title: Correlation between preoperative magnetic resonance spectroscopic data on high grade gliomas and morphology of Ki-67-positive tumor cell nuclei.
abstract: OBJECTIVE
  To investigate possible statistical correlations between metabolic data from preoperative proton magnetic resonance spectroscopy (1HMRS) and morphology of proliferating tumor cell nuclei in anaplastic gliomas and glioblastomas.
  
  
  METHODS
  Ki-67-positive tumor cell nuclei in paraffin sections of surgical specimens from 36 patients (7 anaplastic gliomas, World Health Organization grade 3; 29 glioblastomas, World Health Organization grade 4) were investigated by means of a digital image analysis system. Stringent inclusion criteria were formulated for all cases with respect to histologic quality and spectroscopic examination. As morphometric variables, nuclear area, shape variables (roundness factor, size-invariate Fourier amplitudes) and density of Ki-67-positive tumor cell nuclei per reference area were determined.
  
  
  RESULTS
  Correlation analysis according to Spearman revealed a significant positive correlation between the total creatine (TCR) peak and nuclear area (P = .005). This correlation was also found within the glioblastoma group (P = .019). There was also a significant negative correlation of nuclear area with the ratio between choline and TCR in all cases (P = .014) and within the glioblastoma group (P = .046). No significant correlation of spectroscopic data was found with nuclear shape or density of Ki-67-positive tumor cell nuclei.
  
  
  CONCLUSIONS
  The results demonstrate a correlation between spectroscopic data and morphology of proliferating tumor cell nuclei (nuclear size) in high grade gliomas. This study is part of a detailed investigation of the interrelationship between preoperative 1HMRS and quantitative histomorphology of gliomas.
authors.affiliation: Department of Neuroradiology, Clinics of Johann Wolfgang Goethe University, Schleusenweg 2-16, D-60528 Frankfurt, Germany.
authors.forename: Reinhold
authors.initials: R
authors.lastname: Nafe
authors.forename: Sebastian
authors.initials: S
authors.lastname: Herminghaus
authors.forename: Peter
authors.initials: P
authors.lastname: Raab
authors.forename: Sabine
authors.initials: S
authors.lastname: Wagner
authors.forename: Ulrich
authors.initials: U
authors.lastname: Pilatus
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Schlote
authors.forename: Friedhelm
authors.initials: F
authors.lastname: Zanella
authors.forename: Heinrich
authors.initials: H
authors.lastname: Lanfermann
mesh_terms: D014408:Biomarkers, Tumor / Q000378:metabolism; D001932:Brain Neoplasms / Q000378:metabolism / Q000473:pathology* / Q000601:surgery; D002467:Cell Nucleus / Q000378:metabolism / Q000473:pathology*; D016002:Discriminant Analysis; D005583:Fourier Analysis; D005909:Glioblastoma / Q000378:metabolism / Q000473:pathology* / Q000601:surgery; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007150:Immunohistochemistry; D019394:Ki-67 Antigen / Q000378:metabolism; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D011300:Preoperative Care
chemical_list: D014408:Biomarkers, Tumor; D019394:Ki-67 Antigen