Reliable Perfusion Maps in Stroke MRI Using Arterial Input Functions Derived From Distal Middle Cerebral Artery Branches

被引:30
作者
Ebinger, Martin [1 ]
Brunecker, Peter
Jungehuelsing, Gerhard J.
Malzahn, Uwe
Kunze, Claudia
Endres, Matthias [2 ]
Fiebach, Jochen B.
机构
[1] Charite, Dept Neurol, Campus Benjamin Franklin, CSB Ctr Stroke Res Berlin, D-12200 Berlin, Germany
[2] Charite, Neurol Klin & Poliklin, D-12200 Berlin, Germany
关键词
arterial input function; MRI; perfusion; stroke; GRADIENT-ECHO; CONTRAST; SATURATION; SIMULATION;
D O I
10.1161/STROKEAHA.109.559807
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose-Perfusion imaging is widely used in stroke, but there are uncertainties with regard to the choice of arterial input function (AIF). Two important aspects of AIFs are signal-to-noise ratio and bolus-related signal drop, ideally close to 63%. We hypothesized that distal branches of the middle cerebral artery (MCA) provide higher quality of AIF compared with proximal branches. Methods-Over a period of 3 months, consecutive patients with suspected stroke were examined in a 3-T MRI scanner within 24 hours of symptom onset. AIFs were selected manually in M1, M2, and M3 branches of the MCA contralateral to the suspected ischemia. Signal-to-noise ratio and bolus-related signal drop were analyzed. Perfusion maps were created for every patient and mean values at the insular level as well as relative ranges were compared. Results-Mean age of 132 included patients (53 females) was 67.3 years (SD, 14.9) and median National Institutes of Health Stroke Scale was 3 (interquartile range [IQR] 0 to 6). For further analyses, 4 patients were excluded due to discontinuation of scanning or insufficient bolus arrival (signal drop < 15%). Median signal-to-noise ratio was highest in M3 branches (36.41; IQR, 29.29 to 43.58). Median signal-to-noise ratio in M2 branches was intermediate (27.54; IQR, 20.78 to 34.00) and median signal-to-noise ratio in M1 was low (12.40; IQR, 9.11 to 17.15). Using AIFs derived from M1 and M2 branches of the MCA median signal drop was 77% (IQR, 72% to 82%) and 78% (IQR, 73% to 83%), respectively. Signal drop was significantly reduced when AIF was selected in M3 branches with a median of 72% (IQR, 63% to 77%; P < 0.01). Highest variability of 3456 perfusion maps was found in those derived from M1. Conclusion-The level of AIF selection in the MCA has a major impact on reliability and even quantitative parameters of perfusion maps. For better comparison of perfusion maps, the AIF should be defined by selection of distal branches of the MCA contralateral to the suspected ischemia. In future trials involving perfusion imaging, the MCA segment used for the AIF should be specified. (Stroke. 2010;41:95-101.)
引用
收藏
页码:95 / 101
页数:7
相关论文
共 14 条
[1]   Optimal location for arterial input function measurements near the middle cerebral artery in first-pass perfusion MRI [J].
Bleeker, Egbert J. W. ;
van Buchem, Mark A. ;
van Osch, Matthias J. P. .
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2009, 29 (04) :840-852
[2]   Evaluation of an AIF correction algorithm for dynamic susceptibility contrast-enhanced perfusion MR1 [J].
Brunecker, Peter ;
Endres, Matthias ;
Nolte, Christian H. ;
Schultze, Joerg ;
Wegener, Susanne ;
Jungehuelsing, Gerhard Jan ;
Mueller, Bianca ;
Kerskens, Christian M. ;
Fiebach, Jochen B. ;
Villringer, Arno ;
Steinbrink, Jens .
MAGNETIC RESONANCE IN MEDICINE, 2008, 60 (01) :102-110
[3]   Correcting saturation effects of the arterial input function in dynamic susceptibility contrast-enhanced MRI -: a Monte Carlo simulation [J].
Brunecker, Peter ;
Villringer, Arno ;
Schultze, Joerg ;
Nolte, Christian H. ;
Jungehuelsing, Gerhard Jan ;
Endres, Matthias ;
Steinbrink, Jens .
MAGNETIC RESONANCE IMAGING, 2007, 25 (09) :1300-1311
[4]   Arterial input functions for dynamic susceptibility contrast MRI: Requirements and signal options [J].
Conturo, TE ;
Akbudak, E ;
Kotys, MS ;
Chen, ML ;
Chun, SJ ;
Hsu, RM ;
Sweeney, CC ;
Markham, J .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2005, 22 (06) :697-703
[5]   Measurement of arterial input functions for dynamic susceptibility contrast magnetic resonance imaging using echoplanar images: Comparison of physical simulations with in vivo results [J].
Duhamel, G ;
Schlaug, G ;
Alsop, DC .
MAGNETIC RESONANCE IN MEDICINE, 2006, 55 (03) :514-523
[6]   The impact of peak saturation of the arterial input function on quantitative evaluation of dynamic susceptibility contrast-enhanced MR studies [J].
Ellinger, R ;
Kremser, C ;
Schocke, MFH ;
Kolbitsch, C ;
Griebel, J ;
Felber, SR ;
Aichner, FT .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2000, 24 (06) :942-948
[7]   Analysis of Partial Volume Effects on Arterial Input Functions Using Gradient Echo: A Simulation Study [J].
Kjolby, Birgitte F. ;
Mikkelsen, Irene K. ;
Pedersen, Michael ;
Ostergaard, Leif ;
Kiselev, Valerij G. .
MAGNETIC RESONANCE IN MEDICINE, 2009, 61 (06) :1300-1309
[8]   High resolution measurement of cerebral blood flow using intravascular tracer bolus passages .1. Mathematical approach and statistical analysis [J].
Ostergaard, L ;
Weisskoff, RM ;
Chesler, DA ;
Gyldensted, C ;
Rosen, BR .
MAGNETIC RESONANCE IN MEDICINE, 1996, 36 (05) :715-725
[9]   Signal-to-noise ratio effects in quantitative cerebral perfusion using dynamic susceptibility contrast agents [J].
Smith, MR ;
Lu, H ;
Frayne, R .
MAGNETIC RESONANCE IN MEDICINE, 2003, 49 (01) :122-128
[10]   Influence of arterial input function on hypoperfusion volumes measured with perfusion-weighted imaging [J].
Thijs, VN ;
Somford, DM ;
Bammer, R ;
Robberecht, W ;
Moseley, ME ;
Albers, GW .
STROKE, 2004, 35 (01) :94-98