1H 2D MRSI tissue type analysis of gliomas

Magnetic Resonance in Medicine

Volumn 73, Issue 4, 2015, Pages 1381-1389

  Raschke, Felix ^a   Fellows, Greg A ^b   Wright, Alan J ^c   Howe, Franklyn A ^a  

^a ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^b FRENCHAY HOSPITAL   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

classification; decomposition; delineation; glioma; LCModel; magnetic resonance spectroscopic imaging

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECOMPOSITION; GRADING; MAGNETIC RESONANCE SPECTROSCOPY; MAGNETISM; SIGNAL TO NOISE RATIO; TUMORS;

1H MAGNETIC RESONANCE SPECTROSCOPIES; CLASSIFICATION ACCURACY; CONTRAST ENHANCEMENT; DELINEATION; GLIOMA; LCMODEL; MAGNETIC RESONANCE SPECTROSCOPIC IMAGING; TUMOR CLASSIFICATION;

MAGNETIC RESONANCE;

ARTICLE; BRAIN MAPPING; CANCER GRADING; CANCER PATIENT; CANCER TISSUE; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; GLIOMA; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IN VIVO STUDY; MATHEMATICAL MODEL; NEUROANATOMY; NEUROIMAGING; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PROTON NUCLEAR MAGNETIC RESONANCE; SIMULATION; TISSUE SPECIFICITY; TUMOR CLASSIFICATION; TUMOR INVASION; TUMOR VOLUME; ALGORITHM; BRAIN TUMOR; CHEMISTRY; CLASSIFICATION; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

TUMOR MARKER;

ALGORITHMS; BIOMARKERS, TUMOR; BRAIN NEOPLASMS; GLIOMA; HUMANS; NEOPLASM GRADING; PROTON MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84925643258     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25251     Document Type: Article

References (34)

1. Al-Okaili RN, Krejza J, Woo JH, Wolf RL, O'Rourke DM, Judy KD, Poptani H, Melhem ER,. Intraaxial brain masses: MR imaging-based diagnostic strategy-initial experience. Radiology 2007; 243: 539-550.
2. Keogh BP, Henson JW,. Clinical manifestations and diagnostic imaging of brain tumors. Hematol Oncol Clin North Am 2012; 26: 733-755.
3. Louis D, Ohgaki H, Wiestler O, Cavenee W, Burger P, Jouvet A, Scheithauer B, Kleihues P,. The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 2007; 114: 97-109.
4. Lacroix M, Abi-Said D, Fourney DR, et al. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg 2001; 95: 190-198.
5. Stupp R, Mason WP, van den Bent MJ, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 2005; 352: 987-996.
6. Brandes AA, Stupp R, Hau P, Lacombe D, Gorlia T, Tosoni A, Mirimanoff RO, Kros JM, van den Bent MJ,. Eortc study 26041-22041: phase i/ii study on concomitant and adjuvant temozolomide (tmz) and radiotherapy (rt) with ptk787/zk222584 (ptk/zk) in newly diagnosed glioblastoma. Eur J Cancer 2010; 46: 348-354.
7. Chang EL, Akyurek S, Avalos T, Rebueno N, Spicer C, Garcia J, Famiglietti R, Allen PK, Chao KS, Mahajan A,. Evaluation of peritumoral edema in the delineation of radiotherapy clinical target volumes for glioblastoma. Int J Radiat Oncol Biol Phys 2007; 68: 144-150.
8. Lawrence JR, Mishra MV, Werner-Wasik M, Andrews DW, Showalter TN, Glass J, Shen X, Symon Z, Dicker AP,. Improving prognosis of glioblastoma in the 21st century: who has benefited most? Cancer 2012; 118: 4228-4234.
9. Li Y, Lupo JM, Parvataneni R, Lamborn KR, Cha S, Chang SM, Nelson SJ,. Survival analysis in patients with newly diagnosed glioblastoma using pre- and postradiotherapy MR spectroscopic imaging. Neuro Oncol 2013; 15: 607-617.
10. Chan JL, Lee SW, Fraass BA, Normolle DP, Greenberg HS, Junck LR, Gebarski SS, Sandler HM,. Survival and failure patterns of high-grade gliomas after three-dimensional conformal radiotherapy. J Clin Oncol 2002; 20: 1635-1642.
11. Lee SW, Fraass BA, Marsh LH, Herbort K, Gebarski SS, Martel MK, Radany EH, Lichter AS, Sandler HM,. Patterns of failure following high-dose 3-D conformal radiotherapy for high-grade astrocytomas: a quantitative dosimetric study. Int J Radiat Oncol Biol Phys 1999; 43: 79-88.
12. Schomas DA, Laack NNI, Rao RD, Meyer FB, Shaw EG, O'Neill BP, Giannini C, Brown PD,. Intracranial low-grade gliomas in adults: 30-year experience with long-term follow-up at mayo clinic. Neuro Oncol 2009; 11: 437-445.
13. Burger PC, Heinz ER, Shibata T, Kleihues P,. Topographic anatomy and CT correlations in the untreated glioblastoma multiforme. J Neurosurg 1988; 68: 698-704.
14. Yamahara T, Numa Y, Oishi T, Kawaguchi T, Seno T, Asai A, Kawamoto K,. Morphological and flow cytometric analysis of cell infiltration in glioblastoma: a comparison of autopsy brain and neuroimaging. Brain Tumor Pathol 2010; 27: 81-87.
15. Raschke F, Fuster-Garcia E, Opstad KS, Howe FA,. Classification of single-voxel 1H spectra of brain tumours using LCModel. NMR Biomed 2012; 25: 322-331.
16. Raschke F, Davies NP, Wilson M, Peet AC, Howe FA,. Classification of single-voxel 1H spectra of childhood cerebellar tumors using LCModel and whole tissue representations. Magn Reson Med 2013; 70: 1-6.
17. Howe FA, Barton SJ, Cudlip SA, et al. Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med 2003; 49: 223-232.
18. Fuster-Garcia E, Tortajada S, Vicente J, Robles M, García-Gõmez JM,. Extracting MRS discriminant functional features of brain tumors. NMR Biomed 2013; 26: 578-592.
19. De Edelenyi FS, Rubin C, Esteve F, Grand S, Decorps M, Lefournier V, Le Bas J-F, Remy C,. A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: nosologic images. Nat Med 2000; 6: 1287-1289.
20. Luts J, Laudadio T, Idema AJ, Simonetti AW, Heerschap A, Vandermeulen D, Suykens JAK, Van Huffel S,. Nosologic imaging of the brain: segmentation and classification using MRI and MRSI. NMR Biomed 2009; 22: 374-390.
21. McKnight TR, von dem Bussche MH, Vigneron DB, Lu Y, Berger MS, McDermott MW, Dillon WP, Graves EE, Pirzkall A, Nelson SJ,. Histopathological validation of a three-dimensional magnetic resonance spectroscopy index as a predictor of tumor presence. J Neurosurg 2002; 97: 794-802.
22. Pirzkall A, Li X, Oh J, Chang S, Berger MS, Larson DA, Verhey LJ, Dillon WP, Nelson SJ,. 3D MRSI for resected high-grade gliomas before RT: tumor extent according to metabolic activity in relation to MRI. Int J Radiat Oncol Biol Phys 2004; 59: 126-137.
23. Tate AR, Underwood J, Acosta DM, et al. Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra. NMR Biomed 2006; 19: 411-434.
24. García-Gõmez JM, Luts J, Julià-Sapé M, et al. Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy. Magn Reson Mater Phys Biol Med 2009; 22: 5-18.
25. van der Graaf M, Julià-Sapé M, Howe FA, et al. MRS quality assessment in a multicentre study on MRS-based classification of brain tumours. NMR Biomed 2008; 21: 148-158.
26. Wright AJ, Fellows G, Byrnes TJ, Opstad KS, McIntyre DJO, Griffiths JR, Bell BA, Clark CA, Barrick TR, Howe FA,. Pattern recognition of MRSI data shows regions of glioma growth that agree with DTI markers of brain tumor infiltration. Magn Reson Med 2009; 62: 1646-1651.
27. Kanowski M, Kaufmann J, Braun J, Bernarding J, Tempelmann C,. Quantitation of simulated short echo time 1H human brain spectra by LCModel and AMARES. Magn Reson Med 2004; 51: 904-912.
28. de Edelenyi FS, Simonetti AW, Postma G, Huo R, Buydens LMC,. Application of independent component analysis to 1H MR spectroscopic imaging exams of brain tumours. Anal Chim Acta 2005; 544: 36-46.
29. Li Y, Sima DM, Cauter SV, Sava ARC, Himmelreich U, Pi Y, Van Huffel S,. Hierarchical non-negative matrix factorization (hNMF): a tissue pattern differentiation method for glioblastoma multiforme diagnosis using MRSI. NMR Biomed 2013; 26: 307-319.
30. Ortega-Martorell S, Lisboa PJG, Vellido A, Simões RV, Pumarola M, Julià-Sapé M, Arús C,. Convex non-negative matrix factorization for brain tumor delimitation from MRSI data. PLoS One 2012; 7: e47824.
31. Ozhinsky E, Vigneron DB, Chang SM, Nelson SJ,. Automated prescription of oblique brain 3D magnetic resonance spectroscopic imaging. Magn Reson Med 2013; 69: 920-930.
32. Einstein DB, Wessels B, Bangert B, Fu P, Nelson AD, Cohen M, Sagar S, Lewin J, Sloan A, Zheng Y,. Phase II trial of radiosurgery to magnetic resonance spectroscopy-defined high-risk tumor volumes in patients with glioblastoma multiforme. Int J Radiat Oncol Biol Phys 2012; 84: 668-674.
33. De Graaf RA,. In vivo NMR spectroscopy, 2 ed. Chichester, UK: John Wiley; 2007.
34. Stadlbauer A, Nimsky C, Buslei R, Pinker K, Gruber S, Hammen T, Buchfelder M, Ganslandt O,. Proton magnetic resonance spectroscopic imaging in the border zone of gliomas: correlation of metabolic and histological changes at low tumor infiltration-initial results. Invest Radiol 2007; 42: 218-223.