Several factors contribute to image variability in cancer diagnostics:
1. Patient-specific Factors: Variability can arise due to differences in patient anatomy, tumor characteristics, and biological responses. For instance, the size, shape, and composition of a tumor can vary greatly among individuals. 2. Imaging Techniques: Different imaging modalities (e.g., MRI, CT, PET) and protocols can produce varying results. The choice of contrast agents, scanner settings, and timing of image acquisition also play a role. 3. Technical Factors: Machine calibration, image reconstruction algorithms, and software used for image processing can introduce variability. 4. Human Factors: Variability in interpretation by radiologists due to subjective assessment and experience levels.
