Every year, countless individuals are diagnosed with cancer, with radiation therapy being one of the most common treatment options. Initially, patients undergo CT-simulation, which provides critical anatomical information about the tumour and surrounding organs. Based on these CT images, treatment plans are created for the linear accelerator to target and treat the cancer effectively. The integration of the DirectDensity® algorithm into CT-simulation has the potential to greatly improve both patient care and hospital efficiency. This algorithm could enable the use of a single calibration curve, allowing for personalized tube voltage adjustments based on individual patient characteristics. As a result, radiation doses can be either maintained or reduced while ensuring the same image quality. This would benefit patient safety and promote better long-term health outcomes. Furthermore, adopting a single calibration curve could streamline the workflow in radiation therapy departments. With a more robust system in place, healthcare professionals are less likely to make errors when selecting the appropriate curve, thus reducing the chances of complications and improving the efficiency of medical staff.