FindTrial
Sign In

Development of malignant risk assessment software for pulmonary nodules based on artificial neural network and CT texture analysis

Development of malignant risk assessment software for pulmonary nodules based on artificial neural network and CT texture analysis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800018093
Enrollment
Unknown
Registered
2018-08-29
Start date
2018-09-01
Completion date
Unknown
Last updated
2018-09-03

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

Conditions

early-stage lung cancer

Interventions

Gold Standard:Pathology
Index test:artificial&#32
neural&#32
network

Sponsors

Shanghai Pulmonary Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
19 Years to 79 Years

Inclusion criteria

Inclusion criteria: 1. Patients with pulmonary nodules undergoing surgical resection; 2. The preoperative mass is a single nodule; 3. The maximum diameter is less than or equal to 3cm.

Exclusion criteria

Exclusion criteria: 1. multiple nodules in the lung; 2. No preoperative CT raw data; 3. postoperative pathology is considered to be metastatic tumor; 4. combined with other malignant tumors or patients with blood diseases

Design outcomes

Primary

MeasureTime frame
Accuracy of Software diagnose of malignant nodules;—

Secondary

MeasureTime frame
Software for diagnosing the sensitivity and specificity of malignant nodules;—

Countries

China

Contacts

Public ContactDong Xie

Shanghai Pulmonary Hospital

kongdu@163.com+86 13917810850

Outcome results

None listed

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