title: The use of computer image analyses in the assessment of chosen histoclinical features of nephroblastoma cells in children.
abstract: The goal of the research was to assess the nuclear morphometric discriminant function (MV(f)) in the analyzed group of nephroblastomas and to evaluate its potential prognostic value. We found a statistically important correlation between favourable histology of Wilms' tumours (according to SIOP 93-01 and SIOP 2001 classifications of kidney tumours of childhood) and low values of MV(f) discriminant function, which was also associated with the best prognosis for the patients. We believe that MV(f) assessment may be a helpful tool in making prognosis in doubtful cases of nephroblastomas in children.
authors.affiliation: Department of Pathology of the Age of Development, Konopnicka Memorial Hospital, Medical University of Łódź.
authors.forename: Józef
authors.initials: J
authors.lastname: Kobos
authors.forename: Piotr
authors.initials: P
authors.lastname: Dembski
authors.forename: Katarzyna
authors.initials: K
authors.lastname: Taran
mesh_terms: D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007223:Infant; D007231:Infant, Newborn; D007680:Kidney Neoplasms / Q000145:classification / Q000175:diagnosis*; D008297:Male; D009396:Wilms Tumor / Q000145:classification / Q000473:pathology*