Synthetic PET scans derived from CT imaging offer promising advance in the diagnosis and prognosis of lung cancer
While positron emission tomography (PET) scans are highly effective in detecting lung cancer, their accessibility is limited, especially in low-income regions. To address this issue, researchers led by Jia Wu, Ph.D., Jianjun Zhang, M.D., Ph.D., and Carol Wu, M.D., leveraged deep learning techniques to generate synthetic PET scans from more widely available computed tomography (CT) scans. Radiologists validated the imaging quality and tumor contrast between the synthetic and actual PET images, and the researchers demonstrated the superior diagnostic...