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Quantitative Analysis of Pyramidal Tracts in Brain Tumor Patients Using Diffusion Tensor Imaging

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Tumors of the Central Nervous System, Volume 4

Part of the book series: Tumors of the Central Nervous System ((TCNS,volume 4))

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Abstract

Diffusion Tensor Imaging (DTI) is an image modality that provides information about the nerve fiber tracts in the brain white matter. In this chapter, we describe the use of DTI to quantify the damage in fiber tracts due to brain tumors. A quantification method for this modality is useful to understand the neurological effects of the tumor in a given patient, such as motor and/or sensitive disorders, as well as to help in surgical planning for the resection of the tumor. The quantification of the state of fiber tracts and its comparison with the values obtained before resection and with healthy tracts, is also of paramount importance for the follow-up of the patient after tumor resection. As an example, we show the quantification of the pyramidal tract using two measures: integrity and connectivity. The fiber tract is automatically identified in any subject by means of a specific fiber tracking algorithm, so robust comparison between control subjects and patients can be performed, as well as comparison between the two hemispheres of a same subject. Diffusion tensor based measures are defined to quantify the state of fiber bundles, taking into account both the intrinsic properties of the fibers and the similarity to healthy control fibers. A 2D mapping of the tracts is also provided to perform comparisons among a given population, and to visually analyze the tract damages. Experiments show the results obtained in a set of 10 tumor patients, and 10 control subjects.

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References

  • Audoin B, Guye M, Reuter F, Duong M-VA, Confort-Gouny S, Malikova I, Soulier E, Viout P, Chérif AA, Cozzone PJ, Pelletier J, Ranjeva J-P (2007) Structure of WM bundles constituting the working memory system in early multiple sclerosis: a quantitative DTI tractography study. NeuroImage 36:1324–1330

    Article  PubMed  Google Scholar 

  • Basser P, Mattiello J, Le Bihan D (1994) MR diffusion tensor spectroscopy and imaging. Biophys J 66:259–267

    Article  PubMed  CAS  Google Scholar 

  • Cárdenes R, Muñoz-Moreno E, Sarabia-Herrero R, Rodríguez-Velasco M, Fuertes-Alja JJ, Martin-Fernandez M (2010a) Analysis of the pyramidal tract in tumor patients using diffusion tensor imaging, NeuroImage 50:27–39

    Article  PubMed  Google Scholar 

  • Cárdenes R, Muñoz-Moreno E, Tristan-Vega A, Martin-Fernandez M (2010b) Saturn: a software application of tensor utilities for research in neuroimage, Comput Meth Prog Biol 97:264–279

    Article  Google Scholar 

  • Correia S, Lee SY, Voorn T, Tate DF, Paul RH, Zhang S, Salloway SP, Malloy PF, Laidlaw DH (2008) Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI. NeuroImage 42:568–581

    Article  PubMed  Google Scholar 

  • Diehl B, Bush RM, Duncan JS, Piao Z, Tkach J, Lüders HO (2008) Abnormalities in diffusion tensor imaging of the uncinate fasciculus related to reduced memory in temporal lobe epilepsy. Epilepsia 49:1409–1418

    Article  PubMed  Google Scholar 

  • Hagler DJ, Ahmadi ME, Kuperman J, Holland D, McDonald CR, Halgren E, Dale AM (2009) Automated white-matter tractography using a probabilistic diffusion tensor atlas: application to temporal lobe epilepsy. Hum Brain Mapp 30:1535–1547

    Article  PubMed  Google Scholar 

  • Hagmann P, Thiran, J-P, Jonasson L, Vandergheynst P, Clarke S, Meuli R (2003) DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection. NeuroImage 19:545–554

    Article  PubMed  CAS  Google Scholar 

  • Hua K, Zhang J, Wakana S, Jiang H, Li X, Reich DS, Calabresi PA, Pekar JJ, van Zijl PCM, Mori S (2008) Tract probability maps in stereotaxic spaces: analysis of white matter anatomy and tract-specific quantification. NeuroImage 39:336–347

    Article  PubMed  Google Scholar 

  • Inoue T, Ogasawara K, Beppu T, Ogawa A, Kabasawa H (2005) Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas. Clin Neuro Neurosurg 107:174–180

    Article  Google Scholar 

  • 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

    Article  PubMed  CAS  Google Scholar 

  • Kubicki M, Park H, Westin CF, Nestor PG, Mulkern RV, Maier SE, Niznikiewicz M, Connor EE, Levitt JJ, Frumin M, Kikinis R, Jolesz FA, McCarley RW, Shenton ME 2005. DTI and MTR abnormalities in schizophrenia: Analysis of white matter integrity. NeuroImage 26:1109–1118

    Article  PubMed  CAS  Google Scholar 

  • Lawes INC, Barrick TR, Murugam V, Spierings N, Evans DR, Song M, Clark CA (2008) Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection. NeuroImage, 39:62–79

    Article  PubMed  Google Scholar 

  • McDonald CR, Ahmadi ME, Hagler DJ, Tecoma ES, Iragui VJ, Gharapetian L, Dale AM, Halgren E (2008) Diffusion tensor imaging correlates of memory and language impairments in temporal lobe epilepsy. Neurology 71:1869–1876

    Article  PubMed  CAS  Google Scholar 

  • Mori S, van Zijl PCM (2002) Fiber tracking: principles and strategies – a technical review. NMR Biomed 15:468–480

    Article  PubMed  Google Scholar 

  • Mori S, Wakana, S, Nagae-Poetscher LM, van Zijl PCM (2005) MRI atlas of human white matter. Elsevier, Amsterdam, The Netherlands

    Google Scholar 

  • Muñoz-Moreno E, Martin-Fernandez M (2009) Characterization of the similarity between diffusion tensors for image registration. Comput Biol Med 39:251–265

    Article  PubMed  Google Scholar 

  • O’Donnell L, Haker S, Westin CF (2002) New approaches to estimation of white matter connectivity in diffusion tensor MRI: elliptic PDEs and geodesics in a tensor-warped space. Proceedings of MICCAI 459–466, Tokyo, Japan

    Google Scholar 

  • Pagani E, Filippi M, Rocca MA, Horsfield MA (2005) A method for obtaining tract-specific diffusion tensor MRI measurements in the presence of disease: applications to patients with clinically isolated syndromes suggestive of multiple sclerosis. NeuroImage 26:258–265

    Article  PubMed  CAS  Google Scholar 

  • Partridge S, Mukherjee P, Berman J, Henry RG, Miller SP, Lu Y, Glenn OA, Ferreiro DM, Barkovich AJ, Vigneron DB (2005) Tractography-based quantification of diffusion tensor imaging parameters in white matter tracts of preterm newborns. J Magn Reson Imaging 22:467–474

    Article  PubMed  Google Scholar 

  • Pierpaoli C, Basser PJ (1996) Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 36:893–906

    Article  PubMed  CAS  Google Scholar 

  • Price SJ, Burnet NG, Donovan T, Green HAL, Peña A, Antoun NM, Pickard JD, Carpenter TA, Gillard JH, (2003) Diffusion tensor imaging of brain tumors at 3T: a potential tool for assessing white matter tract invasion? Clin Radiol 58:455–462

    Article  PubMed  CAS  Google Scholar 

  • Roosendal SD, Geurts JJG., Vrenken H, Hulst HE, Cover KS, Castelkins JA, Pouwels PJW, Barkhof F (2009) Regional DTI differences in multiple sclerosis patients. NeuroImage 44:1397–1403

    Article  Google Scholar 

  • Schonberg T, Pianka P, Hendler T, Pasternak O, Assaf Y (2006) Characterization of displaced white matter by brain tumors using combined DTI and fMRI. NeuroImage 30:1100–1111

    Article  PubMed  Google Scholar 

  • Skudlarski P, Jagannathan K, Calhoun VD, Hampson M, Skudlarska BA, Pearlson G (2008) Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations. NeuroImage 43:554–561

    Article  PubMed  Google Scholar 

  • Smith S M, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Cicarelli O, Cader MZ, Matthews PM, Behrens TEJ (2006) Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage 31:1487–1505

    Article  PubMed  Google Scholar 

  • Stejskal EO, Tanner JE (1965) Use of spin-echoes in a pulse magnetic field gradient to study anisotropic diffusion and flow. J Chem Phys 43:3597–3603

    Article  Google Scholar 

  • Song SK, Sun SW, Ju WK, Lin SJ, Cross AH, Neufeld AH (2003) Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. NeuroImage 20:1714–1722

    Article  PubMed  Google Scholar 

  • Sundgren PC, Dong Q, Gómez-Hassan D Mukherji SK, Maly P, Welsh R (2004) Diffusion tensor imaging of the brain: review of clinical applications. Neuroradiology 46:339–350

    Article  PubMed  CAS  Google Scholar 

  • Westin, C-F, Maier SE, Mamata H, Nabavi A, Jolesz FA, Kikinis R (2002) Processing and visualization of diffusion tensor MRI. Med Image Anal 6:93–108

    Article  PubMed  Google Scholar 

  • Yu CS, Li KC, Xuan Y, Ji XM, Qin W (2005) Diffusion tensor tractography in patients with cerebral tumors: a helpful technique for neurosurgical planning and postoperative assessment. Eur J Radiol 56:197–204

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Laboratory of Image Processing, University of Valladolid, Valladolid, Spain

    Rubén Cárdenes, Emma Muñoz-Moreno, Daniel Argibay-Quiñones & Marcos Martín-Fernández

  2. Neurosurgery Service, Hospital Universitario Río Hortega, Valladolid, Spain

    Rosario Sarabia-Herrero

Authors
  1. Rubén Cárdenes
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  2. Emma Muñoz-Moreno
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  3. Rosario Sarabia-Herrero
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  4. Daniel Argibay-Quiñones
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  5. Marcos Martín-Fernández
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Correspondence to Rubén Cárdenes .

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  1. , Kean University, Room 213, Library building, Morris Avenue 1000, Union, 07083, New Jersey, USA

    M.A. Hayat

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Cárdenes, R., Muñoz-Moreno, E., Sarabia-Herrero, R., Argibay-Quiñones, D., Martín-Fernández, M. (2012). Quantitative Analysis of Pyramidal Tracts in Brain Tumor Patients Using Diffusion Tensor Imaging. In: Hayat, M. (eds) Tumors of the Central Nervous System, Volume 4. Tumors of the Central Nervous System, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1706-0_15

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  • DOI: https://doi.org/10.1007/978-94-007-1706-0_15

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