title: Magnetic resonance spectroscopy and imaging on fresh human brain tumor biopsies at microscopic resolution.
abstract: The metabolic composition and concentration knowledge provided by magnetic resonance spectroscopy (MRS) liquid and high-resolution magic angle spinning spectroscopy (HR-MAS) has a relevant impact in clinical practice during magnetic resonance imaging (MRI) monitoring of human tumors. In addition, the combination of morphological and chemical information by MRI and MRS has been particularly useful for diagnosis and prognosis of tumor evolution. MRI spatial resolution reachable in human beings is limited for safety reasons and the demanding necessary conditions are only applicable on experimental model animals. Nevertheless, MRS and MRI can be performed on human biopsies at high spatial resolution, enough to allow a direct correlation between the chemical information and the histological features observed in such biopsies. Although HR-MAS is nowadays a well-established technique for spectroscopic analysis of tumor biopsies, with this approach just a mean metabolic profile of the whole sample can be obtained and thus the high histological heterogeneity of some important tumors is mostly neglected. The value of metabolic HR-MAS data strongly depends on a wide statistical analysis and usually the microanatomical rationale for the correlation between histology and spectroscopy is lost. We present here a different approach for the combined use of MRI and MRS on fresh human brain tumor biopsies with native contrast. This approach has been designed to achieve high spatial (18 × 18 × 50 μm) and spectral (0.031 μL) resolution in order to obtain as much spatially detailed morphological and metabolical information as possible without any previous treatment that can alter the sample. The preservation of native tissue conditions can provide information that can be translated to in vivo studies and additionally opens the possibility of performing other techniques to obtain complementary information from the same sample.
authors.affiliation: Department of Physical Chemistry, University of Valencia, C/ Dr. Moliner 50, 46100, Burjassot, Valencia, Spain.
authors.forename: M Carmen
authors.initials: MC
authors.lastname: Martínez-Bisbal
authors.forename: Beatriz
authors.initials: B
authors.lastname: Martínez-Granados
authors.forename: Vicente
authors.initials: V
authors.lastname: Rovira
authors.forename: Bernardo
authors.initials: B
authors.lastname: Celda
authors.forename: Vicent
authors.initials: V
authors.lastname: Esteve
mesh_terms: D000465:Algorithms; D014408:Biomarkers, Tumor / Q000378:metabolism*; D001921:Brain / Q000378:metabolism* / Q000473:pathology*; D001932:Brain Neoplasms / Q000378:metabolism*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D066298:In Vitro Techniques; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014018:Tissue Distribution
chemical_list: D014408:Biomarkers, Tumor