[Interest of imaging for the monitoring of a treated cancer: simplified use of likelyhood ratio. The example of soft tissue tumor].
Systematic follow-up of patients after initial treatment of cancer is stressful with heavy cost. The aim of such follow-up is to detect asymptomatic lesions in viewing to increase global survival and quality of life. For an individual patient, the issue of cancer recurrence is a binary event. However, when developing surveillance strategies for large groups of patients, knowledge of the risks (tumor biology, natural history of the disease), the benefits (potential efficacy of salvage therapy) and diagnosis test performances is necessary to formulate a rationale and resource effective follow-up algorithm. The Bayes'nomogram is useful to assess diagnosis test. Soft tissue sarcoma is a example of such demonstration.
Taieb
Sophie
S
Département d'imagerie, Centre régional de lutte contre le cancer, Oscar-Lambret, 3, rue Frédéric-, Combemale, BP 309 59020, Lille Cedex. taieb@o-lambret.fr
Penel
Nicolas
N
Ceugnart
Luc
L
D001499:Bayes Theorem; D005500:Follow-Up Studies; D006801:Humans; D016013:Likelihood Functions; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000556:secondary; D008279:Magnetic Resonance Imaging; D008991:Monitoring, Physiologic; D009364:Neoplasm Recurrence, Local / Q000175:diagnosis* / Q000628:therapy; D009369:Neoplasms / Q000628:therapy; D019990:Perioperative Care; D011336:Probability; D012307:Risk Factors; D012509:Sarcoma / Q000175:diagnosis* / Q000556:secondary