Glioma grade assessment by using histogram analysis of diffusion tensor imaging-derived maps

Neuroradiology

Volumn 53, Issue 7, 2011, Pages 483-491

  Jakab, András ^a   Molnár, Péter ^a   Emri, Miklós ^a   Berényi, Ervin ^a  

^a UNIVERSITY OF DEBRECEN   (Hungary)

Author keywords

Classification; Diffusion magnetic resonance imaging; Diffusion tensor imaging; Glioma

Indexed keywords

ACCURACY; AGED; ARTICLE; CANCER GRADING; CHILD; CLINICAL ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; DISCRIMINANT ANALYSIS; FEASIBILITY STUDY; FEMALE; FRACTIONAL ANISOTROPY; GLIOMA; HISTOGRAM; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MALE; PREDICTION; PREDICTIVE VALUE; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; SCHOOL CHILD; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; TUMOR VOLUME; VALIDATION PROCESS;

ADULT; AGED; AGED, 80 AND OVER; BRAIN NEOPLASMS; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; GLIOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79959959005     PISSN: 00283940     EISSN: 14321920     Source Type: Journal    
DOI: 10.1007/s00234-010-0769-3     Document Type: Article

References (40)

1. Louis DH, Ohgaki H, Wiestler OD, Cavanee WK (2007) WHO classification of tumours of the central nervous system. WHO/IARC, Lyon
2. H Ohgaki P Kleinues 2005 Population-based studies on incidence, survival rates, and genetic alterations in astrocytic and oligodendroglial gliomas J Neuropathol Exp Neurol 64 479 489 15977639 1:CAS:528:DC%2BD2MXlvVSgsbg%3D (Pubitemid 40781150)
3. N Cohen RO Weller 2007 Who classification of tumours of the central nervous system (4th edition) Neuropathol Appl Neurobiol 33 710 711 10.1111/j.1365-2990.2007.00905.x 10.1111/j.1365-2990.2007.00905.x
4. Demuth T, Berens ME (2006) Molecular genetics of brain tumors-an overview. In: Newton HB (ed) Handbook of brain tumor chemotherapy, 1st edn. Academic, San Diego, pp 115-122
5. D Le Bihan E Breton D Lallemand P Grenier E Cabanis M Laval-Jeantet 1986 MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders Radiology 161 401 407 3763909 (Pubitemid 17173295)
6. PJ Basser C Pierpaoli 1996 Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI J Magn Reson B 111 209 219 10.1006/jmrb.1996.0086 8661285 10.1006/jmrb.1996.0086 1:CAS:528: DyaK28Xjs1CksLY%3D (Pubitemid 126758682)
7. SY Chun CL Kun Y Xuan MJ Xun W Qin 2005 Diffusion tensor tractography in patients with cerebral tumors: a helpful technique for neurosurgical planning and postoperative assessment Eur J Radiol 56 197 204 10.1016/j.ejrad.2005.04.010 (Pubitemid 41483019)
8. SJ Price 2007 The role of advanced MR imaging in understanding brain tumour pathology Br J Neurosurg 21 562 575 18071983 10.1080/02688690701700935 (Pubitemid 350249196)
9. J Rees 2003 Advances in magnetic resonance imaging of brain tumours Curr Opin Neurol 16 643 650 14624071 10.1097/00019052-200312000-00001 (Pubitemid 38429236)
10. S Sinha ME Bastin IR Whittle JM Wardlaw 2002 Diffusion tensor MR imaging of high-grade cerebral gliomas AJNR Am J Neuroradiol 23 520 527 11950638 (Pubitemid 34411902)
11. A Tropine G Vucurevic P Delani, et al. 2004 Contribution of diffusion tensor imaging to delineation of gliomas and glioblastomas J Magn Reson Imaging 20 905 912 10.1002/jmri.20217 15558549 10.1002/jmri.20217 1:STN:280: DC%2BD2crptFGlsg%3D%3D (Pubitemid 39582805)
12. K Kono Y Inoue K Nakayama, et al. 2001 The role of diffusion-weighted imaging in patients with brain tumors AJNR Am J Neuroradiol 22 1081 1088 11415902 1:STN:280:DC%2BD3MzltFKmsQ%3D%3D (Pubitemid 32587420)
13. T Sugahara Y Korogi M Kochi, et al. 1999 Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas J Magn Reson Imaging 9 53 60 10030650 10.1002/(SICI)1522-2586(199901)9:1<53:: AID-JMRI7>3.0.CO;2-2 1:STN:280:DyaK1M7ltlOhsw%3D%3D (Pubitemid 29068231)
14. RD Zimmerman 2001 Is there a role for diffusion-weighted imaging in patients with brain tumors or is the "bloom off the rose"? AJNR Am J Neuroradiol 22 1013 1019 11415888 1:STN:280:DC%2BD3MzltFKnsg%3D%3D
15. IS Khayal TR McKnight C McGue, et al. 2009 Apparent diffusion coefficient and fractional anisotropy of newly diagnosed grade II gliomas NMR Biomed 22 449 455 19125391 10.1002/nbm.1357
16. T Inoue K Ogasawara T Beppu A Ogawa H Kabasawa 2005 Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas Clin Neurol Neurosurg 107 174 180 10.1016/j.clineuro.2004.06.011 15823671 10.1016/j.clineuro.2004.06.011
17. E Goebell S Paustenbach O Vaeterlein, et al. 2006 Low-grade and anaplastic gliomas: differences in architecture evaluated with diffusion-tensor MR imaging Radiology 239 217 222 10.1148/radiol.2383050059 16484348 10.1148/radiol.2383050059
18. R Murakami T Hirai T Sugahara, et al. 2009 Grading astrocytic tumors by using apparent diffusion coefficient parameters: superiority of a one- versus two-parameter pilot Radiology 251 838 845 19318585 10.1148/radiol.2513080899
19. R Verma EI Zacharaki Y Ou, et al. 2008 Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images Acad Radiol 15 966 977 10.1016/j.acra.2008.01.029 18620117 10.1016/j.acra.2008.01.029 (Pubitemid 351938736)
20. KE Emblem D Scheie P Due-Tonnessen, et al. 2008 Histogram analysis of MR imaging-derived cerebral blood volume maps: combined glioma grading and identification of low-grade oligodendroglial subtypes AJNR Am J Neuroradiol 29 1664 1670 10.3174/ajnr.A1182 18583405 10.3174/ajnr.A1182 1:STN:280: DC%2BD1cnkvVCnug%3D%3D
21. DJ Tozer HR Jäger N Danchaivijitr, et al. 2007 Apparent diffusion coefficient histograms may predict low-grade glioma subtype NMR Biomed 20 49 57 10.1002/nbm.1091 16986106 10.1002/nbm.1091 (Pubitemid 46332440)
22. M Law R Young J Babb E Pollack G Johnson 2007 Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas AJNR Am J Neuroradiol 28 761 766 17416835 1:STN:280:DC%2BD2s3htleqtw%3D%3D (Pubitemid 46608621)
23. J Dehmeshki AC Ruto S Arridge NC Silver DH Miller PS Tofts 2001 Analysis of MTR histograms in multiple sclerosis using principal components and multiple discriminant analysis Magn Reson Med 46 600 609 11550255 10.1002/mrm.1233 1:STN:280:DC%2BD3MrgtVKnsQ%3D%3D (Pubitemid 32831337)
24. J Dehmeshki MA Van Buchem GPT Bosma TWJ Huizinga PS Tofts 2002 Systemic lupus erythematosus: diagnostic application of magnetization transfer ratio histograms in patients with neuropsychiatric symptoms Radiology 222 722 728 11867791 10.1148/radiol.2223010413 (Pubitemid 34215220)
25. Pieper S, Lorensen B, Schroeder W, Kikinis R (2006) The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing community. Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro 1, pp 698-701 (Pubitemid 44732412)
26. W Wang CE Steward PM Desmond 2009 Diffusion tensor imaging in glioblastoma multiforme and brain metastases: the role of p, q, L, and fractional anisotropy AJNR Am J Neuroradiol 30 203 208 18842762 10.3174/ajnr.A1303 1:CAS:528:DC%2BD1MXmtlKru7k%3D
27. MD Abramoff PJ Magelhaes SJ Ram 2004 Image processing with image J Biophotonics Int 11 36 42
28. RA Fisher 1936 The use of multiple measurements in taxonomic problems Ann Eugen 7 179 188 10.1111/j.1469-1809.1936.tb02137.x
29. Ripley BD (1997) Pattern recognition and neural networks. Cambridge University Press, Cambridge, p 91
30. Webb A (1999) Statistical pattern recognition. Oxford University Press, New York, p 6
31. K Fukunaga R Hayes 1989 Estimation of classifier performance IEEE Trans Pattern Anal Mach Intell 11 1087 1097 10.1109/34.42839 (Pubitemid 20628923)
32. A Stadlbauer O Ganslandt R Buslei, et al. 2006 Gliomas: histopathologic evaluation of changes in directionality and magnitude of water diffusion at diffusion-tensor MR imaging Radiology 240 803 810 10.1148/radiol.2403050937 16926329 10.1148/radiol.2403050937 (Pubitemid 44267338)
33. T Beppu T Inoue Y Shibata, et al. 2005 Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas Surg Neurol 63 56 61 10.1016/j.surneu.2004.02.034 15639528 10.1016/j.surneu.2004.02.034 (Pubitemid 40082437)
34. JA Calvar FJ Meli C Romero, et al. 2005 Characterization of brain tumors by MRS, DWI and ki-67 labeling index J Neurooncol 72 273 280 15937653 10.1007/s11060-004-3342-2 1:STN:280:DC%2BD2M3ptFWktw%3D%3D (Pubitemid 40867413)
35. S Higano X Yun T Kumabe, et al. 2006 Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis Radiology 241 839 846 10.1148/radiol.2413051276 17032910 10.1148/radiol.2413051276 (Pubitemid 46190551)
36. Y Mardor Y Roth A Ocherashvilli, et al. 2004 Pretreatment prediction of brain tumors' response to radiation therapy using high b-value diffusion-weighted MRI Neoplasia 6 136 142 15140402 10.1593/neo.03349 (Pubitemid 38544601)
37. WB Pope HJ Kim J Huo, et al. 2009 Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment Radiology 252 182 189 19561256 10.1148/radiol.2521081534
38. HY Lee D Na, et al. 2008 Diffusion-tensor imaging for glioma grading at 3-T magnetic resonance imaging: analysis of fractional anisotropy and mean diffusivity J Comput Assist Tomogr 32 298 303 10.1097/RCT.0b013e318076b44d 18379322 10.1097/RCT.0b013e318076b44d (Pubitemid 351489457)
39. J Ferda J Kastner P Mukenšnabl, et al. 2010 Diffusion tensor magnetic resonance imaging of glial brain tumors Eur J Radiol 74 428 436 19394780 10.1016/j.ejrad.2009.03.030
40. H Arvinda C Kesavadas P Sarma, et al. 2009 Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging J Neurooncol 94 87 96 19229590 10.1007/s11060-009-9807-6 1:STN:280:DC%2BD1MvmtVGktw%3D%3D