Magnetic Resonance Microscopy at 14 Tesla and Correlative Histopathology of Human Brain Tumor Tissue

Magnetic Resonance Microscopy (MRM) can provide high microstructural detail in excised human lesions. Previous MRM images on some experimental models and a few human samples suggest the large potential of the technique. The aim of this study was the characterization of specific morphological features of human brain tumor samples by MRM and correlative histopathology. We performed MRM imaging and correlative histopathology in 19 meningioma and 11 glioma human brain tumor samples obtained at surgery. To our knowledge, this is the first MRM direct structural characterization of human brain tumor samples. MRM of brain tumor tissue provided images with 35 to 40 µm spatial resolution. The use of MRM to study human brain tumor samples provides new microstructural information on brain tumors for better classification and characterization. The correlation between MRM and histopathology images allowed the determination of image parameters for critical microstructures of the tumor, like collagen patterns, necrotic foci, calcifications and/or psammoma bodies, vascular distribution and hemorrhage among others. Therefore, MRM may help in interpreting the Clinical Magnetic Resonance images in terms of cell biology processes and tissue patterns. Finally, and most importantly for clinical diagnosis purposes, it provides three-dimensional information in intact samples which may help in selecting a preferential orientation for the histopathology slicing which contains most of the informative elements of the biopsy. Overall, the findings reported here provide a new and unique microstructural view of intact human brain tumor tissue. At this point, our approach and results allow the identification of specific tissue types and pathological features in unprocessed tumor samples.

[1]  Geoffrey S Young,et al.  Advanced MRI of adult brain tumors. , 2007, Neurologic clinics.

[2]  ManKin Choy,et al.  Structural correlates of active-staining following magnetic resonance microscopy in the mouse brain , 2011, NeuroImage.

[3]  P. Gallé,et al.  Electron microprobe study of calcifications in human brain tumors , 1978, Acta Neuropathologica.

[4]  R. Shenkar,et al.  ADVANCED MAGNETIC RESONANCE IMAGING OF CEREBRAL CAVERNOUS MALFORMATIONS: PART I. HIGH‐FIELD IMAGING OF EXCISED HUMAN LESIONS , 2008, Neurosurgery.

[5]  J. Raizer,et al.  Low-grade gliomas: management issues , 2007, Expert review of anticancer therapy.

[6]  G GOMORI,et al.  A rapid one-step trichrome stain. , 1950, American journal of clinical pathology.

[7]  C. Beaulieu,et al.  The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.

[8]  Yasuaki Nakashima,et al.  Distribution of collagen Type IV in brain tumors: An immunohistochemical study , 1989, Journal of Neuro-Oncology.

[9]  R. Stern,et al.  The extracellular matrix of the central and peripheral nervous systems: structure and function. , 1988, Journal of neurosurgery.

[10]  L W Hedlund,et al.  Magnetic Resonance Microscopy in Basic Studies of Brain Structure and Function a , b , 1997, Annals of the New York Academy of Sciences.

[11]  L. D.,et al.  Brain tumors , 2005, Psychiatric Quarterly.

[12]  John A. Ozolek,et al.  Semiquantitative histopathology and 3D magnetic resonance microscopy as collaborative platforms for tissue identification and comparison within teratomas derived from pedigreed primate embryonic stem cells. , 2010, Stem cell research.

[13]  G. Pappas,et al.  Expression of type VI collagen during glioblastoma cell invasion in brain tissue cultures. , 1995, Cancer letters.

[14]  H. Puchtler,et al.  Silver impregnation methods for reticulum fibers and reticulin: A re-investigation of their origins and specifity , 1978, Histochemistry.

[15]  B. Scheithauer,et al.  The 2007 WHO classification of tumours of the central nervous system , 2007, Acta Neuropathologica.

[16]  P. Kelly,et al.  Advanced MRI for Brain Tumors: A Neurosurgical Perspective , 2004, Topics in magnetic resonance imaging : TMRI.

[17]  F. Schiller Early approaches to brain tumors. , 1996, Neurosurgery.

[18]  Andre Obenaus,et al.  Magnetic resonance imaging and mathematical modeling of progressive formalin fixation of the human brain , 2005, Magnetic resonance in medicine.

[19]  W. Bradley MR appearance of hemorrhage in the brain. , 1993, Radiology.

[20]  R. Shenkar,et al.  ADVANCED MAGNETIC RESONANCE IMAGING OF CEREBRAL CAVERNOUS MALFORMATIONS: PART II. IMAGING OF LESIONS IN MURINE MODELS , 2008, Neurosurgery.

[21]  D. H. Mackenzie Reticulin Patterns in the Diagnosis of Carcinomas and Sarcomas , 1958, British Journal of Cancer.

[22]  P. Gutin,et al.  Cancer of the Nervous System , 1998 .

[23]  Petra Schmalbrock,et al.  Susceptibility-based imaging of glioblastoma microvascularity at 8 T: correlation of MR imaging and postmortem pathology. , 2004, AJNR. American journal of neuroradiology.

[24]  Arvind P Pathak,et al.  Vascular phenotyping of brain tumors using magnetic resonance microscopy (μMRI) , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[25]  Hsiao-Fang Liang,et al.  Formalin fixation alters water diffusion coefficient magnitude but not anisotropy in infarcted brain , 2005, Magnetic resonance in medicine.

[26]  Louise van der Weerd,et al.  MRI artifacts in human brain tissue after prolonged formalin storage , 2011, Magnetic resonance in medicine.

[27]  G Allan Johnson,et al.  Magnetic resonance microscopy-based analyses of the brains of normal and ethanol-exposed fetal mice. , 2010, Birth defects research. Part A, Clinical and molecular teratology.

[28]  A. Blamire,et al.  Optimising Imaging Parameters for Post Mortem MR Imaging of the Human Brain , 1999, Acta radiologica.

[29]  R. Barnard,et al.  The classification of tumours of the central nervous system. , 1982, Neuropathology and applied neurobiology.

[30]  B. Manoranjan,et al.  Congenital Brain Tumors: Diagnostic Pitfalls and Therapeutic Interventions , 2011, Journal of child neurology.