Detection of tumour infiltration in axonal fibre bundles using Diffusion Tensor Imaging

被引:16
|
作者
Schlüter, M
Stieltjes, B
Hahn, HK [1 ]
Rexilius, J
Konrad-Verse, O
Peitgen, HO
机构
[1] MeVis Ctr Med Diagnost Syst & Visualisat, Bremen, Germany
[2] German Canc Res Ctr, Dept Diagnost Radiol, D-6900 Heidelberg, Germany
关键词
brain turnouts; infiltration; Diffusion Tensor Imaging; diffusion anisotropy; neurosurgical planning;
D O I
10.1002/rcs.31
中图分类号
R61 [外科手术学];
学科分类号
摘要
We present a method for the detection and quantification of white matter infiltration from human brain tumours based on Diffusion Tensor Imaging (DTI). Since white matter destruction alters the local diffusion properties, DTI has the potential to sensitively detect tumour infiltration and to quantify the degree thereof Here, we consider three tumour patients with gliomas, two with and one without contralateral tumour progress. We use DTI to identify specific fibre systems, where infiltration has to be assessed. On this basis, the problem of arbitrary region of interest definition is solved such that tumour infiltration can be reliably quantified in particular fibre bundles. It is demonstrated at the Corpus Callosum (CC) and the Pyramidal Tract (PT) that fibre bundle infiltration can be well detected by specific visualisation techniques of diffusion tensor data. Infiltration of the CC is quantified by using a reliable method for the determination of diffusion properties inside particular fibre bundles. For an age normalised quantification of white matter infiltration we introduce the Integrity Index, which measures the diffusion anisotropy inside an infiltrated fibre bundle normalised by the diffusion anisotropy in a specific region of healthy fibre tissue. It turns out that the quantification of CC infiltration correlates with contralateral tumour progression and has the potential to serve as a surrogate marker for this process, which is crucial for surgical therapy decisions and intervention planning.
引用
收藏
页码:80 / 86
页数:7
相关论文
共 50 条
  • [21] Radiation Damage Signature of White Matter Fiber Bundles Using Diffusion Tensor Imaging (DTI)
    Zhu, T.
    Chapman, C.
    Tsien, C.
    Lawrence, T.
    Cao, Y.
    MEDICAL PHYSICS, 2015, 42 (06) : 3603 - 3603
  • [22] Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy
    Budzik, Jean-Francois
    Balbi, Vincent
    Le Thuc, Vianney
    Duhamel, Alain
    Assaker, Richard
    Cotten, Anne
    EUROPEAN RADIOLOGY, 2011, 21 (02) : 426 - 433
  • [23] Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy
    Jean-François Budzik
    Vincent Balbi
    Vianney Le Thuc
    Alain Duhamel
    Richard Assaker
    Anne Cotten
    European Radiology, 2011, 21 : 426 - 433
  • [24] Diffusion tensor imaging fiber tractography for evaluating diffuse axonal injury
    Sugiyama, Ken
    Kondo, Takeo
    Higano, Shuichi
    Endo, Minoru
    Watanabe, Hiroshi
    Shindo, Keiichiro
    Izumi, Shin-Ichi
    BRAIN INJURY, 2007, 21 (04) : 413 - 419
  • [25] Diffuse axonal injury: diffusion tensor imaging and cognitive outcome Reply
    Grassi, Daphine Centola
    Barros da Silva, Grasiela Rocha
    Andrade, Celi Santos
    ARQUIVOS DE NEURO-PSIQUIATRIA, 2018, 76 (10) : 726 - 727
  • [26] Current contribution of diffusion tensor imaging in the evaluation of diffuse axonal injury
    Grassi, Daphine Centola
    da Conceicao, David Macedo
    Leite, Claudia da Costa
    Andrade, Celi Santos
    ARQUIVOS DE NEURO-PSIQUIATRIA, 2018, 76 (03) : 189 - 199
  • [27] DIFFUSION TENSOR IMAGING (DTI) TO ASSESS AXONAL REGENERATION IN PERIPHERAL NERVES
    Lehmann, H. C.
    Ji, Zhang
    Mori, S.
    Sheikh, K. A.
    JOURNAL OF THE PERIPHERAL NERVOUS SYSTEM, 2009, 14 : 88 - 88
  • [28] Diffusion Tensor Imaging of Axonal and Myelin Changes in Classical Trigeminal Neuralgia
    Zhang, Yanyang
    Mao, Zhiqi
    Cui, Zhiqiang
    Ling, Zhipei
    Pan, Longsheng
    Liu, Xinyun
    Zhang, Jun
    Yu, Xinguang
    WORLD NEUROSURGERY, 2018, 112 : E597 - E607
  • [29] Characterization of Chronic Axonal Degeneration Using Diffusion Tensor Imaging in Canine Spinal Cord Injury: A Quantitative Analysis of Diffusion Tensor Imaging Parameters According to Histopathological Differences
    Yoon, Hakyoung
    Kim, Jaehwan
    Moon, Won-Jin
    Nahm, Sang-Soep
    Zhao, Jun
    Kim, Hyoung-Moon
    Eom, Kidong
    JOURNAL OF NEUROTRAUMA, 2017, 34 (21) : 3041 - 3050
  • [30] Detection of Glioblastoma Subclinical Recurrence Using Serial Diffusion Tensor Imaging
    Jin, Yan
    Randall, James W.
    Elhalawani, Hesham
    Al Feghali, Karine A.
    Elliott, Andrew M.
    Anderson, Brian M.
    Lacerda, Lara
    Tran, Benjamin L.
    Mohamed, Abdallah S.
    Brock, Kristy K.
    Fuller, Clifton D.
    Chung, Caroline
    CANCERS, 2020, 12 (03)