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Artificial intelligence based on ultrasound in superficial lymph nodes

Application of artificial intelligence based on ultrasound in superficial lymph nodes

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300073860
Enrollment
Unknown
Registered
2023-07-24
Start date
2023-03-01
Completion date
Unknown
Last updated
2023-07-30

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

Conditions

Lympholopathy

Interventions

Gold Standard:1) The results of puncture biopsy or surgical pathology
2) Clinical diagnosis+follow up
Index test:Artificial intelligence based on ultrasound

Sponsors

the seventh affiliated hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
1 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1) patients: enlarged lymph nodes (tumor patients waiting for biopsy or surgery, suspected lymphadenitis) ; 2) healthy people: known healthy people, excluding tumor history

Exclusion criteria

Exclusion criteria: 1) failed or unqualified ultrasound image storage; 2) the final diagnosis is not clear (there is no gold standard such as puncture pathological results or surgery, and the follow-up time is less than 6 months)

Design outcomes

Primary

MeasureTime frame
The area under the ROC curve;—

Secondary

MeasureTime frame
Positive predictive value;Negative predictive value;Sensitivity;Specificity;Accuracy;—

Countries

China

Contacts

Public ContactZuofeng Xu

The seventh affiliated Hospital of Sun Yat-sen University

xuzuofeng77@aliyun.com+86 755 8120 6581

Outcome results

None listed

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