The Challenge of Mediastinal Staging
Lung cancer staging is a crucial step in both correct prognosis and therapy. Mediastinal staging in particular is usually accomplished using imaging techniques such as computed tomography and 18Fglucose positron-emission tomography, minimally invasive techniques, i.e. transbronchial needle aspiration with or without ultrasound guidance (endobronchial ultrasound) and transoesophageal ultrasound-guided fine needle aspiration and surgical procedures, i.e. mediastinoscopy, thoracoscopy. Each of these techniques has its own sensitivities, specificities and predictive values that must be thoroughly considered within the staging route, with the aim of achieving the best result with the least resource consumption and the least discomfort to the patient; the correct evaluation of a negative result on the basis of its predictive value is essential as well. In this article we suggest a mathematical model that can predict the probability of nodal metastasis after a certain number of diagnostic procedures has been performed, providing an objective way of evaluating whether a patient is fit for surgery or, conversely, whether further investigations are required.