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Synthetic PET From CT Improves Precision Diagnosis and Treatment of Lung Cancer: a Prospective, Observational, Multicenter Study
RECRUITINGSponsored by Shanghai Pulmonary Hospital, Shanghai, China
Actively Recruiting
SponsorShanghai Pulmonary Hospital, Shanghai, China
Started2025-12-01
Est. completion2026-06-01
Eligibility
Age18 Years – 85 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →
NCT07243873
Summary
This study aims to synthesise PET data that preserves biological relevance and adds clinical value to the diagnosis and prognosis of lung cancer by establishing anatomical-to-metabolic mapping based on paired diagnostic CT and FDG-PET scans, thereby prospectively validating the clinical utility of the model.
Eligibility
Age: 18 Years – 85 YearsHealthy volunteers accepted
Inclusion Criteria: 1. Patients with non-small cell lung cancer scheduled to undergo PET-CT and pathological examinations; 2. Voluntarily participate and sign an informed consent form; Exclusion Criteria: 1. History of other malignant tumours; 2. Image artefacts; 3. Without pathological diagnostic information; 4. Without paired CT and FDG-PET scan images.
Conditions3
CancerLung CancerPET-CT
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Actively Recruiting
SponsorShanghai Pulmonary Hospital, Shanghai, China
Started2025-12-01
Est. completion2026-06-01
Eligibility
Age18 Years – 85 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →
NCT07243873