title: Karyometric features of low and high grade glial tumors as compared with their MRI appearance.
abstract: OBJECTIVE
  To compare the results of a magnetic resonance imaging (MRI) grading designed to identify low and high grade gliomas with karyometry used as a tool to grade primary brain tumors.
  
  
  METHODS
  A consecutive series of 23 primary brain tumors was selected for this study. The neuroradiologist, not knowing the histologic diagnoses, divided the cases into low and high grade categories on the basis of the following 7 features: border sharpness, heterogeneity without contrast, cavitation, contrast enhancement, hypervascularity, mass effect and perifocal T2 hyperintensity. To each feature was given a numerical value, ranging from 1 to 3. All the cases were reviewed and classified by the same pathologist, blinded to the MRI diagnosis. Two hundred nuclei per case were recorded, and 93 karyometric features related to nuclear area, total optical density and chromatin distribution were analyzed for each nucleus. Statistical analysis included discriminant analysis, Kruskal-Wallis test, nonsupervised learning algorithm P-index and Beale statistic.
  
  
  RESULTS
  Ten cases were classified as low grade on the basis of their MRI features. The corresponding histopathologic diagnoses were: grade 2 astrocytoma in 2 cases and grade 2 oligodendroglioma in 8 cases. An MRI diagnosis of high grade tumor was made in 13 cases. In 10 cases it was confirmed by the histopathologic diagnosis (3 grade 3 astrocytomas, 1 grade 3 oligodendroglioma and 6 glioblastomas). In the remaining 3 cases the histologic examination revealed a low grade tumor, 1 grade 2 astrocytoma and 2 grade 2 oligodendrogliomas. For the purposes of the karyometric analysis the cases were allocated to the low or high grade category according to their histologic diagnosis (13 cases low grade and 10 cases high grade). Nuclei from low and high grade tumors showed clearly different karyometric characteristics. The oligodendroglioma nuclei had abnormality values close to the low grade standard, while the astrocytoma nuclei were a highly dispersed group with characteristics indicative of a higher degree of nuclear abnormality than the oligodendroglioma nuclei. The results of karyometric analysis showed that grade 2 tumors, corresponding to the low grade group, form a rather distinct category from grade 3 and 4 tumors belonging to the high grade group.
  
  
  CONCLUSIONS
  The results of MRI grading based on a series of features that are routinely assessed by the neuroradiologist to reach a final diagnosis correlate highly with the histopathologic diagnosis. Karyometry can be a useful adjunct to histologic grading.
authors.affiliation: Istituto di Anatomia Patologica, Università Politecnica delle Marche, Ospedale Nuovo di Torrette, Via Conca, 71, 60020 Torrette, Ancona, Italy. m.scarpelli@univpm.it
authors.forename: Marina
authors.initials: M
authors.lastname: Scarpelli
authors.forename: Rodolfo
authors.initials: R
authors.lastname: Montironi
authors.forename: Ugo
authors.initials: U
authors.lastname: Salvolini
authors.forename: Anna
authors.initials: A
authors.lastname: Messori
authors.forename: Peter H
authors.initials: PH
authors.lastname: Bartels
mesh_terms: D001254:Astrocytoma / Q000175:diagnosis / Q000473:pathology*; D001932:Brain Neoplasms / Q000175:diagnosis / Q000473:pathology*; D002467:Cell Nucleus / Q000473:pathology*; D003936:Diagnosis, Computer-Assisted; D005910:Glioma / Q000175:diagnosis / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007620:Karyometry; D008279:Magnetic Resonance Imaging / Q000379:methods; D009367:Neoplasm Staging