Abstract |
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.
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Authors | Sophie Taieb, Nicolas Penel, Luc Ceugnart |
Journal | Bulletin du cancer
(Bull Cancer)
Vol. 93
Issue 12
Pg. 1201-6
(Dec 2006)
ISSN: 1769-6917 [Electronic] France |
Vernacular Title | Intérêt des examens d'imagerie pour la surveillance d'un cancer traité: utilisation simplifiée des rapports de vraisemblance. L'exemple des sarcomes des tissus mous de l'adulte. |
PMID | 17182376
(Publication Type: English Abstract, Journal Article)
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Topics |
- Bayes Theorem
- Follow-Up Studies
- Humans
- Likelihood Functions
- Lung Neoplasms
(diagnosis, secondary)
- Magnetic Resonance Imaging
- Monitoring, Physiologic
- Neoplasm Recurrence, Local
(diagnosis, therapy)
- Neoplasms
(therapy)
- Perioperative Care
- Probability
- Risk Factors
- Sarcoma
(diagnosis, secondary)
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