Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept.

ABSTRACT: [¹⁸F]Fluorodeoxyglucose positron emission tomography (FDG-PET) and computed tomography (CT) are indispensable components in modern medicine. Although PET can provide additional diagnostic value, it is costly and not universally accessible, particularly in low-income countries. To bridge this gap, we have developed a conditional generative adversarial network pipeline that can produce FDG-PET from diagnostic CT scans based on multi-center multi-modal lung cancer datasets (n = 1,478). Synthetic PET images are validated across imaging, biological, and clinical aspects. Radiologists confirm comparable imaging quality and tumor contrast between synthetic and actual PET scans. Radiogenomics analysis further proves that the dysregulated cancer hallmark pathways of synthetic PET are con

SUBMITTER: Salehjahromi M 

PROVIDER: S-EPMC10983039 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature