Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos

Recruiting

• Conditions: Artificial Intelligence; Lung Nodule

• Registration Number: NCT07098884
• Lead Sponsor: Anhui Provincial Hospital

Brief Summary

The current study aims to develop and validate a deep learning signature for diagnosing pathology and predicting prognosis of lung nodule using smartphone photos of resected tumor specimens.

Detailed Description

Not available

Study Timeline

• Study Start: 2025-06-01
• Status Verified: 2025-07
• Study First Submitted: 2025-07-03
• Study First Submitted QC: 2025-07-30
• Last Update Submitted: 2025-07-30
• Study First Posted: 2025-08-01
• Last Update Posted: 2025-08-01
• Primary Completion: 2025-10-30
• Study Completion: 2025-10-30

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 600

Inclusion Criteria

(1) Participants scheduled for surgery for radiological finding of pulmonary lesions from the preoperative thin-section CT scans; (2) Age ranging from 20-75 years.

Exclusion Criteria

(1) Participants with incomplete clinical information; (2) Participants who have received anti-tumor therapy.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Area under the receiver operating characteristic curve	From enrollment to the end of the study, assessed up to 6 months

Trial Locations

Locations (3)

Anhui Provincial Hospital; 🇨🇳 Hefei, Anhui, China

The First Affiliated Hospital of Soochow University; 🇨🇳 Suzhou, Jiangsu, China

Ningbo First Hospital; 🇨🇳 Ningbo, Zhejiang, China