Neuroradiology (2003) 45: 1–10 DOI 10.1007/s00234-002-0865-0
A.A. Tzika L.G. Astrakas M.K. Zarifi N. Petridou T. Young-Poussaint L. Goumnerova D. Zurakowski D.C. Anthony P. McL. Black
Received: 17 October 2001 Accepted: 6 August 2002 Published online: 20 November 2002 Springer-Verlag 2002 Research support was provided by American Cancer Society Grant RPG-98–056-01CCE A.A. Tzika (&) Æ L.G. Astrakas M.K. Zarifi Æ N. Petridou T. Young-Poussaint Department of Radiology, Children’s Hospital, Harvard Medical School, Boston, MA 02114, USA E-mail:
[email protected] Tel.: +1-617-3714871 Fax: +1-617-7203544 A.A. Tzika Director, NMR Surgical Laboratory, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, 51 Blossom Street, Room #261, Boston, MA 02114, USA L. Goumnerova Æ P. McL. Black Department of Neurosurgery, Children’s Hospital, Harvard Medical School, Boston, MA 02114, USA D. Zurakowski Department of Biostatistics, Children’s Hospital, Harvard Medical School, Boston, MA 02114, USA D.C. Anthony Department of Pathology, Children’s Hospital, Harvard Medical School, Boston, MA 02114, USA
PAEDIATRIC NEURORADIOLOGY
Multiparametric MR assessment of pediatric brain tumors
Abstract MR assessment of pediatric brain tumors has expanded to include physiologic information related to cellular metabolites, hemodynamic and diffusion parameters. The purpose of this study was to investigate the relationship between MR and proton MR spectroscopic imaging in children with primary brain tumors. Twenty-one patients (mean age 9 years) with histologically verified brain tumors underwent conventional MR imaging, hemodynamic MR imaging (HMRI) and proton MR spectroscopic imaging (MRSI). Fourteen patients also had diffusion-weighted MR imaging (DWMRI). Metabolic indices including choline-containing compounds (Cho), total creatine (tCr) and lipids/lactate (L) were derived by proton MRSI, relative cerebral blood volume (rCBV) by HMRI, and apparent tissue water diffusion coefficients (ADC) by DWMRI. Variables were examined by linear regression and correlation as well as by ANOVA. Cho (suggestive of tumor cellularity and proliferative activity) correlated positively with rCBV, while the relationship
Introduction The incidence of cancer has risen in children [1]; however, long-term prognosis for patients with pediatric brain tumors is dependent on tumor type, location and optimal
between Cho and ADC (suggestive of cellular density) was inverse (P
