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Application of high-resolution MRI based on deep neural network in identifying extramural vascular invasion of rectal cancer

Application of high-resolution MRI based on deep neural network in identifying extramural vascular invasion of rectal cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800020393
Enrollment
Unknown
Registered
2018-12-28
Start date
2018-12-27
Completion date
Unknown
Last updated
2019-01-14

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:high-resolution magnetic resonance (HR MRI) images
Index test:The&#32
deep&#32
neural&#32
network&#32
system

Sponsors

Affiliated Hospital of Qiingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Examination by electronic colonoscopy and histopathological examination confirmed rectal cancer; 2. Patients can tolerate MRI without associated contraindications; 3. Resistant to radical surgery for rectal cancer; 4. Informed consent of patients and their families.

Exclusion criteria

Exclusion criteria: 1. Poor overall condition, can not tolerate MRI examination and surgery; 2. Renal insufficiency or metal inclusion in the body cannot be MRI; 3. Unable to tolerate radical resection of rectal cancer; 4. neoadjuvant treatment in high resolution MRI; 5. There is distant metastasis (liver, kidney, bone, brain).

Design outcomes

Primary

MeasureTime frame
Extramural Vascular Invasion;SEN, SPE, ACC, ROC AUC;—

Countries

China

Contacts

Public ContactLu Yun

Affiliated Hospital of Qiingdao University

cloudylucn@126.com+86 18661802231

Outcome results

None listed

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