Clinical utility of flumazenil PET versus FDG PET and MRI in intractable epilepsy patients: Prospective study with a statistical parametric mapping method

被引：0
|
作者：
Yoon, Hai-jeon [1 ]
Lee, Ho-Young [1 ]
Kang, Hyejin [2 ]
Hahm, Jarang [2 ]
Lee, Byung Chul [3 ]
Kim, Sang Eun [3 ]
机构：
[1] Seoul Natl Univ Hosp, Boramae Med Ctr, Seoul, South Korea
[2] Seoul Natl Univ, Coll Med, Seoul, South Korea
[3] Bundang Seoul Natl Univ Hosp, Seongnag City, South Korea
来源：
JOURNAL OF NUCLEAR MEDICINE | 2012年 / 53卷
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
38
引用
收藏
页数：2
相关论文
共 50 条
  • [41] PRESURGICAL EVALUATION OF PATIENTS WITH MEDICALLY INTRACTABLE TEMPORAL-LOBE EPILEPSY AND HAVING NORMAL MRI WITH F-18 FDG PET SCAN
    ANTAR, MA
    GO, RT
    MACINTYRE, WJ
    SAHA, GB
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE, 1992, 19 (08): : 629 - 629
  • [42] Serial FDG-PET before and during therapy of primarily unmedicated depression -: A study using statistical parametric mapping.
    Juengling, FD
    Gostomzyk, J
    Grön, G
    Norys, C
    Reske, SN
    Spitzer, M
    Walter, H
    JOURNAL OF NUCLEAR MEDICINE, 2002, 43 (05) : 260P - 260P
  • [43] Correlation between [18F]FDG PET and [11C]flumazenil parametric relative delivery (R1) images in epilepsy patients
    Lubberink, M.
    Danfors, T.
    Jonasson, M.
    Kumlien, E.
    Sorensen, J.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2011, 38 : S149 - S149
  • [44] COMPARISON BETWEEN [C-11] FLUMAZENIL AND [F-18] FDG-PET IN PATIENTS WITH PARTIAL EPILEPSY
    SADZOT, B
    DEBETS, RMC
    DELFIORE, G
    VANVEELEN, AC
    DEGUELDRE, C
    SALMON, E
    MAQUET, P
    VANHUFFELEN, CW
    FRANCK, G
    EPILEPSIA, 1995, 36 : S212 - S213
  • [45] Dynamic statistical parametric mapping for analyzing ictal magnetoencephalographic spikes in patients with intractable frontal lobe epilepsy
    Tanaka, Naoaki
    Cole, Andrew J.
    von Pechmann, Deidre
    Wakeman, Daniel G.
    Hamalainen, Matti S.
    Liu, Hesheng
    Madsen, Joseph R.
    Bourgeois, Blaise F.
    Stufflebeam, Steven M.
    EPILEPSY RESEARCH, 2009, 85 (2-3) : 279 - 286
  • [46] Heuristic scoring method utilizing FDG-PET statistical parametric mapping in the evaluation of suspected Alzheimer disease and frontotemporal lobar degeneration
    Ford, Jeremy N.
    Sweeney, Elizabeth M.
    Skafida, Myrto
    Glynn, Shannon
    Amoashiy, Michael
    Lange, Dale J.
    Lin, Eaton
    Chiang, Gloria C.
    Osborne, Joseph R.
    Pahlajani, Silky
    de Leon, Mony J.
    Ivanidze, Jana
    AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 11 (04): : 313 - 326
  • [47] The clinical utility of FDG-PET in surgical management of medication refractory temporal lobe epilepsy (mTLE)
    Struck, Aaron
    Kusmirek, Joanna
    Floberg, John
    Jaskowiak, Christine
    Perlman, Scott
    Hall, Lance
    JOURNAL OF NUCLEAR MEDICINE, 2011, 52
  • [48] Comparison of visual to statistical parametric mapping analysis of 18FDG brain PET for the detection of seizure foci: Results in temporal lobe epilepsy.
    Dey, HM
    Krishnamurthy, R
    Tseng, J
    Bremner, JD
    Rich, DA
    Seibyl, JP
    Soufer, R
    Spencer, D
    Spencer, S
    JOURNAL OF NUCLEAR MEDICINE, 1997, 38 (05) : 1159 - 1159
  • [49] A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia
    Pasquale Anthony Della Rosa
    Chiara Cerami
    Francesca Gallivanone
    Annapaola Prestia
    Anna Caroli
    Isabella Castiglioni
    Maria Carla Gilardi
    Giovanni Frisoni
    Karl Friston
    John Ashburner
    Daniela Perani
    Neuroinformatics, 2014, 12 : 575 - 593
  • [50] FDG-PET/MRI for Nonoperative Management of Rectal Cancer: A Prospective Pilot Study
    Ince, Semra
    Itani, Malak
    Henke, Lauren E. E.
    Smith, Radhika K. K.
    Wise, Paul E. E.
    Mutch, Matthew G. G.
    Glasgow, Sean C. C.
    Silviera, Matthew L. L.
    Pedersen, Katrina S. S.
    Hunt, Steven R. R.
    Kim, Hyun
    Fraum, Tyler J. J.
    TOMOGRAPHY, 2022, 8 (06) : 2723 - 2734
12345