Evaluation of glioblastomas and lymphomas with whole-brain CT perfusion: Comparison between a delay-invariant singular-value decomposition algorithm and a Patlak plot
作者: Akio HiwatashiOsamu TogaoKoji YamashitaKazufumi KikuchiKoji YoshimotoMasahiro MizoguchiSatoshi O. SuzukiTakashi YoshiuraHiroshi Honda
作者单位: 1Department of clinical radiology, Graduate School of medical sciences, Kyushu university, 3-1-1, Maidashi, Higashi-ku, 812-8582 Fukuoka, Japan
2Department of neurosurgery, Graduate School of medical sciences, Kyushu university, Fukuoka, Japan
3Department of neuropathology, Graduate School of medical sciences, Kyushu university, Fukuoka, Japan
刊名: Journal of Neuroradiology, 2016, Vol.43 (4), pp.266-272
来源数据库: Elsevier Journal
DOI: 10.1016/j.neurad.2016.01.147
关键词: GlioblastomaLymphomaCT perfusionPatlak plot
原始语种摘要: Summary(#br)Objective(#br)Correction of contrast leakage is recommended when enhancing lesions during perfusion analysis. The purpose of this study was to assess the diagnostic performance of computed tomography perfusion (CTP) with a delay-invariant singular-value decomposition algorithm (SVD+) and a Patlak plot in differentiating glioblastomas from lymphomas.(#br)Materials and methods(#br)This prospective study included 17 adult patients (12 men and 5 women) with pathologically proven glioblastomas ( n =10) and lymphomas ( n =7). CTP data were analyzed using SVD+ and a Patlak plot. The relative tumor blood volume and flow compared to contralateral normal-appearing gray matter (rCBV and rCBF derived from SVD+,...
全文获取路径: Elsevier  (合作)
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影响因子:1.237 (2012)

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关键词翻译
关键词翻译
  • invariant 不变量
  • singular 奇异的
  • algorithm 算法
  • SVD Safe Vertical Distance
  • perfusion 灌注
  • between 在中间
  • decomposition 分解
  • CTP Coordinated Test Program
  • delay 延时
  • analysis 分析