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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

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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