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Synthetic PET From CT Improves Precision Diagnosis and Treatment of Lung Cancer: a Prospective, Observational, Multicenter Study

Synthetic PET From CT Improves Precision Diagnosis and Treatment of Lung Cancer: a Prospective, Observational, Multicenter Study

Recruiting
18-85 years
All
Phase N/A
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  • Simplified (AI rewritten)

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Overview

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

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.

Study details
    Lung Cancer
    PET-CT

NCT07243873

Shanghai Pulmonary Hospital, Shanghai, China

1 February 2026

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