Skip to content

The Intelligent Diagnosis Product Solution and Demonstrative Application for Lung Cancer Based on Next-Generation Artificial Intelligence Technology——A Retrospective, Multicenter, Multi-Reader, Multiple-Case (MRMC), Clinical Trial with a Paired Study Design to Evaluate an Assistive Diagnostic Software for Classification of Benign and Malignant Pulmonary Nodules in CT images

The Intelligent Diagnosis Product Solution and Demonstrative Application for Lung Cancer Based on Next-Generation Artificial Intelligence Technology——A Retrospective, Multicenter, Multi-Reader, Multiple-Case (MRMC), Clinical Trial with a Paired Study Design to Evaluate an Assistive Diagnostic Software for Classification of Benign and Malignant Pulmonary Nodules in CT images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400084624
Enrollment
Unknown
Registered
2024-05-21
Start date
2022-11-01
Completion date
Unknown
Last updated
2025-02-10

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

Conditions

Pulmonary nodule

Interventions

Gold Standard:The clinical pathological diagnosis results of pulmonary nodules
Index test:Test group: CT readings conducted jointly by radiologists using AI-assisted diagnostic software Control group: CT readings conducted independently by radiologists

Sponsors

Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College; Peking University People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >=18 years, regardless of gender; 2. Pulmonary nodules detected on chest CT, with corresponding pathological reports and/or surgical records that accurately locate the nodules with pathological results on CT images; 3. The CT scan must be the most recent one before surgery, with a time interval of no more than one month; 4. Pulmonary nodules on chest CT must be >=4 mm and =16.

Exclusion criteria

Exclusion criteria: 1. If no nodules on a pathological report can be accurately located on the CT scan, the case will be excluded; 2. Incomplete chest CT scan range; CT images taken after surgery or biopsy; poor image quality with severe metal or respiratory artifacts affecting the reading; 3. Clinically diagnosed metastatic lesions; 4. Participants deemed unsuitable by the investigator.

Design outcomes

Primary

MeasureTime frame
ROC-AUC (paricipants level);

Secondary

MeasureTime frame
ROC-AUC (nodule level);The sensitivity, specificity, and accuracy (at the nodule level) of malignancy determination for pulmonary nodules in the test group and the control group;The sensitivity, specificity, and accuracy (at the participant level) of malignancy determination for pulmonary nodules in the experimental group and the control group;The sensitivity and specificity (at the nodule level) of the software in determining the malignancy of pulmonary nodules in the subjects;The accuracy of the software in determining the location of pulmonary nodules (at the nodule level);The accuracy of the software in determining the density of pulmonary nodules (nodule level);Subjective evaluation of software functionality;Subjective evaluation of software usability;

Countries

China

Contacts

Public ContactZhengyu Jin; Nan Hong

Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College; Peking University People's Hospital

jinzy@pumch.cn+86 10 6915 9553

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 24, 2026