Abstract
Lung cancer is a life-threatening disease that requires early detection for effective treatment. Positron emission tomography (PET) imaging has been instrumental in diagnosing and monitoring lung cancer, but it has some limitations. To overcome these limitations, the four-compartment model has been developed, which provides a more accurate representation of the cancer's metabolic activity. This model incorporates the vascular volume and tracer delivery rate into the traditional two-compartment model, resulting in improved diagnostic accuracy and treatment planning. Recent studies have shown that the four-compartment model outperforms conventional PET scans in predicting tumor response to treatment and differentiating between active and inactive cancer cells. The four-compartment model holds great promise in revolutionizing the diagnosis and monitoring of lung cancer, offering improved outcomes and renewed hope for patients worldwide. Keywords: Lung cancer, PET imaging, four-compartment model, metabolic activity, diagnosis, monitoring, limitations, vascular volume, tracer delivery rate, accuracy, treatment planning, tumor response, active cancer cells.
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