Skip to main content

Advertisement

Log in

Quantitative evaluation of diffusion tensor imaging for clinical management of glioma

  • Review
  • Published:
Neurosurgical Review Aims and scope Submit manuscript

Abstract

Diffusion tensor imaging (DTI), assessing physiological motion of water in vivo, provides macroscopic view of microstructures of white matter in the central nervous system, and such imaging technique had been extensively used for the clinical treatment and research of glioma. This review mainly focuses on illuminating the merits of quantitative evaluation of DTI for glioma management. The content of the article includes DTI’s application on tissue characterization, white matter tracts mapping, radiotherapy delineation, post-therapy outcome assessment, and multimodal imaging. At last, we elucidate a synoptic presentation of DTI limitation, which is critical for physicians making DTI-based clinical decisions in glioma management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Abdullah KG, Lubelski D, Nucifora PGP, Brem S (2013) Use of diffusion tensor imaging in glioma resection. Neurosurg Focus 34:E1. https://doi.org/10.3171/2013.1.FOCUS12412

    Article  PubMed  Google Scholar 

  2. Agarwal A, Kumar S, Narang J, Schultz L, Mikkelsen T, Wang S, Siddiqui S, Poptani H, Jain R (2013) Morphologic MRI features, diffusion tensor imaging and radiation dosimetric analysis to differentiate pseudo-progression from early tumor progression. J Neuro-Oncol 112:413–420. https://doi.org/10.1007/s11060-013-1070-1

    Article  Google Scholar 

  3. Ahn SJ, Shin HJ, Chang J-H, Lee S-K (2014) Differentiation between primary cerebral lymphoma and glioblastoma using the apparent diffusion coefficient: comparison of three different ROI methods. PLoS One 9:e112948. https://doi.org/10.1371/journal.pone.0112948

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Beppu T, Inoue T, Shibata Y, Kurose A, Arai H, Ogasawara K, Ogawa A, Nakamura S, Kabasawa H (2003) Measurement of fractional anisotropy using diffusion tensor MRI in supratentorial astrocytic tumors. J Neuro-Oncol 63:109–116. https://doi.org/10.1023/A:1023977520909

    Article  Google Scholar 

  5. Berberat J, McNamara J, Remonda L, Bodis S, Rogers S (2014) Diffusion tensor imaging for target volume definition in glioblastoma multiforme. Strahlenther Onkol 190:939–943. https://doi.org/10.1007/s00066-014-0676-3

    Article  PubMed  Google Scholar 

  6. Berntsen EM, Gulati S, Solheim O, Kvistad KA, Torp SH, Selbekk T, Unsgård G, Håberg AK (2010) Functional magnetic resonance imaging and diffusion tensor tractography incorporated into an intraoperative 3-dimensional ultrasound-based neuronavigation system: impact on therapeutic strategies, extent of resection, and clinical outcome. Neurosurgery 67:251–264. https://doi.org/10.1227/01.NEU.0000371731.20246.AC

    Article  PubMed  Google Scholar 

  7. Bian W, Khayal IS, Lupo JM, McGue C, Vandenberg S, Lamborn KR, Chang SM, Cha S, Nelson SJ (2009) Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging. Transl Oncol 2:271–280. https://doi.org/10.1593/tlo.09178

    Article  PubMed  PubMed Central  Google Scholar 

  8. Chapman CH, Nazem-Zadeh M, Lee OE, Schipper MJ, Tsien CI, Lawrence TS, Cao Y (2013) Regional variation in brain white matter diffusion index changes following chemoradiotherapy: a prospective study using tract-based spatial statistics. PLoS One 8:e57768. https://doi.org/10.1371/journal.pone.0057768

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Chen Y, Shi Y, Song Z (2010) Differences in the architecture of low-grade and high-grade gliomas evaluated using fiber density index and fractional anisotropy. J Clin Neurosci 17:824–829. https://doi.org/10.1016/j.jocn.2009.11.022

    Article  PubMed  Google Scholar 

  10. Chen F, Zhang X, Li M, Wang R, Wang HT, Zhu F, Lu DJ, Zhao H, Li JW, Xu Y, Zhu B, Zhang B (2012) Axial diffusivity and tensor shape as early markers to assess cerebral white matter damage caused by brain tumors using quantitative diffusion tensor tractography. CNS Neurosci Ther 18:667–673. https://doi.org/10.1111/j.1755-5949.2012.00354.x

    Article  PubMed  PubMed Central  Google Scholar 

  11. Chen X, Xu BN, Meng X, Zhang J, Yu X, Zhou D (2012) Dual-room 1.5-T intraoperative magnetic resonance imaging suite with a movable magnet: implementation and preliminary experience. Neurosurg Rev 35:95–109. https://doi.org/10.1007/s10143-011-0336-3

    Article  CAS  PubMed  Google Scholar 

  12. Chen Z, Tie Y, Olubiyi O, Rigolo L, Mehrtash A, Norton I, Pasternak O, Rathi Y, Golby AJ, O’Donnell LJ (2015) Reconstruction of the arcuate fasciculus for surgical planning in the setting of peritumoral edema using two-tensor unscented Kalman filter tractography. NeuroImage: Clin 7:815–822. https://doi.org/10.1016/j.nicl.2015.03.009

    Article  Google Scholar 

  13. Chenevert TL, Ross BD (2009) Diffusion imaging for therapy response assessment of brain tumor. Neuroimaging Clin N Am 19:559–571. https://doi.org/10.1016/j.nic.2009.08.009

    Article  PubMed  PubMed Central  Google Scholar 

  14. Cohen MH, Shen YL, Keegan P, Pazdur R (2009) FDA drug approval summary: bevacizumab (Avastin) as treatment of recurrent glioblastoma multiforme. Oncologist 14:1131–1138. https://doi.org/10.1634/theoncologist.2009-0121

    Article  CAS  PubMed  Google Scholar 

  15. Concha L (2013) A macroscopic view of microstructure: using diffusion-weighted images to infer damage, repair, and plasticity of white matter. Neuroscience 276:14–28. https://doi.org/10.1016/j.neuroscience.2013.09.004

    Article  CAS  PubMed  Google Scholar 

  16. Conti A, Pontoriero A, Ricciardi GK, Granata F, Vinci S, Angileri FF, Pergolizzi S, Alafaci C, Rizzo V, Quartarone A, Germanò A, Foroni RI, De Renzis C, Tomasello F (2013) Integration of functional neuroimaging in CyberKnife radiosurgery: feasibility and dosimetric results. Neurosurg Focus 34:E5. https://doi.org/10.3171/2013.2.FOCUS12414

    Article  PubMed  Google Scholar 

  17. De Belder FE, Oot AR, Van Hecke W, Venstermans C, Menovsky T, Van Marck V, Van Goethem J, Van den Hauwe L, Vandekerckhove M, Parizel PM (2012) Diffusion tensor imaging provides an insight into the microstructure of meningiomas, high-grade gliomas, and peritumoral edema. J Comput Assist Tomogr 36:577–582. https://doi.org/10.1097/RCT.0b013e318261e913

    Article  PubMed  Google Scholar 

  18. Dhermain F (2014) Radiotherapy of high-grade gliomas: current standards and new concepts, innovations in imaging and radiotherapy, and new therapeutic approaches. Chin J Cancer 33:16–24. https://doi.org/10.5732/cjc.013.10217

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Dimou S, Battisti R a, Hermens DF, Lagopoulos J (2013) A systematic review of functional magnetic resonance imaging and diffusion tensor imaging modalities used in presurgical planning of brain tumour resection. Neurosurg Rev 36:205–214. https://doi.org/10.1007/s10143-012-0436-8

    Article  CAS  PubMed  Google Scholar 

  20. Eichinger P, Alberts E, Delbridge C, Trebeschi S, Valentinitsch A, Bette S, Huber T, Gempt J, Meyer B, Schlegel J, Zimmer C, Kirschke JS, Menze BH, Wiestler B (2017) Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas. Sci Rep 7:13396. https://doi.org/10.1038/s41598-017-13679-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Ferda J, Kastner J, Mukenšnabl P, Choc M, Horemužová J, Ferdová E, Kreuzberg B (2010) Diffusion tensor magnetic resonance imaging of glial brain tumors. Eur J Radiol 74:428–436. https://doi.org/10.1016/j.ejrad.2009.03.030

    Article  PubMed  Google Scholar 

  22. Field AS (2005) Diffusion tensor imaging at the crossroads: fiber tracking meets tissue characterization in brain tumors. Am J Neuroradiol 26:2168–2169

    PubMed  Google Scholar 

  23. Field AS, Alexander AL (2004) Diffusion tensor imaging in cerebral tumor diagnosis and therapy. Top Magn Reson Imaging 15:315–324. https://doi.org/10.1097/00002142-200410000-00004

    Article  PubMed  Google Scholar 

  24. Fudaba H, Shimomura T, Abe T, Matsuta H, Momii Y, Sugita K, Ooba H, Kamida T, Hikawa T, Fujiki M (2014) Comparison of multiple parameters obtained on 3T pulsed arterial spin-labeling, diffusion tensor imaging, and MRS and the Ki-67 labeling index in evaluating glioma grading. AJNR Am J Neuroradiol 35:14–18. https://doi.org/10.3174/ajnr.A4018

    Article  Google Scholar 

  25. Goebell E, Fiehler J, Ding XQ, Paustenbach S, Nietz S, Heese O, Kucinski T, Hagel C, Westphal M, Zeumer H (2006) Disarrangement of fiber tracts and decline of neuronal density correlate in glioma patients—a combined diffusion tensor imaging and 1H-MR spectroscopy study. Am J Neuroradiol 27:1426–1431

    CAS  PubMed  Google Scholar 

  26. Goebell E, Paustenbach S, Vaeterlein O, Ding X-Q, Heese O, Fiehler J, Kucinski T, Hagel C, Westphal M, Zeumer H (2006) Low-grade and anaplastic gliomas: differences in architecture evaluated with diffusion-tensor MR imaging. Radiology 239:217–222. https://doi.org/10.1148/radiol.2383050059

    Article  PubMed  Google Scholar 

  27. Gulati S, Berntsen EM, Solheim O, Kvistad KA, Håberg A, Selbekk T, Torp SH, Unsgaard G (2009) Surgical resection of high-grade gliomas in eloquent regions guided by blood oxygenation level dependent functional magnetic resonance imaging, diffusion tensor tractography, and intraoperative navigated 3D ultrasound. Minim Invasive Neurosurg 52:17–24. https://doi.org/10.1055/s-0028-1104566

    Article  CAS  PubMed  Google Scholar 

  28. Guo AC, Cummings TJ, Dash RC, Provenzale JM (2002) Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 224:177–183. https://doi.org/10.1148/radiol.2241010637

    Article  PubMed  Google Scholar 

  29. Hagmann P, Jonasson L, Maeder P, Thiran J-P, Wedeen VJ, Meuli R (2006) Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond. Radiographics 26(Suppl 1):S205–S223. https://doi.org/10.1148/rg.26si065510

    Article  PubMed  Google Scholar 

  30. Haris M, Kumar S, Raj MK, Das KJM, Sapru S, Behari S, Rathore RKS, Narayana PA, Gupta RK (2008) Serial diffusion tensor imaging to characterize radiation-induced changes in normal-appearing white matter following radiotherapy in patients with adult low-grade gliomas. Radiat Med 26:140–150. https://doi.org/10.1007/s11604-007-0209-4

    Article  PubMed  Google Scholar 

  31. Hoefnagels FWA, De Witt Hamer P, Sanz-Arigita E, Idema S, Kuijer JPA, Pouwels PJW, Barkhof F, Vandertop WP (2014) Differentiation of edema and glioma infiltration: proposal of a DTI-based probability map. J Neuro-Oncol 120:187–198. https://doi.org/10.1007/s11060-014-1544-9

    Article  Google Scholar 

  32. Huston JM, Field AS (2013) Clinical applications of diffusion tensor imaging. Magn Reson Imaging Clin N Am 21:279–298. https://doi.org/10.1016/j.mric.2012.12.003

    Article  PubMed  Google Scholar 

  33. Inoue T, Ogasawara K, Beppu T, Ogawa A, Kabasawa H (2005) Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas. Clin Neurol Neurosurg 107:174–180. https://doi.org/10.1016/j.clineuro.2004.06.011

    Article  PubMed  Google Scholar 

  34. Jakab A, Molnár P, Emri M, Berényi E (2011) Glioma grade assessment by using histogram analysis of diffusion tensor imaging-derived maps. Neuroradiology 53:483–491. https://doi.org/10.1007/s00234-010-0769-3

    Article  PubMed  Google Scholar 

  35. Jakola AS, Unsgård G, Solheim O (2011) Quality of life in patients with intracranial gliomas: the impact of modern image-guided surgery. J Neurosurg 114:1622–1630. https://doi.org/10.3171/2011.1.JNS101657

    Article  PubMed  Google Scholar 

  36. Jellison BJ, Field AS, Medow J, Lazar M, Salamat MS, Alexander AL (2004) Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. AJNR Am J Neuroradiol 25:356–369. https://doi.org/10.1038/nrn2776

    Article  CAS  PubMed  Google Scholar 

  37. Jena R, Price SJ, Baker C, Jefferies SJ, Pickard JD, Gillard JH, Burnet NG (2005) Diffusion tensor imaging: possible implications for radiotherapy treatment planning of patients with high-grade glioma. Clin Oncol (R Coll Radiol) 17:581–590. https://doi.org/10.1016/j.clon.2005.04.012

    Article  CAS  Google Scholar 

  38. Jolapara M, Patro SN, Kesavadas C, Saini J, Thomas B, Gupta AK, Bodhey N, Radhakrishnan VV (2011) Can diffusion tensor metrics help in preoperative grading of diffusely infiltrating astrocytomas? A retrospective study of 36 cases. Neuroradiology 53:63–68. https://doi.org/10.1007/s00234-010-0761-y

    Article  PubMed  Google Scholar 

  39. Kallenberg K, Goldmann T, Menke J, Strik H, Bock HC, Stockhammer F, Buhk JH, Frahm J, Dechent P, Knauth M (2013) Glioma infiltration of the corpus callosum: early signs detected by DTI. J Neuro-Oncol 112:217–222. https://doi.org/10.1007/s11060-013-1049-y

    Article  CAS  Google Scholar 

  40. Khatua S, Hou P, Bodiwala R, Wolff J, Hamilton J, Patil S, Zaky W, Mahajan A, Ketonen L (2014) Preliminary experience with diffusion tensor imaging before and after re-irradiation treatments in children with progressive diffuse pontine glioma. Childs Nerv Syst 30:925–930. https://doi.org/10.1007/s00381-013-2350-y

    Article  PubMed  Google Scholar 

  41. Kinoshita M, Hashimoto N, Goto T, Kagawa N, Kishima H, Izumoto S, Tanaka H, Fujita N, Yoshimine T (2008) Fractional anisotropy and tumor cell density of the tumor core show positive correlation in diffusion tensor magnetic resonance imaging of malignant brain tumors. NeuroImage 43:29–35. https://doi.org/10.1016/j.neuroimage.2008.06.041

    Article  CAS  PubMed  Google Scholar 

  42. Kinoshita M, Hashimoto N, Goto T, Yanagisawa T, Okita Y, Kagawa N, Kishima H, Tanaka H, Fujita N, Shimosegawa E, Hatazawa J, Yoshimine T (2009) Use of fractional anisotropy for determination of the cut-off value in 11C-methionine positron emission tomography for glioma. NeuroImage 45:312–318. https://doi.org/10.1016/j.neuroimage.2008.11.034

    Article  PubMed  Google Scholar 

  43. Kinoshita M, Goto T, Okita Y, Kagawa N, Kishima H, Hashimoto N, Yoshimine T (2010) Diffusion tensor-based tumor infiltration index cannot discriminate vasogenic edema from tumor-infiltrated edema. J Neuro-Oncol 96:409–415. https://doi.org/10.1007/s11060-009-9979-0

    Article  Google Scholar 

  44. Knisely JPS, Chu a C, Fulbright RK, Constable RT (2009) Q space analysis of glioma diffusion tensor imaging (DTI) for treatment response monitoring. Int J Radiat Oncol Biol Phys 75:S245. https://doi.org/10.1016/j.ijrobp.2009.07.564

    Article  Google Scholar 

  45. Lee S-K (2012) Diffusion tensor and perfusion imaging of brain tumors in high-field MR imaging. Neuroimaging Clin N Am 22:123–134. https://doi.org/10.1016/j.nic.2012.02.001

    Article  PubMed  Google Scholar 

  46. Lipton M, Ph D, Mukherjee P, Welker K (2012) ASFNR guidelines for clinical application of diffusion tensor imaging. Am Soc Funct Neuroradiol

  47. Liu X, Tian W, Kolar B, Yeaney G a, Qiu X, Johnson MD, Ekholm S (2011) MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas. Neuro-Oncology 13:447–455. https://doi.org/10.1093/neuonc/noq197

    Article  PubMed  PubMed Central  Google Scholar 

  48. Lu S, Ahn D, Johnson G, Law M (2004) Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema : introduction of the tumor infiltration index. Radiology 232:221–228

    Article  Google Scholar 

  49. Ma L, Song ZJ (2013) Differentiation between low-grade and high-grade glioma using combined diffusion tensor imaging metrics. Clin Neurol Neurosurg 115:2489–2495. https://doi.org/10.1016/j.clineuro.2013.10.003

    Article  PubMed  Google Scholar 

  50. Malcolm JG, Shenton ME, Rathi Y (2010) Filtered multitensor tractography. IEEE Trans Med Imaging 29:1664–1675. https://doi.org/10.1109/TMI.2010.2048121

    Article  PubMed  PubMed Central  Google Scholar 

  51. Min ZG, Niu C, Rana N, Ji HM, Zhang M (2013) Differentiation of pure vasogenic edema and tumor-infiltrated edema in patients with peritumoral edema by analyzing the relationship of axial and radial diffusivities on 3.0T MRI. Clin Neurol Neurosurg 115:1366–1370. https://doi.org/10.1016/j.clineuro.2012.12.031

    Article  PubMed  Google Scholar 

  52. Misaki T, Beppu T, Inoue T, Ogasawara K, Ogawa A, Kabasawa H (2004) Use of fractional anisotropy value by diffusion tensor MRI for preoperative diagnosis of astrocytic tumors: case report. J Neuro-Oncol 70:343–348. https://doi.org/10.1007/s11060-004-6594-y

    Article  Google Scholar 

  53. Morita K, Matsuzawa H, Fujii Y, Tanaka R, Kwee IL, Nakada T (2005) Diffusion tensor analysis of peritumoral edema using lambda chart analysis indicative of the heterogeneity of the microstructure within edema. J Neurosurg 102:336–341. https://doi.org/10.3171/jns.2005.102.2.0336

    Article  PubMed  Google Scholar 

  54. Nagesh V, Tsien CI, Chenevert TL, Ross BD, Lawrence TS, Junick L, Cao Y (2008) Radiation-induced changes in normal-appearing white matter in patients with cerebral tumors: a diffusion tensor imaging study. Int J Radiat Oncol Biol Phys 70:1002–1010. https://doi.org/10.1016/j.ijrobp.2007.08.020

    Article  PubMed  PubMed Central  Google Scholar 

  55. O’Donnell LJ, Pasternak O (2015) Does diffusion MRI tell us anything about the white matter? An overview of methods and pitfalls. Schizophr Res 161:133–141. https://doi.org/10.1016/j.schres.2014.09.007

    Article  PubMed  Google Scholar 

  56. Oguz I, Farzinfar M, Matsui J, Budin F, Liu Z, Gerig G, Johnson HJ, Styner M (2014) DTIPrep: quality control of diffusion-weighted images. Front Neuroinform 8:4. https://doi.org/10.3389/fninf.2014.00004

    Article  PubMed  PubMed Central  Google Scholar 

  57. Ozturk-Isik E, Pirzkall A, Lamborn KR, Cha S, Chang SM, Nelson SJ (2012) Spatial characteristics of newly diagnosed grade 3 glioma assessed by magnetic resonance metabolic and diffusion tensor imaging. Transl Oncol 5:10–18. https://doi.org/10.1593/tlo.11208

    Article  PubMed  PubMed Central  Google Scholar 

  58. Paldino MJ, Desjardins a, Friedman HS, Vredenburgh JJ, Barboriak DP (2012) A change in the apparent diffusion coefficient after treatment with bevacizumab is associated with decreased survival in patients with recurrent glioblastoma multiforme. Br J Radiol 85:382–389. https://doi.org/10.1259/bjr/24774491

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Pantelis E, Papadakis N, Verigos K, Stathochristopoulou I, Antypas C, Lekas L, Tzouras A, Georgiou E, Salvaras N (2010) Integration of functional MRI and white matter tractography in stereotactic radiosurgery clinical practice. Int J Radiat Oncol Biol Phys 78:257–267. https://doi.org/10.1016/j.ijrobp.2009.10.064

    Article  PubMed  Google Scholar 

  60. Parvez K, Parvez A, Zadeh G (2014) The diagnosis and treatment of pseudoprogression, radiation necrosis and brain tumor recurrence. Int J Mol Sci 15:11832–11846. https://doi.org/10.3390/ijms150711832

    Article  PubMed  PubMed Central  Google Scholar 

  61. Pasternak O, Sochen N, Gur Y, Intrator N, Assaf Y (2009) Free water elimination and mapping from diffusion MRI. Magn Reson Med 62:717–730. https://doi.org/10.1002/mrm.22055

    Article  PubMed  Google Scholar 

  62. Pierpaoli C, Walker L, Irfanoglu MO, Barnett a., Basser P, Chang L-C, Koay C, Pajevic S, Rohde G, Sarlls J, Wu M (2010) TORTOISE: an integrated software package for processing of diffusion MRI data. ISMRM Annual Meeting Proceedings, vol 18. p 1597

  63. Potgieser ARE, Wagemakers M, Van Hulzen ALJ, De Jong BM, Hoving EW, Groen RJM (2014) The role of diffusion tensor imaging in brain tumor surgery: a review of the literature. Clin Neurol Neurosurg 124:51–58. https://doi.org/10.1016/j.clineuro.2014.06.009

    Article  PubMed  Google Scholar 

  64. Prabhu SP, Ng S, Vajapeyam S, Kieran MW, Pollack IF, Geyer R, Haas-Kogan D, Boyett JM, Kun L, Poussaint TY (2011) DTI assessment of the brainstem white matter tracts in pediatric BSG before and after therapy: a report from the pediatric brain tumor consortium. Childs Nerv Syst 27:11–18. https://doi.org/10.1007/s00381-010-1323-7

    Article  PubMed  Google Scholar 

  65. Price SJ, Peña a, Burnet NG, Pickard JD, Gillard JH (2004) Detecting glioma invasion of the corpus callosum using diffusion tensor imaging. Br J Neurosurg 18:391–395. https://doi.org/10.1080/02688690400005255

    Article  CAS  PubMed  Google Scholar 

  66. Price SJ, Jena R, Burnet NG, Hutchinson PJ, Dean a F, Peña a, Pickard JD, Carpenter TA, Gillard JH (2006) Improved delineation of glioma margins and regions of infiltration with the use of diffusion tensor imaging: an image-guided biopsy study. Am J Neuroradiol 27:1969–1974. https://doi.org/10.1016/S0513-5117(08)79144-0

    Article  CAS  PubMed  Google Scholar 

  67. Price SJ, Jena R, Burnet NG, Carpenter TA, Pickard JD, Gillard JH (2007) Predicting patterns of glioma recurrence using diffusion tensor imaging. Eur Radiol 17:1675–1684. https://doi.org/10.1007/s00330-006-0561-2

    Article  PubMed  Google Scholar 

  68. Provenzale JM, McGraw P, Mhatre P, Guo AC, Delong D (2004) Peritumoral brain regions in gliomas and meningiomas: investigation with isotropic diffusion-weighted MR imaging and diffusion-tensor MR imaging. Radiology 232:451–460. https://doi.org/10.1148/radiol.2322030959

    Article  PubMed  Google Scholar 

  69. Pujol S, Wells W, Pierpaoli C, Brun C, Gee J, Cheng G, Vemuri B, Commowick O, Prima S, Stamm A, Goubran M, Khan A, Peters T, Neher P, Maier-Hein KH, Shi Y, Tristan-Vega A, Veni G, Whitaker R, Styner M, Westin C-F, Gouttard S, Norton I, Chauvin L, Mamata H, Gerig G, Nabavi A, Golby A, Kikinis R (2015) The DTI Challenge: toward standardized evaluation of diffusion tensor imaging tractography for neurosurgery. J Neuroimaging 25:875–882. https://doi.org/10.1111/jon.12283

    Article  PubMed  PubMed Central  Google Scholar 

  70. Rosenschöld PM a F, Engelholm S, Ohlhues L, Law I, Vogelius I, Engelholm SA (2011) Photon and proton therapy planning comparison for malignant glioma based on CT, FDG-PET, DTI-MRI and fiber tracking. Acta Oncol 50:777–783. https://doi.org/10.3109/0284186X.2011.584555

    Article  Google Scholar 

  71. Roy B, Gupta RK, Maudsley AA, Awasthi R, Sheriff S, Gu M, Husain N, Mohakud S, Behari S, Pandey CM, RKS R, Spielman DM, Alger JR (2013) Utility of multiparametric 3-T MRI for glioma characterization. Neuroradiology 55:603–613. https://doi.org/10.1007/s00234-013-1145-x

    Article  PubMed  PubMed Central  Google Scholar 

  72. Shah R, Vattoth S, Jacob R, Manzil FFP, O’Malley JP, Borghei P, Patel BN, Cure JK (2012) Radiation necrosis in the brain: imaging features and differentiation from tumor recurrence. Radiographics 32:1343–1359. https://doi.org/10.1148/rg.325125002

    Article  PubMed  Google Scholar 

  73. Sijens PE, Heesters M a a M, Enting RH, van der Graaf WT a, Potze JH, Irwan R, Meiners LC, Oudkerk M (2007) Diffusion tensor imaging and chemical shift imaging assessment of heterogeneity in low grade glioma under temozolomide chemotherapy. Cancer Investig 25:706–710. https://doi.org/10.1080/07357900701564028

    Article  CAS  Google Scholar 

  74. Sinha S, Bastin ME, Whittle IR, Wardlaw JM (2002) Diffusion tensor MR imaging of high-grade cerebral gliomas. Am J Neuroradiol 23:520–527

    PubMed  Google Scholar 

  75. Smitha KA, Gupta AK, Jayasree RS (2013) Total magnitude of diffusion tensor imaging as an effective tool for the differentiation of glioma. Eur J Radiol 82:857–861. https://doi.org/10.1016/j.ejrad.2012.12.027

    Article  PubMed  Google Scholar 

  76. Stadlbauer A, Buchfelder M (2010) Fiber density mapping of gliomas: histopathologic evaluation of a diffusion-tensor imaging data processing method. Radiology 257:846–853

    Article  Google Scholar 

  77. Stadlbauer A, Ganslandt O, Buslei R, Hammen T, Gruber S, Moser E, Buchfelder M, Salomonowitz E, Nimsky C (2006) Gliomas: histopathologic evaluation of changes in directionality and magnitude of water diffusion at diffusion-tensor MR imaging. Radiology 240:803–810. https://doi.org/10.1148/radiol.2403050937

    Article  PubMed  Google Scholar 

  78. Stadlbauer A, Nimsky C, Buslei R, Salomonowitz E, Hammen T, Buchfelder M, Moser E, Ernst-Stecken A, Ganslandt O (2007) Diffusion tensor imaging and optimized fiber tracking in glioma patients: histopathologic evaluation of tumor-invaded white matter structures. NeuroImage 34:949–956. https://doi.org/10.1016/j.neuroimage.2006.08.051

    Article  PubMed  Google Scholar 

  79. Stadlbauer A, Pölking E, Prante O, Nimsky C, Buchfelder M, Kuwert T, Linke R, Doelken M, Ganslandt O (2009) Detection of tumour invasion into the pyramidal tract in glioma patients with sensorimotor deficits by correlation of 18F-fluoroethyl-L-tyrosine PET and magnetic resonance diffusion tensor imaging. Acta Neurochir 151:1061–1069. https://doi.org/10.1007/s00701-009-0378-2

    Article  PubMed  Google Scholar 

  80. Stadlbauer A, Hammen T, Grummich P, Buchfelder M, Kuwert T, Dörfler A, Nimsky C, Ganslandt O (2011) Classification of peritumoral fiber tract alterations in gliomas using metabolic and structural neuroimaging. J Nucl Med 52:1227–1234. https://doi.org/10.2967/jnumed.111.090597

    Article  PubMed  Google Scholar 

  81. Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJB, Belanger K, Brandes AA, Marosi C, Bogdahn U, Curschmann J, Janzer RC, Ludwin SK, Gorlia T, Allgeier A, Lacombe D, Cairncross JG, Eisenhauer E, Mirimanoff RO (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352:987–996. https://doi.org/10.1056/NEJMoa043330

    Article  CAS  PubMed  Google Scholar 

  82. Toh CH, Castillo M, Wong a MC, Wei KC, Wong HF, Ng SH, Wan YL (2008) Primary cerebral lymphoma and glioblastoma multiforme: differences in diffusion characteristics evaluated with diffusion tensor imaging. Am J Neuroradiol 29:471–475. https://doi.org/10.3174/ajnr.A0872

    Article  PubMed  Google Scholar 

  83. Ulrich NH, Kockro RA, Bellut D, Amaxopoulou C, Bozinov O, Burkhardt J-K, Sarnthein J, Kollias SS, Bertalanffy H (2014) Brainstem cavernoma surgery with the support of pre- and postoperative diffusion tensor imaging: initial experiences and clinical course of 23 patients. Neurosurg Rev 37:481–492. https://doi.org/10.1007/s10143-014-0550-x

    Article  PubMed  Google Scholar 

  84. Verde AR, Budin F, Berger J-B, Gupta A, Farzinfar M, Kaiser A, Ahn M, Johnson H, Matsui J, Hazlett HC, Sharma A, Goodlett C, Shi Y, Gouttard S, Vachet C, Piven J, Zhu H, Gerig G, Styner M (2014) UNC-Utah NA-MIC framework for DTI fiber tract analysis. Front Neuroinform 7:51. https://doi.org/10.3389/fninf.2013.00051

    Article  PubMed  PubMed Central  Google Scholar 

  85. Verma N, Cowperthwaite MC, Burnett MG, Markey MK (2013) Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies. Neuro-Oncology 15:515–534. https://doi.org/10.1093/neuonc/nos307

    Article  PubMed  PubMed Central  Google Scholar 

  86. Wang W, Steward CE, Desmond PM (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. https://doi.org/10.3174/ajnr.A1303

    Article  CAS  PubMed  Google Scholar 

  87. Wang S, Kim SJ, Poptani H, Woo JH, Mohan S, Jin R, Voluck MR, O’Rourke DM, Wolf RL, Melhem ER, Kim S (2014) Diagnostic utility of diffusion tensor imaging in differentiating glioblastomas from brain metastases. Am J Neuroradiol 39:928–934. https://doi.org/10.3174/ajnr.A3871

    Article  Google Scholar 

  88. White ML, Zhang Y, Yu F, Jaffar Kazmi SA (2011) Diffusion tensor MR imaging of cerebral gliomas: evaluating fractional anisotropy characteristics. AJNR Am J Neuroradiol 32:374–381. https://doi.org/10.3174/ajnr.A2267

    Article  CAS  PubMed  Google Scholar 

  89. Whitfield G a, Kennedy SR, Djoukhadar IK, Jackson a (2014) Imaging and target volume delineation in glioma. Clin Oncol 26:364–376. https://doi.org/10.1016/j.clon.2014.04.026

    Article  CAS  Google Scholar 

  90. Witwer BP, Moftakhar R, Hasan KM, Deshmukh P, Haughton V, Field A, Arfanakis K, Noyes J, Moritz CH, Meyerand ME, H a R, Alexander AL, Badie B (2002) Diffusion-tensor imaging of white matter tracts in patients with cerebral neoplasm. J Neurosurg 97:568–575. https://doi.org/10.3171/jns.2002.97.3.0568

    Article  PubMed  Google Scholar 

  91. Wu JS, Zhou LF, Tang WJ, Mao Y, Hu J, Song YY, Hong XN, Du GH (2007) Clinical evaluation and follow-up outcome of diffusion tensor imaging-based functional neuronavigation: a prospective, controlled study in patients with gliomas involving pyramidal tracts. Neurosurgery 61:935–948. https://doi.org/10.1227/01.neu.0000303189.80049.ab

    Article  PubMed  Google Scholar 

  92. Xu J-L, Li Y-L, Lian J-M, Dou S, Yan F-S, Wu H, Shi D (2010) Distinction between postoperative recurrent glioma and radiation injury using MR diffusion tensor imaging. Neuroradiology 52:1193–1199. https://doi.org/10.1007/s00234-010-0731-4

    Article  PubMed  Google Scholar 

  93. Yang G, Jones TL, Barrick TR, F a H (2014) Discrimination between glioblastoma multiforme and solitary metastasis using morphological features derived from the p: Q tensor decomposition of diffusion tensor imaging. NMR Biomed 27:1103–1111. https://doi.org/10.1002/nbm.3163

    Article  PubMed  Google Scholar 

  94. Yen PS, Teo BT, Chiu CH, Chen SC, Chiu TL, Su CF (2009) White matter tract involvement in brain tumors: a diffusion tensor imaging analysis. Surg Neurol 72:464–469. https://doi.org/10.1016/j.surneu.2009.05.008

    Article  PubMed  Google Scholar 

  95. Yeo SS, Jang SH (2012) Differences between the somatotopic corticospinal tract for the fingers and toes in the human brain. NeuroRehabilitation 31:395–399. https://doi.org/10.3233/NRE-2012-00809

    Article  PubMed  Google Scholar 

  96. Young RJ, Brennan N, Fraser JF, Brennan C (2010) Advanced imaging in brain tumor surgery. Neuroimaging Clin N Am 20:311–335. https://doi.org/10.1016/j.nic.2010.04.011

    Article  PubMed  Google Scholar 

  97. Zhao Y, Chen X, Wang F, Sun G, Wang Y, Song Z, Xu B (2012) Integration of diffusion tensor-based arcuate fasciculus fibre navigation and intraoperative MRI into glioma surgery. J Clin Neurosci 19:255–261. https://doi.org/10.1016/j.jocn.2011.03.041

    Article  CAS  PubMed  Google Scholar 

  98. Zikou AK, Alexiou GA, Kosta P, Goussia A, Astrakas L, Tsekeris P, Voulgaris S, Malamou-Mitsi V, Kyritsis AP, Argyropoulou MI (2012) Diffusion tensor and dynamic susceptibility contrast MRI in glioblastoma. Clin Neurol Neurosurg 114:607–612. https://doi.org/10.1016/j.clineuro.2011.12.022

    Article  PubMed  Google Scholar 

  99. Zou QG, Xu HB, Liu F, Guo W, Kong XC, Wu Y (2011) In the assessment of supratentorial glioma grade: the combined role of multivoxel proton MR spectroscopy and diffusion tensor imaging. Clin Radiol 66:953–960. https://doi.org/10.1016/j.crad.2011.05.001

    Article  PubMed  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (81701796) and the China Scholarship Council (CSC No. 201406200059).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ye Li.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

For this type of study informed consent is not required.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Zhang, W. Quantitative evaluation of diffusion tensor imaging for clinical management of glioma. Neurosurg Rev 43, 881–891 (2020). https://doi.org/10.1007/s10143-018-1050-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10143-018-1050-1

Keywords

Navigation