROC;	—

Secondary

Measure	Time frame
Quality of life after treatment;Clinical prognosis;lifetime;	—

Countries

China

Contacts

Public ContactLu Yun

Affiliated Hospital of Qingdao University

cloudylucn@126.com+86 18661802231

Outcome results

None listed

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