Image variability can affect cancer diagnosis in several ways:
1. False Positives/Negatives: Variability can lead to misinterpretation, resulting in false-positive or false-negative findings. A false positive might lead to unnecessary biopsies, while a false negative can delay diagnosis and treatment. 2. Staging and Grading: Accurate staging and grading of cancer are crucial for treatment planning. Variability can lead to incorrect staging, affecting the choice of therapy and prognosis. 3. Monitoring Response to Treatment: Assessing tumor response to treatment relies heavily on imaging. Variability can hinder the accurate measurement of tumor size and progression, impacting treatment decisions.
