title: [Diagnosis and prognosis of ovarian epithelial tumor with morphometry].
abstract: OBJECTIVE
  Morphometry for diagnosis and prognosis of tumor becomes important. This study was designed to evaluate the efficiency of morphometry for diagnosis and prognosis of the patients with ovarian epithelial tumor.
  
  
  METHODS
  A total of 110 patients with ovarian epithelial tumor were studied by three morphometrical methods (image analysis, determination of DNA content, and quantitative analysis of AgNOR). Nuclear area (NA), nuclear perimeter (NP), nuclear form factor (NFF), DNA content (DC), DNA index (DI), percentage of DNA multiploid (P > 4c), and percentage of G0/G1 phases (P2c) were determined by morphometrical instrument. AgNOR was counted under light microscope.
  
  
  RESULTS
  (1) The results in these three groups of benign, borderline, and malignant ovarian epithelial tumors: the differences of all parameters (NA, NP, NFF, DC, DI, AgNOR counts) among these groups have a extremely significant statistical difference (P < 0.01 and P < 0.001). (2) A study on prognosis: NA, NP, and NFF between two groups of patients (survival > or = 5 years and < 5 years) with ovarian epithelial carcinoma have a significant difference(P < 0.05 and P < 0.01), this means different results of image analysis indicate different survival. AgNOR counts have a close correlation with month of the survivors (r = -0.73, P < 0.001). The P > 4c had a relation to month of survivors (r = -0.75, P < 0.001).
  
  
  CONCLUSIONS
  Morphometry can provide reliable parameters for diagnosis and prognosis of the patients with different kinds of ovarian epithelial tumors.
authors.affiliation: Tongji Hospital, Tongji Medical College, Huazhong Science and Technology University, Wuhan 430030, P. R. China.
authors.forename: Tie-jun
authors.initials: TJ
authors.lastname: Yin
authors.forename: Mei-jiao
authors.initials: MJ
authors.lastname: Gu
mesh_terms: D005260:Female; D006801:Humans; D009375:Neoplasms, Glandular and Epithelial / Q000175:diagnosis* / Q000401:mortality / Q000473:pathology; D010051:Ovarian Neoplasms / Q000175:diagnosis* / Q000401:mortality / Q000473:pathology; D011379:Prognosis