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Magnetic resonance spectroscopy and imaging on fresh human brain tumor biopsies at microscopic resolution

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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.

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Abbreviations

FLASH:

Fast low-angle shot

GBM:

Glioblastoma multiform

H&E:

Hematoxylin and eosin

HR-MAS:

High-resolution magic angle spinning spectroscopy

MR:

Magnetic resonance

MRI:

Magnetic resonance imaging

MRM:

Magnetic resonance microscopy

MRS:

Magnetic resonance spectroscopy

NAA:

N-Acetylaspartate

OM:

Optical microscopy

PBS:

Phosphate-buffered saline

PFA:

Para-formaldehyde

PRESS:

Point-resolved spectroscopy

RARE:

Rapid acquisition with relaxation enhancement

VAPOR:

Variable pulse power and optimized relaxation delays

References

  1. Stadlbauer A, Gruber S, Nimsky C, Fahlbusch R, Hammen T, Buslei R, Tomandl B, Moser E, Ganslandt O (2006) Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging. Radiology 238:958

    Article  Google Scholar 

  2. Howe FA, Barton SJ, Cudlip SA, Stubbs M, Saunders DE, Murphy M, Wilkins P, Opstad KS, Doyle VL, McLean MA, Bell BA, Griffiths JR (2003) Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med 49:223

    Article  CAS  Google Scholar 

  3. Castillo M, Kwock L (1999) Clinical applications of proton magnetic resonance spectroscopy in the evaluation of common intracranial tumors. Top Magn Reson Imaging 10:104

    Article  CAS  Google Scholar 

  4. Howe FA, Opstad KS (2003) 1H MR spectroscopy of brain tumours and masses. NMR Biomed 16:123

    Article  CAS  Google Scholar 

  5. Martinez-Bisbal MC, Celda B (2009) Proton magnetic resonance spectroscopy imaging in the study of human brain cancer. Q J Nucl Med Mol Imaging 53:618

    CAS  Google Scholar 

  6. Sibtain NA, Howe FA, Saunders DE (2007) The clinical value of proton magnetic resonance spectroscopy in adult brain tumours. Clin Radiol 62:109

    Article  CAS  Google Scholar 

  7. Tong Z, Yamaki T, Harada K, Houkin K (2004) In vivo quantification of the metabolites in normal brain and brain tumors by proton MR spectroscopy using water as an internal standard. Magn Reson Imaging 22:1017

    Article  CAS  Google Scholar 

  8. Hourani R, Brant LJ, Rizk T, Weingart JD, Barker PB, Horska A (2008) Can proton MR spectroscopic and perfusion imaging differentiate between neoplastic and nonneoplastic brain lesions in adults? AJNR Am J Neuroradiol 29:366

    Article  CAS  Google Scholar 

  9. Hourani R, Horska A, Albayram S, Brant LJ, Melhem E, Cohen KJ, Burger PC, Weingart JD, Carson B, Wharam MD, Barker PB (2006) Proton magnetic resonance spectroscopic imaging to differentiate between nonneoplastic lesions and brain tumors in children. J Magn Reson Imaging 23:99

    Article  Google Scholar 

  10. Lai PH, Weng HH, Chen CY, Hsu SS, Ding S, Ko CW, Fu JH, Liang HL, Chen KH (2008) In vivo differentiation of aerobic brain abscesses and necrotic glioblastomas multiforme using proton MR spectroscopic imaging. AJNR Am J Neuroradiol 29:1511

    Article  CAS  Google Scholar 

  11. Vuori K, Kankaanranta L, Hakkinen AM, Gaily E, Valanne L, Granstrom ML, Joensuu H, Blomstedt G, Paetau A, Lundbom N (2004) Low-grade gliomas and focal cortical developmental malformations: differentiation with proton MR spectroscopy. Radiology 230:703

    Article  Google Scholar 

  12. Di Costanzo A, Scarabino T, Trojsi F, Popolizio T, Catapano D, Giannatempo GM, Bonavita S, Portaluri M, Tosetti M, d’Angelo VA, Salvolini U, Tedeschi G (2008) Proton MR spectroscopy of cerebral gliomas at 3 T: spatial heterogeneity, and tumour grade and extent. Eur Radiol 18:1727

    Article  Google Scholar 

  13. Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, Knopp EA, Zagzag D (2003) Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol 24:1989

    Google Scholar 

  14. Catalaa I, Henry R, Dillon WP, Graves EE, McKnight TR, Lu Y, Vigneron DB, Nelson SJ (2006) Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas. NMR Biomed 19:463

    Article  CAS  Google Scholar 

  15. Devos A, Lukas L, Suykens JA, Vanhamme L, Tate AR, Howe FA, Majos C, Moreno-Torres A, van der Graaf M, Arus C, Van Huffel S (2004) Classification of brain tumours using short echo time 1H MR spectra. J Magn Reson 170:164

    Article  CAS  Google Scholar 

  16. Burtscher IM, Skagerberg G, Geijer B, Englund E, Stahlberg F, Holtas S (2000) Proton MR spectroscopy and preoperative diagnostic accuracy: an evaluation of intracranial mass lesions characterized by stereotactic biopsy findings. AJNR Am J Neuroradiol 21:84

    CAS  Google Scholar 

  17. Ishimaru H, Morikawa M, Iwanaga S, Kaminogo M, Ochi M, Hayashi K (2001) Differentiation between high-grade glioma and metastatic brain tumor using singlevoxel proton MR spectroscopy. Eur Radiol 11:1784

    Article  CAS  Google Scholar 

  18. Sjobakk TE, Johansen R, Bathen TF, Sonnewald U, Kvistad KA, Lundgren S, Gribbestad IS (2007) Metabolic profiling of human brain metastases using in vivo proton MR spectroscopy at 3T. BMC Cancer 7:141

    Article  Google Scholar 

  19. Stadlbauer A, Nimsky C, Buslei R, Pinker K, Gruber S, Hammen T, Buchfelder M, Ganslandt O (2007) Proton magnetic resonance spectroscopic imaging in the border zone of gliomas: correlation of metabolic and histological changes at low tumor infiltration—initial results. Investig Radiol 42:218

    Article  Google Scholar 

  20. Law M, Cha S, Knopp EA, Johnson G, Arnett J, Litt AW (2002) High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging. Radiology 222:715

    Article  Google Scholar 

  21. Schlemmer HP, Bachert P, Herfarth KK, Zuna I, Debus J, van Kaick G (2001) Proton MR spectroscopic evaluation of suspicious brain lesions after stereotactic radiotherapy. AJNR Am J Neuroradiol 22:1316

    CAS  Google Scholar 

  22. Weybright P, Sundgren PC, Maly P, Hassan DG, Nan B, Rohrer S, Junck L (2005) Differentiation between brain tumor recurrence and radiation injury using MR spectroscopy. AJR Am J Roentgenol 185:1471

    Article  Google Scholar 

  23. Stadlbauer A, Moser E, Gruber S, Buslei R, Nimsky C, Fahlbusch R, Ganslandt O (2004) Improved delineation of brain tumors: an automated method for segmentation based on pathologic changes of 1H-MRSI metabolites in gliomas. Neuroimage 23:454

    Article  Google Scholar 

  24. Dowling C, Bollen AW, Noworolski SM, McDermott MW, Barbaro NM, Day MR, Henry RG, Chang SM, Dillon WP, Nelson SJ, Vigneron DB (2001) Preoperative proton MR spectroscopic imaging of brain tumors: correlation with histopathologic analysis of resection specimens. AJNR Am J Neuroradiol 22:604

    CAS  Google Scholar 

  25. Benveniste H, Blackband S (2002) MR microscopy and high resolution small animal MRI: applications in neuroscience research. Prog Neurobiol 67:393

    Article  Google Scholar 

  26. Benveniste H, Blackband SJ (2006) Translational neuroscience and magneticresonancemicroscopy. Lancet Neurol 5:536

    Article  Google Scholar 

  27. Thelwall PE, Shepherd TM, Stanisz GJ, Blackband SJ (2006) Effects of temperature and aldehyde fixation on tissue water diffusion properties, studied in an erythrocyte ghost tissue model. Magn Reson Med 56:282

    Article  Google Scholar 

  28. Fatterpekar GM, Naidich TP, Delman BN, Aguinaldo JG, Gultekin SH, Sherwood CC, Hof PR, Drayer BP, Fayad ZA (2002) Cytoarchitecture of the human cerebral cortex: MR microscopy of excised specimens at 9.4 Tesla. AJNR Am J Neuroradiol 23:1313

    Google Scholar 

  29. Yushkevich PA, Avants BB, Pluta J, Das S, Minkoff D, Mechanic-Hamilton D, Glynn S, Pickup S, Liu W, Gee JC, Grossman M, Detre JA (2009) A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T. Neuroimage 44:385

    Article  Google Scholar 

  30. Blackwell ML, Farrar CT, Fischl B, Rosen BR (2009) Target-specific contrast agents for magnetic resonance microscopy. Neuroimage 46:382

    Article  Google Scholar 

  31. Shenkar R, Venkatasubramanian PN, Zhao JC, Batjer HH, Wyrwicz AM, Awad IA (2008) Advanced magnetic resonance imaging of cerebral cavernous malformations: part I. High-field imaging of excised human lesions. Neurosurgery 63:782

    Article  Google Scholar 

  32. Gonzalez-Segura A, Morales JM, Gonzalez-Darder JM, Cardona-Marsal R, Lopez-Gines C, Cerda-Nicolas M, Monleon D (2011) Magnetic resonance microscopy at 14 Tesla and correlative histopathology of human brain tumor tissue. PLoS One 6, e27442

    Article  CAS  Google Scholar 

  33. Shepherd TM, Flint JJ, Thelwall PE, Stanisz GJ, Mareci TH, Yachnis AT, Blackband SJ (2009) Postmortem interval alters the water relaxation and diffusion properties of rat nervous tissue—implications for MRI studies of human autopsy samples. Neuroimage 44:820

    Article  Google Scholar 

  34. Brazilian Aging Brain Study Group, Grinberg LT, Amaro E Jr, Teipel S, dos Santos DD, Pasqualucci CA, Leite RE, Camargo CR, Goncalves JA, Sanches AG, Santana M, Ferretti RE, Jacob-Filho W, Nitrini R, Heinsen H (2008) Assessment of factors that confound MRI and neuropathological correlation of human postmortem brain tissue. Cell Tissue Bank 9:195

    Article  Google Scholar 

  35. Tkac I, Starcuk Z, Choi IY, Gruetter R (1999) In vivo 1H NMR spectroscopy of rat brain at 1 ms echo time. Magn Reson Med 41:649

    Article  CAS  Google Scholar 

  36. Pfeuffer J, Tkac I, Provencher SW, Gruetter R (1999) Toward an in vivo neurochemical profile: quantification of 18 metabolites in short-echo-time (1) H NMR spectra of the rat brain. J Magn Reson 141:104

    Article  CAS  Google Scholar 

  37. Pfeuffer J, Tkac I, Choi IY, Merkle H, Ugurbil K, Garwood M, Gruetter R (1999) Localized in vivo 1H NMR detection of neurotransmitter labeling in rat brain during infusion of [1-13C] D-glucose. Magn Reson Med 41:1077

    Article  CAS  Google Scholar 

  38. Gruetter R (1993) Automatic, localized in vivo adjustment of all first- and secondorder shim coils. Magn Reson Med 29:804

    Article  CAS  Google Scholar 

  39. Zoula S, Herigault G, Ziegler A, Farion R, Decorps M, Remy C (2003) Correlation between the occurrence of 1H-MRS lipid signal, necrosis and lipid droplets during C6 rat glioma development. NMR Biomed 16:199

    Article  CAS  Google Scholar 

  40. Russell D, Rubinstein LJ (1998) Russel and Rubinstein’s Pathology of Tumors of the Nervous System. Arnold, London

  41. Levin VA, Leibel SA, Gutin PH (1997) In: De Vita VTj, Hellman S, Rosenberg SA (eds) Cancer principles and practice of oncology, 5th edn. Lippincott-Raven, Philadelphia

  42. Cha S (2006) Update on brain tumor imaging: from anatomy to physiology. AJNR Am J Neuroradiol 27:475

    CAS  Google Scholar 

  43. Steinberg JD, Velan SS (2012) Measuring glucose concentrations in the rat brain using echo-time-averaged point resolved spectroscopy at 7 Tesla. Magnetic Resonance in Medicine:n/a

  44. Simoes RV, Garcia-Martin ML, Cerdan S, Arus C (2008) Perturbation of mouse glioma MRS pattern by induced acute hyperglycemia. NMR Biomed 21:251

    Article  CAS  Google Scholar 

  45. Thorsen F, Jirak D, Wang J, Sykova E, Bjerkvig R, Enger PO, van der Kogel A, Hajek M (2008) Two distinct tumor phenotypes isolated from glioblastomas show different MRS characteristics. NMR Biomed 21:830

    Article  CAS  Google Scholar 

  46. Liimatainen T, Hakumaki J, Tkac I, Grohn O (2006) Ultra-short echo time spectroscopic imaging in rats: implications for monitoring lipids in glioma gene therapy. NMR Biomed 19:554

    Article  CAS  Google Scholar 

  47. Liimatainen TJ, Erkkila AT, Valonen P, Vidgren H, Lakso M, Wong G, Grohn OH, Yla-Herttuala S, Hakumaki JM (2008) 1H MR spectroscopic imaging of phospholipase-mediated membrane lipid release in apoptotic rat glioma in vivo. Magn Reson Med 59:1232

    Article  CAS  Google Scholar 

  48. Liimatainen T, Hakumaki JM, Kauppinen RA, Ala-Korpela M (2009) Monitoring of gliomas in vivo by diffusion MRI and (1) H MRS during gene therapy-induced apoptosis: interrelationships between water diffusion and mobile lipids. NMR Biomed 22:272

    Article  CAS  Google Scholar 

  49. Griffin JL, Lehtimaki KK, Valonen PK, Grohn OH, Kettunen MI, Yla-Herttuala S, Pitkanen A, Nicholson JK, Kauppinen RA (2003) Assignment of 1H nuclear magnetic resonance visible polyunsaturated fatty acids in BT4C gliomas undergoing ganciclovir-thymidine kinase gene therapy-induced programmed cell death. Cancer Res 63:3195

    CAS  Google Scholar 

  50. Provent P, Benito M, Hiba B, Farion R, Lopez-Larrubia P, Ballesteros P, Remy C, Segebarth C, Cerdan S, Coles JA, Garcia-Martin ML (2007) Serial in vivo spectroscopic nuclear magnetic resonance imaging of lactate and extracellular pH in rat gliomas shows redistribution of protons away from sites of glycolysis. Cancer Res 67:7638

    Article  CAS  Google Scholar 

  51. Doblas S, He T, Saunders D, Hoyle J, Smith N, Pye Q, Lerner M, Jensen RL, Towner RA (2012) In vivo characterization of several rodent glioma models by 1H MRS. NMR Biomed 25:685

    Article  CAS  Google Scholar 

  52. Ziegler A, von Kienlin M, Decorps M, Remy C (2001) High glycolytic activity in rat glioma demonstrated in vivo by correlation peak 1H magnetic resonance imaging. Cancer Res 61:5595

    CAS  Google Scholar 

  53. Garcia-Martin ML, Herigault G, Remy C, Farion R, Ballesteros P, Coles JA, Cerdan S, Ziegler A (2001) Mapping extracellular pH in rat brain gliomas in vivo by 1H magnetic resonance spectroscopic imaging: comparison with maps of metabolites. Cancer Res 61:6524

    CAS  Google Scholar 

  54. Hakumaki JM, Poptani H, Sandmair AM, Yla-Herttuala S, Kauppinen RA (1999) 1H MRS detects polyunsaturated fatty acid accumulation during gene therapy of glioma: implications for the in vivo detection of apoptosis. Nat Med 5:1323

    Article  CAS  Google Scholar 

  55. Martinez-Bisbal MC, Esteve V, Martinez-Granados B, Celda B (2011) Magnetic resonance microscopy contribution to interpret high-resolution magic angle spinning metabolomic data of human tumor tissue. J Biomed Biotechnol 2011:763684

    Article  Google Scholar 

  56. Esteve V, Celda B, Martinez-Bisbal MC (2012) Use of (1) H and (31)P HRMAS to evaluate the relationship between quantitative alterations in metabolite concentrations and tissue features in human brain tumour biopsies. Anal Bioanal Chem

  57. Martinez-Bisbal MC, Marti-Bonmati L, Piquer J, Revert A, Ferrer P, Llacer JL, Piotto M, Assemat O, Celda B (2004) 1H and 13C HR-MAS spectroscopy of intact biopsy samples ex vivo and in vivo 1H MRS study of human high grade gliomas. NMR Biomed 17:191

    Article  CAS  Google Scholar 

  58. Cheng LL, Ma MJ, Becerra L, Ptak T, Tracey I, Lackner A, Gonzalez RG (1997) Quantitative neuropathology by high resolution magic angle spinning proton magnetic resonance spectroscopy. Proc Natl Acad Sci U S A 94:6408

    Article  CAS  Google Scholar 

  59. Cheng LL, Anthony DC, Comite AR, Black PM, Tzika AA, Gonzalez RG (2000) Quantification of microheterogeneity in glioblastoma multiforme with ex vivo highresolution magic-angle spinning (HRMAS) proton magnetic resonance spectroscopy. Neuro-Oncology 2:87

    CAS  Google Scholar 

  60. Sitter B, Bathen TF, Tessem M, Gribbestad IS (2009) High-resolution magic angle spinning (HR MAS) MR spectroscopy in metabolic characterization of human cancer. Prog Nucl Magn Reson Spectrosc 54:239

    Article  CAS  Google Scholar 

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Acknowledgments

The authors acknowledge the SCSIE-University of Valencia Microscopy Service for the histological preparations. They also acknowledge financial support from the Spanish Government project SAF2007-6547, the Generalitat Valenciana project GVACOMP2009-303, and the E.U.s VI Framework Program via the project “Web accessible MR decision support system for brain tumor diagnosis and prognosis, incorporating in vivo and ex vivo genomic and metabolomic data” (FP6-2002-LSH 503094).

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Correspondence to Vicent Esteve.

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Martínez-Bisbal, M.C., Martínez-Granados, B., Rovira, V. et al. Magnetic resonance spectroscopy and imaging on fresh human brain tumor biopsies at microscopic resolution. Anal Bioanal Chem 407, 6771–6780 (2015). https://doi.org/10.1007/s00216-015-8847-3

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