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Prospective diagnostic trial of an artificial intelligence-assisted diagnostic system for common pediatric abdominal tumors based on CT imaging

Prospective diagnostic trial of an artificial intelligence-assisted diagnostic system for common pediatric abdominal tumors based on CT imaging

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400088224
Enrollment
Unknown
Registered
2024-08-13
Start date
2024-08-20
Completion date
Unknown
Last updated
2024-08-19

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

Conditions

abdominal tumors

Interventions

Gold Standard:The reference diagnostic criteria for the results of this study are pathological diagnosis, with the following priority reference order: ?Surgical large specimen routine pathology + immu
?Surgical large specimen routine pathology
?Percutaneous biopsy pathology
?Cytological examination. If there is no clear pathological diagnosis conclusion and there is a clear abdominal mass, the reference diagnostic criteria for excluding cancer after CT examination and si
Index test:Deep Learning-Based Classification System for Pediatric Abdominal Lesions on CT Images

Sponsors

The Affiliated Hospital of Qingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 16 Years

Inclusion criteria

Inclusion criteria: 1.under the age of 16 years old 2.Tumor group: Patients with abdominal tumors who have a definite pathological diagnosis within 90 days before or 30 days after CT scanning, or Patients who have been ruled out as malignancies through follow-up with confirmation of abdominal tumor in CT examination Non-tumor group: During regular physical examination, no definite cancer was found in the whole body. It may include pre-cancerous lesions/disease states

Exclusion criteria

Exclusion criteria: 1. Patients with a history of abdominal surgery or treatment for abdominal tumors. 2. Patients with other diseases or conditions that the physician believes are not suitable for participating in this study. 3. Those who refuse to provide informed consent.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;Accuracy rate;

Secondary

MeasureTime frame
Receiver Operating Characteristic Curve;Positive Predictive Value, Negative Predictive Value;Confusion Matrix;

Countries

China

Contacts

Public ContactHao Xiwei

The Affiliated Hospital of Qingdao University

hxw972@qdu.edu.cn+86 178 5329 6227

Outcome results

None listed

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