Prognostic value of blood flow estimated by arterial spin labeling and dynamic susceptibility contrast-enhanced MR imaging in high-grade gliomas

被引:0
|
作者
Mandy Kim Rau
Christian Braun
Marco Skardelly
Jens Schittenhelm
Frank Paulsen
Benjamin Bender
Ulrike Ernemann
Sotirios Bisdas
机构
[1] Eberhard Karls University,Department of Neuroradiology
[2] Eberhard Karls University,Department of Neurology
[3] Eberhard Karls University,Department of Neurosurgery
[4] Eberhard Karls University,Department of Neuropathology
[5] Eberhard Karls University,Department of Radiation Oncology
来源
Journal of Neuro-Oncology | 2014年 / 120卷
关键词
Gliomas; Blood flow; Arterial spin labeling; Blood volume;
D O I
暂无
中图分类号
学科分类号
摘要
Several studies evaluated the predictive value of dynamic susceptibility contrast enhanced (DSC) imaging and arterial spin labeling (ASL) with regard to histological grade. Yet still less is known about their significance in terms of patients prognosis. Our purpose was to evaluate the agreement between them and the prognostic value of ASL- and DSC-CBF measurements for time-to-recurrence (TTR). Sixty nine cases of WHO Grade 3–4 gliomas underwent both DSC- and ASL-MRI. Normalized ASL and DSC-based cerebral blood flow (CBF) maps as well as DSC-derived cerebral blood volume maps (CBV) were analyzed. Wilcoxon test and Bland–Altman plot analysis were applied in order to compare DSC-rCBF and ASL-rCBF. Spearman’s rank correlation coefficients were determined for all perfusion parameters. Receiver operating characteristic (ROC) curve and survival curve analyses were performed. The median values of ASL-rCBF, DSC-rCBF, and DSC-rCBV were 5.3, 6.9, and 8.0, respectively. There was neither significant correlation nor difference between ASL-rCBF and DSC-rCBF. Slight proportional bias was demonstrated in the Bland–Altman plot analysis of ASL-rCBF and DSC-rCBF values. Unlikely to DSC-rCBV, DSC- and ASL-based rCBF parameters demonstrated moderate sensitivity and specifitity for tumor recurrence but no statistical significance regarding their prognostic values for TTR in the Kaplan–Meier analysis. There were neither correlation nor interchangeability between the DSC-rCBF and ASL-rCBF estimations, which demonstrated comparable, though not significant prognostic value for the prediction of TTR. rCBV measurements seem to provide the best sensitivity and specificity to predict tumor recurrence and survival time in these patients.
引用
收藏
页码:557 / 566
页数:9
相关论文
共 50 条
  • [41] The Value of Arterial Spin-Labeled Perfusion Imaging in Acute Ischemic Stroke Comparison With Dynamic Susceptibility Contrast-Enhanced MRI
    Wang, Danny J. J.
    Alger, Jeffry R.
    Qiao, Joe X.
    Hao, Qing
    Hou, Samuel
    Fiaz, Rana
    Gunther, Matthias
    Pope, Whitney B.
    Saver, Jeffrey L.
    Salamon, Noriko
    Liebeskind, David S.
    STROKE, 2012, 43 (04) : 1018 - U200
  • [42] Feasibility and applicability of diffusion-weighted and dynamic contrast-enhanced magnetic resonance imaging in routine assessments of children with high-grade gliomas
    Carceller, Fernando
    Jerome, Neil P.
    Miyazaki, Keiko
    Collins, David J.
    Orton, Matthew R.
    d'Arcy, James A.
    Wallace, Toni
    Moreno, Lucas
    Pearson, Andrew D. J.
    Zacharoulis, Stergios
    Leach, Martin O.
    Marshall, Lynley V.
    Koh, Dow-Mu
    PEDIATRIC BLOOD & CANCER, 2017, 64 (02) : 279 - 283
  • [43] Diffusion kurtosis imaging combined with dynamic susceptibility contrast-enhanced MRI in differentiating high-grade glioma recurrence from pseudoprogression
    Shi, Wenwei
    Qu, Chongxiao
    Wang, Xiaochun
    Liang, Xiao
    Tan, Yan
    Zhang, Hui
    EUROPEAN JOURNAL OF RADIOLOGY, 2021, 144
  • [44] Gliomas: Predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging
    Law, Meng
    Young, Robert J.
    Babb, James S.
    Peccerelli, Nicole
    Chheang, Sophie
    Gruber, Michael L.
    Miller, Douglas C.
    Golfinos, John G.
    Zagzag, David
    Johnson, Glyn
    RADIOLOGY, 2008, 247 (02) : 490 - 498
  • [45] Comparison of arterial spin-labeling techniques and dynamic susceptibility-weighted contrast-enhanced MRI in perfusion imaging of normal brain tissue
    Weber, MA
    Günther, M
    Lichy, MP
    Delorme, S
    Bongers, A
    Thilmann, C
    Essig, M
    Zuna, I
    Schad, LR
    Debus, J
    Schlemmer, HP
    INVESTIGATIVE RADIOLOGY, 2003, 38 (11) : 712 - 718
  • [46] Comparison of permeability in high-grade and low-grade brain tumors using dynamic susceptibility contrast MR imaging
    Provenzale, JM
    Wang, GR
    Brenner, T
    Petrella, JR
    Sorensen, AG
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2002, 178 (03) : 711 - 716
  • [47] Quantification of Renal Perfusion: Comparison of Arterial Spin Labeling and Dynamic Contrast-Enhanced MRI
    Winter, Jeff D.
    St Lawrence, Keith S.
    Cheng, Hai-Ling Margaret
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2011, 34 (03) : 608 - 615
  • [48] Assessment of vessel permeability by combining dynamic contrast-enhanced and arterial spin labeling MRI
    Liu, Ho-Ling
    Chang, Ting-Ting
    Yan, Feng-Xian
    Li, Cheng-He
    Lin, Yu-Shi
    Wong, Alex M.
    NMR IN BIOMEDICINE, 2015, 28 (06) : 642 - 649
  • [49] Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas
    Boxerman, Jerrold L.
    Quarles, Chad C.
    Hu, Leland S.
    Erickson, Bradley J.
    Gerstner, Elizabeth R.
    Smits, Marion
    Kaufmann, Timothy J.
    Barboriak, Daniel P.
    Huang, Raymond H.
    Wick, Wolfgang
    Weller, Michael
    Galanis, Evanthia
    Kalpathy-Cramer, Jayashree
    Shankar, Lalitha
    Jacobs, Paula
    Chung, Caroline
    van den Bent, Martin J.
    Chang, Susan
    Al Yung, W. K.
    Cloughesy, Timothy F.
    Wen, Patrick Y.
    Gilbert, Mark R.
    Rosen, Bruce R.
    Ellingson, Benjamin M.
    Schmainda, Kathleen M.
    NEURO-ONCOLOGY, 2020, 22 (09) : 1262 - 1275
  • [50] Perfusion MR imaging of enhancing brain tumors: Comparison of arterial spin labeling technique with dynamic susceptibility contrast technique
    Soni, Neetu
    Dhanota, Devender Pal S.
    Kumar, Sunil
    Jaiswal, Awadhesh K.
    Srivastava, Arun K.
    NEUROLOGY INDIA, 2017, 65 (05) : 1046 - 1052