BACKGROUND AND PURPOSE: In evaluating intracranial tumors, a safe low-cost alternative that provides information similar to that of digital subtraction angiography (DSA) may be of interest. Our purpose was to determine the utility and limitations of a combined MR protocol in assessing (neo-) vascularity in intracranial tumors and their relation to adjacent vessels and to compare the results with those of DSA. METHODS: Twenty-two consecutive patients with an intracranial tumor who underwent preoperative stereoscopic DSA were examined with contrast-enhanced dynamic T2*-weighted perfusion MR imaging followed by a T1-weighted three-dimensional (3D) MR study (volumetric interpolated brain examination [VIBE]). The maximum relative cerebral blood volume (rCBV) of the tumor was compared with tumor vascularity at DSA. Critical vessel structures were defined in each patient, and VIBE images of these structures were compared with DSA findings. For full exploitation of the 3D data sets, maximum-intensity projection algorithms reconstructed in real time with any desired volume and orientation were used. RESULTS: Tumor blush scores at DSA were significantly correlated with the rCBV measurements (r = 0.75; P <.01, Spearman rank correlation coefficient). In 17 (77%) patients, VIBE provided all relevant information about the venous system, whereas information about critical arteries were partial in 50% of the cases and not relevant in the other 50%. CONCLUSION: A fast imaging protocol consisting of perfusion MR imaging and a volumetric MR acquisition provides some of the information about tumor (neo-) vascularity and adjacent vascular anatomy that can be obtained with conventional angiography. However, the MR protocol provides insufficient visualization of distal cerebral arteries.
BACKGROUND AND PURPOSE: In evaluating intracranial tumors, a safe low-cost alternative that provides information similar to that of digital subtraction angiography (DSA) may be of interest. Our purpose was to determine the utility and limitations of a combined MR protocol in assessing (neo-) vascularity in intracranial tumors and their relation to adjacent vessels and to compare the results with those of DSA. METHODS: Twenty-two consecutive patients with an intracranial tumor who underwent preoperative stereoscopic DSA were examined with contrast-enhanced dynamic T2*-weighted perfusion MR imaging followed by a T1-weighted three-dimensional (3D) MR study (volumetric interpolated brain examination [VIBE]). The maximum relative cerebral blood volume (rCBV) of the tumor was compared with tumor vascularity at DSA. Critical vessel structures were defined in each patient, and VIBE images of these structures were compared with DSA findings. For full exploitation of the 3D data sets, maximum-intensity projection algorithms reconstructed in real time with any desired volume and orientation were used. RESULTS:Tumor blush scores at DSA were significantly correlated with the rCBV measurements (r = 0.75; P <.01, Spearman rank correlation coefficient). In 17 (77%) patients, VIBE provided all relevant information about the venous system, whereas information about critical arteries were partial in 50% of the cases and not relevant in the other 50%. CONCLUSION: A fast imaging protocol consisting of perfusion MR imaging and a volumetric MR acquisition provides some of the information about tumor (neo-) vascularity and adjacent vascular anatomy that can be obtained with conventional angiography. However, the MR protocol provides insufficient visualization of distal cerebral arteries.
Authors: Stephan G Wetzel; Glyn Johnson; Andrew G S Tan; Soonmee Cha; Edmond A Knopp; Vivian S Lee; David Thomasson; Neil M Rofsky Journal: AJNR Am J Neuroradiol Date: 2002 Jun-Jul Impact factor: 3.825
Authors: T Sugahara; Y Korogi; Y Shigematsu; T Hirai; I Ikushima; L Liang; Y Ushio; M Takahashi Journal: J Comput Assist Tomogr Date: 1999 Mar-Apr Impact factor: 1.826
Authors: N M Rofsky; V S Lee; G Laub; M A Pollack; G A Krinsky; D Thomasson; M M Ambrosino; J C Weinreb Journal: Radiology Date: 1999-09 Impact factor: 11.105
Authors: T Sugahara; Y Korogi; M Kochi; I Ikushima; T Hirai; T Okuda; Y Shigematsu; L Liang; Y Ge; Y Ushio; M Takahashi Journal: AJR Am J Roentgenol Date: 1998-12 Impact factor: 3.959
Authors: H J Aronen; I E Gazit; D N Louis; B R Buchbinder; F S Pardo; R M Weisskoff; G R Harsh; G R Cosgrove; E F Halpern; F H Hochberg Journal: Radiology Date: 1994-04 Impact factor: 11.105
Authors: Stefan Maderwald; Susanne C Ladd; Elke R Gizewski; Oliver Kraff; Jens M Theysohn; Karsten Wicklow; Christoph Moenninghoff; Isabel Wanke; Mark E Ladd; Harald H Quick Journal: MAGMA Date: 2008-01-04 Impact factor: 2.310
Authors: Gregory A Christoforidis; Ming Yang; Amir Abduljalil; Abhik R Chaudhury; Herbert B Newton; John M McGregor; Clara R Epstein; William T C Yuh; Sydeaka Watson; Pierre-Marie L Robitaille Journal: Radiology Date: 2012-05-24 Impact factor: 11.105
Authors: Elana S Tykocinski; Ryan A Grant; Gurpreet S Kapoor; Jaroslaw Krejza; Leif-Erik Bohman; Timothy A Gocke; Sanjeev Chawla; Casey H Halpern; Joanna Lopinto; Elias R Melhem; Donald M O'Rourke Journal: Neuro Oncol Date: 2012-04-04 Impact factor: 12.300
Authors: Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson Journal: AJNR Am J Neuroradiol Date: 2004-05 Impact factor: 3.825