Neurology Research International

Neurology Research International / 2013 / Article

Review Article | Open Access

Volume 2013 |Article ID 415960 |

Jena N. Mills, Vivek Mehta, Jonathan Russin, Arun P. Amar, Anandh Rajamohan, William J. Mack, "Advanced Imaging Modalities in the Detection of Cerebral Vasospasm", Neurology Research International, vol. 2013, Article ID 415960, 15 pages, 2013.

Advanced Imaging Modalities in the Detection of Cerebral Vasospasm

Academic Editor: J. Mocco
Received04 Nov 2012
Accepted09 Dec 2012
Published06 Feb 2013


The pathophysiology of cerebral vasospasm following aneurysmal subarachnoid hemorrhage (SAH) is complex and is not entirely understood. Mechanistic insights have been gained through advances in the capabilities of diagnostic imaging. Core techniques have focused on the assessment of vessel caliber, tissue metabolism, and/or regional perfusion parameters. Advances in imaging have provided clinicians with a multifaceted approach to assist in the detection of cerebral vasospasm and the diagnosis of delayed ischemic neurologic deficits (DIND). However, a single test or algorithm with broad efficacy remains elusive. This paper examines both anatomical and physiological imaging modalities applicable to post-SAH vasospasm and offers a historical background. We consider cerebral blood flow velocities measured by Transcranial Doppler Ultrasonography (TCD). Structural imaging techniques, including catheter-based Digital Subtraction Angiography (DSA), CT Angiography (CTA), and MR Angiography (MRA), are reviewed. We examine physiologic assessment by PET, HMPAO SPECT, 133Xe Clearance, Xenon-Enhanced CT (Xe/CT), Perfusion CT (PCT), and Diffusion-Weighted/MR Perfusion Imaging. Comparative advantages and limitations are discussed.

1. Introduction and Historical Perspective

Cerebral vasospasm is a delayed complication of subarachnoid hemorrhage. It generally occurs 4–14 days after aneurysmal rupture and is associated with morbidity and mortality rates between 10 and 30% [1]. While changes are commonly observed in the large caliber conveyance arteries, effects on the smaller vessels of the microcirculation, including alterations in blood brain barrier permeability, may be equally important in determining clinical impact. Such factors may account for the higher incidence of vasospasm as defined by imaging criteria (“radiographic vasospasm”) than rates of neurological dysfunction (“clinical vasospasm”).

Early diagnosis and treatment could potentially prevent and/or minimize delayed ischemic neurological deficits (DIND). Advances in clinical management of cerebral vasospasm have lagged far behind innovations in brain imaging. Given that radiographic vasospasm does not strongly associate with DIND, efforts have refocused on understanding pathophysiology through advanced correlative imaging. Technological developments have enabled accurate assessment of tissue oxygenation, metabolic uptake, and cerebral perfusion. This paper will review imaging modalities applied to the detection of cerebral vasospasm and the diagnosis of DIND. A historical background is presented, and fundamental applications are considered.

Radiographic evidence of vasospasm secondary to aneurysmal rupture was initially documented in 1951 (Figure 1) [2], more than two decades after the advent of cerebral angiography [3]. Between 1972 and 1982, efforts focused on developing effective alternatives to invasive cerebral angiography for evaluation of vasospasm. During this time, physiologic modalities were introduced, including 133Xe Clearance, Positron Emission Tomography (PET), and Xenon-Enhanced CT (Xe/CT), respectively. Rather than providing anatomical visualization of target vessels, these techniques examined regional cerebral blood flow (CBF) and characterized metabolic parameters.

Further advances occurred in the early 1980s. Digital Subtraction Angiography (DSA), with higher resolution imaging capabilities, replaced cut-film angiography and rapidly became the gold standard for radiographic documentation of cerebral vasospasm. Transcranial Doppler Ultrasonography (TCD) was developed as a noninvasive technique for detecting blood flow velocities of intracranial vessels. This revolutionized the clinical management of vasospasm by providing noninvasive monitoring in the weeks following subarachnoid hemorrhage. DSA and TCD remain the standards for comparative analysis in the assessment of novel imaging modalities. Magnetic Resonance Angiography (MRA) and CT Angiography (CTA) are anatomical/structural imaging techniques incorporated into clinical practice in the mid to late 1990s. Lower risk and rapidity of acquisition compared to DSA have rendered these studies practical for first line vessel imaging in most facilities.

In the past 25 years, advanced perfusion imaging modalities have been developed. These include HMPAO SPECT (1988), Perfusion CT (PCT) (2001), and combined Diffusion-Weighted and MR Perfusion Imaging. Direct examination of cerebral blood flow is coupled with computational assessment of regional perfusion. Coregistration allows potential differentiation of marginally viable penumbral tissue from dense ischemic core.

The following sections of this paper serve as a basic review of available imaging modalities applicable to the diagnosis of cerebral vasospasm. Each considers the conceptual basis of a particular technique and underscores the applications and potential limitations.

2. Transcranial Doppler Ultrasonography (TCD)

Transcranial Doppler (TCD) Ultrasonography was first introduced in the early 1980s as a noninvasive method for the detection of blood flow velocities in the middle, anterior, and posterior cerebral arteries (MCA, ACA, and PCA) [4]. Many studies have since examined technique and clinical utility. Serial measurements provide critical hemodynamic information that requires relatively little postprocessing [5]. This technique utilizes a hand-held microprocessor-controlled Doppler transducer that directly contacts the cranial skin overlying an acoustic (or insonation) window, an area where the cranial bone is thin or a naturally occurring foramen/fissure is present. The transtemporal window is most commonly utilized to evaluate flow velocities in the MCA, PCA, and ACA. Other insonation windows include transorbital for evaluation of the ophthalmic arteries and cavernous segments of the ICA and transforaminal for evaluation of the posterior circulation.

A relatively low frequency (2 MHz) pulse-waved ultrasonic signal is emitted that can penetrate the cranial bone, interrogate the intracranial vessels, and transmit data regarding cerebral blood flow velocities. Ultrasonographic technology and data analysis are based on the Doppler Effect principle. The TCD probe emits a wave of a given frequency and detects the altered echo frequency of the wave that emanates back. The difference between these two frequencies is the Doppler shift. Using this principle, the velocity of a moving object can be calculated according to the following equation (c is the speed of the emitted wave and Θ is the angle between the wave and the direction of movement):

Interpretation of TCD velocities is based upon the inverse relationship between vessel lumen area and blood flow velocity according to the Continuity Equation [6] (Figure 2). However, normal values can be influenced by both physiological factors and patient characteristics. Flow velocities can vary naturally from minute to minute. Recordings are inherently dependent upon vascular anatomy, angle of insonation, vessel diameter, cerebral blood flow (CBF), and collateral circulation. Confounding factors include mean arterial blood pressure (MAP), PCO2, intracranial pressure, age, sex, pregnancy, and arousal state [7]. Pathological conditions including edema or increased intracranial pressure can fundamentally affect the speed, waveform, or turbulence of cerebral blood flow [810]. For clinical relevance, TCD velocities must be interpreted in proper context.

Differentiating elevated TCD velocities secondary to vasospasm versus other causes is critical. This can be accomplished by measuring velocities in the cervical internal carotid artery (ICA) in addition to the intracerebral vessels and creating ratios for clinical use. TCD velocities have been used to create several clinically relevant predictive indices including the Lindegaard Ratio (ratio of MCA TCD velocity to ipsilateral ICA TCD velocity) [11], the Jakobsen Spasm Index (ratio of TCD velocity to CBF via 133Xe) [12], the Vasospasm Probability Index (VPI) [13], and the Ipsilateral/Contralateral MCA mBFV. The Lindegaard Ratio is especially useful for vasospasm diagnosis. A ratio >3 is suggestive of cerebral vasospasm. A similar velocity ratio profile between the basilar and extracranial vertebral arteries can be used to assess for basilar vasospasm [14]. Such ratios aim to overcome the confounding effects of systemic hemodynamic factors such as changes in cardiac output or blood pressure (e.g., during “triple H” therapy of hypervolemia, hypertension, and hemodilution).

Due to lack of radiation risk, relatively low cost and ease/rapidity of bedside administration, TCD measurements are practical for serially monitoring the progression of cerebral vasospasm. However, attempts to correlate TCD velocities with angiographic studies and neurological outcome measures have generated varied results [1518]. The technique is limited by a lack of high-resolution anatomic detail. Further, its accuracy and utility are highly operator-dependent. Patient movement, aberrant vessel course, aneurysm clip artifacts, and suboptimal insonation windows can inhibit the detection of pathological velocities [10]. While TCD measurements demonstrate relatively high specificity, diagnostic sensitivity remains controversial. A 2001 meta-analysis reported that, for MCA vasospasm, overall TCD specificity was 99% and sensitivity 67%, with a PPV of 97% and NPV of 78%. For the ACA, ICA, posterior circulation, and examinations of the distal cerebral microvasculature, TCD values were significantly less sensitive and specific [16, 1922]. A consensus statement in 2004 underscored these results, supporting the conclusion that TCD is a reliable predictor for the absence of angiographic vasospasm (high negative predictive value) at flow velocities < 120 cm/s and for the presence of angiographic vasospasm (high positive predictive value) at flow velocities > 200 cm/s in the MCA territory [9, 17, 19]. Velocity measurements between 120 cm/s and 200 cm/s may require further technical maneuvers (manual carotid compression [23]) or additional clinical information to improve diagnostic accuracy. Moreover, intermediate TCD values generally do not reliably correlate with angiographic vasospasm [17]. Clinically, trends in TCD values or interval changes from prior readings are often more informative than absolute values.

Several newer TCD techniques reduce operator dependence. Power M-mode (PMD) TCD is a technique that facilitates localization of the acoustic window and enables simultaneous visualization of multiple vessels. Currently, the most widely utilized technique for bedside vasospasm detection, PMD-TCD provides information on blood flow velocity, direction, and depth [6]. Transcranial Colour-Coded Duplex Sonography (TCCS) allows for a two-dimensional representation of the basal arteries and incorporates color-coded signals to indicate directionality. This technique provides more accurate parameter measurements and reproducibility, as the entire course of the cerebral vessels can be adequately visualized [6].

3. Digital Subtraction Angiography (DSA)

Digital Subtraction Angiography (DSA) was first introduced in 1980 as a direct method of vessel caliber assessment. The technique was designed to improve previous angiographic methods and generate high contrast, high resolution, low artifact images using digital subtraction [24] (Figure 3). DSA is a fluoroscopic examination. Images are acquired through time-controlled X-rays synchronized to the injection of an iodinated contrast medium into the vasculature via a catheter. Images are produced by digitally subtracting extraneous aspects of the image so that the vessels can be visually isolated and evaluated. “Digital subtraction” involves recording a precontrast image, often called a “mask,” and subsequently removing the mask from later images.

Today, direct visualization by DSA remains the gold standard for radiographic diagnosis of cerebral vasospasm and is often performed when clinical vasospasm is suspected. The severity of vasospasm is classified by vessel caliber. Subjective grading schemes have been proposed. Vasospasm has been regarded as severe if vessel caliber reduction is >50%, moderate if between 25–50%, and mild if reduction is <25%, with respect to two-dimensional diameter [25]. DSA is sensitive and specific for detection of proximal vessel narrowing and allows for potential simultaneous endovascular interventions such as balloon angioplasty and/or selective intra-arterial delivery of vasodilatory medication. In addition to vessel caliber, other parameters that can be quantified by DSA include transit time and the interval between different phases of the circulation.

Three-dimensional rotational angiography allows for the acquisition and reconstruction of vessel images. Processing permits more detailed and informative visualization with fewer acquired sequences. Studies have reported nearly 100% sensitivity and specificity for DSA (two-dimensional) confirmed vasospasm. However, operators have also found 3D reconstructions less informative than standard, two-dimensional DSA due to the presence of “pseudo spastic” vessel segments [26]. As with other 3D imaging techniques, elements of the raw data can be lost in computational reconstruction and processing as algorithms are often designed to produce smooth and aesthetically appealing images. Software, settings (level, contrast, and window), and postprocessing experience used to create the 3D images must be considered.

Despite its accuracy and utility, this technique is limited in several ways. DSA requires a dedicated angiography suite and an experienced operator [25]. Further, as DSA is relatively invasive, costly, and time-consuming, performance of serial studies is challenging [27]. Each procedure has a reported 0.5–2% risk of iatrogenic stroke or catheter-induced vessel injury [1]. Moreover, DSA utilizes iodinated contrast agents and radiation. Studies must be performed judiciously in patients with known iodinated contrast allergies or renal insufficiency [24]. Finally, angiography provides no information about tissue perfusion or ischemia [16]. Despite its utility in assessing vessel caliber, positive findings do not universally correlate with clinical symptomatology.

4. Computed Tomographic Angiography (CTA)

Simultaneous image acquisition with helical CT scanners forms the foundation of CT Angiography (CTA). Since its introduction into clinical practice, technological advances have led to faster imaging with improved spatial resolution. Dynamic scanning has reduced section thickness to submillimeter levels rendering three-dimensional imaging feasible and significantly condensing acquisition times [3]. CTA was first used in the assessment of cerebral vasospasm in 1997 [28]. With the advent of multidetector CTA, the technique requires less contrast medium and optimizes spatial resolution [29] (Figure 4). Modern CTA involves intravenous injection of an iodinated contrast bolus followed by rapid scanning. Acquisition time lasts no more than 1 minute [3032]. CTA is a fast, reliable, and relatively inexpensive method for detecting decreases in vessel caliber [3335]. Studies have reported high accuracy in diagnosis of proximal vasospasm, as well as an ability to differentiate between mild, moderate, and severe vessel narrowing [3638]. Reports of the sensitivity, specificity, and accuracy of CTA as a diagnostic tool have varied considerably among studies with differing patient sample sizes and inclusion criteria. However, a 2010 meta-analysis reported overall sensitivities and specificities of 80%, 93%, respectively [39]. Other advantages include the ability to synchronize the CTA examination with multimodal CT imaging, including noncontrast CT (to assess for hydrocephalus, hemorrhage, completed infarction, etc.) and CT perfusion.

CTA has several limitations. Like many other imaging modalities it is a technique dependent. Proper execution requires correct timing of bolus injection and image acquisition. CTA, especially when performed serially, poses risks of radiation and iodinated contrast exposure. Judgment should be employed in patients with iodinated contrast allergy or impaired renal function. CTA images can be degraded by beam-hardening artifact of nearby clips and coils and often exhibit suboptimal visualization of distal vasculature [1, 29, 30, 38]. Finally, CTA can overrate the degree of vasospasm by underestimating the vessel diameter of large cerebral arteries [4042]. As CTA is minimally invasive, repeatable, and relatively inexpensive, it has been investigated as a possible surrogate, or substitute, for DSA. Studies have generally shown high correlation between CTA and DSA, especially in cases of more severe vasospasm [29, 36, 4043]. While CTA remains an adequate method for detecting proximal vasospasm, a negative, or inconclusive, result should not preclude further investigation [38, 42].

5. Magnetic Resonance Angiography (MRA)

Magnetic Resonance Angiography (MRA) was introduced as a noninvasive method for vascular imaging in 1986 [44]. Initially utilized for the diagnosis of intracranial aneurysms and atherosclerotic-related vascular stenosis, the technique was not routinely applied to the diagnosis of vasospasm until 1995 [45]. MRA may now be performed using various flow-independent strategies and is capable of addressing both radiographic vessel narrowing and physiological measurements relevant to vasospasm [1, 46].

The standard technique utilized in evaluation of cerebral vasospasm is the time of flight (TOF) sequence. Application centers on the principle that flowing blood experiences less excitation pulse than surrounding static tissue. Blood is excited in the neck by brief pulses and imaged in the brain. As circulating blood remains unsaturated by the excitation pulses, the vessels create higher signal intensity than the surrounding static tissue, allowing for visualization (Figure 5). Studies may be programmed to assess either arterial or venous flow by adjusting the time at which images are captured following excitation pulses [1].

TOF-MRA is noninvasive and requires neither radiation nor contrast exposure [1, 33]. Further, TOF-MRA provides images with relatively high spatial resolution (1 mm) [1, 47] and multiplanar postprocessing capabilities [28]. In an investigation reported in 2000, MRA demonstrated an overall specificity of 97% in demonstrating vasospasm. The technique also exhibited high sensitivity for vasospasm in the ACA (100%). However, it failed to demonstrate high sensitivities for vasospasm in the ICA (25%) and MCA (56%) [46]. It was concluded that while MRA can adequately detect cerebral vasospasm, it remains inferior to DSA in overall accuracy, especially in the ICA and MCA vessels [46, 47]. Owing to a high negative predictive value, TOF-MRA may be useful as a noninvasive screening tool assessing for alternate etiologies of neurological decline [27, 48]. TOF-MRA produces fewer artifacts from platinum embolization coils than CTA and is therefore superior to the latter for imaging the vasculature adjacent to them. However, visualization adjacent to nitinol stents is limited.

TOF-MRA studies require transport to an MRI suite, fairly extensive study times, and prolonged patient cooperation [1, 27]. As the data acquisition sequence is heavily T1 weighted, image artifacts can arise secondary to technical issues. Artifact can be generated by aneurysm clips or residual air from recent surgery, interference due to the presence of methemoglobin in the subarachnoid space, high fat concentrations, or tissue with a naturally high T1 signal [1]. Finally, technical image acquisition issues can result in a limited ability to detect slow flow. Vessel narrowing may be overestimated in the presence of turbulent flow, which creates signal dissipation [48, 49].

An alternate MRA technique is phase contrasted MRA (PC-MRA). This method involves overlaying sequential images and subsequently extracting the signal generated by flowing blood. Assessment can be tailored to specific velocities and directional flow evaluated. While this method allows for higher contrast images and limits T1 artifact, it requires longer acquisition times and is less reliable in assessing for intracranial vessel narrowing. Flow velocities can be measured, but are susceptible to signal loss from turbulence [4749]. While MRA has advantages over other imaging techniques, it has not been universally accepted as a self-sufficient and reliable diagnostic tool for vasospasm detection and is often employed in conjunction with other studies.

6. Positron Emission Tomography (PET)

Positron Emission Tomography (PET) was initially performed to investigate vasospasm in 1977 [50], but has been sparsely utilized for this purpose over the past 35 years. 15O PET is a nuclear imaging technique that involves the injection or inhalation of a radiolabeled 15O isotope. This isotope then forms either H215O or C15O. The radionuclide decays and emits positrons, which collide with an electron causing annihilation. This reaction releases two 511 KeV photons in opposite directions, which can subsequently be detected by a PET scanner. Finally, the scans are correlated with CT images to provide anatomical reference [1, 30] (Figure 6).

15O PET is a noninvasive test that can be repeated. The half-life of the isotope is 122.1 seconds, and the acquisition time for an 15O PET image is less than 3 minutes [1, 16, 52]. The rapidity of the test minimizes the radiation dose to the patient. Furthermore, 15O PET is considered the radiographic gold standard for determining cerebral perfusion parameters, including cerebral blood flow (CBF), cerebral metabolic rate (CMRO2), cerebral blood volume (CBV), oxygen extraction factor (OEF), and cerebrovascular mean transit time (t-CBV/CBF) [1, 30]. 15O PET has been utilized to establish threshold CBF values that differentiate reversible (12–20 mL/100 g/min) and irreversible ischemia (<12 mL/100 g/min) [51]. Studies have demonstrated that CBF, CMRO2, and CBV values are decreased in the setting of cerebral vasospasm, suggesting dysfunctional vasodilatory compensation in response to ischemia [53].

Despite its utility in providing dynamic information about cerebral hemodynamics and metabolism during vasospasm, 15O PET has several practical limitations. Logistically, 15O PET is a cumbersome examination, as it requires an expensive on-site cyclotron for isotope creation and patient transfer to a PET scanning machine/facility. As H215O and C15O are nonlipid soluble tracers, recorded CBF values have inherent imprecision. Inaccuracy is most pronounced when CBF values increase >20 mL/100 g/min [1]. Thus, while 15O PET is a valuable tool for assessing cerebral perfusion and understanding the hemodynamics of vasospasm, it is less practical for clinical management and is uncommonly utilized in this setting.

7. Single Photon Emission Computed Tomography (SPECT)

Single Photon Emission Computed Tomography (SPECT) using -HMPAO was introduced for the measurement of regional cerebral blood flow in 1986 [54]. Soon thereafter, it was utilized as a novel diagnostic tool for detection of regional hypoperfusion secondary to cerebral vasospasm [55].

SPECT is a nuclear imaging technique that measures regional cerebral blood flow (rCBF) by assessing flow-dependent uptake of radioactive tracer [56]. The most commonly used tracer is technetium-99 m coupled to a lipophilic compound, hexamethylpropyleneamine oxime ( -HMPAO), due to availability and permissive cost. Following intravenous injection, the tracer readily passes the blood brain barrier and is converted to a hydrophilic form that can be retained for long periods of time (half-life of 24–48 hours) [30]. This allows for delayed imaging if necessary. Conversion of the lipophilic radiotracer to a hydrophilic one prevents its redistribution back into the circulation, thus permitting an instantaneous snapshot of cerebral perfusion at the time it is injected intravenously. Isotope tracer concentrations are then measured in 360° rotation using a planar gamma camera, and data is coupled to tomographic sequences to provide anatomical reference [1, 10]. rCBF measurements determined by HMPAO SPECT are defined in a relative (rather than absolute) fashion and are determined by assessing the difference in proportional compound uptake between a region of interest (vasospasm) and an arbitrarily selected “normal” region, usually the cerebellum or contralateral hemisphere [1, 10, 57] (Figure 7).

This technique is noninvasive, inexpensive, and accessible. Radiopharmaceutical preparation of HMPAO is relatively straightforward, and the technetium gamma emitter is widely available in clinical practice [58]. Studies have repeatedly demonstrated utility in the prediction and detection of delayed ischemic neurological deficit (DIND) in regions of cerebral vasospasm [10, 16, 57, 59] and watershed territories [60]. HMPAO SPECT can reliably detect early changes in relative tissue perfusion and, thereby, assist in differentiating vasospasm-induced hypoperfusion from other causes of neurologic decline [10]. A 1998 study reported the sensitivity and specificity of HMPAO SPECT for detection of vasospasm to be 89% and 75%, respectively. The investigators suggested that a negative HMPAO SPECT test might obviate the need for DSA [61]. HMPAO SPECT has also been utilized to monitor the success of interventional angioplasty in improving regional CBF [57].

Despite these results, the clinical utility of HMPAO SPECT is controversial [27]. On a practical level, the injected compound is difficult to be produced in an emergency setting. Thus, HMPAO SPECT may not be useful as a first-line technique in the setting of potential vasospasm. Further, the images are relatively low in resolution with minimal anatomic detail and granularity, often necessitating and coupling with other imaging modalities [10]. HMPAO SPECT requires radiation, long acquisition times and cannot be rapidly repeated [52]. However, given the relative nature of the CBF measurements provided by HMPAO SPECT, serial studies may actually be necessary to evaluate trends in cerebral perfusion [62]. Finally, the interpretation of the semiquantitative data provided by HMPAO SPECT is based on the assumption that the “affected” regions are being compared to “normal” regions of the brain. This may be an invalid assumption in the setting of diffuse vasospasm, and may affect the interpretation of results. If the patient has symmetric or global perfusion deficit secondary to chronic cerebrovascular disease, postsurgical edema, or peripheral vasospasm then the calculated rCBF values will be inaccurate [1, 10, 56, 63] and may show poor correlation with alternate quantitative cerebral perfusion measurement techniques [64].

8. 133Xenon Clearance Technique

The 133Xenon Clearance Technique (133Xe) was originally introduced for the purpose of studying regional cerebral blood flow in 1966 [65]. It has been utilized, infrequently, to demonstrate regional hypoperfusion (decreased CBF values) in the setting of vasospasm [52, 6669]. The technique is a form of emission CT involving either inhalation or intravenous administration of radioactive xenon (133Xe) [69]. Xenon, a radio-opaque gas that readily diffuses into brain tissue, is used in various imaging modalities, including 133Xenon Clearance and Xenon-Enhanced CT. Bedside collimators detect and quantify 133Xe “washout,” and quantitative cerebral blood flow calculations can subsequently be derived from these values [30] (Figure 8).

This study is minimally invasive and permits delineation of severity and anatomic location of cerebral hypoperfusion [16, 69]. It possesses potential advantages over less accessible and more invasive radiotracer methods. In addition, it is a relatively low cost procedure, and only small doses of radioactive Xenon isotope are required [30, 52]. 133Xe clearance has been effectively used to correlate decreased rCBF values with clinical neurological grade (DIND) [67, 70] and provide stable quantitative CBF measurements that do not rely on comparative values [16].

Xenon Clearance provides images with relatively poor spatial resolution. Further, it can overestimate CBF in regions of low flow or stasis due to surrounding isotope uptake, a phenomenon commonly referred to as “look through” [30]. Xenon clearance has not sustained a prominent role in the current diagnosis and management of cerebral vasospasm.

9. Xenon-Enhanced Computed Tomography (Xe/CT)

Xenon-Enhanced Computed Tomography (Xe 133/CT) was first utilized for the analysis of cerebral perfusion in 1978 [71]. The highly diffusible Xenon gas is administered to evaluate intracranial blood flow using a CT scanner. A 72% oxygen 28% stable Xenon mixture is inhaled by the patient over a period of slightly more than 4 minutes, and the brain is subsequently imaged. End tidal CO2 and Xenon levels are continuously monitored [1, 10, 52, 72].

Quantitative CBF values are calculated using a modified Key-Schmidt equation (shown below), which factors arterial concentration measurements (measured as end tidal Xenon concentration () and tissue arrival times (dependent on blood-brain partition coefficient, λ) to assess Xenon concentration changes over time (Cxebr(t)) [1, 73]:

Flow values are represented with a standardized, color-coded graph [1] (Figure 9). Xe/CT overcomes many of the limitations posed by alternative perfusion techniques as it provides standardized, quantitative CBF data with high resolution and direct anatomical correlation [10, 7275] Measurements of ischemia correlate with clinically significant DIND [1]. Threshold ischemia CBF values for reversible (~15–20 mL/100 g/min) and irreversible ischemia (<~15 mL/100 g/min) [10, 75, 76] correlate with previous threshold values determined using 15O PET [51].

The technique is relatively inexpensive. As the arterial half-life of Xenon is approximately 90 seconds, imaging can be performed repeatedly at the bedside with portable CT scanners during periods of high-risk or potential treatment [1, 10, 52, 77, 78]. Studies have suggested that Xe/CT can identify patients at risk for vasospasm in the setting of normal CT imaging [76].

Limitations relate to equipment availability, patient cooperation, potential side effects (including the possibility of increased intracranial pressure), and relatively high radiation exposure (15–20 rads) [10, 16, 52].

10. Dynamic Perfusion Computed Tomography (PCT)

Dynamic Perfusion Computed Tomography (PCT) is an advanced, CT-based technology facilitated by improved scanning speeds and computer applications. Rapid acquisition enables dynamic evaluation of cerebral blood flow [3, 10]. The technique was first applied to cerebral vasospasm in 2000 [79]. PCT utilizes a nondiffusible contrast medium. First-pass concentrations are measured across the intracranial vasculature [80]. Incremental changes in tissue attenuation are measured on serially acquired CT scans and time-density curves constructed [10, 80]. PCT data processing through deconvolution analysis allows for the calculation of cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and time to peak attenuation. Data can then be used to generate color-coded perfusion maps. The examination is confined to a spatially limited region of interest (ROI), typically at the level of the basal ganglia and lateral ventricles, because this area contains territories supplied by the anterior, middle, and posterior cerebral arteries. CBV and MTT are measured on the time-density curve with CBF calculated according to the central volume principle (Figure 10):

PCT can generate both qualitative and quantitative analyses of cerebral hemodynamics in a repeatable fashion. It can be performed rapidly and can dynamically monitor the sequelae of vasospasm. A traditional CTA can be obtained simultaneously. The study only requires a helical CT scanner and the software necessary for postprocessing. PCT is able to assess relative perfusion deficits secondary to vasospasm [37, 38]. Recent studies have demonstrated that MTT threshold values can be effectively used to differentiate symptomatic vasospasm from infarction [10, 81, 82]. A 2010 meta-analysis reported sensitivities and specificities of 74.1%, 93%, respectively [39]. PCT has been utilized to assess efficacy of new therapies aimed at reversing hemodynamic dysfunction [34, 35, 83].

PCT has several disadvantages. First, despite rapid advances and technological refinements, the radiation dose remains relatively high. Iodinated contrast should be used judiciously in patients with contrast allergies or impaired renal function [10, 34, 38]. In most facilities, limited anatomical coverage capacities (4-5 axial slices in the ROI) can compromise diagnostic sensitivity [10, 84]. PCT exhibits low accuracy in the posterior fossa [85]. Due to the inherent assumptions of the mathematical model, two parameters are critical to the accuracy of PCT testing: (1) adequate delivery of the contrast to the intracranial vasculature and (2) containment of the contrast within the vasculature. For this reason, patients with marked cardiovascular disease or blood brain barrier disruption are not ideal candidates [80].

11. Diffusion-Weighted and MR Perfusion Imaging (DWI/PWI)

Clinically, Magnetic Resonance Imaging (MRI) was not performed until 1981. Techniques and equipment have advanced rapidly since. MR studies now exhibit high-spatial resolution and include three-dimensional capabilities [3]. Diffusion-Weighted (DWI) and MR Perfusion Imaging sequences are tailored protocols, first used to evaluate acute stroke in the 1990s [86]. DWI and MR perfusion imaging are mechanistically different modalities, but are often considered and performed together [10]. Diffusion-Weighted MRI is based on proton motion and diffusion of water molecules. In early phases of permanent ischemic brain injury, water diffusivity is markedly decreased due to failure of the Na,K-ATPase pump in cellular membranes, which produces increased signal on DWI images [16, 87]. Perfusion MR imaging is similar to Perfusion CT in that it evaluates cerebral hemodynamics. There are two perfusion applications: arterial spin labeling (ASL) and dynamic susceptibility contrast imaging (DSCI). ASL is utilized more frequently for experimental purposes, while DSCI is employed clinically. DSCI involves the injection of gadolinium (a paramagnetic contrast agent) and measurement of concentration changes related to the first-pass bolus. T2 relaxation changes are proportional to the degree of perfusion [1, 10].

Unlike Perfusion CT, Diffusion/Perfusion MR techniques allow whole brain imaging and evaluation of cerebral perfusion deficits without radiation exposure [1, 10, 35, 88]. DWI does not require contrast [1] and is capable of providing information on tissue viability in the acute phase. It is sensitive (88–100%) in detecting early brain infarction and assessing cytotoxic tissue edema [1, 10, 16, 89, 90]. Apparent diffusion coefficient (ADC) values are used to confirm true diffusion restriction on DWI sequences. [89]. Perfusion imaging can be utilized to evaluate for cerebral blood flow parameters and extrapolate autoregulation capacity. CBF, CBV, mean time to enhance, and time to peak values are measured and displayed graphically [1, 16, 91]. Coupling of DWI and MR perfusion imaging can reveal a potential “mismatch,” differentiating salvageable ischemic penumbra from infarcted core [10, 16, 27, 9194] (Figure 11). Delineation of the ischemic penumbra may help guide therapeutic and interventional management decisions. Advanced perfusion-based MR imaging modalities, such as permeability sequences, may also hold promise in early diagnosis of cerebral vasospasm. Detection of blood brain barrier breakdown might suggest “at risk” tissue prior to vessel caliber changes or frank perfusion deficits.

DWI and perfusion imaging remain limited by cost, availability, and time requirements. These methods require patient transportation and cooperation and remain susceptible to artifacts from methemoglobin and certain aneurysm clips [1, 10, 27, 35]. Tissue anisotropy presents an inherent problem, causing potential variability in ADC values [1, 87, 89]. Further, universally available perfusion applications generate only relative rather than absolute flow values. Consensus has not been reached as to which parameters most accurately define the threshold of ischemic core and penumbra [1, 10].

12. Conclusion

Multiple advanced imaging modalities have been applied to the diagnosis of cerebral vasospasm. Each has advantages and inherent limitations. As technology and conceptual models continue to progress, more relevant data will be generated and understanding acquired. The synthesis of techniques that assess both cerebral vasculature and brain tissue function may provide meaningful correlation of structural and physiologic imaging parameters with clinical findings.


W. J. Mack serves in the Clinical Events Committee for the Penumbra Therapy Trial.


W. J. Mack is supported by a KL2 Grant from the National Institute of Health through the Southern California CTSI (1 KL2 RR 31991-1), a Beginning Grant in Aid through the American Heart Association (12BGIA8700001), and the Carol W. Harvey Memorial Chair of Research Grant through the Brain Aneurysm Foundation.


  1. A. P. Carlson and H. Yonas, “Radiographic assessment of vasospasm after aneurysmal subarachnoid hemorrhage: the physiological perspective,” Neurological Research, vol. 31, no. 6, pp. 593–604, 2009. View at: Publisher Site | Google Scholar
  2. A. Ecker and P. A. Riemenschneider, “Arteriographic demonstration of spasm of the intracranial arteries, with special reference to saccular arterial aneurysms,” Journal of Neurosurgery, vol. 8, no. 6, pp. 660–667, 1951. View at: Google Scholar
  3. E. G. Hoeffner, S. K. Mukherji, A. Srinivasan, and D. J. Quint, “Neuroradiology back to the future: brain imaging,” American Journal of Neuroradiology, vol. 33, no. 1, pp. 5–11, 2012. View at: Publisher Site | Google Scholar
  4. R. Aaslid, T. M. Markwalder, and H. Nornes, “Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries,” Journal of Neurosurgery, vol. 57, no. 6, pp. 769–774, 1982. View at: Google Scholar
  5. R. Aaslid, P. Huber, and H. Nornes, “Evaluation of cerebrovascular spasm with transcranial Doppler ultrasound,” Journal of Neurosurgery, vol. 60, no. 1, pp. 37–41, 1984. View at: Google Scholar
  6. A. Rigamonti, A. Ackery, and A. J. Baker, “Transcranial Doppler monitoring in subarachnoid hemorrhage: a critical tool in critical care,” Canadian Journal of Anesthesia, vol. 55, no. 2, pp. 112–123, 2008. View at: Google Scholar
  7. H. White and B. Venkatesh, “Applications of transcranial Doppler in the ICU: a review,” Intensive Care Medicine, vol. 32, no. 7, pp. 981–994, 2006. View at: Publisher Site | Google Scholar
  8. B. L. Clyde, D. K. Resnick, H. Yonas, H. A. Smith, and A. M. Kaufmann, “The relationship of blood velocity as measured by transcranial Doppler ultrasonography to cerebral blood flow as determined by stable xenon computed tomographic studies after aneurysmal subarachnoid hemorrhage,” Neurosurgery, vol. 38, no. 5, pp. 896–905, 1996. View at: Google Scholar
  9. M. A. Sloan, A. V. Alexandrov, C. H. Tegeler et al., “Assessment: transcranial Doppler ultrasonography: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology,” Neurology, vol. 62, no. 9, pp. 1468–1481, 2004. View at: Google Scholar
  10. S. P. Lad, R. Guzman, M. E. Kelly et al., “Cerebral perfusion imaging in vasospasm,” Neurosurgical Focus, vol. 21, no. 3, p. E7, 2006. View at: Google Scholar
  11. K. F. Lindegaard, H. Nornes, S. J. Bakke, W. Sorteberg, and P. Nakstad, “Cerebral vasospasm diagnosis by means of angiography and blood velocity measurements,” Acta Neurochirurgica, vol. 100, no. 1-2, pp. 12–24, 1989. View at: Google Scholar
  12. M. Jakobsen, E. Enevoldsen, and T. Dalager, “Spasm index in subarachnoid haemorrhage: consequences of vasospasm upon cerebral blood flow and oxygen extraction,” Acta Neurologica Scandinavica, vol. 82, no. 5, pp. 311–320, 1990. View at: Google Scholar
  13. N. R. Gonzalez, W. J. Boscardin, T. Glenn, F. Vinuela, and N. A. Martin, “Vasospasm probability index: a combination of transcranial Doppler velocities, cerebral blood flow, and clinical risk factors to predict cerebral vasospasm after aneurysmal subarachnoid hemorrhage,” Journal of Neurosurgery, vol. 107, no. 6, pp. 1101–1112, 2007. View at: Publisher Site | Google Scholar
  14. G. E. Sviri, B. Ghodke, G. W. Britz et al., “Transcranial Doppler grading criteria for basilar artery vasospasm,” Neurosurgery, vol. 59, no. 2, pp. 360–365, 2006. View at: Publisher Site | Google Scholar
  15. R. W. Seiler, P. Grolimund, R. Aaslid et al., “Cerebral vasospasm evaluated by transcranial ultrasound correlated with clinical grade and CT-visualized subarachnoid hemorrhage,” Journal of Neurosurgery, vol. 64, no. 4, pp. 594–600, 1986. View at: Google Scholar
  16. G. Rordorf, W. J. Koroshetz, W. A. Copen et al., “Diffusion- and perfusion-weighted imaging in vasospasm after subarachnoid hemorrhage,” Stroke, vol. 30, no. 3, pp. 599–605, 1999. View at: Google Scholar
  17. Y. Y. Vora, M. Suarez-Almazor, D. E. Steinke, M. L. Martin, and J. M. Findlay, “Role of transcranial Doppler monitoring in the diagnosis of cerebral vasospasm after subarachnoid hemorrhage,” Neurosurgery, vol. 44, no. 6, pp. 1237–1247, 1999. View at: Publisher Site | Google Scholar
  18. Y. Okada, T. Shima, M. Nishida et al., “Comparison of transcranial Doppler investigation of aneurysmal vasospasm with digital subtraction angiographic and clinical findings,” Neurosurgery, vol. 45, no. 3, pp. 443–449, 1999. View at: Publisher Site | Google Scholar
  19. C. Lysakowski, B. Walder, M. C. Costanza, and M. R. Tramèr, “Transcranial Doppler versus angiography in patients with vasospasm due to a ruptured cerebral aneurysm: a systematic review,” Stroke, vol. 32, no. 10, pp. 2292–2298, 2001. View at: Google Scholar
  20. M. A. Sloan, E. C. Haley Jr., N. F. Kassel et al., “Sensitivity and specificity of transcranial Doppler ultrasonography in the diagnosis of vasospasm following subarachnoid hemorrhage,” Neurology, vol. 39, no. 11, pp. 1514–1518, 1989. View at: Google Scholar
  21. P. Creissard, F. Proust, and O. Langlois, “Vasospasm diagnosis: theoretical and real transcranial Doppler sensitivity,” Acta Neurochirurgica, vol. 136, no. 3-4, pp. 181–185, 1995. View at: Publisher Site | Google Scholar
  22. E. Carrera, J. M. Schmidt, M. Oddo et al., “Transcranial Doppler for predicting delayed cerebral ischemia after subarachnoid hemorrhage,” Neurosurgery, vol. 65, no. 2, pp. 316–323, 2009. View at: Publisher Site | Google Scholar
  23. J. M. K. Lam, P. Smielewski, M. Czosnyka, J. D. Pickard, and P. J. Kirkpatrick, “Predicting delayed ischemic deficits after aneurysmal subarachnoid hemorrhage using a transient hyperemic response test of cerebral autoregulation,” Neurosurgery, vol. 47, no. 4, pp. 819–825, 2000. View at: Google Scholar
  24. E. A. Perez-Arjona, Z. DelProposto, V. Sehgal, and R. D. Fessler, “New techniques in cerebral imaging,” Neurological Research, vol. 24, supplement 1, pp. S17–S26, 2002. View at: Publisher Site | Google Scholar
  25. N. Janjua and S. A. Mayer, “Cerebral vasospasm after subarachnoid hemorrhage,” Current Opinion in Critical Care, vol. 9, no. 2, pp. 113–119, 2003. View at: Publisher Site | Google Scholar
  26. G.-E. Yao, Q. Li, X.-J. Jiang et al., “Vasospasm after subarachnoid hemorrhage: a 3D rotational angiography study,” Acta Neurochirurgica Supplements, vol. 110, part 2, pp. 221–225, 2011. View at: Google Scholar
  27. S. A. Marshall, S. Kathuria, P. Nyquist, and D. Gandhi, “Noninvasive imaging techniques in the diagnosis and management of aneurysmal subarachnoid hemorrhage,” Neurosurgery Clinics of North America, vol. 21, no. 2, pp. 305–323, 2010. View at: Publisher Site | Google Scholar
  28. R. P. Ochi, P. T. Vieco, and C. E. Gross, “CT angiography of cerebral vasospasm with conventional angiographic comparison,” American Journal of Neuroradiology, vol. 18, no. 2, pp. 265–269, 1997. View at: Google Scholar
  29. Y. Otawara, K. Ogasawara, A. Ogawa et al., “Evaluation of vasospasm after subarachnoid hemorrhage by use of multislice computed tomographic angiography,” Neurosurgery, vol. 51, no. 4, pp. 939–942, 2002. View at: Publisher Site | Google Scholar
  30. B. Andrews, Intensive Care in Neurosurgery, Thieme, 2002.
  31. B. L. Dolmatch, “The History of CT Angiography,” Endovascular Today, 2005, View at: Google Scholar
  32. A. J. Moore and D. W. Newell, Neurosurgery: Principles and Practice, Springer, 2005.
  33. R. Takagi, H. Hayashi, H. Kobayashi et al., “Three-dimensional CT angiography of intracranial vasospasm following subarachnoid haemorrhage,” Neuroradiology, vol. 40, no. 10, pp. 631–635, 1998. View at: Publisher Site | Google Scholar
  34. A. Aralasmak, M. Akyuz, C. Ozkaynak, T. Sindel, and R. Tuncer, “CT angiography and perfusion imaging in patients with subarachnoid hemorrhage: correlation of vasospasm to perfusion abnormality,” Neuroradiology, vol. 51, no. 2, pp. 85–93, 2009. View at: Publisher Site | Google Scholar
  35. F. Chen, X. Wang, and B. Wu, “Neuroimaging research on cerebrovascular spasm and its current progress,” Acta Neurochirurgica Supplements, vol. 110, part 2, pp. 233–237, 2011. View at: Google Scholar
  36. G. B. Anderson, R. Ashforth, D. E. Steinke, and J. M. Findlay, “CT angiography for the detection of cerebral vasospasm in patients with acute subarachnoid hemorrhage,” American Journal of Neuroradiology, vol. 21, no. 6, pp. 1011–1015, 2000. View at: Google Scholar
  37. S. Binaghi, M. L. Colleoni, P. Maeder et al., “CT angiography and perfusion CT in cerebral vasospasm after subarachnoid hemorrhage,” American Journal of Neuroradiology, vol. 28, no. 4, pp. 750–758, 2007. View at: Google Scholar
  38. J. J. S. Shankar, I. Y. L. Tan, T. Krings, K. Terbrugge, and R. Agid, “CT angiography for evaluation of cerebral vasospasm following acute subarachnoid haemorrhage,” Neuroradiology, vol. 54, no. 3, pp. 197–203, 2012. View at: Publisher Site | Google Scholar
  39. E. D. Greenberg, R. Gold, M. Reichman et al., “Diagnostic accuracy of CT angiography and CT perfusion for cerebral vasospasm: a meta-analysis,” American Journal of Neuroradiology, vol. 31, no. 10, pp. 1853–1860, 2010. View at: Publisher Site | Google Scholar
  40. D. Y. Yoon, C. S. Choi, K. H. Kim, and B.-M. Cho, “Multidetector-row CT angiography of cerebral vasospasm after aneurysmal subarachnoid hemorrhage: comparison of volume-rendered images and digital subtraction angiography,” American Journal of Neuroradiology, vol. 27, no. 2, pp. 370–377, 2006. View at: Google Scholar
  41. S. D. Ferguson, D. S. Rosen, D. Bardo, and R. L. Macdonald, “Arterial diameters on catheter and computed tomographic angiography,” World Neurosurgery, vol. 73, no. 3, pp. 165–173, 2010. View at: Publisher Site | Google Scholar
  42. C. W. Washington and G. J. Zipfel, “Detection and monitoring of vasospasm and delayed cerebral ischemia: a review and assessment of the literature,” Neurocritical Care, vol. 15, no. 2, pp. 312–317, 2011. View at: Publisher Site | Google Scholar
  43. S. R. Chaudhary, N. Ko, W. P. Dillon et al., “Prospective evaluation of multidetector-row CT angiography for the diagnosis of vasospasm following subarachnoid hemorrhage: a comparison with digital subtraction angiography,” Cerebrovascular Diseases, vol. 25, no. 1-2, pp. 144–150, 2008. View at: Publisher Site | Google Scholar
  44. C. L. Dumoulin and H. R. Hart Jr., “Magnetic resonance angiography,” Radiology, vol. 161, no. 3, pp. 717–720, 1986. View at: Google Scholar
  45. T. Horikoshi, A. Fukamachi, H. Nishi, S. I. Yagi, and I. Fukasawa, “Observation of vasospasm after subarachnoid hemorrhage by magnetic resonance angiography—a preliminary study,” Neurologia Medico-Chirurgica, vol. 35, no. 5, pp. 298–304, 1995. View at: Google Scholar
  46. C. B. Grandin, G. Cosnard, F. Hammer, T. P. Duprez, G. Stroobandt, and P. Mathurin, “Vasospasm after subarachnoid hemorrhage: diagnosis with MR angiography,” American Journal of Neuroradiology, vol. 21, no. 9, pp. 1611–1617, 2000. View at: Google Scholar
  47. S. Tamatani, O. Sasaki, S. Takeuchi, Y. Fujii, T. Koike, and R. Tanaka, “Detection of delayed cerebral vasospasm, after rupture of intracranial aneurysms, by magnetic resonance angiography,” Neurosurgery, vol. 40, no. 4, pp. 748–753, 1997. View at: Publisher Site | Google Scholar
  48. M. Oelerich, M. G. Lentschig, P. Zunker, P. Reimer, E. J. Rummeny, and G. Schuierer, “Intracranial vascular stenosis and occlusion: comparison of 3D time-of-flight and 3D phase-contrast MR angiography,” Neuroradiology, vol. 40, no. 9, pp. 567–573, 1998. View at: Publisher Site | Google Scholar
  49. P. M. Ruggieri, T. J. Masaryk, J. S. Ross, and M. T. Modic, “Intracranial magnetic resonance angiography,” CardioVascular and Intervenlional Radiology, vol. 15, no. 1, pp. 71–81, 1992. View at: Google Scholar
  50. R. L. Grubb Jr., M. E. Raichle, J. O. Eichling, and M. H. Gado, “Effects of subarachnoid hemorrhage on cerebral blood volume, blood flow and oxygen utilization in humans,” Journal of Neurosurgery, vol. 46, no. 4, pp. 446–453, 1977. View at: Google Scholar
  51. W. J. Powers, R. L. Grubb Jr., R. P. Baker, M. A. Mintun, and M. E. Raichle, “Regional cerebral blood flow and metabolism in reversible ischemia due to vasospasm. Determination by positron emission tomography,” Journal of Neurosurgery, vol. 62, no. 4, pp. 539–546, 1985. View at: Publisher Site | Google Scholar
  52. R. L. MacDonald and B. Weir, Cerebral Vasospasm, Academic Press, 2001.
  53. A. S. Sarrafzadeh, D. Haux, L. Lüdemann et al., “Cerebral ischemia in aneurysmal subarachnoid hemorrhage: a correlative microdialysis-PET study,” Stroke, vol. 35, no. 3, pp. 638–643, 2004. View at: Publisher Site | Google Scholar
  54. S. H. Yeh, R. S. Liu, H. H. Hu et al., “Brain SPECT imaging with 99Tcm-hexamethylpropyleneamine oxime in the early detection of cerebral infarction: comparison with transmission computed tomography,” Nuclear Medicine Communications, vol. 7, no. 12, pp. 873–878, 1986. View at: Publisher Site | Google Scholar
  55. D. Rawluk, F. W. Smith, H. E. Deans, H. G. Gemmell, and A. F. MacDonald, “Technetium 99m HMPAO scanning in patients with subarachnoid haemorrhage: a preliminary study,” British Journal of Radiology, vol. 61, no. 721, pp. 26–29, 1988. View at: Google Scholar
  56. J. G. Rajendran, D. H. Lewis, D. W. Newell, and H. R. Winn, “Brain SPECT used to evaluate vasospasm after subarachnoid hemorrhage: correlation with angiography and transcranial Doppler,” Clinical Nuclear Medicine, vol. 26, no. 2, pp. 125–130, 2001. View at: Publisher Site | Google Scholar
  57. D. H. Lewis, J. M. Eskridge, D. W. Newell et al., “Brain SPECT and the effect of cerebral angioplasty in delayed ischemia due to vasospasm,” Journal of Nuclear Medicine, vol. 33, no. 10, pp. 1789–1796, 1992. View at: Google Scholar
  58. S. Davis, J. Andrews, M. Lichtenstein et al., “A single-photon emission computed tomography study of hypoperfusion after subarachnoid hemorrhage,” Stroke, vol. 21, no. 2, pp. 252–259, 1990. View at: Google Scholar
  59. S. Naderi, M. A. Ozgüven, H. Bayhan, H. Gökalp, A. Erdoğan, and N. Egemen, “Evaluation of cerebral vasospasm in patients with subarachnoid hemorrhage using single photon emission computed tomography,” Neurosurgical Review, vol. 17, no. 4, pp. 261–265, 1994. View at: Publisher Site | Google Scholar
  60. D. Hasan, J. van Peski, I. Loeve, E. P. Krenning, and M. Vermeulen, “Single photon emission computed tomography in patients with acute hydrocephalus or with cerebral ischaemia after subarachnoid haemorrhage,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 54, no. 6, pp. 490–493, 1991. View at: Google Scholar
  61. R. A. Powsner, L. A. O'Tuama, A. Jabre, and E. R. Melhem, “SPECT imaging in cerebral vasospasm following subarachnoid hemorrhage,” Journal of Nuclear Medicine, vol. 39, no. 5, pp. 765–769, 1998. View at: Google Scholar
  62. A. Egge, H. Sjøholm, K. Waterloo, T. Solberg, T. Ingebrigtsen, and B. Romner, “Serial single-photon emission computed tomographic and transcranial Doppler measurements for evaluation of vasospasm after aneurysmal subarachnoid hemorrhage,” Neurosurgery, vol. 57, no. 2, pp. 237–242, 2005. View at: Publisher Site | Google Scholar
  63. J. M. Rosen, A. V. Butala, J. M. Oropello et al., “Postoperative changes on brain SPECT imaging after aneurysmal subarachnoid hemorrhage. A potential pitfall in the evaluation of vasospasm,” Clinical Nuclear Medicine, vol. 19, no. 7, pp. 595–597, 1994. View at: Google Scholar
  64. H. Yonas, R. R. Pindzola, C. C. Meltzer, and H. Sasser, “Qualitative versus quantitative assessment of cerebrovascular reserves,” Neurosurgery, vol. 42, no. 5, pp. 1005–1010, 1998. View at: Publisher Site | Google Scholar
  65. K. Hoedt-Rasmussen, E. Sveinsdottir, and N. A. Lassen, “Regional cerebral blood flow in man determined by intra-arterial injection of radioactive inert gas,” Circulation Research, vol. 18, no. 3, pp. 237–247, 1966. View at: Google Scholar
  66. M. P. Heilbrun, J. Olesen, and N. A. Lassen, “Regional cerebral blood flow studies in subarachnoid hemorrhage,” Journal of Neurosurgery, vol. 37, no. 1, pp. 36–44, 1972. View at: Google Scholar
  67. R. Ishii, “Regional cerebral blood flow in patients with ruptured intracranial aneurysms,” Journal of Neurosurgery, vol. 50, no. 5, pp. 587–594, 1979. View at: Publisher Site | Google Scholar
  68. I. Yamakami, K. Isobe, A. Yamaura et al., “Vasospasm and regional cerebral blood flow (rCBF) in patients with ruptured intracranial aneurysm: serial rCBF studies with the xenon-133 inhalation method,” Neurosurgery, vol. 13, no. 4, pp. 394–401, 1983. View at: Google Scholar
  69. B. Mickey, S. Vorstrup, B. Voldby et al., “Serial measurement of regional cerebral blood flow in patients with SAH using 133Xe inhalation and emission computerized tomography,” Journal of Neurosurgery, vol. 60, no. 5, pp. 916–922, 1984. View at: Google Scholar
  70. B. Voldby, E. M. Enevoldsen, and F. T. Jensen, “Regional CBF, intraventricular pressure, and cerebral metabolism in patients with ruptured intracranial aneurysms,” Journal of Neurosurgery, vol. 62, no. 1, pp. 48–58, 1985. View at: Google Scholar
  71. B. P. Drayer, S. K. Wolfson, O. M. Reinmuth, M. Dujovny, M. Boehnke, and E. E. Cook, “Xenon enhanced CT for analysis of cerebral integrity, perfusion, and blood flow,” Stroke, vol. 9, no. 2, pp. 123–130, 1978. View at: Publisher Site | Google Scholar
  72. H. Yonas, J. M. Darby, E. C. Marks, S. R. Durham, and C. Maxwell, “CBF measured by Xe-CT: approach to analysis and normal values,” Journal of Cerebral Blood Flow & Metabolism, vol. 11, no. 5, pp. 716–725, 1991. View at: Publisher Site | Google Scholar
  73. D. Gur, W. F. Good, S. K. Wolfson Jr. et al., “In vivo mapping of local cerebral blood flow by xenon-enhanced computed tomography,” Science, vol. 215, no. 4537, pp. 1267–1268, 1982. View at: Google Scholar
  74. P. R. Kishore, G. U. Rao, R. E. Fernandez et al., “Regional cerebral blood flow measurements using stable xenon enhanced computed tomography: a theoretical and experimental evaluation,” Journal of Computer Assisted Tomography, vol. 8, no. 4, pp. 619–630, 1984. View at: Publisher Site | Google Scholar
  75. H. Yonas, L. Sekhar, D. W. Johnson, and D. Gur, “Determination of irreversible ischemia by xenon-enhanced computed tomographic monitoring of cerebral blood flow in patients with symptomatic vasospasm,” Neurosurgery, vol. 24, no. 3, pp. 368–372, 1989. View at: Google Scholar
  76. M. B. Fukui, D. W. Johnson, H. Yonas, L. Sekhar, R. E. Latchaw, and S. Pentheny, “Xe/CT cerebral blood flow evaluation of delayed symptomatic cerebral ischemia after subarachnoid hemorrhage,” American Journal of Neuroradiology, vol. 13, no. 1, pp. 265–270, 1992. View at: Google Scholar
  77. J. Hillman, P. Sturnegk, H. Yonas et al., “Bedside monitoring of CBF with xenon-CT and a mobile scanner: a novel method in neurointensive care,” British Journal of Neurosurgery, vol. 19, no. 5, pp. 395–401, 2005. View at: Publisher Site | Google Scholar
  78. N. W. Knuckey, R. A. Fox, I. Surveyor, and B. A. R. Stokes, “Early cerebral blood flow and computerized tomography in predicting ischemia after cerebral aneurysm rupture,” Journal of Neurosurgery, vol. 62, no. 6, pp. 850–855, 1985. View at: Google Scholar
  79. D. G. Nabavi, L. M. LeBlanc, B. Baxter et al., “Monitoring cerebral perfusion after subarachnoid hemorrhage using CT,” Neuroradiology, vol. 43, no. 1, pp. 7–16, 2001. View at: Publisher Site | Google Scholar
  80. M. R. Harrigan, C. R. Magnano, L. R. Guterman, and L. N. Hopkins, “Computed tomographic perfusion in the management of aneurysmal subarachnoid hemorrhage: new application of an existent technique,” Neurosurgery, vol. 56, no. 2, pp. 304–317, 2005. View at: Publisher Site | Google Scholar
  81. M. Wintermark, N. U. Ko, W. S. Smith, S. Liu, R. T. Higashida, and W. P. Dillon, “Vasospasm after subarachnoid hemorrhage: utility of perfusion CT and CT angiography on diagnosis and management,” American Journal of Neuroradiology, vol. 27, no. 1, pp. 26–34, 2006. View at: Google Scholar
  82. R. Kanazawa, M. Kato, K. Ishikawa, T. Eguchi, and A. Teramoto, “Convenience of the computed tomography perfusion method for cerebral vasospasm detection after subarachnoid hemorrhage,” Surgical Neurology, vol. 67, no. 6, pp. 604–611, 2007. View at: Publisher Site | Google Scholar
  83. A. M. Laslo, J. D. Eastwood, F.-X. Chen, and T.-Y. Lee, “Dynamic CT perfusion imaging in subarachnoid hemorrhage-related vasospasm,” American Journal of Neuroradiology, vol. 27, no. 3, pp. 624–631, 2006. View at: Google Scholar
  84. E. G. Hoeffner, I. Case, R. Jain et al., “Cerebral perfusion CT: technique and clinical applications,” Radiology, vol. 231, no. 3, pp. 632–644, 2004. View at: Publisher Site | Google Scholar
  85. J. W. Dankbaar, M. Rijsdijk, I. C. van der Schaaf, B. K. Velthuis, M. J. H. Wermer, and G. J. E. Rinkel, “Relationship between vasospasm, cerebral perfusion, and delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage,” Neuroradiology, vol. 51, no. 12, pp. 813–819, 2009. View at: Publisher Site | Google Scholar
  86. A. G. Sorensen, F. S. Buonanno, R. G. Gonzalez et al., “Hyperacute stroke: evaluation with combined multisection diffusion-weighted and hemodynamically weighted echo-planar MR imaging,” Radiology, vol. 199, no. 2, pp. 391–401, 1996. View at: Google Scholar
  87. K. O. Lövblad, M. El-Koussy, R. Guzman et al., “Diffusion-weighted and perfusion-weighted MR of cerebral vasospasm,” Acta Neurochirurgica Supplements, vol. 77, pp. 121–126, 2001. View at: Google Scholar
  88. P. D. Griffiths, I. D. Wilkinson, P. Mitchell et al., “Multimodality MR imaging depiction of hemodynamic changes and cerebral ischemia in subarachnoid hemorrhage,” American Journal of Neuroradiology, vol. 22, no. 9, pp. 1690–1697, 2001. View at: Google Scholar
  89. S. Condette-Auliac, S. Bracard, R. Anxionnat et al., “Vasospasm after subarachnoid hemorrhage interest in diffusion-weighted MR imaging,” Stroke, vol. 32, no. 8, pp. 1818–1824, 2001. View at: Google Scholar
  90. A. A. Wani, R. V. Phadke, S. Behari, R. N. Sahu, A. Jaiswal, and V. K. Jain, “Role of diffusion-weighted MRG in predicting outcome in subarachnoid hemorrhage due to anterior communicating artery aneurysms,” Turkish Neurosurgery, vol. 18, no. 1, pp. 10–16, 2008. View at: Google Scholar
  91. E. Hattingen, S. Blasel, E. Dettmann et al., “Perfusion-weighted MRI to evaluate cerebral autoregulation in aneurysmal subarachnoid haemorrhage,” Neuroradiology, vol. 50, no. 11, pp. 929–938, 2008. View at: Publisher Site | Google Scholar
  92. F. Hertel, C. Walter, M. Bettag, and M. Mörsdorf, “Perfusion-weighted magnetic resonance imaging in patients with vasospasm: a useful new tool in the management of patients with subarachnoid hemorrhage,” Neurosurgery, vol. 56, no. 1, pp. 28–35, 2005. View at: Publisher Site | Google Scholar
  93. T. Ohtonari, K. Kakinuma, T. Kito, I. Ezuka, and T. Kanazawa, “Diffusion-perfusion mismatch in symptomatic vasospasm after subarachnoid hemorrhage,” Neurologia Medico-Chirurgica, vol. 48, no. 8, pp. 331–336, 2008. View at: Publisher Site | Google Scholar
  94. H. Vatter, E. Güresir, J. Berkefeld et al., “Perfusion-diffusion mismatch in MRI to indicate endovascular treatment of cerebral vasospasm after subarachnoid haemorrhage,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 82, no. 8, pp. 876–883, 2011. View at: Publisher Site | Google Scholar

Copyright © 2013 Jena N. Mills et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Related articles

No related content is available yet for this article.
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

No related content is available yet for this article.

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.