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A prospective study of an artificial intelligence diagnosis assistant system for lymph node lesions based on CT images of the head and neck

A prospective study of an artificial intelligence diagnosis assistant system for lymph node lesions based on CT images of the head and neck

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036740
Enrollment
Unknown
Registered
2020-08-25
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-09-21

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

Conditions

Head and neck lymph node metastasis

Interventions

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Sponsors

The Ninth People's Hospital Affiliated to Shanghai Jiaotong University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: The age is over 18 years old; there are pre-operative CT enhancement examinations of maxillofacial area in our hospital, with complete image data; the imaging examination time and operation time should not exceed 1 week.

Exclusion criteria

Exclusion criteria: Poor image quality, incomplete clinical history; patients who have previously received radiotherapy or chemotherapy for the head and neck.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;Accuracy;AUC of ROC;

Countries

China

Contacts

Public ContactZhu Ling

The Ninth People's Hospital Affiliated to Shanghai Jiaotong University

puxuke12@126.com+86 17701805676

Outcome results

None listed

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