title: Computer-assisted image analysis can aid the prognostication of advanced-stage neuroblastomas.
abstract: OBJECTIVE
  The aim of this work was to detect nuclear parameters related to the prognosis of patients with stage III, IV or DS neuroblastomas.
  
  
  METHODS
  Histological sections of 25 operation specimens obtained from children with advanced-stage neuroblastomas were subjected to computer-assisted image analysis. Statistical relationships between nuclear descriptors of the tumor cells and patients' clinical outcome were determined.
  
  
  RESULTS
  The coefficient of variability of the mean nuclear area the mean nuclear elongation factor, and the mean nuclear averaged Feret diameter of the neuroblastoma cells were ascertained to be discriminators separating high-grade from low-grade tumors.
  
  
  CONCLUSIONS
  The histomorphometrically gauged nuclear parameters may help oncologists to assess the prognosis of patients with advanced-stage neuroblastoma.
authors.affiliation: Department of Pediatric Surgery, Bnai-Zion Medical Center, Haifa, Israel.
authors.forename: J G
authors.initials: JG
authors.lastname: Mogilner
authors.forename: S
authors.initials: S
authors.lastname: Eldar
authors.forename: E
authors.initials: E
authors.lastname: Sabo
authors.forename: M
authors.initials: M
authors.lastname: Hassoun
authors.forename: D
authors.initials: D
authors.lastname: Attias
authors.forename: A
authors.initials: A
authors.lastname: Brodski
authors.forename: M
authors.initials: M
authors.lastname: Ben Harush
authors.forename: A
authors.initials: A
authors.lastname: Kuten
authors.forename: Z
authors.initials: Z
authors.lastname: Steiner
authors.forename: I
authors.initials: I
authors.lastname: Misselevich
authors.forename: J
authors.initials: J
authors.lastname: Bejar
authors.forename: D
authors.initials: D
authors.lastname: Ben Yizhak
authors.forename: V
authors.initials: V
authors.lastname: Kerner
authors.forename: R
authors.initials: R
authors.lastname: Laor
authors.forename: J H
authors.initials: JH
authors.lastname: Boss
mesh_terms: D000310:Adrenal Gland Neoplasms / Q000401:mortality* / Q000473:pathology*; D000367:Age Factors; D002648:Child; D002675:Child, Preschool; D018572:Disease-Free Survival; D005260:Female; D006258:Head and Neck Neoplasms / Q000401:mortality / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000592:standards*; D007223:Infant; D007231:Infant, Newborn; D007557:Israel / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008479:Mediastinal Neoplasms / Q000401:mortality / Q000473:pathology; D009447:Neuroblastoma / Q000401:mortality* / Q000473:pathology*; D010386:Pelvic Neoplasms / Q000401:mortality / Q000473:pathology; D011237:Predictive Value of Tests; D011379:Prognosis; D012186:Retroperitoneal Neoplasms / Q000401:mortality / Q000473:pathology; D016019:Survival Analysis