title: Multivariate analysis of the morphometric characteristics of tumours as prognostic factors in the survival of patients with uterine cervix cancer treated with radical surgery.
abstract: OBJECTIVE
  To analyse the influence of tumour size and anatomopathological characteristics in the prognosis of patients with early-stage cancer of the uterine cervix treated with radical surgery.
  
  
  METHODS
  A historical study of 114 patients treated at the Maternity Hospital "La Fe" in Valencia was undertaken during the period 1971-1989. The influence of the principal risk factors on prognosis were studied and their effect adjusted using a multivariate analysis based on the Cox proportional hazards model.
  
  
  RESULTS
  A greater dimension of the tumour, tumour area, tumour volume, tumour-cervix quotient and stromal invasion depth all have a highly significant and negative correlation with survival and disease-free survival intervals. In the multivariate analysis, tumour volume and stromal invasion depth maintained their significance as indicators of an adverse prognosis regarding the disease-free survival interval, as did the stromal invasion depth in the case of survival.
  
  
  CONCLUSIONS
  The most important prognostic factor in the evolution of patients with a cervical carcinoma is the stromal invasion depth followed by tumour size.
authors.affiliation: Service of Gynaecological Oncology, Department of Gynaecology, La Fe University Hospital, Valencia, Spain. mm-loeches@coma.es
authors.forename: Mariano
authors.initials: M
authors.lastname: Martin-Loeches
authors.forename: Rafael M
authors.initials: RM
authors.lastname: Ortí
authors.forename: Eduardo
authors.initials: E
authors.lastname: Cazorla
authors.forename: Enrique
authors.initials: E
authors.lastname: Asins
authors.forename: Joaquin
authors.initials: J
authors.lastname: Llixiona
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D008875:Middle Aged; D011379:Prognosis; D016016:Proportional Hazards Models; D012044:Regression Analysis; D015996:Survival Rate; D014594:Uterine Neoplasms / Q000401:mortality / Q000473:pathology* / Q000601:surgery*