Surgically defined prognostic parameters in patients with early cervical carcinoma : A multivariate survival tree analysis.
This study was performed to identify a statistical combination of independent pathologic and clinical features that best predict 5-year disease free survival (DFS) in patients with early stage cervical carcinoma treated by radical hysterectomy.
The main goal of the study was to identify subsets of patients based on risk factors with maximal differences in DFS.
Three hundred and seventy patients were found for whom complete clinical and pathologic material, including cone and cervical biopsies, were available for analysis.
Variables studied included age, weight, race, marital status, economic status, tumor size (TS), depth of invasion (DI), lymph-vascular space involvement (LVSI), cell type, tumor grade, lymph node metastasis (LNM), and number of lymph nodes removed.
Patients with LNM, parametrial involvement, and positive or close surgical margins were offered postoperative radiation.
After excluding patients with microinvasive and small cell carcinoma, data from the remaining 301 patients were submitted to univariate and multivariate analyses to define those variables that best predict DFS.
Univariate analysis showed that, ranked by degree of significance, DI, TS, LVSI, LNM, tumor volume (TV) and clinical stage were significant in predicting survival.
Significant (P<0.05) single parameters and other variables considered important were chosen for multivariate analysis, including the creation of a survival tree. (...)
Mots-clés Pascal : Carcinome, Col utérus, Femelle, Homme, Facteur risque, Pronostic, Survie, Epidémiologie, Hystérectomie, Stade précoce, Méthodologie, Appareil génital femelle pathologie, Col utérus pathologie, Tumeur maligne, Chirurgie
Mots-clés Pascal anglais : Carcinoma, Uterine cervix, Female, Human, Risk factor, Prognosis, Survival, Epidemiology, Hysterectomy, Early stage, Methodology, Female genital diseases, Uterine cervix diseases, Malignant tumor, Surgery
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0469719
Code Inist : 002B20C02. Création : 10/04/1997.